Erik Cambria - RankMe

737 papers A* 51A 5B 38C 5Misc 15Journal 450Unranked 154

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A cognition-inspired multimodal framework with association features and pyramid graph fusion network for personality prediction. Expert Syst. Appl. Rongquan Wang, Xianyu Xu, Faten S. Alamri, Erik Cambria
2026	J	`jnl`	A multimodal data-driven method for abnormal condition identification of energy storage batteries based on EAA-Informer. Array Zezhong Sun, Yan Li, Erik Cambria, Jun Xie, Xianxun Zhu
2026	J	`jnl`	AOSNet-Sec: Aperture-orientation-spectrum fusion with statistical Markov repair for trustworthy super-resolution. Pattern Recognit. Zhengnan Yin, Luwei Xiao, Xuan Feng, Yiwei Chen, Xianxun Zhu, Cai Luo, Faten S. Alamri, Rui Mao, Erik Cambria
2026	J	`jnl`	Affective Flow Language Model for Emotional Support Conversation. CoRR Chenghui Zou, Ning Wang, Tiesunlong Shen, Luwei Xiao, Chuan Ma, Xiangpeng Li, Rui Mao, Erik Cambria
2026	J	`jnl`	Artificial Intelligence as the Fourth Decentering Revolution: From Cosmic, Biological, and Psychological Displacement to Cognitive Decentering. Cogn. Comput. Erik Cambria, Rui Mao, Nicola Bianchi, Amir Hussain, Keith Oatley, Geoffrey Hinton
2026	J	`jnl`	Beyond Correlation: Refutation-Validated Aspect-Based Sentiment Analysis for Explainable Energy Market Returns. CoRR Wihan van der Heever, Keane Ong, Ranjan Satapathy, Erik Cambria
2026	A*	`conf`	Beyond I'm Sorry, I Can't: Dissecting Large-Language-Model Refusal. AAAI Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
2026	J	`jnl`	Deep cut-informed graph embedding and clustering. Inf. Fusion Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen
2026	J	`jnl`	Echo: Generating cross-modal features for unseen classes in zero-shot remote sensing image captioning. Inf. Fusion Kangda Cheng, Jinlong Liu, Rui Mao, Zhilu Wu, Erik Cambria
2026	J	`jnl`	Emotional lateralization-inspired spatiotemporal neural networks for EEG-based emotion recognition. Inf. Fusion Dongmin Huang, Dazhi Jiang, Sijin Zhou, Liang Chen, Jiali Lin, Erik Cambria
2026	J	`jnl`	Enhancing Language Models for Robust Greenwashing Detection. CoRR Neil Heinrich Braun, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo
2026	J	`jnl`	FedUAF: Uncertainty-Aware Fusion with Reliability-Guided Aggregation for Multimodal Federated Sentiment Analysis. CoRR Xianxun Zhu, Zezhong Sun, Imad Rida, Erik Cambria, Junqi Su, Rui Wang, Hui Chen
2026	J	`jnl`	FineFake: A knowledge-enriched dataset for fine-grained multi-domain fake news detection. Inf. Fusion Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Erik Cambria, Chaozhuo Li
2026	J	`jnl`	FlowSteer: Interactive Agentic Workflow Orchestration via End-to-End Reinforcement Learning. CoRR Mingda Zhang, Haoran Luo, Tiesunlong Shen, Qika Lin, Xiaoying Tang, Rui Mao, Erik Cambria
2026	J	`jnl`	GPPLEA: Guided Polarity Prompt Learning for Enhanced Emotion Analysis in Low-sample Social Media Environments. Cogn. Comput. Rui Wang, Heyang Feng, Erik Cambria, Md. Jalil Piran, José Santamaría, Ming Ju, Khurram Shahzad, Xianxun Zhu
2026	J	`jnl`	Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection. IEEE Trans. Affect. Comput. Xiaobao Wang, Meng Ge, Lingshan Li, Di Jin, Kai He, Erik Cambria
2026	J	`jnl`	IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models. CoRR Aarish Shah Mohsin, Mohammed Tayyab Ilyas Khan, Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Jiechao Gao
2026	J	`jnl`	Integrating audio-visual text generation with contrastive learning for enhanced multimodal emotion analysis. Inf. Fusion Junyi Xiang, Xianxun Zhu, Erik Cambria
2026	J	`jnl`	Internet meme on social media: A comprehensive review and new perspectives. Inf. Fusion Bingbing Wang, Jingjie Lin, Zhixin Bai, Zihan Wang, Shengzhe Sun, Zhengda Jin, Zhiyuan Wen, Geng Tu, Jing Li, Erik Cambria, Ruifeng Xu
2026	J	`jnl`	Is multimodal conversational emotion recognition satisfactory? Exploring the gaps in performance, generalization, and confidence. Pattern Recognit. Geng Tu, Ran Jing, Xuan Luo, Erik Cambria, Wenjie Li, Ruifeng Xu
2026	A*	`conf`	LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models. AAAI Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria
2026	J	`jnl`	LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models. CoRR Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria
2026	J	`jnl`	Language models for environmental, social, and governance analysis: A review. Inf. Process. Manag. Kelvin Du, Rui Mao, Frank Xing, Gianmarco Mengaldo, Erik Cambria
2026	J	`jnl`	Legal knowledge infusion for large language models: A survey. Inf. Fusion Qian Liu, Hang Yu, Qiqi Wang, Qi Xu, Jinpeng Li, Zhuoqun Zou, Rui Mao, Erik Cambria
2026	A*	`conf`	MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning. AAAI Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu
2026	A*	`conf`	MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization. AAAI Jian Zhang, Zhangqi Wang, Haiping Zhu, Kangda Cheng, Kai He, Bo Li, Qika Lin, Jun Liu, Erik Cambria
2026	J	`jnl`	Multi-task mutual learning for multimodal emotion-cause pair extraction in conversations. Inf. Fusion Geng Tu, Jun Wang, Li Yang, Bin Liang, Erik Cambria, Wenjie Li, Ruifeng Xu
2026	J	`jnl`	Multitask reinforcement learning with metadata-guided adaptive routing. Inf. Fusion Rui Pan, Haoran Luo, Quan Yuan, Guiyang Luo, Jinglin Li, Tiesunlong Shen, Rui Mao, Erik Cambria
2026	J	`jnl`	OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization. CoRR Keane Ong, Sabri Boughorbel, Luwei Xiao, Chanakya Ekbote, Wei Dai, Ao Qu, Jingyao Wu, Rui Mao, Ehsan Hoque, Erik Cambria, Gianmarco Mengaldo, Paul Pu Liang
2026	J	`jnl`	PBDD: A Prompt-Based Learning Approach for Few-Shot Social Media Depression Detection. IEEE Trans. Comput. Soc. Syst. Rui Wang, Heyang Feng, Erik Cambria, Kaize Shi, Xiaohan Yu, Xuhui Fan, Qiang Zhao, Xianxun Zhu
2026	A*	`conf`	RefleXNet: Targeted Self-Reflection for Accurate Chest X-ray Reporting. AAAI Xin Mei, Rui Mao, Xiaoyan Cai, Libin Yang, Erik Cambria
2026	J	`jnl`	Robust multimodal sentiment analysis via double information bottleneck. Inf. Fusion Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2026	J	`jnl`	TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling. Inf. Fusion Jialun Wu, Xin Mei, Rui Mao, Kai He, Erik Cambria
2026	J	`jnl`	The data heat island effect: quantifying the impact of AI data centers in a warming world. CoRR Andrea Marinoni, Erik Cambria, Luca Dal Zilio, Weisi Lin, Mauro Dalla Mura, Jocelyn Chanussot, Edoardo Ragusa, Chi Yan Tso, Yihao Zhu, Benjamin P. Horton
2026	J	`jnl`	Training-free and zero-shot regeneration for hallucination mitigation in MLLMs: Representation understanding perspective. Expert Syst. Appl. Dong Zhang, Yuansheng Ma, Linqin Li, Shoushan Li, Erik Cambria, Guodong Zhou
2026	J	`jnl`	WiVi-UF: Unified feature learning in cross-modal transformers with WiFi and vision data fusion for enhanced human activity recognition. Knowl. Based Syst. Xinhang Lin, Xianxun Zhu, Erik Cambria
2025	J	`jnl`	A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds. Cogn. Comput. Rui Mao, Guanyi Chen, Xiao Li, Mengshi Ge, Erik Cambria
2025	—	`conf`	A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment. ACL (Findings) Quanwei Tang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou
2025	J	`jnl`	A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment. CoRR Quanwei Tang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou
2025	J	`jnl`	A Discourse Structure- and Interlocutor-Guided Network for Dialogue Act Recognition and Sentiment Classification. IEEE Trans. Affect. Comput. Yunhe Xie, Rui Mao, Wei Li, Atika Qazi, Erik Cambria
2025	J	`jnl`	A Literature Survey on Multimodal and Multilingual Sexism Detection. IEEE Trans. Comput. Soc. Syst. Xuan Luo, Bin Liang, Qianlong Wang, Jing Li, Erik Cambria, Xiaojun Zhang, Yulan He, Min Yang, Ruifeng Xu
2025	J	`jnl`	A Retrieval-Augmented Multiagent System for Financial Sentiment Analysis. IEEE Intell. Syst. Kelvin Du, Yazhi Zhao, Rui Mao, Frank Xing, Erik Cambria
2025	J	`jnl`	A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. CoRR Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng
2025	J	`jnl`	A Systematic Analysis of Biases in Large Language Models. CoRR Xulang Zhang, Rui Mao, Erik Cambria
2025	J	`jnl`	A client-server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods. Comput. Methods Programs Biomed. Xianxun Zhu, Zhaozhao Liu, Erik Cambria, Xiaohan Yu, Xuhui Fan, Hui Chen, Rui Wang
2025	J	`jnl`	A comprehensive review on financial explainable AI. Artif. Intell. Rev. Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
2025	J	`jnl`	A review of Chinese sentiment analysis: subjects, methods, and trends. Artif. Intell. Rev. Zhaoxia Wang, Donghao Huang, Jingfeng Cui, Xinyue Zhang, Seng-Beng Ho, Erik Cambria
2025	J	`jnl`	A review of named entity recognition: from learning methods to modelling paradigms and tasks. Artif. Intell. Rev. Wei Liang Seow, Iti Chaturvedi, Amber Hogarth, Rui Mao, Erik Cambria
2025	J	`jnl`	A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. Inf. Fusion Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
2025	J	`jnl`	A survey on pragmatic processing techniques. Inf. Fusion Rui Mao, Mengshi Ge, Sooji Han, Wei Li, Kai He, Luyao Zhu, Erik Cambria
2025	J	`jnl`	Arabic Short-Text Dataset for Sentiment Analysis of Tourism and Leisure Events. Expert Syst. J. Knowl. Eng. Seham Basabain, Ahmed Yassin Al-Dubai, Erik Cambria, Khalid Alomar, Amir Hussain
2025	B	`conf`	Are Horses Always Strong and Donkeys Dumb? Animal Bias in Vision Language Models. IJCNN Mohammad Anas, Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Amir Hussain
2025	J	`jnl`	Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. IEEE Trans. Knowl. Data Eng. Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria
2025	—	`conf`	BForTFin: A Financial Domain-Aware Multiscale Evaluation Method for Time-Series Foundation Models. ICAIF Nigel Cheong, Ling Wei Hsuen, Ranjan Satapathy, Erik Cambria, Rick Siow Mong Goh, Joyjit Chattoraj
2025	J	`jnl`	Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal. CoRR Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
2025	J	`jnl`	Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI. CoRR Dilruk Perera, Gousia Habib, Qianyi Xu, Daniel J. Tan, Kai He, Erik Cambria, Mengling Feng
2025	J	`jnl`	Beyond Specialization: Benchmarking LLMs for Transliteration of Indian Languages. CoRR Gulfarogh Azam, Mohd Sadique, Saif Ali, Mohammad Nadeem, Erik Cambria, Shahab Saquib Sohail, Mohammad Sultan Alam
2025	—	`conf`	Bridging Cognitive Divide: Uncovering Cognitive Disparities among Diabetic Patients via Metaphor. BIBM Wang Zhao, Rui Mao, Shuangyan Deng, Erik Cambria
2025	J	`jnl`	Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science. CoRR Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain
2025	J	`jnl`	CSA-RSIC: Cross-Modal Semantic Alignment for Remote Sensing Image Captioning. IEEE Geosci. Remote. Sens. Lett. Kangda Cheng, Jinlong Liu, Rui Mao, Zhilu Wu, Erik Cambria
2025	J	`jnl`	ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics. CoRR Deeksha Varshney, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo
2025	A*	`conf`	CogMAEC'25: The 1st Workshop on Cognition-oriented Multimodal Affective and Empathetic Computing. ACM Multimedia Hao Fei, Bobo Li, Meng Luo, Qian Liu, Lizi Liao, Fei Li, Min Zhang, Björn W. Schuller, Mong-Li Lee, Erik Cambria
2025	B	`conf`	Cognitive Mechanisms in Loan Marketing: Insights from Concept Mappings. CogSci Rui Mao, Tao Wang, Xulang Zhang, Xinlong Li, Erik Cambria
2025	—	`conf`	Combining LLM-Generated Knowledge Graphs with RAG for Financial Sentiment Extraction. ICDM (Workshops) Zihao Huang, Kelvin Du, Xulang Zhang, Rui Mao, Erik Cambria
2025	J	`jnl`	Continuous Time Markov Chain for Smartwatch Sensors. Expert Syst. J. Knowl. Eng. Iti Chaturvedi, Wei Liang Seow, Amber Hogarth, Luca Adornetto, Erik Cambria
2025	J	`jnl`	Contrastive-Based Removal of Negative Information in Multimodal Emotion Analysis. Cogn. Comput. Rui Wang, Yaoyang Wang, Erik Cambria, Xuhui Fan, Xiaohan Yu, Yao Huang, Xiaosong E, Xianxun Zhu
2025	J	`jnl`	Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. IEEE Trans. Image Process. Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng
2025	J	`jnl`	Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. CoRR Wei Jie Yeo, Rui Mao, Moloud Abdar, Erik Cambria, Ranjan Satapathy
2025	B	`conf`	Decoding Metaphors and Brain Signals in Naturalistic Contexts: An Empirical Study based on EEG and MetaPro. CogSci Rui Mao, Tao Wang, Erik Cambria
2025	J	`jnl`	Deep Cut-informed Graph Embedding and Clustering. CoRR Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen
2025	A*	`conf`	Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation. EMNLP Keane Ong, Rui Mao, Deeksha Varshney, Paul Pu Liang, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation. CoRR Keane Ong, Rui Mao, Deeksha Varshney, Paul Pu Liang, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Detecting Signs of Depression Using Social Media Texts Through an Ensemble of Ensemble Classifiers. IEEE Trans. Affect. Comput. Raymond Chiong, Gregorius Satia Budhi, Erik Cambria
2025	J	`jnl`	Discovering the Cognitive Bias of Toxic Language Through Metaphorical Concept Mappings. Cogn. Comput. Mengshi Ge, Rui Mao, Erik Cambria
2025	J	`jnl`	EMVAS: end-to-end multimodal emotion visualization analysis system. Complex Intell. Syst. Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang
2025	J	`jnl`	ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis. CoRR Keane Ong, Rui Mao, Frank Xing, Ranjan Satapathy, Johan Sulaeman, Erik Cambria, Gianmarco Mengaldo
2025	A*	`conf`	Emotion across Modalities and Cultures: Multilingual Multimodal Emotion-Cause Analysis with Memory-inspired Framework. ACM Multimedia Dan Wu, Xincheng Ju, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou
2025	—	`conf`	Evaluating the Impact of LLM-Manipulated Content on Fake News Detection. PAKDD (Workshops) Donghao Huang, Darius Ng, Zhaoxia Wang, Haibo Pen, Erik Cambria
2025	J	`jnl`	Explainable Multimodal Sentiment Analysis of Social Media Visual Content for Child Safety. IEEE Intell. Syst. Yee Sen Tan, Zhaoxia Wang, Erik Cambria
2025	J	`jnl`	Explainable multi-frequency and multi-region fusion model for affective brain-computer interfaces. Inf. Fusion Tao Wang, Rui Mao, Shuang Liu, Erik Cambria, Dong Ming
2025	J	`jnl`	Explainable natural language processing for corporate sustainability analysis. Inf. Fusion Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo
