| 2024 | SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation. | Chuxin Zhang, Ana Maria Barragn-Montero, John A. Lee |
| 2024 | Feature Learning using Multi-view Kernel Partial Least Squares. | Xinjie Zeng, Qinghua Tao, Johan A. K. Suykens |
| 2024 | Graph-cut-assisted CNN training for pulmonary embolism segmentation. | Nana Yang, Robin Verschueren, Christophe De Vleeschouwer |
| 2024 | An Efficient Neural Architecture Search Model for Medical Image Classification. | Lunchen Xie, Eugenio Lomurno, Matteo Gambella, Danilo Ardagna, Manuel Roveri, Matteo Matteucci, Qingjiang Shi |
| 2024 | On the Stability of Neural Segmentation in Radiology. | Moritz Wolter, Lokesh Veeramacheneni, Bettina Baeler, Ulrike I. Attenberger, Barbara D. Wichtmann |
| 2024 | Why long model-based rollouts are no reason for bad Q-value estimates. | Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp |
| 2024 | Towards calibration-free online EEG motor imagery decoding using Deep Learning. | Martin Wimpff, Jan Zerfowski, Bin Yang |
| 2024 | Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks. | Jasper Wilfling, Matias Valdenegro-Toro, Marco Zullich |
| 2024 | Similarity-Based Zero-Shot Domain Adaptation for Wearables. | Markus Vieth, Nils Grimmelsmann, Axel Schneider, Barbara Hammer |
| 2024 | Convergence analysis of an inexact gradient method on smooth convex functions. | Pierre Vernimmen, Franois Glineur |
| 2024 | Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. | Sbastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Frdric Dehais |
| 2024 | Interpreting Hybrid AI through Autodecoded Latent Space Entities. | Roland J. Veen, Christodoulos Hadjichristodoulou, Michael Biehl |
| 2024 | Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning. | Jean Pierre Brik Lpez Vargas, Davi Duarte de Paula, Denis Henrique Pinheiro Salvadeo, Emlio Bergamim |
| 2024 | Self-Supervised Learning from Incrementally Drifting Data Streams. | Valerie Vaquet, Jonas Vaquet, Fabian Hinder, Kleanthis Malialis, Christos G. Panayiotou, Marios M. Polycarpou, Barbara Hammer |
| 2024 | Influence of image encoders and image features transformations in emergent communication. | Bastien Vanderplaetse, Stphane Dupont, Xavier Siebert |
| 2024 | Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms. | Loc Tran, Bac Le, Thanh Le |
| 2024 | Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine Learning. | Andr Torvestad, Mithila Packiyanathan, Luis Alfredo Moctezuma, Marta Molinas |
| 2024 | Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification. | Domenico Tortorella, Alessio Micheli |
| 2024 | A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines. | Solne Thpaut, Sbastien Razakarivony, Dong Quan Vu, Alfred Bauny |
| 2024 | Clarity: a Deep Ensemble for Visual Counterfactual Explanations. | Claire Theobald, Frdric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli |
| 2024 | Enhancing Echo State Networks with Gradient-based Explainability Methods. | Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu |
| 2024 | EEG Source Imaging Enhances Motor Imagery Classification. | Andrs Felipe Soler, Viktor Naas, Amita Giri, Marta Molinas |
| 2024 | About Vector Quantization and its Privacy in Federated Learning. | Ronny Schubert, Thomas Villmann |
| 2024 | Physics-Aware Normalizing Flows: Leveraging Electric Circuit Models in Adversarial Learning. | Benjamin Schindler, Thomas Schmid |
| 2024 | Reconstruction of Mammography Projections using Image-to-Image Translation Techniques. | Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu |