| 2024 | TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. | Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella |
| 2024 | Tackling Selfish Clients in Federated Learning. | Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K. Das |
| 2024 | On the Computation of Contrastive Explanations for Boosted Regression Trees. | Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis |
| 2024 | Designing an XAI Interface for Tree-Based ML Models. | Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski |
| 2024 | Unveiling the Power of Sparse Neural Networks for Feature Selection. | Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar |
| 2024 | Enhancing Reinforcement Learning Through Guided Search. | Jrme Arjonilla, Abdallah Saffidine, Tristan Cazenave |
| 2024 | Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. | Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2024 | TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT. | Duy Le Dinh Anh, Kim Hoang Tran, Ngan Hoang Le |
| 2024 | Learning Brave Assumption-Based Argumentation Frameworks via ASP. | Emanuele De Angelis, Maurizio Proietti, Francesca Toni |
| 2024 | Using Backdoors to Generate Learnt Information in SAT Solving. | Alexander Andreev, Konstantin Chukharev, Stepan Kochemazov, Alexander A. Semenov |
| 2024 | Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. | Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma |
| 2024 | Modelling Diffusion of Dependent and Conflicting Behaviours with Dynamic Logic. | Gabriel de Senne Amorim, Marlo Souza, lvaro Freitas Moreira |
| 2024 | Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation. | Guy Amir, Shahaf Bassan, Guy Katz |
| 2024 | LightFF: Lightweight Inference for Forward-Forward Algorithm. | Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar |
| 2024 | Axiomatic Characterisations of Sample-based Explainers. | Leila Amgoud, Martin C. Cooper, Salim Debbaoui |
| 2024 | Post-hoc Explanation of Extension Semantics. | Leila Amgoud |
| 2024 | Bipartite Time Series Network for Data Imputation. | Ilaria Lucrezia Amerise, Valeria Fionda, Giuseppe Pirr |
| 2024 | Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection. | Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng, Banafsheh Rekabdar |
| 2024 | An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms. | Mohammad Essa Alsomali, Roberto Rodrigues Filho, Leandro Soriano Marcolino, Barry Porter |
| 2024 | Assessing Privacy Risks of Attribute Inference Attacks Against Speech-Based Depression Detection System. | Basmah Alsenani, Anna Esposito, Alessandro Vinciarelli, Tanaya Guha |
| 2024 | Planning to be Healthy: Towards Personalized Medication Planning. | Lee-or Alon, Hana Weitman, Alexander Shleyfman, Gal A. Kaminka |
| 2024 | Cautious Calibration in Binary Classification. | Mari-Liis Allikivi, Joonas Jrve, Meelis Kull |
| 2024 | Interpretable Graph Neural Networks for Tabular Data. | Amr Alkhatib, Sofiane Ennadir, Henrik Bostrm, Michalis Vazirgiannis |
| 2024 | Quantifying a Causal Effect from a CPDAG with Targeted Exogenous Causal Knowledge. | Mahdi Hadj Ali, Yann Le Biannic, Pierre-Henri Wuillemin |
| 2024 | AI-Powered Virtual Reality System for Training Wrist Amputees to Use Advanced Prosthetic Solutions. | Vladislav Aksiotis, Oleg Sazonov, Kamila Nasrulina, Daria Medvedeva, Uliya Nekrasova, Alexei Ossadtchi |