Imran Razzak - RankMe

346 papers A* 17A 6B 29C 1Misc 7Journal 234Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Machine Learning Approach to Predict Biological Age and Its Longitudinal Drivers. BIOSTEC (2) Nazira Dunbayeva, Yulong Li, Yutong Xie, Imran Razzak
2026	J	`jnl`	Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation. IEEE J. Biomed. Health Informatics Muhammad Usman, Azka Rehman, Abdullah Shahid, Abd Ur Rehman, Sung-Min Gho, Aleum Lee, Tariq Mahmood Khan, Imran Razzak
2026	J	`jnl`	Attention-Driven Framework for Non-Rigid Medical Image Registration. CoRR Muhammad Zafar Iqbal, Ghazanfar Farooq Siddiqui, Anwar Ul Haq, Imran Razzak
2026	A*	`conf`	Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval. WWW Ruiyi Yang, Hao Xue, Imran Razzak, Flora D. Salim
2026	J	`jnl`	CALM: Culturally Self-Aware Language Models. CoRR Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
2026	J	`jnl`	CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation. CoRR Tong Wang, Yaolei Qi, Siwen Wang, Imran Razzak, Guanyu Yang, Yutong Xie
2026	—	`conf`	CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility. KDD (1) Yulong Li, Yuxuan Zhang, Feilong Tang, Ming Hu, Zhixiang Lu, Haochen Xue, Jianghao Wu, Rui Chen, Mian Zhou, Kang Dang, Chong Li, Yifang Wang, Imran Razzak, Jionglong Su
2026	J	`jnl`	ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models. CoRR Xiwei Liu, Yulong Li, Xinlin Zhuang, Xuhui Li, Jianxu Chen, Haolin Yang, Imran Razzak, Yutong Xie
2026	J	`jnl`	Cluster-SCP: Similarity and Contrastive Learning to Enhance Pseudo Labels for Fine Tuning under Few Labels. World Wide Web (WWW) Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2026	A*	`conf`	Data-Centric Sequential Recommendation with Relation-Augmented Generation. AAAI Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li
2026	A*	`conf`	DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning. AAAI Xiwei Liu, Yulong Li, Feilong Tang, Imran Razzak
2026	J	`jnl`	DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning. CoRR Xiwei Liu, Yulong Li, Feilong Tang, Imran Razzak
2026	J	`jnl`	DoAtlas-1: A Causal Compilation Paradigm for Clinical AI. CoRR Yulong Li, Jianxu Chen, Xiwei Liu, Chuanyue Suo, Rong Xia, Zhixiang Lu, Yichen Li, Xinlin Zhuang, Niranjana Arun Menon, Yutong Xie, Eran Segal, Imran Razzak
2026	A*	`conf`	FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning. AAAI Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang, Haochen Xue, Haozhao Wang, Imran Razzak
2026	J	`jnl`	LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs. CoRR Behzad Bozorgtabar, Dwarikanath Mahapatra, Sudipta Roy, Muzammal Naseer, Imran Razzak, Zongyuan Ge
2026	J	`jnl`	MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images. CoRR Ankan Deria, Komal Kumar, Adinath Madhavrao Dukre, Eran Segal, Salman Khan, Imran Razzak
2026	J	`jnl`	Mitigating Preference Leakage via Strict Estimator Separation for Normative Generative Ranking. CoRR Dalia Nahhas, Xiaohao Cai, Imran Razzak, Shoaib Jameel
2026	A*	`conf`	Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation. WWW Yulong Li, Zhixiang Lu, Peixin Guo, Simin Lai, Yuxuan Zhang, Haochen Xue, Xiwei Liu, Yichen Li, Zhaodong Wu, Feilong Tang, Mian Zhou, Chong Li, Imran Razzak, Qingxia Li, Jionglong Su
2026	J	`jnl`	SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages. Internet Things Abd Ur Rehman, Azka Rehman, Muhammad Umar Farooq, Taehyun Lee, Tariq Mahmood Khan, Imran Razzak, Sung-Min Gho, Aleum Lee, Dong-Kyu Chae, Muhammad Usman
2026	A*	`conf`	SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia. WWW Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang
2026	J	`jnl`	SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia. CoRR Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang
2026	A*	`conf`	Towards Robust Heterogeneous Graph Explanations under Structural Perturbations. WWW Yifan Lu, Pengfei Jiao, Xuan Guo, Ziyun Zou, Yiwei Wang, Mengzhou Gao, Huaming Wu, Imran Razzak
2026	J	`jnl`	TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis. CoRR Atharva Rege, Adinath Madhavrao Dukre, Numan Balci, Dwarikanath Mahapatra, Imran Razzak
2026	J	`jnl`	Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation. IEEE J. Biomed. Health Informatics Abdul Qayyum, Imran Razzak, Moona Mazher, Tariq Mahmood Khan, Weiping Ding, Steven A. Niederer
2026	A*	`conf`	VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging. AAAI Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy, Imran Razzak, Mauricio Reyes
2026	J	`jnl`	VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs. CoRR Govinda Kolli, Adinath Madhavrao Dukre, Behzad Bozorgtabar, Dwarikanath Mahapatra, Imran Razzak
2025	J	`jnl`	A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings. IEEE Pervasive Comput. Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2025	A*	`conf`	A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making. EMNLP Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie
2025	J	`jnl`	A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making. CoRR Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Yanyuan Qiao, Imran Razzak, Yutong Xie
2025	J	`jnl`	A Machine Learning Approach to Predict Biological Age and its Longitudinal Drivers. CoRR Nazira Dunbayeva, Yulong Li, Yutong Xie, Imran Razzak
2025	J	`jnl`	A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He
2025	J	`jnl`	A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning. npj Digit. Medicine Zhen Yu, Ruiye Chen, Peng Gui, Wei Wang, Imran Razzak, Hamid Alinejad-Rokny, Xiaomin Zeng, Xianwen Shang, Lei Zhang, Xiaohong Yang, Honghua Yu, Wenyong Huang, Huimin Lu, Peter van Wijngaarden, Mingguang He, Zhuoting Zhu, Zongyuan Ge
2025	—	`conf`	AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report. ICCVW Andrei Dumitriu, Florin Miron, Florin Tatui, Radu Tudor Ionescu, Radu Timofte, Aakash Ralhan, Florin-Alexandru Vasluianu, Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song, Pu Luo, Yumei Li, Cong Xu, Jinming Chai, Kexin Zhang, Licheng Jiao, Lingling Li, Siqi Yu, Chao Zhang, Kehuan Song, Fang Liu, Puhua Chen, Xu Liu, Jin Hu, Jinyang Xu, Biao Liu
2025	J	`jnl`	AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report. CoRR Andrei Dumitriu, Florin Miron, Florin Tatui, Radu Tudor Ionescu, Radu Timofte, Aakash Ralhan, Florin-Alexandru Vasluianu, Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song, Pu Luo, Yumei Li, Cong Xu, Jinming Chai, Kexin Zhang, Licheng Jiao, Lingling Li, Siqi Yu, Chao Zhang, Kehuan Song, Fang Liu, Puhua Chen, Xu Liu, Jin Hu, Jinyang Xu, Biao Liu
2025	—	`conf`	Addressing the Challenges of Mental Health Conversations with Large Language Models. WWW (Companion Volume) Shuvam Shiwakoti, Siddhant Bikram Shah, Imran Razzak, Surendrabikram Thapa, Usman Naseem
2025	A	`conf`	BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling. WSDM Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2025	—	`conf`	BEAST: Leveraging Contrastive Learning and Unsupervised Sentence Embeddings for Improved Drug Abuse Detection. WWW (Companion Volume) Shuvam Shiwakoti, Siddhant Bikram Shah, Wei Wang, Surendrabikram Thapa, Imran Razzak, Usman Naseem
2025	—	`conf`	Brick-by-Brick: Cyber-Physical Building Data Classification Challenge. WWW (Companion Volume) Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Matthew Amos, Stephen D. White, Flora D. Salim
2025	—	`conf`	CBRCL: A CLIP-BERT with Retrieval-Guided Contrastive Learning Multimodal Approach for Crisis-Driven Hate Speech Detection. WWW (Companion Volume) Ilya Stepanov, Junaid Rashid, Jong Weon Lee, Salman Naseem, Imran Razzak
2025	J	`jnl`	CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection. CoRR Xinlin Zhuang, Yichen Li, Xiwei Liu, Haolin Yang, Yifan Lu, Ziyun Zou, Yulong Li, Huifa Li, Dongliang Chen, Qinglei Wang, Weiyang Liu, Ying Qian, Jiangming Shi, Imran Razzak
2025	—	`conf`	Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding. WWW (Companion Volume) Surendrabikram Thapa, Hariram Veeramani, Imran Razzak, Roy Ka-Wei Lee, Usman Naseem
2025	B	`conf`	Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations. AVSS Yuxuan Zhang, Yulong Li, Feilong Tang, Zichen Yu, Ming Hu, Zhixiang Lu, Haochen Xue, Zhaodong Wu, Kang Dang, Imran Razzak, Jionglong Su
2025	B	`conf`	DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-Ray Classification. IEEE Big Data Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky
2025	J	`jnl`	DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification. CoRR Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky
2025	J	`jnl`	Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning. CoRR Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025	J	`jnl`	Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning. CoRR Ankan Deria, Adinath Madhavrao Dukre, Feilong Tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak
2025	A*	`conf`	Effectiveness of Privacy-preserving Algorithms in LLMs: A Benchmark and Empirical Analysis. WWW Jinglin Sun, Basem Suleiman, Imdad Ullah, Imran Razzak
2025	J	`jnl`	Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities. CoRR Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2025	A	`conf`	EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. CIKM Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
2025	J	`jnl`	EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. CoRR Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel
2025	J	`jnl`	Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer. CoRR Shijing Chen, Shoaib Jameel, Mohamed Reda Bouadjenek, Feilong Tang, Usman Naseem, Basem Suleiman, Hakim Hacid, Flora D. Salim, Imran Razzak
2025	—	`conf`	Enhancing Large Language Models for Arabic Dialects Using Knowledge-Based Rethinking and Contrastive Learning. ASONAM (3) Abdulsalam obaid Alharbi, Shoaib Jameel, Basem Suleiman, Imran Razzak
2025	—	`conf`	Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects. COLING Workshops Abdulsalam obaid Alharbi, Abdullah Alsuhaibani, Abdulrahman Abdullah Alalawi, Usman Naseem, Shoaib Jameel, Salil S. Kanhere, Imran Razzak
2025	—	`conf`	Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection. WWW (Companion Volume) Abdulrahman Abdullah Alalawi, Abdullah Alsuhaibani, Usman Naseem, Basem Suleiman, Shoaib Jameel, Imran Razzak
2025	J	`jnl`	Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification. CoRR Niranjana Arun Menon, Yulong Li, Iqra Farooq, Sara Ahmed, Muhammad Awais, Imran Razzak
2025	J	`jnl`	Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages. CoRR Ali Almutairi, Abdullah Alsuhaibani, Shoaib Jameel, Usman Naseem, Gelareh Mohammadi, Imran Razzak
2025	J	`jnl`	Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation. CoRR Moin Safdar, Shahzaib Iqbal, Mehwish Mehmood, Mubeen Ghafoor, Tariq Mahmood Khan, Imran Razzak
2025	—	`conf`	From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation. EMNLP (Findings) Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Liting Huang, Imran Razzak, Preslav Nakov, Usman Naseem
2025	J	`jnl`	From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation. CoRR Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Liting Huang, Imran Razzak, Preslav Nakov, Usman Naseem
2025	A	`conf`	GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. WSDM Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel
2025	A*	`conf`	Genesis: A Large-Scale Benchmark for Multimodal Large Language Model in Emotional Causality Analysis. ACM Multimedia Yulong Li, Yuxuan Zhang, Rui Chen, Feilong Tang, Zhixiang Lu, Ming Hu, Jianghao Wu, Haochen Xue, Mian Zhou, Chong Li, Jionglong Su, Imran Razzak
2025	J	`jnl`	HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection. CoRR Guanming Chen, Lingzhi Shen, Xiaohao Cai, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	Hierarchical Sequence Iteration for Heterogeneous Question Answering. CoRR Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025	—	`conf`	How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction? BIBM Niranjana Arun Menon, Iqra Farooq, Yulong Li, Sara Ahmed, Yutong Xie, Muhammad Awais, Imran Razzak
2025	J	`jnl`	How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction? CoRR Niranjana Arun Menon, Iqra Farooq, Yulong Li, Sara Ahmed, Yutong Xie, Muhammad Awais, Imran Razzak
2025	J	`jnl`	Integrated Oculomics and Lipidomics Reveal Microvascular Metabolic Signatures Associated with Cardiovascular Health in a Healthy Cohort. CoRR Inamullah, Ernesto Elias Vidal Rosas, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented Generation Framework for Temporal Reasoning. CoRR Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025	—	`conf`	KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. WWW (Companion Volume) Yingqing Yuan, Linwei Tao, Haohui Lu, Matloob Khushi, Imran Razzak, Mark Dras, Jian Yang, Usman Naseem
2025	A	`conf`	LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. ICME Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. CoRR Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, Shoaib Jameel
2025	B	`conf`	Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. IJCNN Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. CoRR Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel
2025	B	`conf`	Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. COLING Shijing Chen, Mohamed Reda Bouadjenek, Usman Naseem, Basem Suleiman, Shoaib Jameel, Flora D. Salim, Hakim Hacid, Imran Razzak
2025	J	`jnl`	Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. CoRR Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak
2025	J	`jnl`	Long Context Modeling with Ranked Memory-Augmented Retrieval. CoRR Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak
2025	C	`conf`	MERCI: A Multimodal Dataset for Personalised and Emotionally-Aware Dialogues. CBMI Mohammed Althubyani, Zhijin Meng, Shengyuan Xie, Francisco Cruz, Imran Razzak, Mukesh Prasad, Eduardo B. Sandoval, A. Baki Kocaballi
2025	—	`conf`	MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. ACL (1) Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao
2025	J	`jnl`	MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. CoRR Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao
2025	—	`conf`	MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. MICCAI (2) Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su
2025	J	`jnl`	MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. CoRR Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Kang Dang, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Jionglong Su
2025	J	`jnl`	Multi-encoder self-adaptive hard attention network with maximum intensity projections for lung nodule segmentation. Comput. Biol. Medicine Muhammad Usman, Azka Rehman, Abd Ur Rehman, Abdullah Shahid, Tariq Mahmood Khan, Imran Razzak, Minyoung Chung, Yeong-Gil Shin
