IDA B

34 papers

YearTitle / Authors
2026A Generic Complete Anytime Beam Search for Optimal Decision Tree.
Harold Silvère Kiossou, Pierre Schaus
2026Adaptive Local Kernel for Efficient Active Pairwise Constraint Clustering.
Vincent Blase, Julien Aligon, Moncef Garouani, Isabelle Ader, Olivier Teste
2026Advances in Intelligent Data Analysis XXIV - 24th International Symposium on Intelligent Data Analysis, IDA 2026, Leiden, The Netherlands, April 22-24, 2026, Proceedings
Mitra Baratchi, Siegfried Nijssen, Jan N. van Rijn
2026An End-to-End Framework for Measuring Product Cannibalization Using Multivariate Time Series Forecasting.
Daniela Martins, Luís Miguel Matos
2026Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity.
Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benoît Gaudou
2026Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework.
So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara, Slawomir Nowaczyk
2026CARTGen-IR: Synthetic Tabular Data Generation for Imbalanced Regression.
António Pedro Pinheiro, Rita P. Ribeiro
2026Combining Dynamic Bayesian Networks with Population Dynamics Modelling to Predict Breeding Success in Seabirds.
Alan Anderson, Neda Trifonova, Beth E. Scott, Allan Tucker
2026Conditional Motif-Based Graph Convolutional Network for Anomaly Detection in the Waste Management Network.
Sara Oliveira, Shazia Tabassum, João Gama, Ana Garcia, Pedro Santana
2026Counterfactual Explanations for Conformal Regression Intervals.
Aicha Maalej, Ulf Johansson
2026Deep Decision Forest.
Hugo Starck, Ngoc Anh Kiet David Tran, Slawomir Nowaczyk
2026Detecting Propensity Score Shifts Across Groups in Positive-Unlabeled Data.
Illia Tesliuk, Pawel Teisseyre
2026Drop the Mask! GAMM - A Taxonomy for Graph Attributes Missing Mechanisms.
Richard Serrano, Baptiste Jeudy, Charlotte Laclau, Christine Largeron
2026E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering Model.
Imane Akdim, Loubna Mekouar, Youssef Iraqi, Mohamed Nadif
2026Enabling Context-Aware Data Reductions.
Vlada Stegarescu, Franck Ravat, Jiefu Song, Leonidas Papastamatis, Benoit Baurens
2026Evidential Deep Learning is not Evidential Learning: A Clear Distinction.
Arthur Hoarau
2026Exceptional Model Residual Mining, and Three Richer EMM Description Languages.
Aniket Mishra, Cristiana Carbunaru, Wouter Duivesteijn
2026Exploiting Treatment Similarities for Enhanced Multi-treatment Uplift Prediction.
Nathan Le Boudec, Nicolas Voisine, Bruno Crémilleux
2026Extending Information Bottleneck Attribution to Video Sequences for Deepfake Detection.
Veronika Solopova, Lucas Schmidt, Vera Schmitt, Dorothea Kolossa
2026Fair Multilayer Community Detection: A Research Agenda.
Georgios Panayiotou, Matteo Magnani
2026Fast Model Selection for Interpretable Gaussian Process Models Using Laplace Approximation.
Andreas Besginow, Thomas Pawellek, Jan David Hüwel, Christian Beecks, Markus Lange-Hegermann
2026Graph 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, Sébastien Le Nours, Christine Sinoquet
2026Grasynda: Graph-Based Synthetic Time Series Generation.
Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, Vítor Cerqueira
2026Guided Feature Distillation for YOLO11: Efficient Detection of Pseudomonas Aeruginosa in High-Resolution Microscopy.
Mouhcine Ouaaziz, Dimitri Klockenbring, Joseph Lam-Weil, Cédric Wemmert, Benoît Naegel, Sarah Chouchene, Morgan Madec, Winfried Römer
2026Heterogeneous Pattern Sampling According to Frequency.
Rayane Lachache, Djawad Bekkoucha, Abdelkader Ouali, Bruno Crémilleux, Thi-Bich-Hanh Dao, Christel Vrain
2026LeTMEMo: Leveraging Topic Modeling for Evaluating (Closed-Vocabulary) Models.
Vu Minh Hoang Dang, Rakesh M. Verma
2026Learning Molecular Structures from Infrared Spectra Through Latent Evidence Prediction.
Sergio José Peresson, Danilo Croce, Roberto Basili
2026NTS-DAGMA: A Score-Based Causal Discovery for Anomaly Detection.
Navin Vincent, Abhishek Srinivasan, Anders Holst, Sepideh Pashami
2026On Sample-Wise Strict Monotonicity with a Gradient Update.
O. Taylan Turan, Marco Loog, David M. J. Tax
2026Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh.
Anna Pazola, Mohammad Shamsudduha, Richard G. Taylor, Allan Tucker
2026PromptFusionSR: Multimodal Enhancement of Low-Resolution Images with Automatic Prompt-Guided Diffusion.
Chang Qu, Ilhwan Kwon, Karthick Thiyagarajan, Mukesh Prasad, Ali Braytee
2026T-SE : A Method Built on Squeeze-and-Excitation Mechanisms for Convolutional Neural Networks' Energy Efficiency.
Noémie Draguet, Benoît Frénay
2026The Window Dilemma: Why Concept Drift Detection is Ill-Posed.
Brandon Gower-Winter, Misja Groen, Georg Krempl
2026Toward Improved Time-Series Explanations for Federated Learning in Healthcare.
Christoph Düsing, Philipp Cimiano