| 2026 | T-SE : A Method Built on Squeeze-and-Excitation Mechanisms for Convolutional Neural Networks' Energy Efficiency. | Nomie Draguet, Benot Frnay |
| 2026 | LeTMEMo: Leveraging Topic Modeling for Evaluating (Closed-Vocabulary) Models. | Vu Minh Hoang Dang, Rakesh M. Verma |
| 2026 | Exploiting Treatment Similarities for Enhanced Multi-treatment Uplift Prediction. | Nathan Le Boudec, Nicolas Voisine, Bruno Crmilleux |
| 2026 | Adaptive Local Kernel for Efficient Active Pairwise Constraint Clustering. | Vincent Blase, Julien Aligon, Moncef Garouani, Isabelle Ader, Olivier Teste |
| 2026 | Fast Model Selection for Interpretable Gaussian Process Models Using Laplace Approximation. | Andreas Besginow, Thomas Pawellek, Jan David Hwel, Christian Beecks, Markus Lange-Hegermann |
| 2026 | Combining Dynamic Bayesian Networks with Population Dynamics Modelling to Predict Breeding Success in Seabirds. | Alan Anderson, Neda Trifonova, Beth E. Scott, Allan Tucker |
| 2026 | Grasynda: Graph-Based Synthetic Time Series Generation. | Luis Amorim, Moiss Santos, Paulo J. Azevedo, Carlos Soares, Vtor Cerqueira |
| 2026 | E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering Model. | Imane Akdim, Loubna Mekouar, Youssef Iraqi, Mohamed Nadif |
| 2025 | Balancing Performance and Scalability of Demand Forecasting ML Models. | Mateusz Zarski, Slawomir Nowaczyk |
| 2025 | Balancing Global Importance and Source Proximity for Personalized Recommendations Using Random Walk Length. | Tsuyoshi Yamashita, Kunitake Kaneko |
| 2025 | Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines. | Rikard Vinge, Stefan Byttner, Jens Lundstrm |
| 2025 | Two-in-One Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient Under Anesthesia. | Quentin Victor, Ianis Clavier, Hugo Boisaubert, Fabien Picarougne, Corinne Lejus-Bourdeau, Christine Sinoquet |
| 2025 | Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks. | Julian Vexler, Bjrn Vieten, Martin Nelke, Stefan Kramer |
| 2025 | Extracting Information in a Low-Resource Setting: Case Study on Bioinformatics Workflows. | Clmence Sebe, Sarah Cohen-Boulakia, Olivier Ferret, Aurlie Nvol |
| 2025 | Overfitting in Combined Algorithm Selection and Hyperparameter Optimization. | Sietse Schrder, Mitra Baratchi, Jan N. van Rijn |
| 2025 | Improving Next Tokens via Second-to-Last Predictions with Generate and Refine. | Johannes Schneider |
| 2025 | Development of Models to Quantify Training Load in Outdoor Running Using Inertial Sensors. | Bouke L. Scheltinga, Jasper Reenalda, Jaap H. Buurke, Joost N. Kok |
| 2025 | Credal Knowledge Tracing for Imprecise and Uncertain MCQ. | Dorra Sassi, Constance Thierry, David Gross-Amblard |
| 2025 | Expertise Prediction of Tetris Players Using Eye Tracking Information. | Stijn J. Rotman, Gianluca Guglielmo, Boris Cule, Michal Klincewicz |
| 2025 | Semi-supervised Learning with Pairwise Instance Comparisons for Medical Instance Classification. | Anne Rother, Till Ittermann, Myra Spiliopoulou |
| 2025 | Detection of Large Language Model Contamination with Tabular Data. | Benot Ronval, Pierre Dupont, Siegfried Nijssen |
| 2025 | Bridging Spatial and Temporal Contexts: Sparse Transfer Learning. | Daniel Persson, William Wahlberg, Anna Vettoruzzo, Slawomir Nowaczyk |
| 2025 | Assessing the Graph Structure Learning in Graph Deviation Networks. | Canberk Ozen, Slawomir Nowaczyk, Prayag Tiwari, Sepideh Pashami |
| 2025 | The When and How of Target Variable Transformations. | Loren Nuyts, Jesse Davis |
| 2025 | SiamCircle: Trajectory Representation Learning in Free Settings. | Maedeh Nasri, Mitra Baratchi, Alexander Koutamanis, Carolien Rieffe |