2025	J	`jnl`	Multi-modality guided cross-attention for visual question answering. Multim. Tools Appl. Muhammad Zeeshan Khan, Duc Thanh Nguyen, Thanh Thi Nguyen, Anuroop Gaddam, Imran Razzak
2025	J	`jnl`	Navigating loss manifolds via rigid body dynamics: A promising avenue for robustness and generalisation. CoRR Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Hakim Hacid, Imran Razzak, Sunil Aryal
2025	J	`jnl`	PAL: Probing Audio Encoders via LLMs - A Study of Information Transfer from Audio Encoders to LLMs. CoRR Tony Alex, Wish Suharitdamrong, Sara Atito, Armin Mustafa, Philip J. B. Jackson, Imran Razzak, Muhammad Awais
2025	—	`conf`	PERCY: Personal Emotional Robotic Conversational System. AI (2) Zhijin Meng, Mohammed Althubyani, Shengyuan Xie, Imran Razzak, Eduardo B. Sandoval, Mahdi Bamdad, Francisco Cruz
2025	J	`jnl`	PERCY: Personal Emotional Robotic Conversational System. CoRR Zhijin Meng, Mohammed Althubyani, Shengyuan Xie, Imran Razzak, Eduardo B. Sandoval, Mahdi Bamdad, Francisco Cruz
2025	—	`conf`	PG-SAM: A Fine-Grained Prior-Guided SAM Framework for Prompt-Free Medical Image Segmentation. BIBM Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Yingzhen Hu, Zelin Peng, Ming Hu, Jionglong Su, Zongyuan Ge, Imran Razzak
2025	J	`jnl`	PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation. CoRR Yiheng Zhong, Zihong Luo, Chengzhi Liu, Feilong Tang, Zelin Peng, Ming Hu, Yingzhen Hu, Jionglong Su, Zongyuan Ge, Imran Razzak
2025	J	`jnl`	PRISM: A Personality-Driven Multi-Agent Framework for Social Media Simulation. CoRR Zhixiang Lu, Xueyuan Deng, Yiran Liu, Yulong Li, Qiang Yan, Imran Razzak, Jionglong Su
2025	J	`jnl`	Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging. CoRR Huifa Li, Feilong Tang, Haochen Xue, Yulong Li, Xinlin Zhuang, Bin Zhang, Eran Segal, Imran Razzak
2025	J	`jnl`	PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery. Medical Image Anal. Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Stefanie Speidel, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano
2025	—	`conf`	PoliMeme: Exploring Offensive Meme Propagation in the Israel-Palestine Conflict. WWW (Companion Volume) Pratham Grover, Vijayrajsinh Gohil, Bhavya Goel, Hariram Veeramani, Siddhant Bikram Shah, Sandesh Rajendra Jain, Surendrabikram Thapa, Imran Razzak, Usman Naseem
2025	J	`jnl`	QuAnTS: Question Answering on Time Series. CoRR Felix Divo, Maurice Kraus, Anh Q. Nguyen, Hao Xue, Imran Razzak, Flora D. Salim, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	Retinal Lipidomics Associations as Candidate Biomarkers for Cardiovascular Health. CoRR Inamullah, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis. CoRR Yulong Li, Zhixiang Lu, Feilong Tang, Simin Lai, Ming Hu, Yuxuan Zhang, Haochen Xue, Zhaodong Wu, Imran Razzak, Qingxia Li, Jionglong Su
2025	A*	`conf`	RipGAN: A GAN-Based Rip Current Data Augmentation Method. ICRA Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song
2025	J	`jnl`	Robust Atypical Mitosis Classification with DenseNet121: Stain-Aware Augmentation and Hybrid Loss for Domain Generalization. CoRR Adinath Madhavrao Dukre, Ankan Deria, Yutong Xie, Imran Razzak
2025	—	`conf`	Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. MICCAI (8) Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak
2025	J	`jnl`	Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. CoRR Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak
2025	J	`jnl`	SAM-DCE: Addressing Token Uniformity and Semantic Over-Smoothing in Medical Segmentation. CoRR Yingzhen Hu, Yiheng Zhong, Ruobing Li, Yingxue Su, Jiabao An, Feilong Tang, Jionglong Su, Imran Razzak
2025	J	`jnl`	SAM-aware Test-time Adaptation for Universal Medical Image Segmentation. CoRR Jianghao Wu, Yicheng Wu, Yutong Xie, Wenjia Bai, You Zhang, Feilong Tang, Yulong Li, Yasmeen M. George, Imran Razzak
2025	J	`jnl`	SVLA: A Unified Speech-Vision-Language Assistant with Multimodal Reasoning and Speech Generation. CoRR Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Sunil Aryal
2025	J	`jnl`	ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos. CoRR Haolin Yang, Feilong Tang, Ming Hu, Yulong Li, Yexin Liu, Zelin Peng, Junjun He, Zongyuan Ge, Imran Razzak
2025	A*	`conf`	Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CVPR Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge
2025	J	`jnl`	Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CoRR Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zelin Peng, Zhiwei Yang, Jionglong Su, Minquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge
2025	J	`jnl`	SelfAI: Building a Self-Training AI System with LLM Agents. CoRR Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Xiaobing Yu, Yu Zhong, Shangqi Deng, Ufaq Khan, Jianghao Wu, Xiaofeng Liu, Imran Razzak, Xiaojun Chang, Yutong Xie
2025	J	`jnl`	StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding. CoRR Haolin Yang, Feilong Tang, Linxiao Zhao, Xiang An, Ming Hu, Huifa Li, Xinlin Zhuang, Boqian Wang, Yifan Lu, Xiaofeng Zhang, Abdalla Swikir, Junjun He, Zongyuan Ge, Imran Razzak
2025	J	`jnl`	TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. CoRR Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Yutong Xie, Imran Razzak
2025	—	`conf`	TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation. WWW (Companion Volume) Lei Wang, Md. Zakir Hossain, Syed M. S. Islam, Tom Gedeon, Sharifa Alghowinem, Isabella Yu, Serena Bono, Xuanying Zhu, Gennie Nguyen, Nur Al Hasan Haldar, Seyed Mohammad Jafar Jalali, Md. Abdur Razzaque, Imran Razzak, Md. Rafiqul Islam, Shahadat Uddin, Naeem Janjua, Aneesh Krishna, Manzur Ashraf
2025	B	`conf`	Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. SMC Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi
2025	J	`jnl`	Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning. CoRR Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Jonathan Kua, Imran Razzak, Dung Nguyen, Saeid Nahavandi
2025	B	`conf`	The Emergence of Deep Reinforcement Learning for Path Planning. SMC Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen
2025	J	`jnl`	The Emergence of Deep Reinforcement Learning for Path Planning. CoRR Thanh Thi Nguyen, Saeid Nahavandi, Imran Razzak, Dung Nguyen, Nhat Truong Pham, Quoc Viet Hung Nguyen
2025	J	`jnl`	The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics. CoRR Inamullah, Imran Razzak, Shoaib Jameel
2025	J	`jnl`	The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective. CoRR Tariq Mahmood Khan, Toufique Ahmed Soomro, Imran Razzak
2025	J	`jnl`	Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery. CoRR Ming Hu, Zhengdi Yu, Feilong Tang, Kaiwen Chen, Yulong Li, Imran Razzak, Junjun He, Tolga Birdal, Kaijing Zhou, Zongyuan Ge
2025	J	`jnl`	Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data. CoRR Xinlin Zhuang, Feilong Tang, Haolin Yang, Ming Hu, Huifa Li, Haochen Xue, Yichen Li, Junjun He, Zongyuan Ge, Ying Qian, Imran Razzak
2025	J	`jnl`	Towards Robust Visual Continual Learning with Multi-Prototype Supervision. CoRR Xiwei Liu, Yulong Li, Yichen Li, Xinlin Zhuang, Haolin Yang, Huifa Li, Imran Razzak
2025	B	`conf`	Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes. COLING Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Shoaib Jameel
2025	J	`jnl`	Visual question answering: from early developments to recent advances - a survey. CoRR Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal, Imran Razzak, Hakim Hacid
