Table of Contents

• Adaptive Local Kernel for Efficient Active Pairwise Constraint ClusteringVincent Blase, Julien Aligon, Moncef Garouani, Isabelle Ader, Olivier Teste. 3-17 [doi]
• Evidential Deep Learning is not Evidential Learning: A Clear DistinctionArthur Hoarau. 18-30 [doi]
• Enabling Context-Aware Data ReductionsVlada Stegarescu, Franck Ravat, Jiefu Song, Leonidas Papastamatis, Benoit Baurens. 31-44 [doi]
• T-SE : A Method Built on Squeeze-and-Excitation Mechanisms for Convolutional Neural Networks' Energy EfficiencyNoémie Draguet, Benoît Frénay. 45-57 [doi]
• Detecting Propensity Score Shifts Across Groups in Positive-Unlabeled DataIllia Tesliuk, Pawel Teisseyre. 58-71 [doi]
• On Sample-Wise Strict Monotonicity with a Gradient UpdateO. Taylan Turan, Marco Loog, David M. J. Tax. 72-83 [doi]
• PromptFusionSR: Multimodal Enhancement of Low-Resolution Images with Automatic Prompt-Guided DiffusionChang Qu, Ilhwan Kwon, Karthick Thiyagarajan, Mukesh Prasad, Ali Braytee. 84-96 [doi]
• A Generic Complete Anytime Beam Search for Optimal Decision TreeHarold Silvère Kiossou, Pierre Schaus. 97-109 [doi]
• NTS-DAGMA: A Score-Based Causal Discovery for Anomaly DetectionNavin Vincent, Abhishek Srinivasan, Anders Holst, Sepideh Pashami. 113-125 [doi]
• Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their ComplementarityJordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benoît Gaudou. 126-140 [doi]
• Counterfactual Explanations for Conformal Regression IntervalsAicha Maalej, Ulf Johansson. 141-153 [doi]
• Extending Information Bottleneck Attribution to Video Sequences for Deepfake DetectionVeronika Solopova, Lucas Schmidt, Vera Schmitt, Dorothea Kolossa. 154-168 [doi]
• Fast Model Selection for Interpretable Gaussian Process Models Using Laplace ApproximationAndreas Besginow, Thomas Pawellek, Jan David Hüwel, Christian Beecks, Markus Lange-Hegermann. 169-182 [doi]
• Deep Decision ForestHugo Starck, Ngoc Anh Kiet David Tran, Slawomir Nowaczyk. 185-198 [doi]
• Graph Neural Networks for Graph-Level Regression on Heterogeneous Network Data: Use Case in Early-Stage Optimization of Software Mapping on Multicore PlatformsOscar Roussel, Zainab Ghrayeb, Sébastien Le Nours, Christine Sinoquet. 199-212 [doi]
• Guided Feature Distillation for YOLO11: Efficient Detection of Pseudomonas Aeruginosa in High-Resolution MicroscopyMouhcine Ouaaziz, Dimitri Klockenbring, Joseph Lam-Weil, Cédric Wemmert, Benoît Naegel, Sarah Chouchene, Morgan Madec, Winfried Römer. 213-224 [doi]
• Learning Molecular Structures from Infrared Spectra Through Latent Evidence PredictionSergio José Peresson, Danilo Croce, Roberto Basili 0001. 225-238 [doi]
• E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering ModelImane Akdim, Loubna Mekouar, Youssef Iraqi, Mohamed Nadif. 239-252 [doi]
• Exploiting Treatment Similarities for Enhanced Multi-treatment Uplift PredictionNathan Le Boudec, Nicolas Voisine, Bruno Crémilleux. 255-268 [doi]
• Exceptional Model Residual Mining, and Three Richer EMM Description LanguagesAniket Mishra, Cristiana Carbunaru, Wouter Duivesteijn. 269-282 [doi]
• Heterogeneous Pattern Sampling According to FrequencyRayane Lachache, Djawad Bekkoucha, Abdelkader Ouali, Bruno Crémilleux, Thi-Bich-Hanh Dao, Christel Vrain. 283-297 [doi]
• Drop the Mask! GAMM - A Taxonomy for Graph Attributes Missing MechanismsRichard Serrano, Baptiste Jeudy, Charlotte Laclau, Christine Largeron. 298-311 [doi]
• CARTGen-IR: Synthetic Tabular Data Generation for Imbalanced RegressionAntónio Pedro Pinheiro, Rita P. Ribeiro. 312-326 [doi]
• Conditional Motif-Based Graph Convolutional Network for Anomaly Detection in the Waste Management NetworkSara Oliveira, Shazia Tabassum, João Gama 0001, Ana Garcia, Pedro Santana. 327-339 [doi]
• Fair Multilayer Community Detection: A Research AgendaGeorgios Panayiotou, Matteo Magnani. 340-353 [doi]
• An End-to-End Framework for Measuring Product Cannibalization Using Multivariate Time Series ForecastingDaniela Martins, Luís Miguel Matos. 357-370 [doi]
• The Window Dilemma: Why Concept Drift Detection is Ill-PosedBrandon Gower-Winter, Misja Groen, Georg Krempl. 371-384 [doi]
• Toward Improved Time-Series Explanations for Federated Learning in HealthcareChristoph Düsing, Philipp Cimiano. 385-397 [doi]
• Grasynda: Graph-Based Synthetic Time Series GenerationLuis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira. 398-410 [doi]
• Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in BangladeshAnna Pazola, Mohammad Shamsudduha, Richard G. Taylor, Allan Tucker. 413-426 [doi]
• Combining Dynamic Bayesian Networks with Population Dynamics Modelling to Predict Breeding Success in SeabirdsAlan Anderson, Neda Trifonova, Beth E. Scott, Allan Tucker. 427-437 [doi]
• Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software FrameworkSo Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara, Slawomir Nowaczyk. 438-452 [doi]
• LeTMEMo: Leveraging Topic Modeling for Evaluating (Closed-Vocabulary) ModelsVu Minh Hoang Dang, Rakesh M. Verma. 453-465 [doi]