| 2023 | 35th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2023, Atlanta, GA, USA, November 6-8, 2023 |
| 2023 | A Constraint Programming Model for Scheduling the Unloading of Trains in Ports. Guillaume Perez, Gaël Glorian, Wijnand Suijlen, Arnaud Lallouet |
| 2023 | A Deep Learning Speech Enhancement Architecture Optimised for Speech Recognition and Hearing Aids. Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings |
| 2023 | A Dual Relation Extractor for Object Detection. Yang Zhang, Hao Bai, Yuan Xu, Yanlin He, Qunxiong Zhu, Hao Sheng |
| 2023 | A Federated Learning Approach for Anomaly Detection in High Performance Computing. Emmen Farooq, Andrea Borghesi |
| 2023 | A Formal Introduction to Batch-Integrated Gradients for Temporal Explanations. Jamie Andrew Duell, Monika Seisenberger, Tianlong Zhong, Hsuan Fu, Xiuyi Fan |
| 2023 | A Framework for Paired-Sample Hypothesis Testing for High-Dimensional Data. Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis |
| 2023 | A Knowledge Representation Framework for Evolutionary Simulations with Cognitive Agents. Nausheen Saba Shahid, Dan O'Keeffe, Kostas Stathis |
| 2023 | A Legal News Summarisation Model Based on RoBERTa, T5 and Dilated Gated CNN. Weijian Qin, Xudong Luo |
| 2023 | A Location-Independent Flood Prediction Model for Bangladesh's Rivers. Md. Abid Hasan, Nirjhor Tahmidur Rouf, Md Sajid Hossain, Lamia Binta Latif, Anika Tasnim, Marcin Grzegorzek |
| 2023 | A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers. John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar |
| 2023 | A Novel Label Selection Algorithm Based on Principal Component Analysis and Sparse Approximation Solution for Multi-label Classification. Tao Peng, Yulin Xue, Jun Li, Jianhua Xu |
| 2023 | A Novel Metric for XAI Evaluation Incorporating Pixel Analysis and Distance Measurement. Jan Stodt, Christoph Reich, Nathan L. Clarke |
| 2023 | A Numeral and Affective Knowledge Enhanced Network for Aspect-based Financial Sentiment Analysis. Chuan Qin, Changrui Yu, Yuan Meng, Jun Chang |
| 2023 | A Spatio-temporal Adaptive Personalized Meta-recommender for Next Location. Jie Chen, Tong Liu, Yanmin Zhu, Ruiyuan Li, Xiaoqiang Li |
| 2023 | A Survey on Recent Advancements in Lightweight Generative Adversarial Networks, their Applications and Datasets. Michail S. Alexiou, J. Sukarno Mertoguno |
| 2023 | A Systematic Evaluation of Machine Learning Approaches for Petroleum Production Forecasting. Marcos V. L. Pivetta, Artur H. Simon, Matheus M. Costa, Mara Abel, Joel Luis Carbonera |
| 2023 | A Two-stage Approach for Tables Extraction in Invoices. Thomas Saout, Frédéric Lardeux, Frédéric Saubion |
| 2023 | A cross-attention and Siamese network based model for off-topic detection. Cong Fan, Shen Guo, Aishan Wumaier, Jiajun Liu |
| 2023 | A reinforcement learning-based weight fusion algorithm for house price prediction. Yige Zhang, Zongwen Fan, Jin Gou |
| 2023 | AI Algorithmic Bias: Understanding its Causes, Ethical and Social Implications. Lakshitha R. Jain, Vineetha Menon |
| 2023 | AI on the Road: A Comprehensive Analysis of Traffic Accidents and Autonomous Accident Detection System in Smart Cities. Victor Adewopo, Nelly Elsayed, Zag ElSayed, Murat Ozer, Victoria Wangia-Anderson, Ahmed Abdelgawad |
| 2023 | AOSR-Net: All-in-One Sandstorm Removal Network. Yazhong Si, Xulong Zhang, Fan Yang, Jianzong Wang, Ning Cheng, Jing Xiao |
