| 2024 | Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis. | Miguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Toms, Helena Aidos |
| 2024 | Sparse Uncertainty-Informed Sampling from Federated Streaming Data. | Manuel Rder, Frank-Michael Schleif |
| 2024 | On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions. | Frederieke Richert, Otavio Citton, Michael Biehl |
| 2024 | Machine Learning Methods for BCI: challenges, pitfalls and promises. | Jaime Riascos, Marta Molinas, Fabien Lotte |
| 2024 | Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding Networks. | Jan Rathjens, Laurenz Wiskott |
| 2024 | Unsupervised Drift Detection Using Quadtree Spatial Mapping. | Bernardo A. Ramos, Cristiano Leite de Castro, Tiago A. Coelho, Plamen Angelov |
| 2024 | Machine learning in distributed, federated and non-stationary environments - recent trends. | Mirko Polato, Barbara Hammer, Frank-Michael Schleif |
| 2024 | Hyperbolic Metabolite-Disease Association Prediction. | Domonkos Pogny, Pter Antal |
| 2024 | Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms. | Ondrej Podsztavek, Alexander I. Jordan, Pavel Tvrdk, Kai Lars Polsterer |
| 2024 | Evaluation methodology for disentangled uncertainty quantification on regression models. | Kevin Pasini, Clment Arlotti, Milad Leyli-Abadi, Marc Nabhan, Johanna Baro |
| 2024 | LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables. | Julien Paris, Christine Sinoquet, Fadoua Taia-Alaoui, Corinne Lejus-Bourdeau |
| 2024 | Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface. | Mithila Packiyanathan, Andr Torvestad, Marta Molinas, Luis Alfredo Moctezuma |
| 2024 | Tumor Grading via Decorrelated Sparse Survival Regression. | Benjamin Paassen, Nadine T. Gaisa, Michael Rose, Mark-Sebastian Bsherz |
| 2024 | Informed Machine Learning for Complex Data. | Luca Oneto, Nicol Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita |
| 2024 | Informed Machine Learning: Excess Risk and Generalization. | Luca Oneto, Davide Anguita, Sandro Ridella |
| 2024 | Sequential Continual Pre-Training for Neural Machine Translation. | Niko Dalla Noce, Michele Resta, Davide Bacciu |
| 2024 | Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts. | Thanh Thi Nguyen, Campbell Wilson, Janis Dalins |
| 2024 | T-WinG: Windowing for Temporal Knowledge Graph Completion. | Ngoc-Trung Nguyen, Thanh Vu, Thanh Le |
| 2024 | Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets. | Nicol Navarin, Luca Pasa, Alessandro Sperduti |
| 2024 | Large-Scale Continuous Structure Learning from Time-Series Data. | Filippo Michelis, Riccardo Massidda, Davide Bacciu |
| 2024 | ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery. | Tomasz Michalski, Dawid Rymarczyk, Daniel Barczyk, Bartosz Zielinski |
| 2024 | Visualizing and Improving 3D Mesh Segmentation with DeepView. | Andreas Mazur, Isaac Roberts, David P. Leins, Alexander Schulz, Barbara Hammer |
| 2024 | AI-based algorithm for intrusion detection on a real dataset. | David Esteban Martnez, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Elena Hernndez-Pereira, Alejandro Esteban Martnez |
| 2024 | Large Language Models as Tuning Agents of Metaheuristics. | Alicja Martinek, Szymon Lukasik, Amir H. Gandomi |
| 2024 | AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras. | Dominik Mairhfer, Manuel Laufer, Lennart Berkel, Arpad Bischof, Erhardt Barth, Jrg Barkhausen, Thomas Martinetz |