| 2026 | NTS-DAGMA: A Score-Based Causal Discovery for Anomaly Detection. | Navin Vincent, Abhishek Srinivasan, Anders Holst, Sepideh Pashami |
| 2026 | On Sample-Wise Strict Monotonicity with a Gradient Update. | O. Taylan Turan, Marco Loog, David M. J. Tax |
| 2026 | Detecting Propensity Score Shifts Across Groups in Positive-Unlabeled Data. | Illia Tesliuk, Pawel Teisseyre |
| 2026 | Enabling Context-Aware Data Reductions. | Vlada Stegarescu, Franck Ravat, Jiefu Song, Leonidas Papastamatis, Benoit Baurens |
| 2026 | Deep Decision Forest. | Hugo Starck, Ngoc Anh Kiet David Tran, Slawomir Nowaczyk |
| 2026 | Extending Information Bottleneck Attribution to Video Sequences for Deepfake Detection. | Veronika Solopova, Lucas Schmidt, Vera Schmitt, Dorothea Kolossa |
| 2026 | Drop the Mask! GAMM - A Taxonomy for Graph Attributes Missing Mechanisms. | Richard Serrano, Baptiste Jeudy, Charlotte Laclau, Christine Largeron |
| 2026 | Graph Neural Networks for Graph-Level Regression on Heterogeneous Network Data: Use Case in Early-Stage Optimization of Software Mapping on Multicore Platforms. | Oscar Roussel, Zainab Ghrayeb, Sbastien Le Nours, Christine Sinoquet |
| 2026 | PromptFusionSR: Multimodal Enhancement of Low-Resolution Images with Automatic Prompt-Guided Diffusion. | Chang Qu, Ilhwan Kwon, Karthick Thiyagarajan, Mukesh Prasad, Ali Braytee |
| 2026 | CARTGen-IR: Synthetic Tabular Data Generation for Imbalanced Regression. | Antnio Pedro Pinheiro, Rita P. Ribeiro |
| 2026 | Learning Molecular Structures from Infrared Spectra Through Latent Evidence Prediction. | Sergio Jos Peresson, Danilo Croce, Roberto Basili |
| 2026 | Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh. | Anna Pazola, Mohammad Shamsudduha, Richard G. Taylor, Allan Tucker |
| 2026 | Fair Multilayer Community Detection: A Research Agenda. | Georgios Panayiotou, Matteo Magnani |
| 2026 | Guided Feature Distillation for YOLO11: Efficient Detection of Pseudomonas Aeruginosa in High-Resolution Microscopy. | Mouhcine Ouaaziz, Dimitri Klockenbring, Joseph Lam-Weil, Cdric Wemmert, Benot Naegel, Sarah Chouchene, Morgan Madec, Winfried Rmer |
| 2026 | Conditional Motif-Based Graph Convolutional Network for Anomaly Detection in the Waste Management Network. | Sara Oliveira, Shazia Tabassum, Joo Gama, Ana Garcia, Pedro Santana |
| 2026 | Exceptional Model Residual Mining, and Three Richer EMM Description Languages. | Aniket Mishra, Cristiana Carbunaru, Wouter Duivesteijn |
| 2026 | An End-to-End Framework for Measuring Product Cannibalization Using Multivariate Time Series Forecasting. | Daniela Martins, Lus Miguel Matos |
| 2026 | Counterfactual Explanations for Conformal Regression Intervals. | Aicha Maalej, Ulf Johansson |
| 2026 | Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity. | Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benot Gaudou |
| 2026 | Heterogeneous Pattern Sampling According to Frequency. | Rayane Lachache, Djawad Bekkoucha, Abdelkader Ouali, Bruno Crmilleux, Thi-Bich-Hanh Dao, Christel Vrain |
| 2026 | A Generic Complete Anytime Beam Search for Optimal Decision Tree. | Harold Silvre Kiossou, Pierre Schaus |
| 2026 | Evidential Deep Learning is not Evidential Learning: A Clear Distinction. | Arthur Hoarau |
| 2026 | The Window Dilemma: Why Concept Drift Detection is Ill-Posed. | Brandon Gower-Winter, Misja Groen, Georg Krempl |
| 2026 | Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework. | So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara, Slawomir Nowaczyk |
| 2026 | Toward Improved Time-Series Explanations for Federated Learning in Healthcare. | Christoph Dsing, Philipp Cimiano |