| 2024 | Embodying Language Models in Robot Action. | Connor Gde, Ozan zdemir, Cornelius Weber, Stefan Wermter |
| 2024 | Robustness and Regularization in Hierarchical Re-Basin. | Benedikt Franke, Florian Heinrich, Markus Lange, Arne P. Raulf |
| 2024 | XAI and Bias of Deep Graph Networks. | Michele Fontanesi, Alessio Micheli, Marco Podda |
| 2024 | FedHP: Federated Learning with Hyperspherical Prototypical Regularization. | Samuele Fonio, Mirko Polato, Roberto Esposito |
| 2024 | Joint Entropy Search for Multi-objective Bayesian Optimization with Constraints and Multiple Fidelities. | Daniel Fernndez-Snchez, Daniel Hernndez-Lobato |
| 2024 | Lightweight Cross-Modal Representation Learning. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra |
| 2024 | Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics. | Jos M. Enguita-Gonzalez, Diego Garca-Prez, Abel Alberto Cuadrado Vega, Daniel Garca-Pea, Jos Ramn Rodrguez-Ossorio, Ignacio Daz Blanco |
| 2024 | A Two-Stage Approach for Implicit Bias Detection in Generative Language Models. | Jeremy Edwards, Renjie Hu, Amaury Lendasse, Alexander Schlager, Peggy Lindner |
| 2024 | Link prediction heuristics for temporal graph benchmark. | Manuel Dileo, Matteo Zignani |
| 2024 | Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation. | Emre Demir, Ren Traor, Andrs Camero |
| 2024 | From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images. | Valentin Delchevalerie, Benot Frnay, Alexandre Mayer |
| 2024 | SAT Instances Generation Using Graph Variational Autoencoders. | Daniel Crowley, Marco Dalla, Barry O'Sullivan, Andrea Visentin |
| 2024 | Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models. | Nuno Costa, Filipa S. Barros, Joo J. G. Lima, Rui F. Pinto, Andr Restivo |
| 2024 | Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation. | Sacha Corbugy, Thibaut Septon, Bruno Dumas, Benot Frnay |
| 2024 | Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange. | Sarel Cohen, Manuel Hettich, Philipp Bielefeld, Crispin Schomers, Tobias Friedrich |
| 2024 | "Mental Images" driven classification. | Gianluca Coda, Massimo De Gregorio, Antonio Sorgente, Paolo Vanacore |
| 2024 | ChatDT: Simplifying Constraint Integration in Decision Trees. | Abiola Paterne Chokki, Benot Frnay |
| 2024 | Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites. | Asli elik, Oguzhan Urhan, Andrea Cossu, Vincenzo Lomonaco |
| 2024 | Federated Time Series Classification with ROCKET features. | Bruno Casella, Matthias Jakobs, Marco Aldinucci, Sebastian Buschjger |
| 2024 | Federated Learning in a Semi-Supervised Environment for Earth Observation Data. | Bruno Casella, Alessio Barbaro Chisari, Marco Aldinucci, Sebastiano Battiato, Mario Valerio Giuffrida |
| 2024 | Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty. | Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Barbara Hammer |
| 2024 | Transfer learning to minimize the predictive risk in clinical research. | Samuel Branders, Jrme Paul, Arthur Ooghe, lvaro Pereira |
| 2024 | Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings. | Antnio de Pdua Braga, Murilo V. F. Menezes, Luiz C. B. Torres |
| 2024 | Trust in Artificial Intelligence: Beyond Interpretability. | Tassadit Bouadi, Benot Frnay, Luis Galrraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin |
| 2024 | Vision Language Models as Policy Learners in Reinforcement Learning Environments. | Giovanni Bonetta, Davide Zago, Rossella Cancelliere, Mirko Polato, Bernardo Magnini |