| 2023 | AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder. Xingjian Diao, Ming Cheng, Shitong Cheng |
| 2023 | Abnormal Behavior Detection Method based on Spatio-temporal Dual-flow Network for Surveillance Videos. Xingquan Cai, Yijie Wu, Haoyu Zhang, Yao Liu, Haiyan Sun |
| 2023 | Adaptive Hybrid Vision Transformer for Small Datasets. Mingjun Yin, Zhiyong Chang, Yan Wang |
| 2023 | Aligning Speakers: Evaluating and Visualizing Text-based Speaker Diarization Using Efficient Multiple Sequence Alignment. Chen Gong, Peilin Wu, Jinho D. Choi |
| 2023 | An Evaluation of Table Detection Methods in Document Images. Michail S. Alexiou, Euripides G. M. Petrakis, Nikolaos G. Bourbakis |
| 2023 | An Interpretable LSTM Network for Solar Flare Prediction. Gautam Varma Datla, Haodi Jiang, Jason T. L. Wang |
| 2023 | An Unsupervised Vision-related Keywords Retrieval and Fusion Method for Visual Storytelling. Bing Li, Can Ma, Xiyan Gao, Guangheng Jia |
| 2023 | Attention Enhanced Network with Semantic Inspector for Medical Image Report Generation. Yihan Lin, Qian Tang, Hao Wang, Cheng Huang, Favour Ekong, Xiangxiang Wang, Xiao Feng, Yongbin Yu |
| 2023 | Authentic Dialogue Generation to Improve Youth's Awareness of Cybergrooming for Online Safety. Zhen Guo, Pei Wang, Lifu Huang, Jin-Hee Cho |
| 2023 | Behavior detection Algorithm of Caged White-feather broiler based on multi-scale detail feature fusion and object relation inference. Yuantian Xia, Hongcheng Xue, Shuhan Lu, Longhe Wang, Lin Li |
| 2023 | Binary Search-Based Methods for Solving Constraint Hierarchies over Finite Domains. Hiroshi Hosobe, Ken Satoh |
| 2023 | Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge. Dingcheng Yang, Zihao Xiao, Wenjian Yu |
| 2023 | CSTCN: A Novel Causal-Based Framework for Air Quality Medium- and Long-term Prediction. Ruihao Cao, Zhirou Ma, Liangyi Kang, Shuai Wang, Jie Liu |
| 2023 | ChatGPT: More Human-Like Than Computer-Like, but Not Necessarily in a Good Way. Amos Azaria |
| 2023 | Comparative Crime Analysis and Prediction Using Machine Learning Algorithms: Assessing the Tools and Addressing the Threats. Robinson Umeike |
| 2023 | Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling. Leonidas Akritidis, Athanasios Fevgas, Miltiadis Alamaniotis, Panayiotis Bozanis |
| 2023 | Connectable and Independent Junction Tree-Based Compilation Technique of Object-Oriented Bayesian Networks. A. M. Aahad, Khondker Bin Yamin, Md. Samiullah, Chowdhury Farhan Ahmed, Carson K. Leung, Evan W. R. Madill, Adam G. M. Pazdor |
| 2023 | Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval. Kaiyi Luo, Xulong Zhang, Jianzong Wang, Huaxiong Li, Ning Cheng, Jing Xiao |
| 2023 | Controllable Diffusion Models for Safety-Critical Driving Scenario Generation. Zipeng Guo, Yuezhao Yu, Chao Gou |
| 2023 | Cross-Architecture Relational Consistency for Point Cloud Self-Supervised Learning. Hongyu Li, Yifei Zhang, Dongbao Yang |
| 2023 | DBERT-ELVA: Discourse-Aware Extractive Text Summarization with Autoencoder. Mahsa Abazari Kia |
| 2023 | DGSNet: Dual Graph Structure Network for Emotion Recognition in Multimodal Conversations. Shimin Tang, Changjian Wang, Fengyu Tian, Kele Xu, Minpeng Xu |
| 2023 | DICE: Data Imputation for Cost Estimates from Multiple Sources to Model User Decision-Making. Hailun Wu, Ziqian Dong, Roberto Rojas-Cessa |
| 2023 | Deep Interaction Behavioral Feature Network for Click-Through Rate Prediction. Wenxi Zhang, Peilin Yang, Wenguang Zheng, Yingyuan Xiao |
| 2023 | Deep Reinforcement Learning Based Efficient and Robust Navigation Method For Autonomous Applications. Nathan Hemming, Vineetha Menon |
| 2023 | Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye |
| 2023 | Disjointness axioms between top-level ontology concepts as a heuristic for word similarity evaluation. Alcides Lopes, Joel Luis Carbonera, Mara Abel |
| 2023 | Distance-Aware eXplanation Based Learning. Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee |
| 2023 | Domain Adaptation in Machine Learning: A Practical Simulation Study. Ahmad Chaddad, Yihang Wu |
| 2023 | Dynamic All-Different and Maximal Cliques Constraints for Fixed Job Scheduling. Ruixin Wang, Nicolas Barnier |
| 2023 | Dynamic Job Shop Scheduling via Deep Reinforcement Learning. Xinjie Liang, Wen Song, Pengfei Wei |
| 2023 | ECIFF: Event Causality Identification based on Feature Fusion. Silong Ding, Yingchi Mao, Yong Cheng, Tianfu Pang, Lijuan Shen, Rongzhi Qi |
| 2023 | EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces. T. Warren de Wit, Vineetha Menon, Nathan L. Tenhundfeld, Thomas Davis |
| 2023 | Early Risk Prediction of Depression Based on Social Media Posts in Arabic. Kefaya Sabaneh, Momen Abu Salameh, Fatima Khaleel, Mohammad M. Herzallah, Joman Y. Natsheh, Mohammed Maree |
| 2023 | Efficient Constraint Learning For Stream Reasoning. Mourad Hassani, Amel Bouzeghoub |
| 2023 | Efficient HTN to STRIPS Encodings for Concurrent Planning. Nicolas Cavrel, Damien Pellier, Humbert Fiorino |
| 2023 | Enhancing Automatic Speech Recognition Quality with a Second-Stage Speech Enhancement Generative Adversarial Network. Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings |
| 2023 | Enhancing Change Detection in Spectral Images: Integration of UNet and ResNet Classifiers. Emna Brahim, Emna Amri, Walid Barhoumi |
| 2023 | Ensemble Learning for Mapper Parameter Optimization. Padraig Fitzpatrick, Anna Jurek-Loughrey, Pawel Dlotko, Jesús Martínez del Rincón |
| 2023 | FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework. Jianzong Wang, Xulong Zhang, Aolan Sun, Ning Cheng, Jing Xiao |
| 2023 | Few-shot Object Detection with Refined Contrastive Learning. Zeyu Shangguan, Lian Huai, Tong Liu, Xingqun Jiang |
| 2023 | Finding the appropriate harvest time of coffee fruits using convolutional neural networks. Anage C. Mundim Filho, Darlisson M. Santos, Cleyton B. Alvarenga, Gleice A. de Assis, Paula C. N. Rinaldi, Renan Zampiroli, Enrique Anastácio Alves, Murillo G. Carneiro |
| 2023 | Fine-tuning Strategies for Domain Specific Question Answering under Low Annotation Budget Constraints. Kunpeng Guo, Dennis Diefenbach, Antoine Gourru, Christophe Gravier |
| 2023 | GEDI: A Graph-based End-to-end Data Imputation Framework. Katrina Chen, Xiuqin Liang, Zheng Ma, Zhibin Zhang |
| 2023 | Generation of Rule-Based Expert Systems with Certainty Factors from Datasets. Konstantinos Kovas, Ioannis Hatzilygeroudis |
| 2023 | Global min-max Computation for α-Hölder Games. Aurélien Delage, Olivier Buffet, Jilles Steeve Dibangoye |
| 2023 | Graph Active Learning at Subgraph Granularity. Yunqi Cao, Ziming Wang, Haopeng Chen |
| 2023 | Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem. Pedro Foletto Pimenta, Pedro H. C. Avelar, Luís C. Lamb |
| 2023 | Graph based Hiding of Sensitive Knowledge. Panteleimon Krasadakis, Giuseppe Futia, Vassilios S. Verykios, Evangelos Sakkopoulos |