2025	J	`jnl`	scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering. CoRR Huifa Li, Jie Fu, Xinlin Zhuang, Haolin Yang, Xinpeng Ling, Tong Cheng, Haochen Xue, Imran Razzak, Zhili Chen
2024	J	`jnl`	3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. IEEE J. Biomed. Health Informatics Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee
2024	J	`jnl`	A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection Using Brain MRIs. IEEE Trans. Comput. Biol. Bioinform. Imran Razzak, Saeeda Naz, Hamid Alinejad-Rokny, Tu N. Nguyen, Fahmi Khalifa
2024	J	`jnl`	A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen D. White, Flora D. Salim
2024	J	`jnl`	A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features. IEEE J. Biomed. Health Informatics Izhar Ahmed Khan, Imran Razzak, Dechang Pi, Umar Zia, Shaharyar Kamal, Yasir Hussain
2024	Misc	`conf`	A Robust Algorithm for Contactless Fingerprint Enhancement and Matching. DICTA Mahrukh Siddiqui, Shahzaib Iqbal, Bandar Alhaqbani, Bandar AlShammari, Tariq Mahmood Khan, Imran Razzak
2024	J	`jnl`	A Robust Algorithm for Contactless Fingerprint Enhancement and Matching. CoRR Mahrukh Siddiqui, Shahzaib Iqbal, Bandar AlShammari, Bandar Alhaqbani, Tariq Mahmood Khan, Imran Razzak
2024	J	`jnl`	AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2024	J	`jnl`	Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging. CoRR Abdul Qayyum, Moona Mazher, Imran Razzak, Steven A. Niederer
2024	J	`jnl`	Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images. CoRR Syed Javed, Tariq Mahmood Khan, Abdul Qayyum, Arcot Sowmya, Imran Razzak
2024	—	`conf`	Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle. AI (2) Abdul Qayyum, Moona Mazher, Angela W. C. Lee, José Alonso Solís-Lemus, Imran Razzak, Steven A. Niederer
2024	J	`jnl`	Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle. CoRR Abdul Qayyum, Moona Mazher, Angela W. C. Lee, José Alonso Solís-Lemus, Imran Razzak, Steven A. Niederer
2024	—	`conf`	Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net. ISBI Anum Masood, Usman Naseem, Junaid Rashid, Imran Razzak
2024	J	`jnl`	BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. CoRR Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
2024	J	`jnl`	BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction. CoRR Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2024	J	`jnl`	Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings. CoRR Krishno Dey, Prerona Tarannum, Md. Arid Hasan, Imran Razzak, Usman Naseem
2024	—	`conf`	BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. ICDM (Workshops) Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024	J	`jnl`	BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. CoRR Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024	J	`jnl`	Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages. CoRR Abd Ur Rehman, Azka Rehman, Muhammad Usman, Abdullah Shahid, Sung-Min Gho, Aleum Lee, Tariq Mahmood Khan, Imran Razzak
2024	A*	`conf`	Building Timeseries Dataset: Empowering Large-Scale Building Analytics. NeurIPS Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
2024	—	`conf`	ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. ICDM (Workshops) Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex
2024	J	`jnl`	ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. CoRR Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex
2024	—	`conf`	CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. WISE (4) Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu
2024	A*	`conf`	Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. NeurIPS Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofen Wang, Tong Xie, Wenjie Zhang
2024	J	`jnl`	Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. CoRR Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Tong Xie, Wenjie Zhang
2024	—	`conf`	Contrastive Learning with Self-reconstruction for 3D Intracranial Aneurysm Detection. MCHM@MM Di Shao, Xiao Liu, Imran Razzak, Nilmini Wickramasinghe, Xuequan Lu
2024	A*	`conf`	DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. AAAI Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang
2024	J	`jnl`	DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. CoRR Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang
2024	—	`conf`	Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification. WISE (5) Surendrabikram Thapa, Kritesh Rauniyar, Hariram Veeramani, Aditya Shah, Imran Razzak, Usman Naseem
2024	J	`jnl`	Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study. CoRR Feilong Tang, Matt Trinh, Annita Duong, Angelica Ly, Fiona Stapleton, Zhe Chen, Zongyuan Ge, Imran Razzak
2024	J	`jnl`	Distributed Optimization of Graph Convolutional Network Using Subgraph Variance. IEEE Trans. Neural Networks Learn. Syst. Taige Zhao, Xiangyu Song, Man Li, Jianxin Li, Wei Luo, Imran Razzak
2024	J	`jnl`	Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings. CoRR Md. Arid Hasan, Prerona Tarannum, Krishno Dey, Imran Razzak, Usman Naseem
2024	J	`jnl`	Dynamic Hypersphere Embedding Scale Against Adversarial Attacks. IEEE Trans. Engineering Management Mohammed Hassanin, Nour Moustafa, Imran Razzak, M. Tanveer, David G. A. Ormrod, Jill Slay
2024	J	`jnl`	EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation. CoRR Shahzaib Iqbal, Hasnat Ahmed, Muhammad Sharif, Madiha Hena, Tariq Mahmood Khan, Imran Razzak
2024	—	`conf`	Efficient Deep Learning Models for Evaluating the Progression of Age-Related Macular Degeneration Through Optical Coherence Tomography. DIAMOND/MARIO@MICCAI Abdul Qayyum, Moona Mazher, Imran Razzak, Steven A. Niederer
2024	J	`jnl`	Exploring Capabilities of Time Series Foundation Models in Building Analytics. CoRR Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024	J	`jnl`	Exploring the impact of SEO-based ranking factors for voice queries through machine learning. Artif. Intell. Rev. Zafar Saeed, Fozia Aslam, Adnan Ghafoor, Muhammad Umair, Imran Razzak
2024	J	`jnl`	Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks. Inf. Fusion Izhar Ahmed Khan, Imran Razzak, Dechang Pi, Nasrullah Khan, Yasir Hussain, Bentian Li, Tanzeela Kousar
2024	B	`conf`	Federated Focal Modulated UNet for Cardiovascular Image Segmentation. IEEE Big Data Mohammad Asjad, Abdul Qayyum, Moona Mazher, Usman Naseem, Tariq Mahmood Khan, Steven A. Niederer, Imran Razzak
2024	J	`jnl`	GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. CoRR Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel
2024	J	`jnl`	GRA: Graph Representation Alignment for Semi-Supervised Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Kuan-Hung Huang, Yao-Bang Huang, Yong-Xiang Lin, Kai-Lung Hua, M. Tanveer, Xuequan Lu, Imran Razzak
2024	J	`jnl`	Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges. IEEE J. Biomed. Health Informatics Fahmi Khalifa, Imran Razzak, Mohammad Amjad Kamal, Ahmed Soliman
2024	J	`jnl`	Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP. IEEE Trans. Comput. Soc. Syst. Imran Razzak, Mohamed Reda Bouadjenek, Muhammad Aamir Cheema, Ibrahim A. Hameed, Guandong Xu, Amin Beheshti
2024	—	`conf`	Hate Speech Classification in Text-Embedded Images: Integrating Ontology, Contextual Semantics, and Vision-Language Representations. ASONAM (2) Surendrabikram Thapa, Surabhi Adhikari, Imran Razzak, Roy Ka-Wei Lee, Usman Naseem
