| 2024 | From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics. | Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jrme Lacaille |
| 2024 | Stable Diffusion Dataset Generation for Downstream Classification Tasks. | Eugenio Lomurno, Matteo D'Oria, Matteo Matteucci |
| 2024 | Few-shot similarity learning for motion classification via electromyography. | Rui Liu, Benjamin Paassen |
| 2024 | Noise Robust One-Class Intrusion Detection on Dynamic Graphs. | Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer |
| 2024 | Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG. | Shanglin Li, Motoaki Kawanabe, Reinmar J. Kobler |
| 2024 | Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes. | Simon Lejoly, Arianna Piccialli, Arnaud Mahieux, Ann-Carine Vandaele, Benot Frnay |
| 2024 | Recurrent Neural Network based Counter Automata. | Srgio Leal, Luis Fernando Lago-Fernndez |
| 2024 | Inductive lateral movement detection in enterprise computer networks. | Corentin Larroche |
| 2024 | Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE. | Pierre Lambert, Edouard Couplet, Cyril de Bodt, John A. Lee |
| 2024 | Aeronautic data analysis. | Jrme Lacaille, Patrick Fabiani, Patricia Besson |
| 2024 | Domain Knowledge Integration in Machine Learning Systems - An Introduction. | Marika Kaden, Sascha Saralajew, Thomas Villmann |
| 2024 | Invariant Representation Learning for Generalizable Imitation. | Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi |
| 2024 | Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes. | Saba Izadkhah, Banafsheh Rekabdar |
| 2024 | Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations. | Anusha Ihalapathirana, Gunjan Chandra, Piia Lavikainen, Pekka Siirtola, Satu Tamminen, Nirzor Talukder, Janne Martikainen, Juha Rning |
| 2024 | On the Fine Structure of Drifting Features. | Fabian Hinder, Valerie Vaquet, Barbara Hammer |
| 2024 | Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies. | Dennis Gross, Helge Spieker |
| 2024 | CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search. | Antoine Gratia, Hong Liu, Shin'ichi Satoh, Paul Temple, Pierre-Yves Schobbens, Gilles Perrouin |
| 2024 | Exploring Self-Organizing Maps for Addressing Semantic Impairments. | Jorge Graneri, Sebastin Basterrech, Gerardo Rubino, Eduardo Mizraji |
| 2024 | Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding. | Lucas Goen, Siamak Mehrkanoon |
| 2024 | Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation. | Davide Di Giusto, Grgoire Boussu, Simon Alix, Cline Reverdy, Mathieu Riou, Teodora Petrisor |
| 2024 | Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra. | Nikos Gianniotis, Kai L. Polsterer, Iliana Isabel Corts Prez |
| 2024 | Leveraging endoscopic data with Contrastive Learning for Crohn's disease detection. | Robin Ghyselinck, Jrme Fink, Bruno Dumas, Benot Frnay |
| 2024 | Continual Learning of Deep Neural Networks in The Age of Big Data. | Alexander Gepperth, Timothe Lesort |
| 2024 | Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings. | Diego Garca-Prez, Ignacio Daz Blanco, Jos Mara Enguita, Jorge Menndez, Abel Alberto Cuadrado Vega |
| 2024 | Reservoir Memory Networks. | Claudio Gallicchio, Andrea Ceni |