IDA

Publications

2023

Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. IDA (2023)
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
Shapley Values with Uncertain Value Functions. IDA (2023)
Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy
LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models. IDA (2023)
Andrés F. Duque, Guy Wolf, Kevin R. Moon
Diffusion Transport Alignment. IDA (2023)
Jennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld
User Authentication via Multifaceted Mouse Movements and Outlier Exposure. IDA (2023)
Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. IDA (2023)
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. IDA (2023)
Mohamed Alami Chehboune, Rim Kaddah, Jesse Read
Transferable Deep Metric Learning for Clustering. IDA (2023)
Rianne Margaretha Schouten, Victoria Tascau, Gabriel G. Ziegler, Davide Casano, Marco Ardizzone, Michael-Angelos Erotokritou
Dropping Incomplete Records is (not so) Straightforward. IDA (2023)
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
On the Change of Decision Boundary and Loss in Learning with Concept Drift. IDA (2023)
Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani
Data-Centric Perspective on Explainability Versus Performance Trade-Off. IDA (2023)
Zhaozhen Xu, Nello Cristianini
QBERT: Generalist Model for Processing Questions. IDA (2023)
Irina Proskurina, Guillaume Metzler, Julien Velcin
The Other Side of Compression: Measuring Bias in Pruned Transformers. IDA (2023)
Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer
Spatial Graph Convolution Neural Networks for Water Distribution Systems. IDA (2023)
Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou
Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. IDA (2023)
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier
An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT. IDA (2023)
Andreas Theissler, Manuel Wengert, Felix Gerschner
ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection. IDA (2023)
Andraz Pelicon, Syrielle Montariol, Petra Kralj Novak
Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. IDA (2023)
Michael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann
Towards Data Science Design Patterns. IDA (2023)
Mira Ait Saada, Mohamed Nadif
Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. IDA (2023)
Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA (2023)
Maksim Koptelov, Albrecht Zimmermann, Patrice Boizumault, Ronan Bureau, Jean Luc Lamotte
Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data. IDA (2023)
Luis Galárraga
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings. IDA (2023)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Learning Permutation-Invariant Embeddings for Description Logic Concepts. IDA (2023)
Inês Martins, João S. Resende, João Gama
Online Influence Forest for Streaming Anomaly Detection. IDA (2023)
Luís Cunha, Carlos Soares, André Restivo, Luís F. Teixeira
GASTeN: Generative Adversarial Stress Test Networks. IDA (2023)
Arnaud Soulet
Should We Consider On-Demand Analysis in Scale-Free Networks? IDA (2023)
Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Geolet: An Interpretable Model for Trajectory Classification. IDA (2023)
Raphaël Chevasson, Charlotte Laclau, Christophe Gravier
Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection. IDA (2023)
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. IDA (2023)
David Schubert, Pritha Gupta, Marcel Wever
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. IDA (2023)
Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
Discovering Diverse Top-K Characteristic Lists. IDA (2023)
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. IDA (2023)
Ioanna Papagianni, Matthijs van Leeuwen
Discovering Rule Lists with Preferred Variables. IDA (2023)
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. IDA (2023)
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. IDA (2023)
Zhaozhen Xu, Zhijin Guo, Nello Cristianini
On Compositionality in Data Embedding. IDA (2023)
Loek Tonnaer, Mike Holenderski, Vlado Menkovski
Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations. IDA (2023)

volume 13876, 2023

Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12-14, 2023, Proceedings IDA 13876 (2023)

2022

volume 13205, 2022

Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings IDA 13205 (2022)