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ORCID20th IDA 2022: Rennes, France
- Tassadit Bouadi
, Élisa Fromont, Eyke Hüllermeier:
Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13205, Springer 2022, ISBN 978-3-031-01332-4 - Ekaterina Antonenko, Jesse Read:
Multi-modal Ensembles of Regressor Chains for Multi-output Prediction. 1-13 - H. Ambre Ayats, Peggy Cellier, Sébastien Ferré:
A Two-Step Approach for Explainable Relation Extraction. 14-25 - Yann Dauxais, Urchade Zaratiana, Matthieu Laneuville, Simon David Hernandez, Pierre Holat, Charlie Grosman:
Towards Automation of Topic Taxonomy Construction. 26-38 - Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama:
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. 39-52 - Lucile Dierckx, Mélanie Beauvois, Siegfried Nijssen:
Detection and Multi-label Classification of Bats. 53-65 - Yaroub Elloumi, Nesrine Abroug, Mohamed Hedi Bedoui:
End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network. 66-77 - Mohamed Fakhfakh, Bassem Bouaziz, Lotfi Chaâri, Faïez Gargouri:
Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks. 78-88 - Hadi Fanaee-T:
Tensor Completion Post-Correction. 89-101 - Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava:
s-LIME: Reconciling Locality and Fidelity in Linear Explanations. 102-114 - Maciej Grzenda:
Quantifying Changes in Predictions of Classification Models for Data Streams. 115-127 - Stefany Guarnizo, Ioanna Miliou, Panagiotis Papapetrou:
Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors. 128-142 - Dusan Hetlerovic, Lubos Popelínský, Pavel Brazdil, Carlos Soares, Fernando Freitas:
On Usefulness of Outlier Elimination in Classification Tasks. 143-156 - Fabian Hinder, Valerie Vaquet, Barbara Hammer:
Suitability of Different Metric Choices for Concept Drift Detection. 157-170 - Stefan Horoi, Jessie Huang, Bastian Rieck, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy:
Exploring the Geometry and Topology of Neural Network Loss Landscapes. 171-184 - Etienne Lehembre, Ronan Bureau, Bruno Crémilleux, Bertrand Cuissart, Jean Luc Lamotte, Alban Lepailleur, Abdelkader Ouali, Albrecht Zimmermann:
Selecting Outstanding Patterns Based on Their Neighbourhood. 185-198 - Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data. 199-211 - Toyah Overton, Allan Tucker, Tim James, Dimitar Hristozov:
dunXai: DO-U-Net for Explainable (Multi-label) Image Classification - Applications to Biomedical Images. 212-224 - Javier Perez Tobia, Phillip Braun, Apurva Narayan:
AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks. 225-236 - Yoeri Poels, Vlado Menkovski:
VAE-CE: Visual Contrastive Explanation Using Disentangled VAEs. 237-250 - Mina Rafla, Nicolas Voisine, Bruno Crémilleux:
Evaluation of Uplift Models with Non-Random Assignment Bias. 251-263 - Daniel Schuster, Emanuel Domnitsch, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
A Generic Trace Ordering Framework for Incremental Process Discovery. 264-277 - Nirbhaya Shaji, João Gama, Rita P. Ribeiro, Pedro Gomes:
Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph. 278-289 - Ammar Shaker, Francesco Alesiani, Shujian Yu:
Modular-Relatedness for Continual Learning. 290-301 - Nádia Soares, João F. Gonçalves, Raquel Vasconcelos, Rita P. Ribeiro:
Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles. 302-314 - Maximilian Stubbemann, Gerd Stumme:
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification. 315-326 - Joost F. van der Haar, Sander C. Nagelkerken, Igor G. Smit, Kjell van Straaten, Janneke A. Tack, Rianne Margaretha Schouten, Wouter Duivesteijn:
Efficient Subgroup Discovery Through Auto-Encoding. 327-340 - Stepan Veretennikov, Koen Minartz, Vlado Menkovski, Burcu Gumuscu, Jan de Boer:
Simulation of Scientific Experiments with Generative Models. 341-353 - Thomas Villmann, Daniel Staps, Jensun Ravichandran, Sascha Saralajew, Michael Biehl, Marika Kaden:
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation. 354-364 - Huiyao Wu, Maryam Tavakol:
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation. 365-377 - Wen-Chi Yang, Arcchit Jain, Luc De Raedt, Wannes Meert:
Parameter Learning in ProbLog with Annotated Disjunctions. 378-391 - Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy:
Semantic-Based Few-Shot Classification by Psychometric Learning. 392-403
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