2025	J	`jnl`	Explainable, robust and fair user-centric AI system for the diagnosis and prognosis of severe pneumonia. Electron. Commer. Res. Appl. Wang Zhao, Dongxiao Gu, Rui Mao, Xiaoyu Wang, Xuejie Yang, Kaixuan Zhu, Hao Hu, Haimiao Mo, Erik Cambria
2025	J	`jnl`	Explicable Artificial Intelligence for Affective Computing. IEEE Intell. Syst. Rui Mao, Erik Cambria, Yang Li, Newton Howard
2025	J	`jnl`	Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. CoRR Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria
2025	J	`jnl`	Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria
2025	J	`jnl`	Fine-grained multimodal fusion for depression assisted recognition based on hierarchical knowledge-enhanced prompt learning. Expert Syst. Appl. Shanliang Yang, Shaojie Liu, Guangjun Nie, Lei Wang, Tao Wang, Jiebing You, Erik Cambria
2025	A*	`conf`	Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees. SIGIR Tiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria
2025	J	`jnl`	From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM. CoRR Xinyi Wu, Yanhao Jia, Luwei Xiao, Shuai Zhao, Fengkuang Chiang, Erik Cambria
2025	J	`jnl`	Gender Bias in Text-to-Video Generation Models: A Case Study of Sora. IEEE Intell. Syst. Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain
2025	J	`jnl`	Gender Bias in Text-to-Video Generation Models: A case study of Sora. CoRR Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain
2025	J	`jnl`	Guest Editorial Extremely Low-Resource Autonomous Affective Learning. IEEE Trans. Affect. Comput. Xinzhou Xu, Björn W. Schuller, Elisabeth André, Erik Cambria
2025	J	`jnl`	Guest Editorial: Multimodal Representation and Reasoning for Social Computing. IEEE Trans. Comput. Soc. Syst. Mengling Feng, Erik Cambria, Qika Lin, Kaize Shi, Weiping Li
2025	J	`jnl`	Harnessing Large Language Models for Scientific Novelty Detection. CoRR Yan Liu, Zonglin Yang, Soujanya Poria, Thanh-Son Nguyen, Erik Cambria
2025	J	`jnl`	Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare. Inf. Fusion Jialun Wu, Kai He, Rui Mao, Xuequn Shang, Erik Cambria
2025	J	`jnl`	Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Inf. Fusion Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2025	Misc	`conf`	Hop-level Direct Preference Optimization for Knowledge Graph Reasoning with Trees. ICASSP Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria
2025	J	`jnl`	Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding. CoRR Keane Ong, Wei Dai, Carol Li, Dewei Feng, Hengzhi Li, Jingyao Wu, Jiaee Cheong, Rui Mao, Gianmarco Mengaldo, Erik Cambria, Paul Pu Liang
2025	J	`jnl`	Improving AI Efficiency in Data Centres by Power Dynamic Response. CoRR Andrea Marinoni, Sai Shivareddy, Pietro Lio', Weisi Lin, Erik Cambria, Clare Grey
2025	J	`jnl`	Individualized Cognitive Simulation in Large Language Models: Evaluating Different Cognitive Representation Methods. CoRR Tianyi Zhang, Xiaolin Zhou, Yunzhe Wang, Erik Cambria, David Traum, Rui Mao
2025	J	`jnl`	Insight at the right spot: Provide decisive subgraph information to Graph LLM with reinforcement learning. Inf. Fusion Tiesunlong Shen, Erik Cambria, Jin Wang, Yi Cai, Xuejie Zhang
2025	J	`jnl`	Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects. CoRR Raziyeh Zall, Alireza Kheyrkhah, Erik Cambria, Zahra Naseri, Mohammadreza Kangavari
2025	J	`jnl`	KE-RSIC: Remote Sensing Image Captioning Based on Knowledge Embedding. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Kangda Cheng, Erik Cambria, Jinlong Liu, Yushi Chen, Zhilu Wu
2025	J	`jnl`	Knowing What and Why: Causal emotion entailment for emotion recognition in conversations. Expert Syst. Appl. Hao Liu, Runguo Wei, Geng Tu, Jiali Lin, Dazhi Jiang, Erik Cambria
2025	—	`conf`	Large Language Models for Logical Fallacy Detection. PAKDD (Workshops) Nicole Teo, Donghao Huang, Erik Cambria, Zhaoxia Wang
2025	J	`jnl`	Learning chain for clause awareness: Triplex-contrastive learning for emotion recognition in conversations. Inf. Sci. Jiazhen Liang, Wai Li, Qingshan Zhong, Jun Huang, Dazhi Jiang, Erik Cambria
2025	J	`jnl`	Leveraging LLMS for Top-Down Sector Allocation In Automated Trading. CoRR Ryan Quek Wei Heng, Edoardo Vittori, Keane Ong, Rui Mao, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence. CoRR Wenjin Liu, Haoran Luo, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria
2025	J	`jnl`	MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. CoRR Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Xinyu Zhang, Fangzhi Xu, Qika Lin, Rui Mao, Erik Cambria, Jun Liu
2025	J	`jnl`	MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization. CoRR Jian Zhang, Zhangqi Wang, Haiping Zhu, Jun Liu, Qika Lin, Erik Cambria
2025	J	`jnl`	MATADOR: Multimodal traffic accident prediction enhanced by multi-source aggregated emotion recognition. Inf. Fusion Sainan Zhang, Rui Mao, Jun Zhang, Luwei Xiao, Erik Cambria
2025	A*	`conf`	MER 2025: When Affective Computing Meets Large Language Models. ACM Multimedia Zheng Lian, Rui Liu, Kele Xu, Bin Liu, Xuefei Liu, Yazhou Zhang, Xin Liu, Yong Li, Zebang Cheng, Haolin Zuo, Ziyang Ma, Xiaojiang Peng, Xie Chen, Ya Li, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2025	J	`jnl`	MER 2025: When Affective Computing Meets Large Language Models. CoRR Zheng Lian, Rui Liu, Kele Xu, Bin Liu, Xuefei Liu, Yazhou Zhang, Xin Liu, Yong Li, Zebang Cheng, Haolin Zuo, Ziyang Ma, Xiaojiang Peng, Xie Chen, Ya Li, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2025	J	`jnl`	MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search. CoRR Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou
2025	J	`jnl`	MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback. CoRR Wanhao Liu, Zonglin Yang, Jue Wang, Lidong Bing, Di Zhang, Dongzhan Zhou, Yuqiang Li, Houqiang Li, Erik Cambria, Wanli Ouyang
2025	A*	`conf`	MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. ICLR Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou
2025	A*	`conf`	MRAC 2025: 3rd International Workshop on Multimodal, Generative and Responsible Affective Computing. ACM Multimedia Zheng Lian, Shreya Ghosh, Erik Cambria, Zhixi Cai, Guoying Zhao, Abhinav Dhall, Björn W. Schuller, Roland Goecke, Jianhua Tao, Tom Gedeon
2025	J	`jnl`	Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective. CoRR Bui Duc Manh, Soumyaratna Debnath, Zetong Zhang, Shriram Damodaran, Arvind Kumar, Yueyi Zhang, Lu Mi, Erik Cambria, Lin Wang
2025	J	`jnl`	Mitigating Jailbreaks with Intent-Aware LLMs. CoRR Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2025	—	`conf`	Multi-Layered Prompting of Small Language Models for Twitter Sentiment Analysis. ICDM (Workshops) Sidney Suen, Ranjan Satapathy, Kenneth Kwok, Erik Cambria
2025	—	`conf`	NMRet: A Memory-Augmented Retrieval Framework for Large Language Models. ICDM (Workshops) Sachin Bhat, Erik Cambria, Haibo Pen
2025	J	`jnl`	Natural language processing in finance: A survey. Inf. Fusion Kelvin Du, Yazhi Zhao, Rui Mao, Frank Xing, Erik Cambria
2025	J	`jnl`	Neural Brain: A Neuroscience-inspired Framework for Embodied Agents. CoRR Jian Liu, Xiongtao Shi, Thai Duy Nguyen, Haitian Zhang, Tianxiang Zhang, Wei Sun, YanJie Li, Athanasios V. Vasilakos, Giovanni Iacca, Arshad Ali Khan, Arvind Kumar, Jae Won Cho, Ajmal Mian, Lihua Xie, Erik Cambria, Lin Wang
2025	—	`conf`	Neurosymbolic AI for Mining Public Opinions on Generative AI's Role in Firm Efficiency. ICDM (Workshops) Sadat Reza, Ben Choi, Kumaran Rajaram, Erik Cambria
2025	—	`conf`	Owls are Wise and Foxes are Unfaithful: Uncovering Animal Stereotypes in Vision Language Models. PAKDD (Workshops) Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail, Mohammad Anas, Erik Cambria
2025	J	`jnl`	Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models. CoRR Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail, Mohammad Anas, Erik Cambria
2025	J	`jnl`	Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning. CoRR Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria
2025	J	`jnl`	Public Opinion Crisis Management via Social Media Mining. IEEE Trans. Affect. Comput. Yu Ma, Rui Mao, Peng Wu, Erik Cambria
2025	J	`jnl`	RMER-DT: Robust multimodal emotion recognition in conversational contexts based on diffusion and transformers. Inf. Fusion Xianxun Zhu, Yaoyang Wang, Erik Cambria, Imad Rida, José Santamaría López, Lin Cui, Rui Wang
2025	B	`conf`	Reasoning with Trees: Faithful Question Answering over Knowledge Graph. COLING Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria
2025	J	`jnl`	ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition. CoRR Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou
2025	J	`jnl`	Robust Multimodal Sentiment Analysis via Double Information Bottleneck. CoRR Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2025	J	`jnl`	SEA-BED: Southeast Asia Embedding Benchmark. CoRR Wuttikorn Ponwitayarat, Raymond Ng, Jann Railey Montalan, Thura Aung, Jian Gang Ngui, Yosephine Susanto, William-Chandra Tjhi, Panuthep Tasawong, Erik Cambria, Ekapol Chuangsuwanich, Sarana Nutanong, Peerat Limkonchotiwat
2025	—	`conf`	SEA-LION: Southeast Asian Languages in One Network. IJCNLP-AACL (long papers) Raymond Ng, Thanh Ngan Nguyen, Yuli Huang, Ngee Chia Tai, Wai Yi Leong, Wei Qi Leong, Xianbin Yong, Jian Gang Ngui, Yosephine Susanto, Nicholas Cheng, Hamsawardhini Rengarajan, Peerat Limkonchotiwat, Adithya Venkatadri Hulagadri, Kok Wai Teng, Yeo Yeow Tong, Bryan Siow, Wei Yi Teo, Choon Meng Tan, Brandon Ong, Zhi Hao Ong, Jann Railey Montalan, Adwin Chan, Sajeban Antonyrex, Ren Lee, Esther Choa, David Ong Tat-Wee, Bing Jie Darius Liu, William-Chandra Tjhi, Erik Cambria, Leslie Teo
2025	J	`jnl`	SEA-LION: Southeast Asian Languages in One Network. CoRR Raymond Ng, Thanh Ngan Nguyen, Yuli Huang, Ngee Chia Tai, Wai Yi Leong, Wei Qi Leong, Xianbin Yong, Jian Gang Ngui, Yosephine Susanto, Nicholas Cheng, Hamsawardhini Rengarajan, Peerat Limkonchotiwat, Adithya Venkatadri Hulagadri, Kok Wai Teng, Yeo Yeow Tong, Bryan Siow, Wei Yi Teo, Wayne Lau, Choon Meng Tan, Brandon Ong, Zhi Hao Ong, Jann Railey Montalan, Adwin Chan, Sajeban Antonyrex, Ren Lee, Esther Choa, David Ong Tat-Wee, Bing Jie Darius Liu, William-Chandra Tjhi, Erik Cambria, Leslie Teo
2025	Misc	`conf`	Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis. SAC Filippo Pallucchini, Xulang Zhang, Rui Mao, Erik Cambria
2025	—	`conf`	SupportPlay: A Multi-Agent Role-Playing System for Personalized and Sustained Multimodal Emotional Support Conversation. WWW (Companion Volume) Geng Tu, Bingbing Wang, Erik Cambria, Wenjie Li, Ruifeng Xu
2025	A*	`conf`	The ACM Multimedia 2025 Grand Challenge of Avatar-based Multimodal Empathetic Conversation. ACM Multimedia Han Zhang, Hao Fei, Hong Han, Lizi Liao, Erik Cambria, Min Zhang
2025	A*	`conf`	The ACM Multimedia 2025 Grand Challenge of Multimodal Conversational Aspect-based Sentiment Analysis. ACM Multimedia Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu
2025	—	`conf`	The Plagiarism Singularity Conjecture. NAACL (Long Papers) Sriram Ranga, Rui Mao, Erik Cambria, Anupam Chattopadhyay
2025	A*	`conf`	Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models. EMNLP Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2025	A*	`conf`	Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark. WWW Han Zhang, Zixiang Meng, Meng Luo, Hong Han, Lizi Liao, Erik Cambria, Hao Fei
2025	J	`jnl`	Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark. CoRR Han Zhang, Zixiang Meng, Meng Luo, Hong Han, Lizi Liao, Erik Cambria, Hao Fei
2025	—	`conf`	Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. ACL (1) Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. CoRR Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo
2025	J	`jnl`	Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. CoRR Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng
2025	J	`jnl`	Ueco: Unified editing chain for efficient appearance transfer with multimodality-guided diffusion. Expert Syst. Appl. Yuansheng Ma, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou
2025	—	`conf`	Understanding Refusal in Language Models with Sparse Autoencoders. EMNLP (Findings) Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Ranjan Satapathy, Roy Ka-Wei Lee, Erik Cambria
2025	J	`jnl`	Understanding Refusal in Language Models with Sparse Autoencoders. CoRR Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Roy Ka-Wei Lee, Erik Cambria, Ranjan Satapathy
2025	A*	`conf`	When Words Smile: Generating Diverse Emotional Facial Expressions from Text. EMNLP Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Erik Cambria, Min Zhang, Hao Fei
2024	—	`conf`	7 Pillars for the Future of AI (abstract). LaCATODA@PRICAI Erik Cambria
2024	B	`conf`	A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction. IJCNN Kelvin Du, Rui Mao, Frank Xing, Erik Cambria
2024	J	`jnl`	A Wide Evaluation of ChatGPT on Affective Computing Tasks. IEEE Trans. Affect. Comput. Mostafa M. Amin, Rui Mao, Erik Cambria, Björn W. Schuller
2024	J	`jnl`	A survey on semantic processing techniques. Inf. Fusion Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
2024	J	`jnl`	AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation. IEEE Intell. Syst. Geng Tu, Taiyu Niu, Ruifeng Xu, Bin Liang, Erik Cambria
2024	—	`conf`	An Evaluation of Reasoning Capabilities of Large Language Models in Financial Sentiment Analysis. CAI Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
2024	J	`jnl`	Arabic text classification based on analogical proportions. Expert Syst. J. Knowl. Eng. Myriam Bounhas, Bilel Elayeb, Amina Chouigui, Amir Hussain, Erik Cambria
2024	J	`jnl`	Are Foundation Models the Next-Generation Social Media Content Moderators? IEEE Intell. Syst. Mohammad Nadeem, Laeeba Javed, Shahab Saquib Sohail, Erik Cambria, Amir Hussain
2024	J	`jnl`	Barrier Function to Skin Elasticity in Talking Head. Cogn. Comput. Iti Chaturvedi, Vlad Pandelea, Erik Cambria, Roy E. Welsch, Bithin Datta
2024	J	`jnl`	Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms? IEEE Intell. Syst. Mohammad Anas, Anam Saiyeda, Shahab Saquib Sohail, Erik Cambria, Amir Hussain
2024	J	`jnl`	Chapter Four - Text-based personality prediction using XLNet. Adv. Comput. Ashok Kumar Jayaraman, Gayathri Ananthakrishnan, Tina Esther Trueman, Erik Cambria
2024	A*	`conf`	Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective. EMNLP Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou
2024	J	`jnl`	Dialogue emotion model based on local-global context encoder and commonsense knowledge fusion attention. Int. J. Mach. Learn. Cybern. Weilun Yu, Chengming Li, Xiping Hu, Wenhua Zhu, Erik Cambria, Dazhi Jiang
2024	J	`jnl`	Disentangled Retrieval and Reasoning for Implicit Question Answering. IEEE Trans. Neural Networks Learn. Syst. Qian Liu, Xiubo Geng, Yu Wang, Erik Cambria, Daxin Jiang
2024	J	`jnl`	Emotion-and-knowledge grounded response generation in an open-domain dialogue setting. Knowl. Based Syst. Deeksha Varshney, Asif Ekbal, Erik Cambria
2024	—	`conf`	EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot. ACL (3) Hao Fei, Han Zhang, Bin Wang, Lizi Liao, Qian Liu, Erik Cambria
2024	J	`jnl`	EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot. CoRR Hao Fei, Han Zhang, Bin Wang, Lizi Liao, Qian Liu, Erik Cambria
2024	—	`conf`	Evaluating Vision Language Models in Detecting Learning Engagement. ICDM (Workshops) Jayant Teotia, Xulang Zhang, Rui Mao, Erik Cambria
2024	—	`conf`	Explainable AI for Stress and Depression Detection in the Cyberspace and Beyond. PAKDD (Workshops) Erik Cambria, Balázs Gulyás, Joyce S. Pang, Nigel V. Marsh, Mythily Subramaniam
2024	J	`jnl`	Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo
2024	A	`conf`	Explainable Stock Price Movement Prediction using Contrastive Learning. CIKM Kelvin Du, Rui Mao, Frank Xing, Erik Cambria
2024	J	`jnl`	Financial Sentiment Analysis: Techniques and Applications. ACM Comput. Surv. Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
2024	J	`jnl`	Fusing pairwise modalities for emotion recognition in conversations. Inf. Fusion Chunxiao Fan, Jie Lin, Rui Mao, Erik Cambria
2024	J	`jnl`	Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection. IEEE Trans. Affect. Comput. Bin Liang, Lin Gui, Yulan He, Erik Cambria, Ruifeng Xu
2024	—	`conf`	GPTEval: A Survey on Assessments of ChatGPT and GPT-4. LREC/COLING Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria
2024	J	`jnl`	Granular Syntax Processing with Multi-Task and Curriculum Learning. Cogn. Comput. Xulang Zhang, Rui Mao, Erik Cambria
2024	J	`jnl`	Guest Editorial: Cognitive Analysis for Humans and AI. Cogn. Comput. Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain
2024	J	`jnl`	Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey. CoRR Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2024	J	`jnl`	Hate speech detection: A comprehensive review of recent works. Expert Syst. J. Knowl. Eng. Ankita Gandhi, Param Ahir, Kinjal Adhvaryu, Pooja Shah, Ritika Lohiya, Erik Cambria, Soujanya Poria, Amir Hussain
2024	—	`conf`	How Interpretable are Reasoning Explanations from Prompting Large Language Models? NAACL-HLT (Findings) Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria
2024	J	`jnl`	How Interpretable are Reasoning Explanations from Prompting Large Language Models? CoRR Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria
2024	J	`jnl`	Integrating graph embedding and neural models for improving transition-based dependency parsing. Neural Comput. Appl. Phuong Le-Hong, Erik Cambria
2024	J	`jnl`	Interest-driven community detection on attributed heterogeneous information networks. Inf. Fusion Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria
2024	—	`conf`	Language Models as Inductive Reasoners. EACL (1) Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2024	—	`conf`	Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. ACL (Findings) Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
2024	—	`conf`	MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. MRAC@MM Zheng Lian, Haiyang Sun, Licai Sun, Zhuofan Wen, Siyuan Zhang, Shun Chen, Hao Gu, Jinming Zhao, Ziyang Ma, Xie Chen, Jiangyan Yi, Rui Liu, Kele Xu, Bin Liu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2024	J	`jnl`	MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. CoRR Zheng Lian, Haiyang Sun, Licai Sun, Zhuofan Wen, Siyuan Zhang, Shun Chen, Hao Gu, Jinming Zhao, Ziyang Ma, Xie Chen, Jiangyan Yi, Rui Liu, Kele Xu, Bin Liu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2024	J	`jnl`	MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. CoRR Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou
2024	—	`conf`	MRAC'24 Track 2: 2nd International Workshop on Multimodal and Responsible Affective Computing. MRAC@MM Zheng Lian, Bin Liu, Rui Liu, Kele Xu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2024	A*	`conf`	Medical Report Generation via Multimodal Spatio-Temporal Fusion. ACM Multimedia Xin Mei, Rui Mao, Xiaoyan Cai, Libin Yang, Erik Cambria
2024	—	`conf`	MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. ACL (Findings) Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria
2024	—	`conf`	MuSe '24: The 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception & Humor. MuSe@ACM Multimedia Lukas Christ, Shahin Amiriparian, Andreas König, Simone Eulitz, Erik Cambria, Björn W. Schuller
2024	B	`conf`	Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages. IJCNN Xulang Zhang, Rui Mao, Erik Cambria
2024	—	`conf`	Multilingual Sentiment Analysis for Investigating Perceptions of Globalization. ICDM (Workshops) Anagha Ani, Erik Cambria
2024	J	`jnl`	Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation. CoRR Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain
2024	—	`conf`	Neurosymbolic AI for Mining Key Aspects of Socially Responsible Investing. ICDM (Workshops) Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Rick Siow Mong Goh
2024	J	`jnl`	Neurosymbolic AI for Mining Public Opinions about Wildfires. Cogn. Comput. Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria
2024	—	`conf`	Neurosymbolic AI for Personalized Sentiment Analysis. HCI (71) Luyao Zhu, Rui Mao, Erik Cambria, Bernard J. Jansen
2024	A*	`conf`	PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. ACM Multimedia Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu
2024	J	`jnl`	PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. CoRR Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu
2024	—	`conf`	Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. ACL (Findings) Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2024	J	`jnl`	Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. CoRR Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2024	J	`jnl`	Predicting word vectors for microtext. Expert Syst. J. Knowl. Eng. Iti Chaturvedi, Ranjan Satapathy, Curtis Lynch, Erik Cambria
2024	J	`jnl`	PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives. Cogn. Comput. Qian Liu, Sooji Han, Erik Cambria, Yang Li, Kenneth Kwok
2024	—	`ed.`	Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, MRAC 2024, Melbourne VIC, Australia, 28 October 2024- 1 November 2024 MRAC@MM Jianhua Tao, Shreya Ghosh, Zheng Lian, Zhixi Cai, Björn W. Schuller, Abhinav Dhall, Guoying Zhao, Dimitrios Kollias, Erik Cambria, Roland Goecke, Tom Gedeon
2024	—	`ed.`	Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, MuSe2024, Melbourne, VIC, Australia, 28 October 2024- 1 November 2024 MuSe@ACM Multimedia Shahin Amiriparian, Lukas Christ, Simone Eulitz, Andreas König, Erik Cambria, Björn W. Schuller
2024	—	`conf`	Prompted Aspect Key Point Analysis for Quantitative Review Summarization. ACL (1) An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
2024	J	`jnl`	Prompted Aspect Key Point Analysis for Quantitative Review Summarization. CoRR An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria
2024	J	`jnl`	Quantitative stock portfolio optimization by multi-task learning risk and return. Inf. Fusion Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
2024	—	`conf`	RTL Agent: An Agent-Based Approach for Functionally Correct HDL Generation via LLMs. ATS Sriram Ranga, Rui Mao, Debjyoti Bhattacharjee, Erik Cambria, Anupam Chattopadhyay
2024	—	`conf`	SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset. LREC/COLING Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria
2024	J	`jnl`	Self-supervised utterance order prediction for emotion recognition in conversations. Neurocomputing Dazhi Jiang, Hao Liu, Geng Tu, Runguo Wei, Erik Cambria
2024	—	`conf`	Self-training Large Language Models through Knowledge Detection. EMNLP (Findings) Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria
2024	J	`jnl`	Self-training Large Language Models through Knowledge Detection. CoRR Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria
2024	—	`conf`	SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). SemEval@NAACL Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty
2024	J	`jnl`	SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). CoRR Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty
2024	—	`conf`	SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations. SemEval@NAACL Fanfan Wang, Heqing Ma, Rui Xia, Jianfei Yu, Erik Cambria
2024	J	`jnl`	SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations. CoRR Fanfan Wang, Heqing Ma, Jianfei Yu, Rui Xia, Erik Cambria
2024	—	`conf`	SenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing. HCI (71) Erik Cambria, Xulang Zhang, Rui Mao, Melvin Chen, Kenneth Kwok
2024	—	`conf`	SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis. ACL (Findings) Xulang Zhang, Rui Mao, Erik Cambria
2024	J	`jnl`	Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis. IEEE Trans. Affect. Comput. Arwa Diwali, Kawther Saeedi, Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain
2024	—	`conf`	Sentiment Analysis on Climate Change for Sustainable Investment. ICDM (Workshops) Keane Ong, Rui Mao, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo
2024	—	`conf`	TbExplain: A Text-Based Explanation Method for Scene Classification Models With the Statistical Prediction Correction. GUIDE-AI@SIGMOD Amirhossein Aminimehr, Pouya Khani, Amirali Molaei, Amirmohammad Kazemeini, Erik Cambria
2024	J	`jnl`	Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Kai He, Rui Mao, Yucheng Huang, Tieliang Gong, Chen Li, Erik Cambria
2024	—	`conf`	The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. MuSe@ACM Multimedia Shahin Amiriparian, Lukas Christ, Alexander Kathan, Maurice Gerczuk, Niklas Müller, Steffen Klug, Lukas Stappen, Andreas König, Erik Cambria, Björn W. Schuller, Simone Eulitz
2024	J	`jnl`	The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. CoRR Shahin Amiriparian, Lukas Christ, Alexander Kathan, Maurice Gerczuk, Niklas Müller, Steffen Klug, Lukas Stappen, Andreas König, Erik Cambria, Björn W. Schuller, Simone Eulitz
2024	—	`conf`	Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements. ACL (1) Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria
2024	J	`jnl`	Toward Responsible Recommender Systems. IEEE Intell. Syst. Przemyslaw Kazienko, Erik Cambria
2024	J	`jnl`	Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models. CoRR Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
2024	J	`jnl`	Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark. CoRR Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Hongyuan Zhu, Erik Cambria, Min Zhang, Hao Fei
2024	A	`conf`	Two Heads are Better than One: Zero-shot Cognitive Reasoning via Multi-LLM Knowledge Fusion. CIKM Liang Liu, Dong Zhang, Shoushan Li, Guodong Zhou, Erik Cambria
2024	A*	`conf`	Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. IJCAI Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria
2024	—	`conf`	Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis. ICDM (Workshops) Kaicheng Xue, Xulang Zhang, Rui Mao, Erik Cambria
2024	B	`conf`	Unveiling Diplomatic Narratives: Analyzing United Nations Security Council Debates Through Metaphorical Cognition. CogSci Rui Mao, Tianwei Zhang, Qian Liu, Amir Hussain, Erik Cambria
2024	—	`conf`	Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis. EMNLP (Findings) Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria
2024	J	`jnl`	XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models. CoRR Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Andrea Seveso
2024	J	`jnl`	XTime: A general rule-based method for time expression recognition and normalization. Knowl. Based Syst. Xiaoshi Zhong, Chenyu Jin, Mengyu An, Erik Cambria
2023	J	`jnl`	A Comprehensive Review on Financial Explainable AI. CoRR Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo
2023	J	`jnl`	A Hotel Ranking Model Through Online Reviews With Aspect-Based Sentiment Analysis. Int. J. Inf. Technol. Decis. Mak. Tian-Hui You, Ling-Ling Tao, Erik Cambria
2023	J	`jnl`	A Mixed Approach for Aggressive Political Discourse Analysis on Twitter. Cogn. Comput. Javier Torregrosa, Sergio D'Antonio-Maceiras, Guillermo Villar-Rodríguez, Amir Hussain, Erik Cambria, David Camacho
2023	B	`conf`	A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. IJCNN Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria
2023	J	`jnl`	A Review of Deep Learning for Video Captioning. CoRR Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli
2023	J	`jnl`	A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. CoRR Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
2023	J	`jnl`	A Survey on Semantic Processing Techniques. CoRR Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria
2023	J	`jnl`	A Wide Evaluation of ChatGPT on Affective Computing Tasks. CoRR Mostafa M. Amin, Rui Mao, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	A brief survey on recent advances in coreference resolution. Artif. Intell. Rev. Ruicheng Liu, Rui Mao, Anh Tuan Luu, Erik Cambria
2023	J	`jnl`	A semantics-aware approach for multilingual natural language inference. Lang. Resour. Evaluation Phuong Le-Hong, Erik Cambria
2023	J	`jnl`	A survey on XAI and natural language explanations. Inf. Process. Manag. Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani
2023	J	`jnl`	A survey on computational metaphor processing techniques: from identification, interpretation, generation to application. Artif. Intell. Rev. Mengshi Ge, Rui Mao, Erik Cambria
2023	J	`jnl`	A survey on deep reinforcement learning for audio-based applications. Artif. Intell. Rev. Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria
2023	J	`jnl`	A survey on syntactic processing techniques. Artif. Intell. Rev. Xulang Zhang, Rui Mao, Erik Cambria
2023	B	`conf`	ALLEGET Keynote Remarks: Emerging Topics in Sentiment Analysis. Intelligent Environments (Workshops) Erik Cambria
2023	Misc	`conf`	Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models. ICASSP Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria
2023	J	`jnl`	Adaptive Knowledge Distillation between Text and Speech Pre-trained Models. CoRR Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria
2023	J	`jnl`	Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. CoRR Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria
2023	J	`jnl`	AutoML-Emo: Automatic Knowledge Selection Using Congruent Effect for Emotion Identification in Conversations. IEEE Trans. Affect. Comput. Dazhi Jiang, Runguo Wei, Jintao Wen, Geng Tu, Erik Cambria
2023	—	`conf`	BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. ICDM (Workshops) Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria
2023	J	`jnl`	Can ChatGPT's Responses Boost Traditional Natural Language Processing? CoRR Mostafa M. Amin, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	Can ChatGPT's Responses Boost Traditional Natural Language Processing? IEEE Intell. Syst. Mostafa M. Amin, Erik Cambria, Björn W. Schuller
2023	A*	`conf`	Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. ICDM Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria
2023	J	`jnl`	Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health. CoRR Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria, Jörg Tiedemann
2023	J	`jnl`	Dynamic interactive multiview memory network for emotion recognition in conversation. Inf. Fusion Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria
2023	J	`jnl`	ECPEC: Emotion-Cause Pair Extraction in Conversations. IEEE Trans. Affect. Comput. Wei Li, Yang Li, Vlad Pandelea, Mengshi Ge, Luyao Zhu, Erik Cambria
2023	J	`jnl`	EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition. CoRR Amirhossein Aminimehr, Amirali Molaei, Erik Cambria
2023	A	`conf`	End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion. EACL Zonglin Yang, Xinya Du, Erik Cambria, Claire Cardie
2023	J	`jnl`	Enhancing Arabic-text feature extraction utilizing label-semantic augmentation in few/zero-shot learning. Expert Syst. J. Knowl. Eng. Seham Basabain, Erik Cambria, Khalid Alomar, Amir Hussain
2023	J	`jnl`	Ensemble Hybrid Learning Methods for Automated Depression Detection. IEEE Trans. Comput. Soc. Syst. Luna Ansari, Shaoxiong Ji, Qian Chen, Erik Cambria
2023	J	`jnl`	Few pixels attacks with generative model. Pattern Recognit. Yang Li, Quan Pan, Zhaowen Feng, Erik Cambria
2023	—	`conf`	FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis. SSCI Kelvin Du, Frank Xing, Rui Mao, Erik Cambria
2023	—	`conf`	FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. ICDM (Workshops) Keane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo
2023	J	`jnl`	FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. CoRR Keane Ong, Wihan van der Heever, Ranjan Satapathy, Gianmarco Mengaldo, Erik Cambria
2023	—	`conf`	Finding the Pillars of Strength for Multi-Head Attention. ACL (1) Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
2023	J	`jnl`	Finding the Pillars of Strength for Multi-Head Attention. CoRR Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria
2023	J	`jnl`	Fusing topology contexts and logical rules in language models for knowledge graph completion. Inf. Fusion Qika Lin, Rui Mao, Jun Liu, Fangzhi Xu, Erik Cambria
2023	J	`jnl`	GPTEval: A Survey on Assessments of ChatGPT and GPT-4. CoRR Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria
2023	J	`jnl`	Gated recurrent unit with multilingual universal sentence encoder for Arabic aspect-based sentiment analysis. Knowl. Based Syst. Mohammad Al-Smadi, Mahmoud M. Hammad, Sa'ad A. Al-Zboon, Saja AL-Tawalbeh, Erik Cambria
2023	J	`jnl`	Guest Editorial Neurosymbolic AI for Sentiment Analysis. IEEE Trans. Affect. Comput. Frank Xing, Björn W. Schuller, Iti Chaturvedi, Erik Cambria, Amir Hussain
2023	—	`conf`	How Can Natural Language Processing and Generative AI Address Grand Challenges of Quantitative User Personas? HCI (53) Joni Salminen, Soon-Gyo Jung, Hind A. Al-Merekhi, Erik Cambria, Bernard J. Jansen
2023	—	`conf`	Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. ACL (1) Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
2023	J	`jnl`	Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. CoRR Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
2023	J	`jnl`	Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis. ACM Trans. Manag. Inf. Syst. Kelvin Du, Frank Xing, Erik Cambria
2023	J	`jnl`	KnowleNet: Knowledge fusion network for multimodal sarcasm detection. Inf. Fusion Tan Yue, Rui Mao, Heng Wang, Zonghai Hu, Erik Cambria
2023	—	`conf`	Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication. BICS Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
2023	J	`jnl`	Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. CoRR Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria
2023	J	`jnl`	Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment. Cogn. Comput. Zhaoxia Wang, Zhenda Hu, Fang Li, Seng-Beng Ho, Erik Cambria
2023	J	`jnl`	Logical Reasoning over Natural Language as Knowledge Representation: A Survey. CoRR Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria
2023	J	`jnl`	MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Inf. Fusion Jialun Wu, Kai He, Rui Mao, Chen Li, Erik Cambria
2023	A*	`conf`	MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning. ACM Multimedia Zheng Lian, Haiyang Sun, Licai Sun, Kang Chen, Mingyu Xu, Kexin Wang, Ke Xu, Yu He, Ying Li, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2023	J	`jnl`	MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning. CoRR Zheng Lian, Haiyang Sun, Licai Sun, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2023	A*	`conf`	MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing. ACM Multimedia Zheng Lian, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
2023	J	`jnl`	Marshall-Olkin power-law distributions in length-frequency of entities. Knowl. Based Syst. Xiaoshi Zhong, Xiang Yu, Erik Cambria, Jagath C. Rajapakse
2023	J	`jnl`	Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. Kai He, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2023	—	`conf`	MetaPro Online: A Computational Metaphor Processing Online System. ACL (demo) Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria
2023	J	`jnl`	MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysis. Neural Comput. Appl. Zhaoxia Wang, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan
2023	A*	`conf`	MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects. ACM Multimedia Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	Multi-source aggregated classification for stock price movement prediction. Inf. Fusion Yu Ma, Rui Mao, Qika Lin, Peng Wu, Erik Cambria
2023	J	`jnl`	Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions. Inf. Fusion Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain
2023	J	`jnl`	Multitask Balanced and Recalibrated Network for Medical Code Prediction. ACM Trans. Intell. Syst. Technol. Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
2023	J	`jnl`	Multitask learning for multilingual intent detection and slot filling in dialogue systems. Inf. Fusion Mauajama Firdaus, Asif Ekbal, Erik Cambria
2023	—	`conf`	Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. EMNLP (Findings) Xulang Zhang, Rui Mao, Kai He, Erik Cambria
2023	—	`conf`	Non-Fungible Tokens: What Makes Them Valuable? ICDM (Workshops) Zheng Leitter, Erik Cambria
2023	—	`conf`	PAED: Zero-Shot Persona Attribute Extraction in Dialogues. ACL (1) Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea, Erik Cambria
2023	—	`ed.`	Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation, MuSe 2023, Ottawa, ON, Canada, 2 November 2023 MuSe@ACM Multimedia Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	Recent Developments in Recommender Systems: A Survey. CoRR Yang Li, Kangbo Liu, Ranjan Satapathy, Suhang Wang, Erik Cambria
2023	J	`jnl`	Recent advances in deep learning based dialogue systems: a systematic survey. Artif. Intell. Rev. Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Erik Cambria
2023	J	`jnl`	Rethinking Large Language Models in Mental Health Applications. CoRR Shaoxiong Ji, Tianlin Zhang, Kailai Yang, Sophia Ananiadou, Erik Cambria
2023	A*	`conf`	SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition. AAAI Wei Li, Luyao Zhu, Rui Mao, Erik Cambria
2023	Misc	`conf`	Selecting Language Models Features VIA Software-Hardware Co-Design. ICASSP Vlad Pandelea, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
2023	J	`jnl`	Semantic matching in machine reading comprehension: An empirical study. Inf. Process. Manag. Qian Liu, Rui Mao, Xiubo Geng, Erik Cambria
2023	—	`conf`	Sentiment Analysis of Primary Historical Sources. ICDM (Workshops) Andrea Nanetti, John Pavlopoulos, Erik Cambria
2023	J	`jnl`	Seven Pillars for the Future of Artificial Intelligence. IEEE Intell. Syst. Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho
2023	J	`jnl`	Sparks of Large Audio Models: A Survey and Outlook. CoRR Siddique Latif, Moazzam Shoukat, Fahad Shamshad, Muhammad Usama, Yi Ren, Heriberto Cuayáhuitl, Wenwu Wang, Xulong Zhang, Roberto Togneri, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	Survey on sentiment analysis: evolution of research methods and topics. Artif. Intell. Rev. Jingfeng Cui, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
2023	—	`conf`	TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. ACL (1) Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria
2023	—	`conf`	Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing. EMNLP (Findings) Wei Li, Luyao Zhu, Wei Shao, Zonglin Yang, Erik Cambria
2023	J	`jnl`	TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction. CoRR Amirhossein Aminimehr, Pouya Khani, Amirali Molaei, Amirmohammad Kazemeini, Erik Cambria
2023	J	`jnl`	The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. IEEE Trans. Affect. Comput. Rui Mao, Qian Liu, Kai He, Wei Li, Erik Cambria
2023	—	`conf`	The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. MuSe@ACM Multimedia Lukas Christ, Shahin Amiriparian, Alice Baird, Alexander Kathan, Niklas Müller, Steffen Klug, Chris Gagne, Panagiotis Tzirakis, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. CoRR Lukas Christ, Shahin Amiriparian, Alice Baird, Alexander Kathan, Niklas Müller, Steffen Klug, Chris Gagne, Panagiotis Tzirakis, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	Time expression recognition and normalization: a survey. Artif. Intell. Rev. Xiaoshi Zhong, Erik Cambria
2023	J	`jnl`	Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Syst. Appl. Kai He, Yucheng Huang, Rui Mao, Tieliang Gong, Chen Li, Erik Cambria
2023	J	`jnl`	Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT. IEEE Intell. Syst. Mostafa M. Amin, Erik Cambria, Björn W. Schuller
2023	J	`jnl`	Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT. CoRR Mostafa M. Amin, Erik Cambria, Björn W. Schuller
2022	J	`jnl`	A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. IEEE Trans. Neural Networks Learn. Syst. Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
2022	J	`jnl`	A survey on personality-aware recommendation systems. Artif. Intell. Rev. Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria
2022	J	`jnl`	Arabic question answering system: a survey. Artif. Intell. Rev. Tahani H. Alwaneen, Aqil M. Azmi, Hatim A. Aboalsamh, Erik Cambria, Amir Hussain
2022	J	`jnl`	Arabic sentiment analysis using dependency-based rules and deep neural networks. Appl. Soft Comput. Arwa Diwali, Kia Dashtipour, Kawther Saeedi, Mandar Gogate, Erik Cambria, Amir Hussain
2022	J	`jnl`	Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks. Knowl. Based Syst. Bin Liang, Hang Su, Lin Gui, Erik Cambria, Ruifeng Xu
2022	J	`jnl`	BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis. Neurocomputing Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria
2022	A*	`conf`	ConNER: Consistency Training for Cross-lingual Named Entity Recognition. EMNLP Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022	J	`jnl`	ConNER: Consistency Training for Cross-lingual Named Entity Recognition. CoRR Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022	J	`jnl`	Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. IEEE Trans. Artif. Intell. Geng Tu, Jintao Wen, Cheng Liu, Dazhi Jiang, Erik Cambria
2022	J	`jnl`	Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
2022	J	`jnl`	Deep-Attack over the Deep Reinforcement Learning. CoRR Yang Li, Quan Pan, Erik Cambria
2022	J	`jnl`	Deep-attack over the deep reinforcement learning. Knowl. Based Syst. Yang Li, Quan Pan, Erik Cambria
2022	C	`conf`	Does Social Media Sentiment Predict Bitcoin Trading Volume? ICIS Jayit Saha, Smit Patel, Frank Xing, Erik Cambria
2022	J	`jnl`	Does semantics aid syntax? An empirical study on named entity recognition and classification. Neural Comput. Appl. Xiaoshi Zhong, Erik Cambria, Amir Hussain
2022	A*	`conf`	Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. AAAI Mengshi Ge, Rui Mao, Erik Cambria
2022	A*	`conf`	Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents. AAAI Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria
2022	J	`jnl`	Gaussian correction for adversarial learning of boundaries. Signal Process. Image Commun. Iti Chaturvedi, Qian Chen, Roy E. Welsch, Kishor Thapa, Erik Cambria
2022	J	`jnl`	Gender-based multi-aspect sentiment detection using multilabel learning. Inf. Sci. J. Ashok Kumar, Tina Esther Trueman, Erik Cambria
2022	J	`jnl`	Guest Editorial: A Decade of Sentic Computing. Cogn. Comput. Erik Cambria, Amir Hussain
2022	J	`jnl`	Guest Editorial: Explainable artificial intelligence for sentiment analysis. Knowl. Based Syst. Erik Cambria, Akshi Kumar, Mahmoud Al-Ayyoub, Newton Howard
2022	J	`jnl`	Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area. IEEE Trans. Artif. Intell. Erik Cambria, Frank Xing, Mike Thelwall, Roy E. Welsch
2022	A*	`conf`	HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning. AAAI Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria
2022	B	`conf`	Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. COLING Sooji Han, Rui Mao, Erik Cambria
2022	J	`jnl`	Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. CoRR Sooji Han, Rui Mao, Erik Cambria
2022	J	`jnl`	Improving Zero-Shot Learning Baselines with Commonsense Knowledge. Cogn. Comput. Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria
2022	J	`jnl`	Intelligent fake reviews detection based on aspect extraction and analysis using deep learning. Neural Comput. Appl. Gourav Bathla, Pardeep Singh, Rahul Kumar Singh, Erik Cambria, Rajeev Tiwari
2022	J	`jnl`	JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinform. Kai He, Rui Mao, Tieliang Gong, Erik Cambria, Chen Li
2022	J	`jnl`	Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication. CoRR Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
2022	J	`jnl`	Landmark calibration for facial expressions and fish classification. Signal Image Video Process. Iti Chaturvedi, Qian Chen, Erik Cambria, Desmond McConnell
