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ORCID21st IDA 2023: Louvain-la-Neuve, Belgium
- Bruno Crémilleux
, Sibylle Hess, Siegfried Nijssen:
Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings. Lecture Notes in Computer Science 13876, Springer 2023, ISBN 978-3-031-30046-2 - Mira Ait Saada, Mohamed Nadif:
Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. 1-14 - Mohamed Alami Chehboune, Rim Kaddah, Jesse Read:
Transferable Deep Metric Learning for Clustering. 15-28 - Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer:
Spatial Graph Convolution Neural Networks for Water Distribution Systems. 29-41 - Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani:
Data-Centric Perspective on Explainability Versus Performance Trade-Off. 42-54 - Michael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann:
Towards Data Science Design Patterns. 55-64 - Raphaël Chevasson, Charlotte Laclau, Christophe Gravier:
Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection. 65-76 - Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy:
LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models. 77-90 - Luís Cunha, Carlos Soares, André Restivo, Luís F. Teixeira:
GASTeN: Generative Adversarial Stress Test Networks. 91-102 - Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Learning Permutation-Invariant Embeddings for Description Logic Concepts. 103-115 - Andrés F. Duque, Guy Wolf, Kevin R. Moon:
Diffusion Transport Alignment. 116-129 - Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter:
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. 130-142 - Luis Galárraga:
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings. 143-155 - Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski:
Shapley Values with Uncertain Value Functions. 156-168 - Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt:
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. 169-181 - Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Change of Decision Boundary and Loss in Learning with Concept Drift. 182-194 - Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon:
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. 195-207 - Maksim Koptelov, Albrecht Zimmermann, Patrice Boizumault, Ronan Bureau, Jean Luc Lamotte:
Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data. 208-221 - Massimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Luca Sabatini, Francesco Sassi:
Translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification. 222-235 - Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni:
Geolet: An Interpretable Model for Trajectory Classification. 236-248 - Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier:
An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT. 249-261 - Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos:
Discovering Diverse Top-K Characteristic Lists. 262-273 - Inês Martins, João S. Resende, João Gama:
Online Influence Forest for Streaming Anomaly Detection. 274-286 - Maxime Masson, Philippe Roose, Christian Sallaberry, Rodrigo Agerri, Marie-Noëlle Bessagnet, Annig Le Parc-Lacayrelle:
APs: A Proxemic Framework for Social Media Interactions Modeling and Analysis. 287-299 - Jennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld:
User Authentication via Multifaceted Mouse Movements and Outlier Exposure. 300-313 - Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou:
Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. 314-326 - Maedeh Nasri, Zhizhou Fang, Mitra Baratchi, Gwenn Englebienne, Shenghui Wang, Alexander Koutamanis, Carolien Rieffe:
A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data. 327-339 - Ioanna Papagianni, Matthijs van Leeuwen:
Discovering Rule Lists with Preferred Variables. 340-352 - Andraz Pelicon, Syrielle Montariol, Petra Kralj Novak:
Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. 353-365 - Irina Proskurina, Guillaume Metzler, Julien Velcin:
The Other Side of Compression: Measuring Bias in Pruned Transformers. 366-378 - Rianne Margaretha Schouten, Victoria Tascau, Gabriel G. Ziegler, Davide Casano, Marco Ardizzone, Michael-Angelos Erotokritou:
Dropping Incomplete Records is (not so) Straightforward. 379-391 - David Schubert, Pritha Gupta, Marcel Wever:
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. 392-405 - Arnaud Soulet:
Should We Consider On-Demand Analysis in Scale-Free Networks? 406-418 - Andreas Theissler, Manuel Wengert, Felix Gerschner:
ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection. 419-432 - Loek Tonnaer, Mike Holenderski, Vlado Menkovski:
Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations. 433-445 - Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet:
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. 446-458 - Vishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rüdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou:
A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. 459-471 - Zhaozhen Xu, Nello Cristianini:
QBERT: Generalist Model for Processing Questions. 472-483 - Zhaozhen Xu, Zhijin Guo, Nello Cristianini:
On Compositionality in Data Embedding. 484-496
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