| 2023 | Grow, prune or select data: which technique allows the most energy-efficient neural network training? Anais Boumendil, Walid Bechkit, Pierre-Edouard Portier, Frédéric Le Mouël, Malcolm Egan |
| 2023 | Guided Hierarchical Reinforcement Learning for Safe Urban Driving. Mohamad Albilani, Amel Bouzeghoub |
| 2023 | HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning. Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu |
| 2023 | HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Drug-Target Binding Affinity Prediction. Hongyan Ye, Yingying Song, Binyu Wang, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang |
| 2023 | Hybrid CNN-LSTM and Domain Modeling in Climate-Energy Analysis for a Smart Environment. Sarahana Shrestha, Brian Buckley, Aparna S. Varde, Daniel Cwynar |
| 2023 | IArch: An AI Tool for Digging Deeper into Archaeological Data. Chahrazed Labba, Ameline Alcouffe, Eric Crubézy, Anne Boyer |
| 2023 | Identifying relevant descriptors for tweet sets. Olivier Gracianne, Anaïs Halftermeyer, Thi-Bich-Hanh Dao |
| 2023 | Image super resolution via multi-regularization combining hybrid Tikhonov-TV prior and deep denoiser prior. Jiahao Zhang, Shengrong Zhao, Hu Liang, Changchun Wen, Chen Liang |
| 2023 | Improving Online POMDP Planning Algorithms with Decaying Q Value. Qingya Wang, Feng Liu, Xuan Wang, Bin Luo |
| 2023 | Improving a multiobjective evolutionary algorithm applied to batch scheduling in pharmaceutical manufacturing. Debora Toshie Kohara, Gina Maira Barbosa de Oliveira, Luiz Gustavo Almeida Martins |
| 2023 | Integral AI-based planning for management of WSNs in military operations. J. Caballero Testón, Olaya Pérez-Mon, María D. R.-Moreno, Julio de Oliveira Filho |
| 2023 | Invertible Neural Networks for Trustworthy AI. Malgorzata Schwab, Ashis Kumer Biswas |
| 2023 | Investigating the Effectiveness of Whitening Post-processing Methods on Modifying LLMs Representations. Ziyuan Wang, You Wu |
| 2023 | LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang |
| 2023 | Learning Complicated Navigation Skills from Limited Experience via Augmenting Offline Datasets. Zhiqiang Wang, Yu'an Chen, Jianmin Ji |
| 2023 | Learning to identify and settle dilemmas through contextual user preferences. Rémy Chaput, Laëtitia Matignon, Mathieu Guillermin |
| 2023 | LocoMixer: A Local Context MLP-Like Architecture For Image Classification. Mingjun Yin, Zhiyong Chang, Yan Wang |
| 2023 | MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection. Zhongyi Yu, Debo Cheng, Wenzhen Zhang, Jing Chen, Shichao Zhang |
| 2023 | MedCT-BERT: Multimodal Mortality Prediction using Medical ConvTransformer-BERT Model. Ke Zhang, Ke Niu, Yuhang Zhou, Wenjuan Tai, Guoqiang Lu |
| 2023 | Model-based exploration strategy to accelerate deterministic strategy algorithm training. Xiaotong Zhao, Jingli Du, Zhihan Wang |
| 2023 | Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He |
| 2023 | Modeling and Control of General Hydraulic Excavator for Human-in-the-loop Automation. Guangda Chen, Yinghao Gan, Jiayi Chen, Shuanwu Shi, Wei Chen, Yingfeng Chen, Rong Xiong, Changjie Fan |
| 2023 | Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations. Lingshan Li, Di Jin, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang |
| 2023 | Multispectral Image Demosaicking Based on Multi-scale Dense Connections and Large-kernel Attention. Shufang Yu, Beibei Song, Wenwang Du, Jieran Yuan, Wenfang Sun |