2024	J	`jnl`	Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. IEEE J. Biomed. Health Informatics Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	J	`jnl`	How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach. CoRR Abdulrahman Althobaiti, Angel Ayala, JingYing Gao, Ali Almutairi, Mohammad Deghat, Imran Razzak, Francisco Cruz
2024	J	`jnl`	Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality. Inf. Fusion Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, Thanh Thi Nguyen, M. Tanveer, Arcot Sowmya
2024	A	`conf`	IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. WSDM Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	J	`jnl`	IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. CoRR Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	J	`jnl`	LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices. IEEE J. Biomed. Health Informatics Shahzaib Iqbal, Tariq Mahmood Khan, Syed Saud Naqvi, Asim Naveed, Muhammad Usman, Haroon Ahmed Khan, Imran Razzak
2024	B	`conf`	LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network For Multifeatures Segmentation. ICIP Tariq M. Khan, Shahzaib Iqbal, Syed Saud Naqvi, Imran Razzak, Erik Meijering
2024	J	`jnl`	LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation. CoRR Tariq Mahmood Khan, Shahzaib Iqbal, Syed Saud Naqvi, Imran Razzak, Erik Meijering
2024	J	`jnl`	LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation. CoRR Hamza Farooq, Zuhair Zafar, Ahsan Saadat, Tariq Mahmood Khan, Shahzaib Iqbal, Imran Razzak
2024	J	`jnl`	LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation. Artif. Intell. Medicine Hamza Farooq, Zuhair Zafar, Ahsan Saadat, Tariq Mahmood Khan, Shahzaib Iqbal, Imran Razzak
2024	B	`conf`	Latent fingerprint enhancement for accurate minutiae detection. KES Abdul Wahab, Tariq Mahmood Khan, Shahzaib Iqbal, Bandar AlShammari, Bandar Alhaqbani, Imran Razzak
2024	J	`jnl`	Latent fingerprint enhancement for accurate minutiae detection. CoRR Abdul Wahab, Tariq Mahmood Khan, Shahzaib Iqbal, Bandar AlShammari, Bandar Alhaqbani, Imran Razzak
2024	—	`conf`	MCHM '24: The 1st International Workshop on Multimedia Computing for Health and Medicine. MCHM@MM Xuequan Lu, Wenxi Yue, Imran Razzak, Kun Hu, Jinglei Lv, Sen Zhang, Junhui Hou, Zhiyong Wang, Jiebo Luo, Wei Xiang
2024	—	`conf`	MLT-Trans: Multi-level Token Transformer for Hierarchical Image Classification. PAKDD (3) Tanya Boone-Sifuentes, Asef Nazari, Mohamed Reda Bouadjenek, Imran Razzak
2024	J	`jnl`	Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging. CoRR Muhammad Usman, Azka Rehman, Abdullah Shahid, Abd Ur Rehman, Sung-Min Gho, Aleum Lee, Tariq Mahmood Khan, Imran Razzak
2024	J	`jnl`	NarrationDep: Narratives on Social Media For Automatic Depression Detection. CoRR Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2024	J	`jnl`	Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. Ann. Oper. Res. Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
2024	J	`jnl`	PCA: Progressive class-wise attention for skin lesions diagnosis. Eng. Appl. Artif. Intell. Asim Naveed, Syed Saud Naqvi, Tariq Mahmood Khan, Imran Razzak
2024	J	`jnl`	PERCY: A Multimodal Dataset and Conversational System for Personalized and Emotionally Aware Human-Robot Interaction. CoRR Mohammed Althubyani, Zhijin Meng, Shengyuan Xie, Cha Seung, Imran Razzak, Eduardo Benítez Sandoval, A. Baki Kocaballi, Mahdi Bamdad, Francisco Cruz Naranjo
2024	J	`jnl`	PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. CoRR Adrito Das, Danyal Z. Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guoyan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Plotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Alejandra Pérez, Santiago Rodríguez, Pablo Arbeláez, Danail Stoyanov, Hani J. Marcus, Sophia Bano
2024	J	`jnl`	Privacy-preserved learning from non-i.i.d data in fog-assisted IoT: A federated learning approach. Digit. Commun. Networks Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, Imran Razzak, Mohamed Abd Elfattah
2024	—	`ed.`	Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, MCHM 2024, Melbourne VIC, Australia, 28 October 2024 - 1 November 2024 MCHM@MM Xuequan Lu, Wenxi Yue, Imran Razzak, Kun Hu, Jinglei Lv, Sen Zhang, Junhui Hou, Zhiyong Wang, Jiebo Luo, Wei Xiang
2024	J	`jnl`	RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation. Cogn. Comput. Asim Naveed, Syed Saud Naqvi, Shahzaib Iqbal, Imran Razzak, Haroon Ahmed Khan, Tariq Mahmood Khan
2024	J	`jnl`	Region Guided Attention Network for Retinal Vessel Segmentation. CoRR Syed Javed, Tariq Mahmood Khan, Abdul Qayyum, Arcot Sowmya, Imran Razzak
2024	B	`conf`	SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework. IEEE Big Data Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu, Imran Razzak, Usman Naseem
2024	J	`jnl`	SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. CoRR Soumick Chatterjee, Hendrik Mattern, Marc Dörner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristóbal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger
2024	J	`jnl`	Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation. Inf. Fusion Moona Mazher, Imran Razzak, Abdul Qayyum, Muhammad Tanveer, Susann Beier, Tariq Mahmood Khan, Steven A. Niederer
2024	Misc	`conf`	ShadowNets: Efficient and Accurate Face Recognition for Resource-Constrained Devices. DICTA Inzela Mirza, Shahzaib Iqbal, Bandar Alhaqbani, Bandar AlShammari, Tariq Mahmood Khan, Imran Razzak
2024	J	`jnl`	SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset. CoRR Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal, Imran Razzak, Hakim Hacid
2024	J	`jnl`	Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. Abdul Qayyum, Imran Razzak, Muhammad Tanveer, Moona Mazher
2024	J	`jnl`	Strategies for evaluating visual analytics systems: A systematic review and new perspectives. Inf. Vis. Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu
2024	J	`jnl`	Support Matrix Machine via Joint ℓ IEEE Trans. Neural Networks Learn. Syst. Imran Razzak, Mohamed Reda Bouadjenek, Raghib M. Abu-Saris, Weiping Ding
2024	Misc	`conf`	TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation. DICTA Shahzaib Iqbal, Muhammad Zeeshan, Mehwish Mehmood, Tariq Mahmood Khan, Imran Razzak
2024	J	`jnl`	TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation. CoRR Shahzaib Iqbal, Muhammad Zeeshan, Mehwish Mehmood, Tariq Mahmood Khan, Imran Razzak
2024	B	`conf`	THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning. IEEE Big Data Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Shuvam Shiwakoti, Qi Zhang, Liang Hu, Imran Razzak, Usman Naseem
2024	J	`jnl`	The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
2024	Misc	`conf`	Unsupervised Nonlinear Deformable Registration Network for 4D CT Lung Imaging. DICTA Muhammad Zafar Iqbal, Anwaar Ulhaq, Imran Razzak
2024	J	`jnl`	Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework. Inf. Fusion Abdul Qayyum, Imran Razzak, Moona Mazher, Xuequan Lu, Steven A. Niederer
2024	—	`conf`	Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification. WWW (Companion Volume) Shijing Chen, Usman Naseem, Imran Razzak, Flora D. Salim
2024	J	`jnl`	Vulnerability Detection in Smart Contracts: A Comprehensive Survey. CoRR Christopher De Baets, Basem Suleiman, Armin Chitizadeh, Imran Razzak
2024	—	`conf`	Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. WISE (4) Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2024	J	`jnl`	Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. CoRR Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2023	J	`jnl`	3D shallow deep neural network for fast and precise segmentation of left atrium. Multim. Syst. Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Amin Beheshti
