| 2024 | Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency. | Sanjay Chandlekar |
| 2024 | Layered Graph Security Games. | Jakub Cern, Chun Kai Ling, Christian Kroer, Garud Iyengar |
| 2024 | On the Power and Limitations of Examples for Description Logic Concepts. | Balder ten Cate, Raoul Koudijs, Ana Ozaki |
| 2024 | Trends, Applications, and Challenges in Human Attention Modelling. | Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo, Alessandro D'Amelio, Dario Zanca, Giuseppe Boccignone, Rita Cucchiara |
| 2024 | Re: Draw - Context Aware Translation as a Controllable Method for Artistic Production. | Joo Librio Cardoso, Francesco Banterle, Paolo Cignoni, Michael Wimmer |
| 2024 | Randomized Learning-Augmented Auctions with Revenue Guarantees. | Ioannis Caragiannis, Georgios Kalantzis |
| 2024 | A Top-Down Tree Model Counter for Quantified Boolean Formulas. | Florent Capelli, Jean-Marie Lagniez, Andreas Plank, Martina Seidl |
| 2024 | MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection. | Guiping Cao, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang, Yaowei Wang |
| 2024 | PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure. | Feiqi Cao, Soyeon Caren Han, Hyunsuk Chung |
| 2024 | Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression. | Tianxiao Cao, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka |
| 2024 | SGDCL: Semantic-Guided Dynamic Correlation Learning for Explainable Autonomous Driving. | Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li |
| 2024 | Anytime Sorting Algorithms. | Emma Caizergues, Franois Durand, Fabien Mathieu |
| 2024 | LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. | Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng |
| 2024 | Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. | Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo |
| 2024 | With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. | Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv |
| 2024 | A New Paradigm for Counterfactual Reasoning in Fairness and Recourse. | Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich |
| 2024 | Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes. | Giovanni Buraglio, Wolfgang Dvork, Matthias Knig, Markus Ulbricht |
| 2024 | Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring. | Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno |
| 2024 | Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO. | Jasmin Brandt, Marcel Wever, Viktor Bengs, Eyke Hllermeier |
| 2024 | Polynomial Time Presolve Algorithms for Rotation-Based Models Solving the Robust Stable Matching Problem. | Sulian Le Bozec-Chiffoleau, Charles Prud'homme, Gilles Simonin |
| 2024 | Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs. | Eline M. Bovy, Marnix Suilen, Sebastian Junges, Nils Jansen |
| 2024 | Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible Training. | Katia Bourahmoune, Karlos Ishac, Marc Carmichael |
| 2024 | Primal Grammars Driven Automated Induction. | Adel Bouhoula, Miki Hermann |
| 2024 | Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights. | Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Ccile Rousseau, Alessandra Pascale, John Dinsmore |
| 2024 | Towards Exact Computation of Inductive Bias. | Akhilan Boopathy, William Yue, Jaedong Hwang, Abhiram Iyer, Ila Fiete |