| 2023 | Improving Mental Disorder Predictions using Feature-Based Machine Learning Techninques. | Faustino Muetunda, Sebastio Pais, Soumaya Sabry, Gal Dias, Nuno Pombo, Joo Cordeiro |
| 2023 | Exploring the Role of Artificial Intelligence in Mental Health. | Faustino Muetunda, M. Luqman Jamil, Sebastio Pais, Soumaya Sabry, Gal Dias, Nuno Pombo, Joo Cordeiro |
| 2023 | Towards graph-based forecasting with attention for real-world restaurant sales. | Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper |
| 2023 | A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. | Hugues Moreau, Etienne Cme, Allou Sam, Latifa Oukhellou |
| 2023 | Exploiting Local Information with Subgraph Embedding for Graph Neural Networks. | Hyung-Jun Moon, Sung-Bae Cho |
| 2023 | Annotating Panic in Social Media using Active Learning, Transformers and Domain Knowledge. | Sandra Mitrovic, Fabio Frisone, Suryam Gupta, Chiara Lucifora, Dragana Carapic, Carlo Schillaci, Samuele Di Giovanni, Ayushi Singh |
| 2023 | SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training. | Meghdad Mirabi, Ren Klaus Nikiel, Carsten Binnig |
| 2023 | Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality. | Sein Minn, Shunkai Fu |
| 2023 | Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. | Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba |
| 2023 | Adaptive Student Inference Network for Efficient Single Image Super-Resolution. | Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong |
| 2023 | PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. | Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao |
| 2023 | Develop End-to-End Anomaly Detection System. | Emanuele Mengoli, Zhiyuan Yao, Wutao Wei, Thomas H. Clausen |
| 2023 | Industry credit spread forecasting based on time series data and industry relationships. | Fan Meng, Yuyong Li, Hanqing Yu, Xiaofei Zhou, Win-Bin Huang |
| 2023 | Uncertainty-aware Traffic Prediction under Missing Data. | Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei |
| 2023 | Multi-Dictionary Tensor Decomposition. | Maxwell McNeil, Petko Bogdanov |
| 2023 | An in-depth analysis of robustness and accuracy of recommendation systems. | Haonan Ma, Can Wang, Yunwei Zhao, Luhua Wang, Xiulian Cao, Jinyin Chen, Han Han, Meichen Liu |
| 2023 | Hypergraph Contrastive Learning for Drug Trafficking Community Detection. | Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye |
| 2023 | Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms. | Qian'ang Mao, Sheng Wan, Daning Hu, Jiaqi Yan, Jin Hu, Xuan Yang |
| 2023 | Deep Attention Q-Network for Personalized Treatment Recommendation. | Simin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang |
| 2023 | Racial Skew in Fine-Tuned Legal AI Language Models. | Vincent Quirante Malic, Anamika Kumari, Xiaozhong Liu |
| 2023 | Leveraging Implicit Knowledge in Recommender Systems for Maternal Health. | Negar Maleki, Balaji Padmanabhan, Kaushik Dutta |
| 2023 | An IoT-based Approach to Expert Recommendation in Community Question Answering for Disaster Recovery. | Davide Macr, Antonio Francesco Gentile, Pietro Sabatino |
| 2023 | DropMix: Better Graph Contrastive Learning with Harder Negative Samples. | Yueqi Ma, Minjie Chen, Xiang Li |
| 2023 | PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation. | Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai |
| 2023 | Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths. | Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, Eamonn J. Keogh |