| 2023 | MusiComb: a Sample-based Approach to Music Generation Through Constraints. Luca Giuliani, Francesco Ballerini, Allegra De Filippo, Andrea Borghesi |
| 2023 | Node Classification in Graph Neural Networks under Dual Consistency. Qiyu Li, Xianxian Li, De Li, Jinyan Wang |
| 2023 | Non-Refined Abstractions in Counterexample Guided Abstraction Refinement for Multi-Agent Path Finding. Pavel Surynek |
| 2023 | OdinDTA: Combining Mutual Attention and Pre-training for Drug-target Affinity Prediction. Shuting Xu, Ruochen Wang |
| 2023 | Offline Reinforcement Learning Via Optimal Transport And Improved Performance Difference Theorem. Boyi Wang, Kai Lin, Guohan Sun |
| 2023 | On Semantics of Hierarchical Planning Domain Models with Decomposition Constraints and Empty Methods. Simona Ondrcková, Roman Barták |
| 2023 | On data selection for the energy efficiency of neural networks: Towards a new solution based on a dynamic selectivity ratio. Anais Boumendil, Walid Bechkit, Karima Benatchba |
| 2023 | One-Class Classifier Performance: Comparing Majority versus Minority Class Training. Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh |
| 2023 | PEAK: Policy Event Assessment of COVID-19 Cases at the Start of the Pandemic in New York City. Amit Hiremath, Ziqian Dong, Roberto Rojas-Cessa |
| 2023 | PGN: A Perturbation Generation Network Against Deep Reinforcement Learning. Xiangjuan Li, Feifan Li, Yang Li, Quan Pan |
| 2023 | Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures. Haoming Li, Yu Xiang, Haodong Xu, Wenyong Wang |
| 2023 | Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai |
| 2023 | Personalized One-Shot Collaborative Learning. Marie Garin, Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis |
| 2023 | RC R-CNN for Bone Marrow Cell Recognition. Hua Yuan, Jian Luo, Shoubin Dong |
| 2023 | RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia |
| 2023 | Random Forest Assisted Differential Evolution for Multi-server Congested p-median Problem. Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar |
| 2023 | Recent Progress on Named Entity Recognition Based on Pre-trained Language Models. Binxia Yang, Xudong Luo |
| 2023 | Res-ViT: Residual Vision Transformers for Image Recognition Tasks. Sayda Elmi, Morris Bell |
| 2023 | Rotation-Invariant Descriptors Learned with Circulant Convolution Neural Networks. Wenwei Lin, Chonghao Zhong, Xunpei Sun, Haitao Meng, Gang Chen, Biao Hu, Zonghua Gu |
| 2023 | Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models. Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria K. Virvou, George A. Tsihrintzis |
| 2023 | SCD: Sampling-based Class Distribution for Imbalanced Semi-Supervised Learning. Haomiao Qiu, Haixing Liu, Chi Zhang |
| 2023 | Scene Retrieval in Traffic Videos with Contrastive Multimodal Learning. Touseef Sadiq, Christian W. Omlin |
| 2023 | Script Event Prediction Based on Causal Generalization Learning. Tianfu Pang, Yingchi Mao, Silong Ding, Biao Wang, Rongzhi Qi |
| 2023 | ShapeEvoNet: A shapelet-based Time Series Classification Method. Zhiyuan Zhang, Xuehu Huang |
| 2023 | Smaller and more Accurate Swin-transformer Model Prediction for Tracking. Fei Pan, Lianyu Zhao, Chenglin Wang |
| 2023 | Societal Versus Encoded Stereotypes in Text Encoders. Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem |
| 2023 | Solving Highly Constrained 3D Heterogeneous Truck Loading Problems: A Contribution to the 2022 EURO/ROADEF Challenge. Mokhtar Essaid, Abdennour Azerine, Mahmoud Golabi, Julien Lepagnot, Lhassane Idoumghar |
| 2023 | Solving Reconfiguration Problems of First-Order Expressible Properties of Graph Vertices with Boolean Satisfiability. Takahisa Toda, Takehiro Ito, Jun Kawahara, Takehide Soh, Akira Suzuki, Junichi Teruyama |
| 2023 | Suspicious: a Resilient Semi-Supervised Framework for Graph Fraud Detection. Bastien Giles, Baptiste Jeudy, Christine Largeron, Damien Saboul |
| 2023 | TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation. Yubo Gao, Haotian Wu |
| 2023 | TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting. Yi Xiang, Haoran Sun, Wenting Tu, Zejin Tian |
| 2023 | Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model. Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis |
| 2023 | The Chameleon Systems: A new Approach in Anticipatory based Decision Making Systems with Application to Electricity Markets. Miltiadis Alamaniotis |
| 2023 | The remote sensing image segmentation of land cover based on multi-scale attention features. Haiyang Hu, Linnan Yang, Jiaojiao Chen, Shuang Luo |
| 2023 | ToonMeet: A Real-time Portrait Toonification Framework with Frame Interpolation Fine-tuned for Online Meeting. Chenhao Chen, Shogo Fukushima, Yugo Nakamura, Yutaka Arakawa |
| 2023 | UDA-HOID: Unsupervised Domain Adaptation for Human-Object Interaction Detection. Miao Jiang, Weiqing Huang, Min Li, Bo Meng, Junxing Ren, Ruwen Bai, Yang Yang |
| 2023 | Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. Ornela Bregu, Nizar Bouguila |
| 2023 | Using On-The-Fly Model Checking to improve Constraint Programming for Dynamic Problems. Florian Régin, Elisabetta De Maria |
| 2023 | VFLH: A Following-the-Leader-History Based Algorithm for Adaptive Online Convex Optimization with Stochastic Constraints. Yifan Yang, Lin Chen, Pan Zhou, Xiaofeng Ding |
| 2023 | Verifying Neural Networks with Non-Linear SMT Solvers: a Short Status Report. Dario Guidotti, Laura Pandolfo, Luca Pulina |
| 2023 | Vision Transformer with Interactive Windows based on Patch Sequence Reconstruction. Yuantian Xia, Xupeng Kou, Shuhan Lu, Longhe Wang, Lin Li |
| 2023 | Voting-based Methods for Evaluating Sources and Facts Reliability. Quentin Elsaesser, Patricia Everaere, Sébastien Konieczny |
| 2023 | WE-BTR: A Behavior Tree Recommendation Method Based on Word Embedding. Hang Su, Fu Li, Xueying Wang, Jinghua Li, Yunlong Wu, Yanzhen Wang |
| 2023 | Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement. Shanglin Lei, Xiaoping Wang, Guanting Dong, Jiang Li, Yingjian Liu |
| 2023 | What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy. Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li |
| 2023 | Which Words Pillar the Semantic Expression of a Sentence? Cheng Zhang, Jingxu Cao, Dongmei Yan, Dawei Song, Jinxin Lv |
| 2023 | Window Attention with Multiple Patterns for Single Image Super-Resolution. Xianwei Xiao, Baojiang Zhong |
| 2023 | Zero-shot Bilingual App Reviews Mining with Large Language Models. Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Binbin Xu, Pierre-Louis Bernard, Gérard Dray |
| 2023 | bt-vMF Contrastive and Collaborative Learning for Long-Tailed Visual Recognition. Jinhao Du, Guibo Luo, Yuesheng Zhu, Zhiqiang Bai |
| 2023 | double PT: Enhancing Meta-Learning Performance with Pre-Train and Meta-Pre-Train Processes. Lu Wang, K. L. Eddie Law |