2023	J	`jnl`	A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny
2023	J	`jnl`	A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing. Neural Comput. Appl. Nidal Nasser, Qazi Emad-ul-Haq, Muhammad Imran, Asmaa Ali, Imran Razzak, AbdulAziz Al-Helali
2023	J	`jnl`	AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2023	J	`jnl`	ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information. World Wide Web (WWW) Sajjad Athar, Rabeeh Ayaz Abbasi, Zafar Saeed, Anwar Said, Imran Razzak, Flora D. Salim
2023	J	`jnl`	Adaptive and Priority-Based Resource Allocation for Efficient Resources Utilization in Mobile-Edge Computing. IEEE Internet Things J. Zubair Sharif, Low Tang Jung, Imran Razzak, Mamoun Alazab
2023	J	`jnl`	Assessment of physiological states from contactless face video: a sparse representation approach. Computing Abdul Qayyum, Moona Mazher, Aliyu Nuhu, Abdesslam Benzinou, Aamir Saeed Malik, Imran Razzak
2023	J	`jnl`	Automated methods for diagnosis of Parkinson's disease and predicting severity level. Neural Comput. Appl. Zainab Ayaz, Saeeda Naz, Naila Habib Khan, Imran Razzak, Muhammad Imran
2023	J	`jnl`	Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan
2023	J	`jnl`	DARWIN Series: Domain Specific Large Language Models for Natural Science. CoRR Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex
2023	J	`jnl`	DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing. IEEE Trans. Intell. Transp. Syst. Francesco Schiliro, Nour Moustafa, Imran Razzak, Amin Beheshti
2023	J	`jnl`	Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey. IEEE Trans. Comput. Soc. Syst. Khan Md. Hasib, Md. Rafiqul Islam, Shadman Sakib, Md. Ali Akbar, Imran Razzak, Mohammad Shafiul Alam
2023	J	`jnl`	Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation. CoRR Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering
2023	Misc	`conf`	Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation. DICTA Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering
2023	J	`jnl`	Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. IEEE J. Biomed. Health Informatics Abdul Rehman Javed, Imran Razzak, Guandong Xu
2023	J	`jnl`	Guest Editorial Open and Interpretable AI in Computational Pathology. IEEE J. Biomed. Health Informatics Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa
2023	J	`jnl`	High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. Abdul Qayyum, Imran Razzak, M. Tanveer, Moona Mazher, Bandar Alhaqbani
2023	J	`jnl`	Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction. Complex Intell. Syst. Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2023	Misc	`conf`	Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities. DICTA Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, Tariq Mahmood Khan, Arcot Sowmya
2023	J	`jnl`	Identifying Rising Stars via Supervised Machine Learning. IEEE Trans. Comput. Soc. Syst. Ali Daud, Naveed Islam, Xin Li, Imran Razzak, Malik Khizar Hayat
2023	J	`jnl`	Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems. IEEE Trans. Intell. Transp. Syst. Jia Hu, Kuljeet Kaur, Hui Lin, Xiaoding Wang, Mohammad Mehedi Hassan, Imran Razzak, Mohammad Hammoudeh
2023	J	`jnl`	IoT-Enabled Multimodal Biometric Recognition System in Secure Environment. IEEE Internet Things J. Saiyed Umer, Alamgir Sardar, Ranjeet Kumar Rout, Muhammad Tanveer, Imran Razzak
2023	B	`conf`	Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework. ICIP Oluwatunmise Akinniyi, Imran Razzak, Md Mahmudur Rahman, Harpal Sandhu, Ayman El-Baz, Fahmi Khalifa
2023	—	`conf`	Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images. ISBI Anum Masood, Usman Naseem, Imran Razzak
2023	J	`jnl`	Multi-objective flower pollination algorithm: a new technique for EEG signal denoising. Neural Comput. Appl. Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Xin-She Yang, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Seifedine Kadry, Imran Razzak
2023	J	`jnl`	Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions. Neural Comput. Appl. Abdul Qayyum, Mona Mazhar, Imran Razzak, Mohamed Reda Bouadjenek
2023	Misc	`conf`	Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium. DICTA Abdul Qayyum, Moona Mazher, Imran Razzak, Steven A. Niederer
2023	J	`jnl`	Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification. IEEE Trans. Comput. Soc. Syst. Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2023	J	`jnl`	Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions. CoRR Asim Naveed, Syed Saud Naqvi, Tariq Mahmood Khan, Imran Razzak
2023	J	`jnl`	Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net). IEEE ACM Trans. Comput. Biol. Bioinform. Muhammad Arsalan, Tariq Mahmood Khan, Syed Saud Naqvi, Mehmood Nawaz, Imran Razzak
2023	J	`jnl`	Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things. IEEE J. Biomed. Health Informatics Abdullah Lakhan, Mazin Abed Mohammed, Ahmed Noori Rashid, Seifedine Nimer Kadry, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Imran Razzak
2023	J	`jnl`	Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning. CoRR Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak
2023	J	`jnl`	Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning. Neural Networks Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak
2023	J	`jnl`	Review on chest pathogies detection systems using deep learning techniques. Artif. Intell. Rev. Arshia Rehman, Ahmad Khan, Gohar Fatima, Saeeda Naz, Imran Razzak
2023	J	`jnl`	Simple and robust depth-wise cascaded network for polyp segmentation. Eng. Appl. Artif. Intell. Tariq Mahmood Khan, Muhammad Arsalan, Imran Razzak, Erik Meijering
2023	J	`jnl`	Social responses to the COVID-19 pandemic. Behav. Inf. Technol. Wu He, Guandong Xu, Imran Razzak
2023	—	`conf`	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules. ICCS (2) Thanh Thi Nguyen, Minh Cuong Nguyen, Thien Huynh-The, Quoc-Viet Pham, Quoc Viet Hung Nguyen, Imran Razzak, Vijay Janapa Reddi
2023	J	`jnl`	The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
2023	J	`jnl`	Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT. IEEE Trans. Ind. Informatics Fazlullah Khan, Ryan Alturki, Md. Arafatur Rahman, Spyridon Mastorakis, Imran Razzak, Syed Tauhid Ullah Shah
2023	J	`jnl`	Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines. CoRR Farhan Ahmad Jafri, Mohammad Aman Siddiqui, Surendrabikram Thapa, Kritesh Rauniyar, Usman Naseem, Imran Razzak
2023	J	`jnl`	Usability of Privacy Controls in Top Health Websites. CoRR Ravin Gunawardena, Yuemeng Yin, Yi Huang, Rahat Masood, Suranga Seneviratne, Imran Razzak, Nguyen Tran, Aruna Seneviratne
2022	J	`jnl`	A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET. IEEE Trans. Intell. Transp. Syst. Mohiuddin Ahmed, Nour Moustafa, A. F. M. Suaib Akhter, Imran Razzak, Ehsanuzzaman Surid, Adnan Anwar, A. F. M. Shahen Shah, Ahmet Zengin
2022	J	`jnl`	A Convolutional Attention Network for Unifying General and Sequential Recommenders. Inf. Process. Manag. Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari, Imran Razzak, Mehmet A. Orgun, Mehdi Elahi
2022	J	`jnl`	A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications. IEEE Trans. Ind. Informatics Joseph Henry Anajemba, Celestine Iwendi, Imran Razzak, James Adu Ansere, Izuchukwu Michael Okpalaoguchi
