Table of Contents

• Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative StudyMira Ait Saada, Mohamed Nadif. 1-14 [doi]
• Transferable Deep Metric Learning for ClusteringMohamed Alami Chehboune, Rim Kaddah, Jesse Read. 15-28 [doi]
• Spatial Graph Convolution Neural Networks for Water Distribution SystemsInaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer. 29-41 [doi]
• Data-Centric Perspective on Explainability Versus Performance Trade-OffAmirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani. 42-54 [doi]
• Towards Data Science Design PatternsMichael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann. 55-64 [doi]
• Diverse Paraphrasing with Insertion Models for Few-Shot Intent DetectionRaphaël Chevasson, Charlotte Laclau, Christophe Gravier. 65-76 [doi]
• LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate ModelsDennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy. 77-90 [doi]
• GASTeN: Generative Adversarial Stress Test NetworksLuís Cunha, Carlos Soares, André Restivo, Luís F. Teixeira 0001. 91-102 [doi]
• Learning Permutation-Invariant Embeddings for Description Logic ConceptsCaglar Demir, Axel-Cyrille Ngonga Ngomo. 103-115 [doi]
• Diffusion Transport AlignmentAndrés F. Duque, Guy Wolf, Kevin R. Moon. 116-129 [doi]
• Mind the Gap: Measuring Generalization Performance Across Multiple ObjectivesMatthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter. 130-142 [doi]
• Effects of Locality and Rule Language on Explanations for Knowledge Graph EmbeddingsLuis Galárraga. 143-155 [doi]
• Shapley Values with Uncertain Value FunctionsRaoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski. 156-168 [doi]
• Revised Conditional t-SNE: Looking Beyond the Nearest NeighborsEdith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt. 169-181 [doi]
• On the Change of Decision Boundary and Loss in Learning with Concept DriftFabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer. 182-194 [doi]
• AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer LearningZahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon. 195-207 [doi]
• Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL DataMaksim Koptelov, Albrecht Zimmermann, Patrice Boizumault, Ronan Bureau, Jean Luc Lamotte. 208-221 [doi]
• Translated Texts Under the Lens: From Machine Translation Detection to Source Language IdentificationMassimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Luca Sabatini, Francesco Sassi. 222-235 [doi]
• Geolet: An Interpretable Model for Trajectory ClassificationCristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni. 236-248 [doi]
• An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERTThibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier. 249-261 [doi]
• Discovering Diverse Top-K Characteristic ListsAntonio Lopez Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos. 262-273 [doi]
• Online Influence Forest for Streaming Anomaly DetectionInês Martins, João S. Resende, João Gama 0001. 274-286 [doi]
• APs: A Proxemic Framework for Social Media Interactions Modeling and AnalysisMaxime Masson, Philippe Roose, Christian Sallaberry, Rodrigo Agerri, Marie-Noëlle Bessagnet, Annig Le Parc-Lacayrelle. 287-299 [doi]
• User Authentication via Multifaceted Mouse Movements and Outlier ExposureJennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld. 300-313 [doi]
• Explaining Black Box Reinforcement Learning Agents Through Counterfactual PoliciesMaria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou. 314-326 [doi]
• A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory DataMaedeh Nasri, Zhizhou Fang, Mitra Baratchi, Gwenn Englebienne, Shenghui Wang, Alexander Koutamanis, Carolien Rieffe. 327-339 [doi]
• Discovering Rule Lists with Preferred VariablesIoanna Papagianni, Matthijs van Leeuwen. 340-352 [doi]
• Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before LabelingAndraz Pelicon, Syrielle Montariol, Petra Kralj Novak. 353-365 [doi]
• The Other Side of Compression: Measuring Bias in Pruned TransformersIrina Proskurina, Guillaume Metzler, Julien Velcin. 366-378 [doi]
• Dropping Incomplete Records is (not so) StraightforwardRianne Margaretha Schouten, Victoria Tascau, Gabriel G. Ziegler, Davide Casano, Marco Ardizzone, Michael-Angelos Erotokritou. 379-391 [doi]
• Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised DatasetsDavid Schubert, Pritha Gupta, Marcel Wever. 392-405 [doi]
• Should We Consider On-Demand Analysis in Scale-Free Networks?Arnaud Soulet. 406-418 [doi]
• ROCKAD: Transferring ROCKET to Whole Time Series Anomaly DetectionAndreas Theissler, Manuel Wengert, Felix Gerschner. 419-432 [doi]
• Out-of-Distribution Generalisation with Symmetry-Based Disentangled RepresentationsLoek Tonnaer, Mike Holenderski, Vlado Menkovski. 433-445 [doi]
• Forecasting Electricity Prices: An Optimize Then Predict-Based ApproachLéonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet. 446-458 [doi]
• A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA DataVishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rüdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou. 459-471 [doi]
• QBERT: Generalist Model for Processing QuestionsZhaozhen Xu, Nello Cristianini. 472-483 [doi]
• On Compositionality in Data EmbeddingZhaozhen Xu, Zhijin Guo, Nello Cristianini. 484-496 [doi]