Advances 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, editors

Format:

Book

Conference/Event

Contributor:

Baratchi, Mitra, 1985- editor.

Nijssen, Siegfried, 1978- editor.

Rijn, Jan van (Jan Nicolaas), 1987- editor.

Conference Name:

International Symposium on Intelligent Data Analysis (24th : 2026 : Leiden, Netherlands)

Series:

Lecture notes in computer science ; 16513.

Lecture notes in computer science 1611-3349 16513

Language:

English

Subjects (All):

Pattern recognition systems.

Mathematical statistics.

Mathematical statistics--Data processing.

Artificial intelligence.

Genre:

Conference papers and proceedings

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2026]

Summary:

"This volume constitutes the refereed proceedings of the 24th International Symposium on Intelligent Data Analysis, IDA 2026, held in Leiden, The Netherlands, during April 22-24, 2026.The 33 full papers included in the proceedings were carefully reviewed and selected from 86 submissions. They were organized in topical sections as follows: Foundations of AI/ML; XAI; Representation Learning; Data Mining; and Temporal Data"-- Springer Nature Link

Contents:

Adaptive local kernel for efficient active pairwise constraint clustering / Vincent Blase, Julien Aligon, Moncef Garouani, Isabelle Ader, and Olivier Teste

Evidential deep learning is not evidential learning : A clear distinction / Arthur Hoarau

Enabling context-aware data reductions / Vlada Stegarescu, Franck Ravat, Jiefu Song, Leonidas Papastamatis, and Benoit Baurens

T-SE : A method built on squeeze-and-excitation mechanisms for convolutional neural networks’ energy efficiency / Noémie Draguet and Benoît Frénay

Detecting propensity score shifts across groups in positive–unlabeled data / Illia Tesliuk and Pawel Teisseyr e

On sample-wise strict monotonicity with a gradient update / O. Taylan Turan, Marco Loog, and David M. J. Tax

PromptFusionSR : Multimodal enhancement of low-resolution images with automatic prompt-guided diffusion / Chang Qu, Ilhwan Kwon, Karthick Thiyagarajan, Mukesh Prasad, and Ali Braytee

A generic complete anytime beam search for optimal decision tree / Harold Kiossou and Pierre Schaus

NTS-DAGMA : A score-based causal discovery for anomaly detection / Navin Vincent, Abhishek Srinivasan, Anders Holst, and Sepideh Pashami

Analyzing Shapley additive explanations to understand anomaly detection algorithm behaviors and their complementarity / Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, and Benoit Gaudou

Counterfactual explanations for conformal regression intervals / Aicha Maalej and Ulf Johansson

Extending information bottleneck attribution to video sequences for deepfake detection / Veronika Solopova, Lucas Schmidt, Vera Schmitt, and Dorothea Kolossa

Fast model selection for interpretable Gaussian process models using Laplace approximation / Andreas Besginow, Thomas Pawellek, Jan David Hüwel, Christian Beecks, and Markus Lange-Hegermann

Deep decision forest / Hugo Starck, Ngoc Anh Kiet David Tran, and Slawomir Nowaczyk

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, Sébastien Le Nours, and Christine Sinoquet

Guided 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, and Winfried Römer

Learning molecular structures from infrared spectra through latent evidence prediction / Sergio José Peresson, Danilo Croce, and Roberto Basili

E-PAGEC : A differentiable joint attributed-graph embedding and clustering model / Imane Akdim, Loubna Mekouar, Youssef Iraqi, and Mohamed Nadif

Exploiting treatment similarities for enhanced multi-treatment uplift prediction / Nathan Le Boudec, Nicolas Voisine, and Bruno Crémilleux

Exceptional model residual mining, and three richer EMM description languages / Aniket Mishra, Cristiana Carbunaru, and Wouter Duivesteijn

Heterogeneous pattern sampling according to frequency / Rayane Lachache, Djawad Bekkoucha, Abdelkader Ouali, Bruno Crémilleux, Thi-Bich-Hanh Dao, and Christel Vrain

Drop the mask! GAMM – A taxonomy for graph attributes missing mechanisms / Richard Serrano, Baptiste Jeudy, Charlotte Laclau, and Christine Largeron

CARTGen-IR : Synthetic tabular data generation for imbalanced regression / António Pedro Pinheiro and Rita P. Ribeiro

Conditional motif-based graph convolutional network for anomaly detection in the waste management network / Sara Oliveira, Shazia Tabassum, João Gama, Ana Garcia, and Pedro Santana

Fair multilayer community detection : A research agenda / Georgios Panayiotou and Matteo Magnani

An end-to-end framework for measuring product cannibalization using multivariate time series forecasting / Daniela Martins and Luís Miguel Matos

The window dilemma : Why concept drift detection is ill-posed / Brandon Gower-Winter, Misja Groen, and Georg Krempl

Toward improved time-series explanations for federated learning in healthcare / Christoph Düsing and Philipp Cimiano

Grasynda : Graph-based synthetic time series generation / Luis Amorim, Moisés Santos, Paulo J. Azevedo, Carlos Soares, and Vitor Cerqueira

Predicting and interpolating spatiotemporal environmental data : A case study of groundwater storage in Bangladesh / Anna Pazola, Mohammad Shamsudduha, Richard G. Taylor, and Allan Tucker

Combining dynamic Bayesian networks with population dynamics modelling to predict breeding success in seabirds / Alan Anderson, Neda Trifonova, Beth Scott, and Allan Tucker

Bridging forecast accuracy and inventory KPIs : A simulation-based software framework / So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara, and Slawomir Nowaczyk

LeTMEMo : Leveraging topic modeling for evaluating (closed-vocabulary) models / Vu Minh Hoang Dang and Rakesh M. Verma

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (Springer Nature Link, viewed April 21, 2026)

Other Format:

Print version International Symposium on Intelligent Data Analysis (24th : 2026 : Leiden, Netherlands) Advances in intelligent data analysis XXIV

ISBN:

9783032238337

3032238331

OCLC:

1586623560

Access Restriction:

Restricted for use by site license