2022	J	`jnl`	A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System. IEEE Trans. Intell. Transp. Syst. Zhili Zhou, Akshat Gaurav, Brij Bhooshan Gupta, Miltiadis D. Lytras, Imran Razzak
2022	A	`conf`	A Mask-based Output Layer for Multi-level Hierarchical Classification. CIKM Tanya Boone-Sifuentes, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Asef Nazari
2022	—	`conf`	A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. CASE@EMNLP Surendrabikram Thapa, Aditya Shah, Farhan Jafri, Usman Naseem, Imran Razzak
2022	—	`conf`	A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. ICANN (2) Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. CoRR Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics. IEEE Trans. Intell. Transp. Syst. Md. Arafatur Rahman, Md. Abdur Rahim, Md. Mustafizur Rahman, Nour Moustafa, Imran Razzak, Tanvir Ahmad, Mohammad N. Patwary
2022	J	`jnl`	Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey. CoRR Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Kevin Lee, Chetan Arora, Ali Hassani, Arkady B. Zaslavsky
2022	J	`jnl`	An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health. IEEE Trans. Green Commun. Netw. Md. Abdur Rahim, Md. Arafatur Rahman, Md. Mustafizur Rahman, Nafees Zaman, Nour Moustafa, Imran Razzak
2022	J	`jnl`	An intelligent and efficient network intrusion detection system using deep learning. Comput. Electr. Eng. Emad-ul-Haq Qazi, Muhammad Imran, Noman Haider, Muhammad Shoaib, Imran Razzak
2022	—	`conf`	Anatomical Landmarks Localization for 3D Foot Point Clouds. ICONIP (3) Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Imran Razzak, Gediminas Kostkevicius, Domantas Ozerenskis
2022	—	`conf`	Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation. STACOM@MICCAI Abdul Qayyum, Moona Mazher, Steven A. Niederer, Fabrice Mériaudeau, Imran Razzak
2022	J	`jnl`	Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning. IEEE J. Biomed. Health Informatics Muhammad Tanveer, Ashraf Haroon Rashid, M. A. Ganaie, Motahar Reza, Imran Razzak, Kai-Lung Hua
2022	J	`jnl`	Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems. IEEE J. Biomed. Health Informatics Mahmuda Akter, Nour Moustafa, Timothy M. Lynar, Imran Razzak
2022	J	`jnl`	Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu
2022	J	`jnl`	Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems. IEEE Trans. Intell. Transp. Syst. Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Imran Razzak, Karam M. Sallam, Osama M. Elkomy
2022	J	`jnl`	Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures. IEEE Trans. Ind. Informatics Imran Razzak, Guandong Xu, Muhammad Khurram Khan
2022	J	`jnl`	Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training. IEEE Access Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training. CoRR Pervaiz Iqbal Khan, Shoaib Ahmed Siddiqui, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2022	J	`jnl`	Improving healthcare outcomes using multimedia big data analytics. Neural Comput. Appl. Imran Razzak, Peter W. Eklund, Guandong Xu
2022	B	`conf`	Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment. MDM Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Ali Hassani, Imran Razzak, Kevin Lee, Chetan Arora, Arkady B. Zaslavsky
2022	J	`jnl`	Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities. Multim. Syst. Arshia Rehman, Saeeda Naz, Imran Razzak
2022	J	`jnl`	Lightweight Face Anti-Spoofing Network for Telehealth Applications. IEEE J. Biomed. Health Informatics Jiun-Da Lin, Hung-Hsiang Lin, Jilyan Bianca Dy, Jun-Cheng Chen, Mohammad Tanveer, Imran Razzak, Kai-Lung Hua
2022	J	`jnl`	Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data. Int. J. Intell. Syst. Imran Razzak, Saeeda Naz, Abida Ashraf, Fahmi Khalifa, Mohamed Reda Bouadjenek, Shahid Mumtaz
2022	J	`jnl`	NLP-SEA 2021 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes Sajid Anwar, Abdul Rauf, Muhammad Ramzan, Imran Razzak, Mehrdad Saadatmand
2022	J	`jnl`	One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data. Int. J. Intell. Syst. Imran Razzak, Nour Moustafa, Shahid Mumtaz, Guandong Xu
2022	J	`jnl`	Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks. ACM Trans. Multim. Comput. Commun. Appl. Sara Salim, Nour Moustafa, Benjamin P. Turnbull, Imran Razzak
2022	J	`jnl`	Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation. IEEE J. Biomed. Health Informatics Iman Beheshti, M. A. Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, Muhammad Tanveer
2022	J	`jnl`	Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children. Image Vis. Comput. Abdul Qayyum, Imran Razzak, Nour Moustafa, Moona Mazher
2022	J	`jnl`	Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management. IEEE Trans. Intell. Transp. Syst. Md. Arafatur Rahman, Marufa Yasmin Mukta, A. Taufiq Asyhari, Nour Moustafa, Mohammad N. Patwary, Abu Yousuf, Imran Razzak, Brij B. Gupta
2022	—	`conf`	Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision. CuRIOUS/KiPA/MELA@MICCAI Abdul Qayyum, Moona Mazher, Steven A. Niederer, Imran Razzak
2022	J	`jnl`	Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications. Sensors Rizwan Ali Naqvi, Muhammad Arsalan, Talha Qaiser, Tariq Mahmood Khan, Imran Razzak
2022	J	`jnl`	Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Imran Razzak, Saeeda Naz
2022	J	`jnl`	Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomed. Signal Process. Control. Tariq Mahmood Khan, Mohammad A. U. Khan, Naveed ur Rehman, Khuram Naveed, Imran Uddin Afridi, Syed Saud Naqvi, Imran Razzak
2022	J	`jnl`	XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks. Future Gener. Comput. Syst. Izhar Ahmed Khan, Nour Moustafa, Imran Razzak, Muhammad Tanveer, Dechang Pi, Yue Pan, Bakht Sher Ali
2022	J	`jnl`	You can try without visiting: a comprehensive survey on virtually try-on outfits. Multim. Tools Appl. Hajer Ghodhbani, Mohamed Neji, Imran Razzak, Adel M. Alimi
2021	J	`jnl`	A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models. ACM Trans. Asian Low Resour. Lang. Inf. Process. Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad
2021	J	`jnl`	A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment. Comput. Commun. Brij B. Gupta, Krishna Yadav, Imran Razzak, Konstantinos E. Psannis, Arcangelo Castiglione, Xiaojun Chang
2021	J	`jnl`	A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter. Multim. Tools Appl. Usman Naseem, Imran Razzak, Peter W. Eklund
2021	B	`conf`	An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium. IJCNN Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Riyad Alshammari
2021	J	`jnl`	An efficient secure data compression technique based on chaos and adaptive Huffman coding. Peer-to-Peer Netw. Appl. Muhammad Usama, Qutaibah M. Malluhi, Nordin Zakaria, Imran Razzak, Waheed Iqbal
2021	J	`jnl`	Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks. Ad Hoc Networks Deepak Kumar Sharma, Tarun Dhankhar, Gaurav Agrawal, Satish Kumar Singh, Deepak Gupta, Jamel Nebhen, Imran Razzak
2021	J	`jnl`	Applying deep neural networks for user intention identification. Soft Comput. Asad Masood Khattak, Anam Habib, Muhammad Zubair Asghar, Fazli Subhan, Imran Razzak, Ammara Habib
2021	B	`conf`	BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
2021	J	`jnl`	COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim
2021	J	`jnl`	Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data Imran Razzak, Roberto Perez-Franco, Peter W. Eklund