2022	J	`jnl`	Language Models as Inductive Reasoners. CoRR Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2022	—	`conf`	MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022	—	`conf`	Making Sense of Sentiments for Aesthetic Plastic Surgery. ICDM (Workshops) Anand Choudhary, Erik Cambria
2022	B	`conf`	MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. LREC Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria
2022	J	`jnl`	MetaPro: A computational metaphor processing model for text pre-processing. Inf. Fusion Rui Mao, Xiao Li, Mengshi Ge, Erik Cambria
2022	J	`jnl`	Mood of the Planet: Challenging Visions of Big Data in the Arts. Cogn. Comput. Vibeke Sørensen, J. Stephen Lansing, Nagaraju Thummanapalli, Erik Cambria
2022	A*	`conf`	MuSe 2022 Challenge: Multimodal Humour, Emotional Reactions, and Stress. ACM Multimedia Shahin Amiriparian, Lukas Christ, Andreas König, Eva-Maria Meßner, Alan Cowen, Erik Cambria, Björn W. Schuller
2022	—	`ed.`	MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, Lisboa, Portugal, 10 October 2022 MuSe @ ACM Multimedia Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller
2022	J	`jnl`	Multitask learning for emotion and personality traits detection. Neurocomputing Yang Li, Amirmohammad Kazemeini, Yash Mehta, Erik Cambria
2022	J	`jnl`	OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. IEEE Intell. Syst. Mauro Dragoni, Ivan Donadello, Erik Cambria
2022	J	`jnl`	Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. CoRR Ranjan Satapathy, Shweta Pardeshi, Erik Cambria
2022	J	`jnl`	Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. Future Internet Ranjan Satapathy, Shweta Pardeshi, Erik Cambria
2022	J	`jnl`	Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts. CoRR Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory W. Mathewson, Björn W. Schuller, Erik Cambria, Dacher Keltner, Alan Cowen
2022	J	`jnl`	Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge. IEEE Trans. Circuits Syst. Video Technol. Ke Zhang, Yuanqing Li, Jingyu Wang, Erik Cambria, Xuelong Li
2022	B	`conf`	Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. IJCNN Cuc Duong, Qian Liu, Rui Mao, Erik Cambria
2022	—	`conf`	Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. ICDM (Workshops) Erik Cambria, Rui Mao, Sooji Han, Qian Liu
2022	B	`conf`	SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis. LREC Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok
2022	J	`jnl`	Soft computing for recommender systems and sentiment analysis. Appl. Soft Comput. Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria
2022	J	`jnl`	Soft labeling constraint for generalizing from sentiments in single domain. Knowl. Based Syst. Abhinaba Roy, Erik Cambria
2022	B	`conf`	Stress Detection from Social Media Articles: New Dataset Benchmark and Analytical Study. IJCNN Aryan Rastogi, Qian Liu, Erik Cambria
2022	—	`conf`	Stress Identification in Online Social Networks. ICDM (Workshops) Ashok Kumar J, Tina Esther Trueman, Erik Cambria
2022	J	`jnl`	Suicidal ideation and mental disorder detection with attentive relation networks. Neural Comput. Appl. Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria
2022	J	`jnl`	Ten Years of Sentic Computing. Cogn. Comput. Yosephine Susanto, Erik Cambria, Ng Bee Chin, Amir Hussain
2022	J	`jnl`	The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts. CoRR Alice Baird, Panagiotis Tzirakis, Gauthier Gidel, Marco Jiralerspong, Eilif B. Muller, Kory W. Mathewson, Björn W. Schuller, Erik Cambria, Dacher Keltner, Alan Cowen
2022	—	`conf`	The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. MuSe @ ACM Multimedia Lukas Christ, Shahin Amiriparian, Alice Baird, Panagiotis Tzirakis, Alexander Kathan, Niklas Müller, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller
2022	J	`jnl`	The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. CoRR Lukas Christ, Shahin Amiriparian, Alice Baird, Panagiotis Tzirakis, Alexander Kathan, Niklas Müller, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller
2022	J	`jnl`	Toward hardware-aware deep-learning-based dialogue systems. Neural Comput. Appl. Vlad Pandelea, Edoardo Ragusa, Tom Young, Paolo Gastaldo, Erik Cambria
2021	J	`jnl`	A Convolutional Stacked Bidirectional LSTM with a Multiplicative Attention Mechanism for Aspect Category and Sentiment Detection. Cogn. Comput. Ashok Kumar J, Tina Esther Trueman, Erik Cambria
2021	—	`conf`	A Multitask Learning Framework for Multimodal Sentiment Analysis. ICDM (Workshops) Dazhi Jiang, Runguo Wei, Hao Liu, Jintao Wen, Geng Tu, Lin Zheng, Erik Cambria
2021	J	`jnl`	A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis. CoRR Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain
2021	—	`conf`	A Prototype System for Monitoring Emotion and Sentiment Trends Towards Nuclear Energy on Twitter Using Deep Learning. ICADL Snehameena Arumugam, Likai Peng, Jin-Cheon Na, Guangze Lin, Roopika Ganesh, Xiaoyin Li, Qing Chen, Shirley S. Ho, Erik Cambria
2021	J	`jnl`	A Survey on Deep Reinforcement Learning for Audio-Based Applications. CoRR Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria
2021	J	`jnl`	A Survey on Personality-Aware Recommendation Systems. CoRR Sahraoui Dhelim, Nyothiri Aung, Mohammed Amine Bouras, Huansheng Ning, Erik Cambria
2021	J	`jnl`	A novel context-aware multimodal framework for persian sentiment analysis. Neurocomputing Kia Dashtipour, Mandar Gogate, Erik Cambria, Amir Hussain
2021	J	`jnl`	ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis. Future Gener. Comput. Syst. Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Erik Cambria, U. Rajendra Acharya
2021	J	`jnl`	Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis. IEEE Intell. Syst. Wei Peng, Xiaopeng Hong, Guoying Zhao, Erik Cambria
2021	J	`jnl`	BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. CoRR Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Erik Cambria
2021	J	`jnl`	Combining Sentiment Lexicons and Content-Based Features for Depression Detection. IEEE Intell. Syst. Raymond Chiong, Gregorious Satia Budhi, Sandeep Dhakal, Erik Cambria
2021	J	`jnl`	Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit. Neurocomputing Ashok Kumar J, S. Abiramy, Tina Esther Trueman, Erik Cambria
2021	—	`conf`	DUSE: A New Benchmark Dataset for Drug User Sentiment Extraction. ICDM (Workshops) Ashok Kumar J, Erik Cambria, Tina Esther Trueman
2021	J	`jnl`	Emotion Recognition on Edge Devices: Training and Deployment. Sensors Vlad Pandelea, Edoardo Ragusa, Tommaso Apicella, Paolo Gastaldo, Erik Cambria
2021	J	`jnl`	Fusing task-oriented and open-domain dialogues in conversational agents. CoRR Tom Young, Frank Z. Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria
2021	J	`jnl`	Graph Routing between Capsules. CoRR Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger
2021	J	`jnl`	Graph routing between capsules. Neural Networks Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger
2021	J	`jnl`	Guest Editorial: Industrial Internet of Things: Where Are We and What Is Next? IEEE Trans. Ind. Informatics Francesco Piccialli, Nik Bessis, Erik Cambria
2021	J	`jnl`	Information fusion for affective computing and sentiment analysis. Inf. Fusion Amir Hussain, Erik Cambria, Soujanya Poria, Ahmad Y. A. Hawalah, Francisco Herrera
2021	—	`conf`	Interpretable Representation Learning for Personality Detection. ICDM (Workshops) Amirmohammad Kazemeini, Sudipta Singha Roy, Robert E. Mercer, Erik Cambria
2021	J	`jnl`	Knowledge graph representation and reasoning. Neurocomputing Erik Cambria, Shaoxiong Ji, Shirui Pan, Philip S. Yu
2021	J	`jnl`	MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. CoRR Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2021	J	`jnl`	MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English. CoRR Ng Bee Chin, Yosephine Susanto, Erik Cambria
2021	J	`jnl`	MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. CoRR Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, Erik Cambria
2021	—	`ed.`	MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, Virtual Event, China, 24 October 2021 MuSe @ ACM Multimedia Björn W. Schuller, Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao
2021	A*	`conf`	MuSe 2021 Challenge: Multimodal Emotion, Sentiment, Physiological-Emotion, and Stress Detection. ACM Multimedia Lukas Stappen, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller
2021	—	`conf`	MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. MuSe @ ACM Multimedia Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller
2021	J	`jnl`	MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. CoRR Lukas Stappen, Lea Schumann, Benjamin Sertolli, Alice Baird, Benjamin Weigel, Erik Cambria, Björn W. Schuller
2021	J	`jnl`	Multi-task Balanced and Recalibrated Network for Medical Code Prediction. CoRR Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
2021	J	`jnl`	Multitask Learning for Emotion and Personality Detection. CoRR Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria
2021	—	`conf`	Multitask Recalibrated Aggregation Network for Medical Code Prediction. ECML/PKDD (4) Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
2021	J	`jnl`	Multitask Recalibrated Aggregation Network for Medical Code Prediction. CoRR Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen
2021	J	`jnl`	Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning. Inf. Fusion Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria
2021	J	`jnl`	Predicting video engagement using heterogeneous DeepWalk. Neurocomputing Iti Chaturvedi, Kishor Thapa, Sandro Cavallari, Erik Cambria, Roy E. Welsch
2021	J	`jnl`	Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. CoRR Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria
2021	J	`jnl`	Sentiment Analysis and Topic Recognition in Video Transcriptions. IEEE Intell. Syst. Lukas Stappen, Alice Baird, Erik Cambria, Björn W. Schuller
2021	J	`jnl`	Sequential fusion of facial appearance and dynamics for depression recognition. Pattern Recognit. Lett. Qian Chen, Iti Chaturvedi, Shaoxiong Ji, Erik Cambria
2021	J	`jnl`	Stock trading rule discovery with double deep Q-network. Appl. Soft Comput. Yong Shi, Wei Li, Luyao Zhu, Kun Guo, Erik Cambria
2021	J	`jnl`	Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. IEEE Trans. Comput. Soc. Syst. Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang
2021	J	`jnl`	Taylor's theorem: A new perspective for neural tensor networks. Knowl. Based Syst. Wei Li, Luyao Zhu, Erik Cambria
2021	—	`conf`	The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. MuSe @ ACM Multimedia Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Meßner, Erik Cambria, Guoying Zhao, Björn W. Schuller
2021	J	`jnl`	The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. CoRR Lukas Stappen, Alice Baird, Lukas Christ, Lea Schumann, Benjamin Sertolli, Eva-Maria Messner, Erik Cambria, Guoying Zhao, Björn W. Schuller
2021	J	`jnl`	This! Identifying New Sentiment Slang Through Orthographic Pleonasm Online: Yasss Slay Gorg Queen Ilysm. IEEE Intell. Syst. Mike Thelwall, Erik Cambria
2021	J	`jnl`	Toward Aspect-Level Sentiment Modification Without Parallel Data. IEEE Intell. Syst. Qingnan Jiang, Lei Chen, Wei Zhao, Min Yang, Erik Cambria
2021	—	`conf`	Transformer-Based Bidirectional Encoder Representations for Emotion Detection from Text. SSCI Ashok Kumar J, Erik Cambria, Tina Esther Trueman
2020	J	`jnl`	A Review of Shorthand Systems: From Brachygraphy to Microtext and Beyond. Cogn. Comput. Ranjan Satapathy, Erik Cambria, Andrea Nanetti, Amir Hussain
2020	J	`jnl`	A Survey on Knowledge Graphs: Representation, Acquisition and Applications. CoRR Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
2020	J	`jnl`	A review of emotion sensing: categorization models and algorithms. Multim. Tools Appl. Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
2020	J	`jnl`	A review of sentiment analysis research in Arabic language. CoRR Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli
2020	J	`jnl`	A review of sentiment analysis research in Arabic language. Future Gener. Comput. Syst. Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, Habib Ounelli
2020	J	`jnl`	A survey on empathetic dialogue systems. Inf. Fusion Yukun Ma, Khanh Linh Nguyen, Frank Z. Xing, Erik Cambria
2020	J	`jnl`	Anaphora and coreference resolution: A review. Inf. Fusion Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu
2020	J	`jnl`	Balancing computational complexity and generalization ability: A novel design for ELM. Neurocomputing Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2020	J	`jnl`	BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis. CoRR Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria
2020	A*	`conf`	Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features. ICDM Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl, Erik Cambria, Sauleh Eetemadi
2020	J	`jnl`	Bridging Cognitive Models and Recommender Systems. Cogn. Comput. Cecilio Angulo, Zoe Falomir, Davide Anguita, Núria Agell, Erik Cambria
2020	—	`conf`	COAL: Convolutional Online Adaptation Learning for Opinion Mining. ICDM (Workshops) Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Erik Cambria
2020	J	`jnl`	Commonsense Knowledge Enhanced Memory Network for Stance Classification. IEEE Intell. Syst. Jiachen Du, Lin Gui, Ruifeng Xu, Yunqing Xia, Xuan Wang, Erik Cambria
2020	J	`jnl`	Crowd Intelligence: Conducting Asymmetric Impact-Performance Analysis Based on Online Reviews. IEEE Intell. Syst. Jian-Wu Bi, Yang Liu, Zhi-Ping Fan, Erik Cambria
2020	B	`conf`	Deciphering Public Opinion of Nuclear Energy on Twitter. IJCNN Aparup Khatua, Erik Cambria, Shirley S. Ho, Jin-Cheon Na
2020	J	`jnl`	Deep Learning Based Text Classification: A Comprehensive Review. CoRR Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
2020	J	`jnl`	Dialogue systems with audio context. Neurocomputing Tom Young, Vlad Pandelea, Soujanya Poria, Erik Cambria
2020	—	`conf`	Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. ClinicalNLP@EMNLP Shaoxiong Ji, Erik Cambria, Pekka Marttinen
2020	J	`jnl`	Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. CoRR Shaoxiong Ji, Erik Cambria, Pekka Marttinen
2020	J	`jnl`	End-to-End latent-variable task-oriented dialogue system with exact log-likelihood optimization. World Wide Web Haotian Xu, Haiyun Peng, Haoran Xie, Erik Cambria, Liuyang Zhou, Weiguo Zheng
2020	J	`jnl`	Extracting Time Expressions and Named Entities with Constituent-Based Tagging Schemes. Cogn. Comput. Xiaoshi Zhong, Erik Cambria, Amir Hussain
2020	B	`conf`	Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. COLING Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria
2020	B	`conf`	Genetic Programming for Domain Adaptation in Product Reviews. CEC Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Roy E. Welsch
2020	J	`jnl`	How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]. IEEE Comput. Intell. Mag. Md. Shad Akhtar, Asif Ekbal, Erik Cambria
2020	J	`jnl`	Improving Zero Shot Learning Baselines with Commonsense Knowledge. CoRR Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria
2020	J	`jnl`	Intent Classification for Dialogue Utterances. IEEE Intell. Syst. Jetze Schuurmans, Flavius Frasincar, Erik Cambria
2020	—	`conf`	JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation. SemEval@COLING Ali Fadel, Mahmoud Al-Ayyoub, Erik Cambria
2020	J	`jnl`	MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop. CoRR Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris
2020	—	`conf`	MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild. MuSe @ ACM Multimedia Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris
2020	—	`ed.`	MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, Seattle, WA, USA, October 16, 2020 MuSe @ ACM Multimedia Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris, Lukas Stappen
2020	J	`jnl`	Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
2020	B	`conf`	New Avenues in Mobile Tourism. IJCNN Claudia Guerreiro, Erik Cambria, Hien T. Nguyen
2020	—	`conf`	One Belt, One Road, One Sentiment? A Hybrid Approach to Gauging Public Opinions on the New Silk Road Initiative. ICDM (Workshops) Jonathan Kevin Chandra, Erik Cambria, Andrea Nanetti
2020	J	`jnl`	Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles. CoRR Amirmohammad Kazameini, Samin Fatehi, Yash Mehta, Sauleh Eetemadi, Erik Cambria
2020	J	`jnl`	Popularity prediction on vacation rental websites. Neurocomputing Yang Li, Suhang Wang, Yukun Ma, Quan Pan, Erik Cambria
2020	J	`jnl`	Predicting political sentiments of voters from Twitter in multi-party contexts. Appl. Soft Comput. Aparup Khatua, Apalak Khatua, Erik Cambria
2020	J	`jnl`	Recent trends in deep learning based personality detection. Artif. Intell. Rev. Yash Mehta, Navonil Majumder, Alexander F. Gelbukh, Erik Cambria
2020	A	`conf`	SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. CIKM Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok
2020	J	`jnl`	Social Media Marketing and Financial Forecasting. Inf. Process. Manag. Frank Z. Xing, Soujanya Poria, Erik Cambria, Roy E. Welsch
2020	J	`jnl`	Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks. CoRR Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria
2020	A*	`conf`	Summary of MuSe 2020: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media. ACM Multimedia Lukas Stappen, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris
2020	J	`jnl`	The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools. CoRR David Camacho, Ángel Panizo-LLedot, Gema Bello Orgaz, Antonio González-Pardo, Erik Cambria
2020	J	`jnl`	The Hourglass Model Revisited. IEEE Intell. Syst. Yosephine Susanto, Andrew G. Livingstone, Ng Bee Chin, Erik Cambria
2020	J	`jnl`	The four dimensions of social network analysis: An overview of research methods, applications, and software tools. Inf. Fusion David Camacho, Ángel Panizo-LLedot, Gema Bello Orgaz, Antonio González-Pardo, Erik Cambria
2020	J	`jnl`	User reviews: Sentiment analysis using lexicon integrated two-channel CNN-LSTM family models. Appl. Soft Comput. Wei Li, Luyao Zhu, Yong Shi, Kun Guo, Erik Cambria
2020	J	`jnl`	What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera
2019	J	`jnl`	"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses. CoRR Mimansa Jaiswal, Sairam Tabibu, Erik Cambria
2019	B	`conf`	A Novel Non-Iterative Parameter Estimation Method for Interval Type-2 Fuzzy Neural Networks Based on a Dynamic Cost Function. FUZZ-IEEE Mojtaba Ahmadieh Khanesar, Saima Hassan, Erik Cambria, Erdal Kayacan
2019	J	`jnl`	A tale of two epidemics: Contextual Word2Vec for classifying twitter streams during outbreaks. Inf. Process. Manag. Aparup Khatua, Apalak Khatua, Erik Cambria
2019	B	`conf`	An Attention-Based Model for Learning Dynamic Interaction Networks. IJCNN Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai
2019	J	`jnl`	Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. CoRR Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann
2019	J	`jnl`	Business Taxonomy Construction Using Concept-Level Hierarchical Clustering. CoRR Haodong Bai, Frank Z. Xing, Erik Cambria, Win-Bin Huang
2019	B	`conf`	Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis. RO-MAN Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann
2019	J	`jnl`	Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis. CoRR Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann
2019	J	`jnl`	Cognitive-inspired domain adaptation of sentiment lexicons. Inf. Process. Manag. Frank Z. Xing, Filippo Pallucchini, Erik Cambria
2019	J	`jnl`	Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu
2019	A*	`conf`	DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. AAAI Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria
2019	J	`jnl`	Disentangled Variational Auto-Encoder for semi-supervised learning. Inf. Sci. Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria
2019	J	`jnl`	Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. IEEE Comput. Intell. Mag. Sandro Cavallari, Erik Cambria, Hongyun Cai, Kevin Chen-Chuan Chang, Vincent W. Zheng
2019	B	`conf`	Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction. IJCNN Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
2019	—	`conf`	Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis. CICLing (2) Haiyun Peng, Soujanya Poria, Yang Li, Erik Cambria
2019	J	`jnl`	Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognit. Lett. Iti Chaturvedi, Ranjan Satapathy, Sandro Cavallari, Erik Cambria
2019	J	`jnl`	Growing semantic vines for robust asset allocation. Knowl. Based Syst. Frank Z. Xing, Erik Cambria, Roy E. Welsch
2019	J	`jnl`	Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. Neurocomputing Ana Valdivia, Emiliya Hrabova, Iti Chaturvedi, María Victoria Luzón, Luigi Troiano, Erik Cambria, Francisco Herrera
2019	J	`jnl`	Learning From Personal Longitudinal Dialog Data. IEEE Intell. Syst. Charles Welch, Verónica Pérez-Rosas, Jonathan K. Kummerfeld, Rada Mihalcea, Erik Cambria
2019	J	`jnl`	Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowl. Based Syst. Yang Li, Suhang Wang, Quan Pan, Haiyun Peng, Tao Yang, Erik Cambria
2019	J	`jnl`	Learning short-text semantic similarity with word embeddings and external knowledge sources. Knowl. Based Syst. Hien T. Nguyen, Phuc H. Duong, Erik Cambria
2019	J	`jnl`	Learning with Similarity Functions: a Tensor-Based Framework. Cogn. Comput. Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2019	—	`conf`	MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. ACL (1) Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea
2019	—	`conf`	Microtext Normalization for Chatbots. CICLing (1) Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann
2019	J	`jnl`	Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model. Int. J. Prod. Res. Jian-Wu Bi, Yang Liu, Zhi-Ping Fan, Erik Cambria
2019	—	`conf`	PerSent 2.0: Persian Sentiment Lexicon Enriched with Domain-Specific Words. BICS Kia Dashtipour, Ali Raza, Alexander F. Gelbukh, Rui Zhang, Erik Cambria, Amir Hussain
2019	—	`conf`	PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis. CSoNet Ranjan Satapathy, Aalind Singh, Erik Cambria
2019	J	`jnl`	PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis. CoRR Ranjan Satapathy, Aalind Singh, Erik Cambria
2019	J	`jnl`	Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning. CoRR Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria
2019	—	`conf`	Predicting Future Market Trends: Which Is the Optimal Window? INNSBDDL Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria
2019	J	`jnl`	Recent Trends in Deep Learning Based Personality Detection. CoRR Yash Mehta, Navonil Majumder, Alexander F. Gelbukh, Erik Cambria
2019	—	`conf`	Sentiment Analysis of Influential Messages for Political Election Forecasting. CICLing (2) Oumayma Oueslati, Moez Ben Haj Hmida, Habib Ounelli, Erik Cambria
2019	J	`jnl`	Sentiment and Sarcasm Classification With Multitask Learning. IEEE Intell. Syst. Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh
2019	J	`jnl`	Sentiment and Sarcasm Classification with Multitask Learning. CoRR Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh
2019	J	`jnl`	Sentiment-aware volatility forecasting. Knowl. Based Syst. Frank Z. Xing, Erik Cambria, Yue Zhang
2019	B	`conf`	Seq2Seq Deep Learning Models for Microtext Normalization. IJCNN Ranjan Satapathy, Yang Li, Sandro Cavallari, Erik Cambria
2019	J	`jnl`	Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications. CoRR Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang
2019	J	`jnl`	Supervised Learning for Fake News Detection. IEEE Intell. Syst. Julio C. S. Reis, André Correia, Fabricio Murai, Adriano Veloso, Fabrício Benevenuto, Erik Cambria
2019	J	`jnl`	Technical analysis and sentiment embeddings for market trend prediction. Expert Syst. Appl. Andrea Picasso Ratto, Simone Merello, Yukun Ma, Luca Oneto, Erik Cambria
2019	—	`conf`	Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. ACL (1) Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang
2019	J	`jnl`	Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications. CoRR Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang
2019	—	`conf`	Tweeting in Support of LGBT?: A Deep Learning Approach. COMAD/CODS Aparup Khatua, Erik Cambria, Kuntal Ghosh, Nabendu Chaki, Apalak Khatua
2019	J	`jnl`	Type Like a Man! Inferring Gender from Keystroke Dynamics in Live-Chats. IEEE Intell. Syst. Abeer A. N. Buker, Giorgio Roffo, Alessandro Vinciarelli, Erik Cambria
2019	—	`conf`	Understanding the Role of Social Media in Backpacker Tourism. ICDM Workshops Claudia Guerreiro, Erik Cambria, Hien T. Nguyen
2018	—	`conf`	A Deep Learning Approach for Multimodal Deception Detection. CICLing (1) Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria, Erik Cambria
2018	J	`jnl`	A Deep Learning Approach for Multimodal Deception Detection. CoRR Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria, Erik Cambria
2018	J	`jnl`	A Generative Model for category text generation. Inf. Sci. Yang Li, Quan Pan, Suhang Wang, Tao Yang, Erik Cambria
2018	J	`jnl`	A Supervised Learning for Assigning Categories to Medical Concepts and Contexts. Res. Comput. Sci. Anupam Mondal, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
2018	J	`jnl`	A survey of graph processing on graphics processing units. J. Supercomput. Ha Nguyen Tran, Erik Cambria
2018	J	`jnl`	Anaphora and Coreference Resolution: A Review. CoRR Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu
2018	—	`conf`	Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. CICLing (2) Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann
2018	A*	`conf`	Augmenting End-to-End Dialogue Systems With Commonsense Knowledge. AAAI Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang
2018	—	`conf`	BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis. SSCI David Vilares, Haiyun Peng, Ranjan Satapathy, Erik Cambria
2018	J	`jnl`	Bayesian network based extreme learning machine for subjectivity detection. J. Frankl. Inst. Iti Chaturvedi, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2018	B	`conf`	CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. COLING Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea
2018	J	`jnl`	CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. CoRR Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea
2018	J	`jnl`	Concept-Based Embeddings for Natural Language Processing. CoRR Yukun Ma, Erik Cambria
2018	J	`jnl`	Consensus vote models for detecting and filtering neutrality in sentiment analysis. Inf. Fusion Ana Valdivia, María Victoria Luzón, Erik Cambria, Francisco Herrera
2018	—	`conf`	Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. NAACL-HLT Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann
2018	J	`jnl`	DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. CoRR Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria
2018	—	`conf`	Discovering Bayesian Market Views for Intelligent Asset Allocation. ECML/PKDD (3) Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis
2018	J	`jnl`	Discovering Bayesian Market Views for Intelligent Asset Allocation. CoRR Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis
2018	J	`jnl`	Discovering Power Laws in Entity Length. CoRR Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse
2018	J	`jnl`	Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. Inf. Fusion Iti Chaturvedi, Erik Cambria, Roy E. Welsch, Francisco Herrera
2018	J	`jnl`	Ensemble application of ELM and GPU for real-time multimodal sentiment analysis. Memetic Comput. Ha Nguyen Tran, Erik Cambria
2018	—	`conf`	Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction. SSCI Andrea Picasso Ratto, Simone Merello, Luca Oneto, Yukun Ma, Lorenzo Malandri, Erik Cambria
2018	J	`jnl`	GPU-based Commonsense Paradigms Reasoning for Real-Time Query Answering and Multimodal Analysis. CoRR Ha Nguyen Tran, Erik Cambria
2018	A*	`conf`	IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. EMNLP Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal
2018	A*	`conf`	ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. EMNLP Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann
2018	J	`jnl`	Intelligent Asset Allocation via Market Sentiment Views. IEEE Comput. Intell. Mag. Frank Z. Xing, Erik Cambria, Roy E. Welsch
2018	—	`conf`	Investigating Timing and Impact of News on the Stock Market. ICDM Workshops Simone Merello, Andrea Picasso Ratto, Yukun Ma, Luca Oneto, Erik Cambria
2018	—	`conf`	Learning Visual Concepts in Images Using Temporal Convolutional Networks. SSCI Qian Chen, Iti Chaturvedi, Soujanya Poria, Erik Cambria, Lorenzo Malandri
2018	J	`jnl`	Learning multi-grained aspect target sequence for Chinese sentiment analysis. Knowl. Based Syst. Haiyun Peng, Yukun Ma, Yang Li, Erik Cambria
2018	J	`jnl`	MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. CoRR Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea
2018	A*	`conf`	Memory Fusion Network for Multi-view Sequential Learning. AAAI Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2018	J	`jnl`	Memory Fusion Network for Multi-view Sequential Learning. CoRR Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2018	—	`conf`	Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. NAACL-HLT (2) Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann
2018	A*	`conf`	Multi-attention Recurrent Network for Human Communication Comprehension. AAAI Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency
2018	J	`jnl`	Multi-attention Recurrent Network for Human Communication Comprehension. CoRR Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency
2018	—	`conf`	Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph. ACL (1) Amir Zadeh, Paul Pu Liang, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2018	J	`jnl`	Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling. CoRR Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria
2018	J	`jnl`	Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines. IEEE Intell. Syst. Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander F. Gelbukh, Amir Hussain
2018	J	`jnl`	Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines. CoRR Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Amir Hussain, Alexander F. Gelbukh
2018	J	`jnl`	Multimodal sentiment analysis using hierarchical fusion with context modeling. Knowl. Based Syst. Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria
2018	J	`jnl`	Named Entity Analysis and Extraction with Uncommon Words. CoRR Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse
2018	J	`jnl`	Natural language based financial forecasting: a survey. Artif. Intell. Rev. Frank Z. Xing, Erik Cambria, Roy E. Welsch
2018	J	`jnl`	OntoSenticNet: A Commonsense Ontology for Sentiment Analysis. IEEE Intell. Syst. Mauro Dragoni, Soujanya Poria, Erik Cambria
2018	—	`ed.`	Proceedings of 4th Workshop on Sentic Computing, Sentiment Analysis, Opinion Mining, and Emotion Detection (EMSASW 2018) Co-located with the 15th Extended Semantic Web Conference 2018 (ESWC 2018), Heraklion, Greece, June 4, 2018. EMSASW@ESWC Diego Reforgiato Recupero, Mauro Dragoni, Davide Buscaldi, Mehwish Alam, Erik Cambria
2018	J	`jnl`	Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management. Cogn. Comput. Lorenzo Malandri, Frank Z. Xing, Carlotta Orsenigo, Carlo Vercellis, Erik Cambria
2018	J	`jnl`	Recent Trends in Deep Learning Based Natural Language Processing [Review Article]. IEEE Comput. Intell. Mag. Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria
2018	J	`jnl`	Relation Extraction of Medical Concepts Using Categorization and Sentiment Analysis. Cogn. Comput. Anupam Mondal, Erik Cambria, Dipankar Das, Amir Hussain, Sivaji Bandyopadhyay
2018	—	`conf`	Semantic Sentiment Analysis Challenge at ESWC2018. SemWebEval@ESWC Mauro Dragoni, Erik Cambria
2018	—	`conf`	Semantically Enhanced Models for Commonsense Knowledge Acquisition. ICDM Workshops Ikhlas Alhussien, Erik Cambria, Zhang NengSheng
2018	J	`jnl`	Semantically Enhanced Models for Commonsense Knowledge Acquisition. CoRR Ikhlas Alhussien, Erik Cambria, Zhang NengSheng
2018	J	`jnl`	Semi-supervised learning for big social data analysis. Neurocomputing Amir Hussain, Erik Cambria
2018	J	`jnl`	Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis. Cogn. Comput. Yukun Ma, Haiyun Peng, Tahir Khan, Erik Cambria, Amir Hussain
2018	A*	`conf`	SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. AAAI Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok
2018	—	`ch.`	Sentiment Analysis, Basic Tasks of. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Iti Chaturvedi, Soujanya Poria, Erik Cambria
2018	—	`conf`	Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English. SSCI Danyuan Ho, Diyana Hamzah, Soujanya Poria, Erik Cambria
2018	B	`conf`	Sounds of Silence Breakers: Exploring Sexual Violence on Twitter. ASONAM Aparup Khatua, Erik Cambria, Apalak Khatua
2018	A*	`conf`	Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. AAAI Yukun Ma, Haiyun Peng, Erik Cambria
2018	—	`conf`	Text-Image Sentiment Analysis. CICLing (2) Qian Chen, Edoardo Ragusa, Iti Chaturvedi, Erik Cambria, Rodolfo Zunino
2018	A*	`conf`	Time Expression Recognition Using a Constituent-based Tagging Scheme. WWW Xiaoshi Zhong, Erik Cambria
2018	C	`conf`	WME 3.0: An Enhanced and Validated Lexicon of Medical Concepts. GWC Anupam Mondal, Dipankar Das, Erik Cambria, Sivaji Bandyopadhyay
2017	Misc	`conf`	"Hang In There: " Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses. FLAIRS Mimansa Jaiswal, Sairam Tabibu, Erik Cambria
2017	J	`jnl`	A Review of Sentiment Analysis Research in Chinese Language. Cogn. Comput. Haiyun Peng, Erik Cambria, Amir Hussain
2017	J	`jnl`	A review of affective computing: From unimodal analysis to multimodal fusion. Inf. Fusion Soujanya Poria, Erik Cambria, Rajiv Bajpai, Amir Hussain
2017	—	`conf`	ASR Hypothesis Reranking Using Prior-Informed Restricted Boltzmann Machine. CICLing (1) Yukun Ma, Erik Cambria, Benjamin Bigot
2017	B	`conf`	Adaptive two-stage feature selection for sentiment classification. SMC Chi Xu, Puay Siew Tan, Erik Cambria
2017	J	`jnl`	Affective Reasoning for Big Social Data Analysis. IEEE Trans. Affect. Comput. Erik Cambria, Amir Hussain, Alessandro Vinciarelli
2017	—	`conf`	Auto-categorization of medical concepts and contexts. SSCI Anupam Mondal, Erik Cambria, Antonio Feraco, Dipankar Das, Sivaji Bandyopadhyay
2017	J	`jnl`	Basic tasks of sentiment analysis. CoRR Iti Chaturvedi, Soujanya Poria, Erik Cambria
2017	—	`conf`	Benchmarking Multimodal Sentiment Analysis. CICLing (2) Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam
2017	J	`jnl`	Benchmarking Multimodal Sentiment Analysis. CoRR Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam
2017	—	`conf`	CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language. CICLing (2) Haiyun Peng, Erik Cambria
2017	—	`conf`	Classifying World Englishes from a Lexical Perspective: A Corpus-Based Approach. CICLing (1) Frank Z. Xing, Danyuan Ho, Diyana Hamzah, Erik Cambria
2017	—	`conf`	Context-Dependent Sentiment Analysis in User-Generated Videos. ACL (1) Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency
2017	J	`jnl`	Deep Learning-Based Document Modeling for Personality Detection from Text. IEEE Intell. Syst. Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Erik Cambria
2017	J	`jnl`	Developing a concept-level knowledge base for sentiment analysis in Singlish. CoRR Rajiv Bajpai, Soujanya Poria, Danyuan Ho, Erik Cambria
2017	J	`jnl`	Disentangled Variational Auto-Encoder for Semi-supervised Learning. CoRR Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria
2017	—	`conf`	Efficient Semantic Search Over Structured Web Data: A GPU Approach. CICLing (2) Ha Nguyen Tran, Erik Cambria, Hoang Giang Do
2017	—	`conf`	Employing sentiment-based affinity and gravity scores to identify relations of medical concepts. SSCI Anupam Mondal, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
2017	B	`conf`	Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. IJCNN Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria
2017	J	`jnl`	Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, Erik Cambria
2017	A	`conf`	Learning Community Embedding with Community Detection and Node Embedding on Graphs. CIKM Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria
2017	J	`jnl`	Learning Word Representations for Sentiment Analysis. Cogn. Comput. Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, Erik Cambria
2017	Misc	`conf`	Learning Word Vectors in Deep Walk using Convolution. FLAIRS Iti Chaturvedi, Erik Cambria, Sandro Cavallari, Vincent Wenchen Zheng
2017	—	`conf`	Let's Chat about Brexit! A Politically-Sensitive Dialog System Based on Twitter Data. ICDM Workshops Aparup Khatua, Erik Cambria, Apalak Khatua, Iti Chaturvedi
2017	Misc	`conf`	MediConceptNet: An Affinity Score Based Medical Concept Network. FLAIRS Anupam Mondal, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
2017	A*	`conf`	Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. ICDM Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency
2017	J	`jnl`	Multilingual sentiment analysis: from formal to informal and scarce resource languages. Artif. Intell. Rev. Siaw Ling Lo, Erik Cambria, Raymond Chiong, David Cornforth
2017	—	`conf`	Open Secrets and Wrong Rights: Automatic Satire Detection in English Text. CSCW Companion Aishwarya N. Reganti, Tushar Maheshwari, Amitava Das, Erik Cambria
2017	—	`conf`	Phonetic-Based Microtext Normalization for Twitter Sentiment Analysis. ICDM Workshops Ranjan Satapathy, Claudia Guerreiro, Iti Chaturvedi, Erik Cambria
2017	B	`conf`	Predicting evolving chaotic time series with fuzzy neural networks. IJCNN Frank Z. Xing, Erik Cambria, Xiaomei Zou
2017	Misc	`conf`	Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level. FLAIRS Haiyun Peng, Erik Cambria, Xiaomei Zou
2017	J	`jnl`	Recent Trends in Deep Learning Based Natural Language Processing. CoRR Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria
2017	J	`jnl`	SLT-Based ELM for Big Social Data Analysis. Cogn. Comput. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2017	—	`conf`	Semantic Sentiment Analysis Challenge at ESWC2017. SemWebEval@ESWC Diego Reforgiato Recupero, Erik Cambria, Emanuele Di Rosa
2017	J	`jnl`	Semi-supervised Learning for Affective Common-Sense Reasoning. Cogn. Comput. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2017	J	`jnl`	Sentiment Analysis Is a Big Suitcase. IEEE Intell. Syst. Erik Cambria, Soujanya Poria, Alexander F. Gelbukh, Mike Thelwall
2017	J	`jnl`	Storages Are Not Forever. Cogn. Comput. Erik Cambria, Anupam Chattopadhyay, Eike Linn, Bappaditya Mandal, Bebo White
2017	J	`jnl`	Subjectivity Detection in Nuclear Energy Tweets. Computación y Sistemas Ranjan Satapathy, Iti Chaturvedi, Erik Cambria, Shirley S. Ho, Jin-Cheon Na
2017	A*	`conf`	Tensor Fusion Network for Multimodal Sentiment Analysis. EMNLP Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2017	J	`jnl`	Tensor Fusion Network for Multimodal Sentiment Analysis. CoRR Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
2017	—	`conf`	Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules. ACL (1) Xiaoshi Zhong, Aixin Sun, Erik Cambria
2017	Misc	`conf`	Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups. FLAIRS Ceyda Sanli, Anupam Mondal, Erik Cambria
2017	J	`jnl`	Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups. CoRR Ceyda Sanli, Anupam Mondal, Erik Cambria
2016	B	`conf`	A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. COLING Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij
2016	J	`jnl`	A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. CoRR Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij
2016	J	`jnl`	A concept-level approach to the analysis of online review helpfulness. Comput. Hum. Behav. Atika Qazi, Karim Bux Shah Syed, Ram Gopal Raj, Erik Cambria, Muhammad Tahir, Daniyal M. Al-Ghazzawi
2016	J	`jnl`	A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection. Knowl. Based Syst. Siaw Ling Lo, Erik Cambria, Raymond Chiong, David Cornforth
2016	J	`jnl`	Affective Computing and Sentiment Analysis. IEEE Intell. Syst. Erik Cambria
2016	J	`jnl`	Aspect extraction for opinion mining with a deep convolutional neural network. Knowl. Based Syst. Soujanya Poria, Erik Cambria, Alexander F. Gelbukh
2016	—	`conf`	Bayesian Deep Convolution Belief Networks for Subjectivity Detection. ICDM Workshops Iti Chaturvedi, Erik Cambria, Soujanya Poria, Rajiv Bajpai
2016	J	`jnl`	Computational Intelligence for Big Social Data Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. Erik Cambria, Newton Howard, Yunqing Xia, Tat-Seng Chua
2016	A*	`conf`	Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis. ICDM Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain
2016	—	`conf`	Developing a Concept-Level Knowledge Base for Sentiment Analysis in Singlish. CICLing (2) Rajiv Bajpai, Danyuan Ho, Erik Cambria
2016	J	`jnl`	Emotion and sentiment in social and expressive media: Introduction to the special issue. Inf. Process. Manag. Paolo Rosso, Cristina Bosco, Rossana Damiano, Viviana Patti, Erik Cambria
2016	J	`jnl`	Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cogn. Comput. Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander F. Gelbukh, Qiang Zhou
2016	J	`jnl`	From Node Embedding To Community Embedding. CoRR Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria
2016	J	`jnl`	Fusing audio, visual and textual clues for sentiment analysis from multimodal content. Neurocomputing Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain
2016	Misc	`conf`	GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition. FLAIRS Erik Cambria, Tam V. Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda
2016	J	`jnl`	GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition. CoRR Erik Cambria, Tam V. Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda
2016	—	`conf`	GpSense: A GPU-Friendly Method for Commonsense Subgraph Matching in Massively Parallel Architectures. CICLing (1) Ha Nguyen Tran, Erik Cambria
2016	B	`conf`	Label Embedding for Zero-shot Fine-grained Named Entity Typing. COLING Yukun Ma, Erik Cambria, Sa Gao
2016	J	`jnl`	Learning word dependencies in text by means of a deep recurrent belief network. Knowl. Based Syst. Iti Chaturvedi, Yew-Soon Ong, Ivor W. Tsang, Roy E. Welsch, Erik Cambria
2016	B	`conf`	Lyapunov filtering of objectivity for Spanish Sentiment Model. IJCNN Iti Chaturvedi, Erik Cambria, David Vilares
2016	J	`jnl`	Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cogn. Comput. Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander F. Gelbukh, Qiang Zhou
2016	J	`jnl`	New avenues in knowledge bases for natural language processing. Knowl. Based Syst. Erik Cambria, Björn W. Schuller, Yunqing Xia, Bebo White
2016	—	`conf`	PerSent: A Freely Available Persian Sentiment Lexicon. BICS Kia Dashtipour, Amir Hussain, Qiang Zhou, Alexander F. Gelbukh, Ahmad Y. A. Hawalah, Erik Cambria
2016	J	`jnl`	Polarity shift detection, elimination and ensemble: A three-stage model for document-level sentiment analysis. Inf. Process. Manag. Rui Xia, Feng Xu, Jianfei Yu, Yong Qi, Erik Cambria
2016	—	`ed.`	Proceedings of the 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2016) co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 10, 2016. SAAIP@IJCAI Sivaji Bandyopadhyay, Dipankar Das, Erik Cambria, Braja Gopal Patra
2016	B	`conf`	Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. IJCNN Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio
2016	B	`conf`	SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives. COLING Erik Cambria, Soujanya Poria, Rajiv Bajpai, Björn W. Schuller
2016	—	`ch.`	Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework. Sentiment Analysis and Ontology Engineering Federica Bisio, Claudia Meda, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2016	J	`jnl`	Statistical Learning Theory and ELM for Big Social Data Analysis. IEEE Comput. Intell. Mag. Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita
2016	J	`jnl`	Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching. Cogn. Comput. Ha Nguyen Tran, Erik Cambria, Amir Hussain
2016	J	`jnl`	Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cogn. Comput. Nir Ofek, Soujanya Poria, Lior Rokach, Erik Cambria, Amir Hussain, Asaf Shabtai
2016	C	`conf`	WME: Sense, Polarity and Affinity based Concept Resource for Medical Events. GWC Anupam Mondal, Dipankar Das, Erik Cambria, Sivaji Bandyopadhyay
2016	B	`conf`	Weakly supervised semantic segmentation with superpixel embedding. ICIP Frank Z. Xing, Erik Cambria, Win-Bin Huang, Yang Xu
2015	B	`conf`	A learning scheme based on similarity functions for affective common-sense reasoning. IJCNN Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria
2015	J	`jnl`	Acoustic template-matching for automatic emergency state detection: An ELM based algorithm. Neurocomputing Emanuele Principi, Stefano Squartini, Erik Cambria, Francesco Piazza
2015	A*	`conf`	AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. AAAI Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria
2015	J	`jnl`	An ELM-based model for affective analogical reasoning. Neurocomputing Erik Cambria, Paolo Gastaldo, Federica Bisio, Rodolfo Zunino
2015	J	`jnl`	AspNet: Aspect Extraction by Bootstrapping Generalization and Propagation Using an Aspect Network. Cogn. Comput. Yunqing Xia, Erik Cambria, Amir Hussain
2015	A*	`conf`	Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis. EMNLP Soujanya Poria, Erik Cambria, Alexander F. Gelbukh
2015	Misc	`conf`	Discriminative Bi-Term Topic Model for Headline-Based Social News Clustering. FLAIRS Yunqing Xia, Nan Tang, Amir Hussain, Erik Cambria
2015	J	`jnl`	Document Representation with Statistical Word Senses in Cross-Lingual Document Clustering. Int. J. Pattern Recognit. Artif. Intell. Guoyu Tang, Yunqing Xia, Erik Cambria, Peng Jin, Thomas Fang Zheng
2015	A*	`conf`	Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification (Extended Abstract). IJCAI Rui Xia, Chengqing Zong, Xuelei Hu, Erik Cambria
2015	Misc	`conf`	GECKA: Game Engine for Commonsense Knowledge Acquisition. FLAIRS Erik Cambria, Dheeraj Rajagopal, Kenneth Kwok, Jose Sepulveda
2015	—	`ed.`	Joint Proceedings of the 1th Workshop on Semantic Sentiment Analysis (SSA2014), and the Workshop on Social Media and Linked Data for Emergency Response (SMILE 2014) co-located with 11th European Semantic Web Conference (ESWC 2014), Crete, Greece, May 25th, 2014. SSA-SMILE@ESWC Aldo Gangemi, Harith Alani, Malvina Nissim, Erik Cambria, Diego Reforgiato Recupero, Vitaveska Lanfranchi, Tomi Kauppinen
2015	—	`conf`	Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning. CICLing (2) Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Chng Eng Siong
2015	—	`conf`	Muscle synergies for reliable classification of arm motions using myoelectric interface. EMBC Chris Wilson Antuvan, Federica Bisio, Erik Cambria, Lorenzo Masia
2015	J	`jnl`	New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]. IEEE Comput. Intell. Mag. Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu
2015	J	`jnl`	New Trends of Learning in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu
2015	—	`ed.`	Proceedings of the 2nd International Workshop on Emotion and Sentiment in Social and Expressive Media: Opportunities and Challenges for Emotion-aware Multiagent Systems co-located with 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), Istanbul, Turkey, May 5, 2015. ESSEM@AAMAS Cristina Bosco, Erik Cambria, Rossana Damiano, Viviana Patti, Paolo Rosso
2015	—	`ed.`	Proceedings of the third International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2015, Denver, Colorado, USA, June 5, 2015 SocialNLP@NAACL Shou-De Lin, Lun-Wei Ku, Cheng-Te Li, Erik Cambria
2015	—	`conf`	SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning. SemEval@NAACL-HLT Prerna Chikersal, Soujanya Poria, Erik Cambria
2015	Misc	`conf`	Semantic Outlier Detection for Affective Common-Sense Reasoning and Concept-Level Sentiment Analysis. FLAIRS Erik Cambria, Giuseppe Melfi
2015	J	`jnl`	Sentic Computing. Cogn. Comput. Erik Cambria, Amir Hussain
2015	J	`jnl`	Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns. IEEE Comput. Intell. Mag. Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Federica Bisio, Amir Hussain
2015	—	`conf`	The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. CICLing (2) Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi
2015	J	`jnl`	Towards an intelligent framework for multimodal affective data analysis. Neural Networks Soujanya Poria, Erik Cambria, Amir Hussain, Guang-Bin Huang
2015	J	`jnl`	Word Polarity Disambiguation Using Bayesian Model and Opinion-Level Features. Cogn. Comput. Yunqing Xia, Erik Cambria, Amir Hussain, Huan Zhao
2014	—	`conf`	A Localization Toolkit for Sentic Net. ICDM Workshops Yunqing Xia, Xiaoyu Li, Erik Cambria, Amir Hussain
2014	—	`conf`	A Rule-Based Approach to Aspect Extraction from Product Reviews. SocialNLP@COLING Soujanya Poria, Erik Cambria, Lun-Wei Ku, Chen Gui, Alexander F. Gelbukh
2014	J	`jnl`	Affective neural networks and cognitive learning systems for big data analysis. Neural Networks Amir Hussain, Erik Cambria, Björn W. Schuller, Newton Howard
2014	—	`conf`	Collective copyright: enabling the natural evolution of content creation in the web era. WWW (Companion Volume) Emanuele Lunadei, Christian Valdivia Torres, Erik Cambria
2014	Misc	`conf`	Common and Common-Sense Knowledge Integration for Concept-Level Sentiment Analysis. FLAIRS Erik Cambria, Newton Howard
2014	—	`conf`	Commonsense Knowledge as the Glue in a Hybrid Model of Computational Creativity. ICDM Workshops Andrés Gómez de Silva Garza, Erik Cambria, Rafael Pérez y Pérez
2014	J	`jnl`	Computational Intelligence for Natural Language Processing [Guest Editorial]. IEEE Comput. Intell. Mag. Erik Cambria, Bebo White, Tariq S. Durrani, Newton Howard
2014	—	`conf`	Concept-level sentiment analysis: a world wide web conference 2014 tutorial. WWW (Companion Volume) Erik Cambria
2014	—	`conf`	ESWC'14 Challenge on Concept-Level Sentiment Analysis. SemWebEval@ESWC Diego Reforgiato Recupero, Erik Cambria
2014	J	`jnl`	EmoSenticSpace: A novel framework for affective common-sense reasoning. Knowl. Based Syst. Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Amir Hussain, Guang-Bin Huang
2014	J	`jnl`	Guest Editorial: Big Social Data Analysis. Knowl. Based Syst. Erik Cambria, Haixun Wang, Bebo White
2014	J	`jnl`	Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]. IEEE Comput. Intell. Mag. Erik Cambria, Bebo White
2014	—	`ed.`	Proceedings of the Second Workshop on Natural Language Processing for Social Media, SocialNLP@COLING 2014, Dublin, Ireland, August 24, 2014 SocialNLP@COLING Shou-De Lin, Lun-Wei Ku, Erik Cambria, Tsung-Ting Kuo
2014	J	`jnl`	Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis. IEEE Intell. Syst. Erik Cambria, Yangqiu Song, Haixun Wang, Newton Howard
2014	—	`ed.`	Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers SemWebEval@ESWC Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo Di Iorio, Tommaso Di Noia, Christoph Lange, Diego Reforgiato Recupero, Anna Tordai
2014	—	`conf`	Sentic API: A Common and Common-Sense Knowledge API for Cognition-Driven Sentiment Analysis. #MSM Erik Cambria, Soujanya Poria, Alexander F. Gelbukh, Kenneth Kwok
2014	J	`jnl`	Sentic patterns: Dependency-based rules for concept-level sentiment analysis. Knowl. Based Syst. Soujanya Poria, Erik Cambria, Grégoire Winterstein, Guang-Bin Huang
2014	A*	`conf`	SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis. AAAI Erik Cambria, Daniel Olsher, Dheeraj Rajagopal
2014	—	`conf`	Using Word Sense as a Latent Variable in LDA Can Improve Topic Modeling. ICAART (1) Yunqing Xia, Guoyu Tang, Huan Zhao, Erik Cambria, Thomas Fang Zheng
2013	—	`conf`	A graph-based approach to commonsense concept extraction and semantic similarity detection. WWW (Companion Volume) Dheeraj Rajagopal, Erik Cambria, Daniel Olsher, Kenneth Kwok
2013	—	`conf`	An Introduction to Concept-Level Sentiment Analysis. MICAI (2) Erik Cambria
2013	J	`jnl`	Circular-ELM for the reduced-reference assessment of perceived image quality. Neurocomputing Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino, Erik Cambria, Judith Redi
2013	—	`conf`	Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard
2013	J	`jnl`	Common Sense Knowledge for Handwritten Chinese Text Recognition. Cogn. Comput. Qiu-Feng Wang, Erik Cambria, Cheng-Lin Liu, Amir Hussain
2013	—	`conf`	Commonsense-based topic modeling. WISDOM Dheeraj Rajagopal, Daniel Olsher, Erik Cambria, Kenneth Kwok
2013	B	`conf`	Data intensive review mining for sentiment classification across heterogeneous domains. ASONAM Federica Bisio, Paolo Gastaldo, Chiara Peretti, Rodolfo Zunino, Erik Cambria
2013	—	`conf`	Enhancing Sentiment Classification Performance Using Bi-Tagged Phrases. ICDM Workshops Basant Agarwal, Namita Mittal, Erik Cambria
2013	—	`conf`	Erratum: Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard
2013	J	`jnl`	Extreme Learning Machines. IEEE Intell. Syst. Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu
2013	J	`jnl`	Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification. IEEE Intell. Syst. Rui Xia, Chengqing Zong, Xuelei Hu, Erik Cambria
2013	C	`conf`	Inducing Word Senses for Cross-lingual Document Clustering. CIS Guoyu Tang, Yunqing Xia, Erik Cambria, Peng Jin
2013	J	`jnl`	Intention awareness: improving upon situation awareness in human-centric environments. Hum. centric Comput. Inf. Sci. Newton Howard, Erik Cambria
2013	J	`jnl`	Knowledge-Based Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi
2013	J	`jnl`	New Avenues in Opinion Mining and Sentiment Analysis. IEEE Intell. Syst. Erik Cambria, Björn W. Schuller, Yunqing Xia, Catherine Havasi
2013	—	`ed.`	Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AIIA 2013), Turin, Italy, December 3, 2013. ESSEM@AIIA Cristina Battaglino, Cristina Bosco, Erik Cambria, Rossana Damiano, Viviana Patti, Paolo Rosso
2013	—	`ed.`	Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013, Chicago, IL, USA, August 11, 2013 WISDOM Erik Cambria, Bing Liu, Yongzheng Zhang, Yunqing Xia
2013	—	`ch.`	Sentic Computing for Social Media Analysis, Representation, and Retrieval. Social Media Retrieval Erik Cambria, Marco Grassi, Soujanya Poria, Amir Hussain
2013	—	`conf`	Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics. CIHLI Erik Cambria, Newton Howard, Jane Yung-jen Hsu, Amir Hussain
2013	J	`jnl`	Statistical Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi
2012	B	`conf`	Affective Common Sense Knowledge Acquisition for Sentiment Analysis. LREC Erik Cambria, Yunqing Xia, Amir Hussain
2012	—	`conf`	Clustering Social Networks Using Interaction Semantics and Sentics. ISNN (1) Praphul Chandra, Erik Cambria, Amir Hussain
2012	—	`conf`	Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering. ICDM Workshops Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay
2012	A*	`conf`	Sentic Activation: A Two-Level Affective Common Sense Reasoning Framework. AAAI Erik Cambria, Daniel Olsher, Kenneth Kwok
2012	J	`jnl`	Sentic Album: Content-, Concept-, and Context-Based Online Personal Photo Management System. Cogn. Comput. Erik Cambria, Amir Hussain
2012	J	`jnl`	Sentic Computing for social media marketing. Multim. Tools Appl. Erik Cambria, Marco Grassi, Amir Hussain, Catherine Havasi
2012	—	`conf`	Sentic Maxine: Multimodal Affective Fusion and Emotional Paths. ISNN (2) Isabelle Hupont, Erik Cambria, Eva Cerezo, Amir Hussain, Sandra Baldassarri
2012	—	`conf`	Sentic Neural Networks: A Novel Cognitive Model for Affective Common Sense Reasoning. BICS Thomas Mazzocco, Erik Cambria, Amir Hussain, Qiu-Feng Wang
2012	J	`jnl`	Sentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality. Expert Syst. Appl. Erik Cambria, Tim Benson, Chris Eckl, Amir Hussain
2012	B	`conf`	Sentic Panalogy: Swapping Affective Common Sense Reasoning Strategies and Foci. CogSci Erik Cambria, Daniel Olsher, Kenneth Kwok
2012	Misc	`conf`	SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis. FLAIRS Erik Cambria, Catherine Havasi, Amir Hussain
2012	—	`conf`	Towards IMACA: Intelligent Multimodal Affective Conversational Agent. ICONIP (1) Amir Hussain, Erik Cambria, Thomas Mazzocco, Marco Grassi, Qiu-Feng Wang, Tariq S. Durrani
2012	C	`conf`	Towards a Chinese Common and Common Sense Knowledge Base for Sentiment Analysis. IEA/AIE Erik Cambria, Amir Hussain, Tariq S. Durrani, Jiajun Zhang
2011	—	`—`	Application of common sense computing for the development of a novel knowledge-based opinion mining engine. Erik Cambria
2011	—	`conf`	Isanette: A Common and Common Sense Knowledge Base for Opinion Mining. ICDM Workshops Erik Cambria, Yangqiu Song, Haixun Wang, Amir Hussain
2011	—	`conf`	Semantic Models for Style-Based Text Clustering. ICSC Alessio Leoncini, Fabio Sangiacomo, Chiara Peretti, Sonia Argentesi, Rodolfo Zunino, Erik Cambria
2011	—	`conf`	Sentic Medoids: Organizing Affective Common Sense Knowledge in a Multi-Dimensional Vector Space. ISNN (3) Erik Cambria, Thomas Mazzocco, Amir Hussain, Chris Eckl
2011	J	`jnl`	Sentic Web: A New Paradigm for Managing Social Media Affective Information. Cogn. Comput. Marco Grassi, Erik Cambria, Amir Hussain, Francesco Piazza
2011	—	`conf`	The Hourglass of Emotions. COST 2102 Training School Erik Cambria, Andrew G. Livingstone, Amir Hussain
2010	—	`conf`	Sentic Avatar: Multimodal Affective Conversational Agent with Common Sense. COST 2102 Training School Erik Cambria, Isabelle Hupont, Amir Hussain, Eva Cerezo, Sandra Baldassarri
2010	—	`conf`	SenticNet: A Publicly Available Semantic Resource for Opinion Mining. AAAI Fall Symposium: Commonsense Knowledge Erik Cambria, Robyn Speer, Catherine Havasi, Amir Hussain
2010	—	`conf`	SenticSpace: Visualizing Opinions and Sentiments in a Multi-dimensional Vector Space. KES (4) Erik Cambria, Amir Hussain, Catherine Havasi, Chris Eckl
2010	—	`conf`	Switching Between Different Ways to Think - Multiple Approaches to Affective Common Sense Reasoning. COST 2102 Conference Erik Cambria, Thomas Mazzocco, Amir Hussain, Tariq S. Durrani
2009	—	`conf`	Common Sense Computing: From the Society of Mind to Digital Intuition and beyond. COST 2101/2102 Conference Erik Cambria, Amir Hussain, Catherine Havasi, Chris Eckl
2009	—	`conf`	Sentic Computing: Exploitation of Common Sense for the Development of Emotion-Sensitive Systems. COST 2102 Training School Erik Cambria, Amir Hussain, Catherine Havasi, Chris Eckl