2021	J	`jnl`	Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data Imran Razzak, Roberto Perez-Franco, Peter W. Eklund
2021	J	`jnl`	Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management: Deadline for Manuscript Submission: February 26, 2022. Big Data Imran Razzak, Roberto Perez-Franco, Peter W. Eklund
2021	J	`jnl`	Cloud-connected flying edge computing for smart agriculture. Peer-to-Peer Netw. Appl. Mohammad Ammad Uddin, Muhammad Ayaz, Ali Mansour, El-Hadi M. Aggoune, Zubair Sharif, Imran Razzak
2021	B	`conf`	DAAB: Deep Authorship Attribution in Bengali. IJCNN Atish Kumar Dipongkor, Md. Saiful Islam, Humayun Kayesh, Md. Shafaeat Hossain, Adnan Anwar, Khandaker Abir Rahman, Imran Razzak
2021	J	`jnl`	Deep transfer learning for alzheimer neurological disorder detection. Multim. Tools Appl. Abida Ashraf, Saeeda Naz, Syed Hamad Shirazi, Imran Razzak, Mukesh Prasad
2021	J	`jnl`	DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. CoRR Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2021	A*	`conf`	DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu
2021	J	`jnl`	Distributed Optimization of Graph Convolutional Network using Subgraph Variance. CoRR Taige Zhao, Xiangyu Song, Jianxin Li, Wei Luo, Imran Razzak
2021	J	`jnl`	Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms. Pattern Recognit. Lett. Riaz Ahmad, Saeeda Naz, Imran Razzak
2021	—	`conf`	ExVis: Explainable Visual Decision Support System for Risk Management. BESC Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu
2021	J	`jnl`	Ground target finding mechanism for unmanned aerial vehicles to secure crop field data. Trans. Emerg. Telecommun. Technol. Mohammad Ammad Uddin, Muhammad Ayaz, Ali Mansour, El-Hadi M. Aggoune, Ahmad Hani El Fawal, Imran Razzak
2021	J	`jnl`	Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen
2021	J	`jnl`	Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease. Future Gener. Comput. Syst. Iqra Kamran, Saeeda Naz, Imran Razzak, Muhammad Imran
2021	J	`jnl`	Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision. IEEE Access Muhammad Zeeshan Khan, Muhammad Usman Ghani Khan, Tanzila Saba, Imran Razzak, Amjad Rehman, Saeed Ali Bahaj
2021	B	`conf`	Identifying DNS Exfiltration based on Lexical Attributes of Query Name. IJCNN Iram Jawad, Jawad Ahmed, Imran Razzak, Robin Doss
2021	J	`jnl`	Machine learning for 5G security: Architecture, recent advances, and challenges. Ad Hoc Networks Amir Afaq, Noman Haider, Muhammad Zeeshan Baig, Komal Saifullah Khan, Muhammad Imran, Imran Razzak
2021	J	`jnl`	Patch-CNN: Deep learning for logo detection and brand recognition. J. Intell. Fuzzy Syst. Waqas Yousaf, Arif Iqbal Umar, Syed Hamad Shirazi, Zakir Khan, Imran Razzak, Mubina Zaka
2021	B	`conf`	RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. IJCNN Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly
2021	B	`conf`	SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. IJCNN Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh
2021	J	`jnl`	The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges. Trans. Emerg. Telecommun. Technol. Shah Khalid Khan, Usman Naseem, Haris Siraj, Imran Razzak, Muhammad Imran
2021	B	`conf`	UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu
2021	J	`jnl`	Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction. CoRR Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models. CoRR Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad
2020	J	`jnl`	A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad
2020	J	`jnl`	BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. CoRR Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
2020	B	`conf`	Cooperative Evolution Multiclass Support Matrix Machines. IJCNN Imran Razzak
2020	B	`conf`	Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders. IJCNN Imran Razzak, Iqra Kamran, Saeeda Naz
2020	—	`conf`	Deep Residual Neural Network for Child's Spontaneous Facial Expressions Recognition. S+SSPR Abdul Qayyum, Imran Razzak
2020	B	`conf`	End-to-End Analysis for Text Detection and Recognition in Natural Scene Images. IJCNN Ahlam Alnefaie, Deepak Gupta, Monowar H. Bhuyan, Imran Razzak, Prashant Gupta, Mukesh Prasad
2020	—	`conf`	EveSense: What Can You Sense from Twitter? ECIR (2) Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak
2020	—	`conf`	Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals. ICONIP (3) Abdul Qayyum, Imran Razzak, Wajid Mumtaz
2020	—	`conf`	Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning. ICONIP (1) Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed
2020	J	`jnl`	Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection. Neural Networks Imran Razzak, Raghib M. Abu-Saris, Michael Blumenstein, Guandong Xu
2020	J	`jnl`	Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities. CoRR Arshia Rehman, Saeeda Naz, Imran Razzak
2020	—	`conf`	MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu
2020	B	`conf`	Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image. IJCNN Syeda Alleena Riaz, Saeeda Naz, Imran Razzak
2020	B	`conf`	One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection. IJCNN Imran Razzak, Tariq Mahmood Khan
2020	J	`jnl`	Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data. Future Gener. Comput. Syst. Imran Razzak, Khurram Zafar, Muhammad Imran, Guandong Xu
2020	—	`conf`	RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. ICONIP (5) Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly
2020	B	`conf`	Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network. IJCNN Imran Razzak, Ghosia Shoukat, Saeeda Naz, Tariq Mahmood Khan
2020	B	`conf`	Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. IJCNN Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial
2020	J	`jnl`	Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis. Future Gener. Comput. Syst. Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran
2020	B	`conf`	Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. IJCNN Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad
2019	J	`jnl`	Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. Aust. J. Intell. Inf. Process. Syst. Arshia Rehman, Saeeda Naz, Usman Naseem, Imran Razzak, Ibrahim A. Hameed
2019	J	`jnl`	Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter. Aust. J. Intell. Inf. Process. Syst. Usman Naseem, Imran Razzak, Ibrahim A. Hameed
2019	J	`jnl`	Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks. Expert Syst. Appl. Zafar Saeed, Rabeeh Ayaz Abbasi, Imran Razzak, Onaiza Maqbool, Abida Sadaf, Guandong Xu
2019	—	`conf`	Hybrid Words Representation for Airlines Sentiment Analysis. Australasian Conference on Artificial Intelligence Usman Naseem, Shah Khalid Khan, Imran Razzak, Ibrahim A. Hameed
2019	J	`jnl`	Nuclear Norm Minimization in Frequency Domain for Complex Noise. Aust. J. Intell. Inf. Process. Syst. Imran Razzak, Usman Naseem, Saeeda Naz, Ibrahim A. Hameed
2019	J	`jnl`	What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter. J. Grid Comput. Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu
2017	—	`ed.`	2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017 BESC Yves Demazeau, Jianbo Gao, Guandong Xu, Jaroslaw Kozlak, Klaus Müller, Imran Razzak, Hao Chen, Yanhui Gu
2017	—	`ed.`	Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV Trans. Large-Scale Data- and Knowledge-Centered Systems Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Sherif Sakr, Imran Razzak, Riyad Alshammari