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Intelligent Data Analysis

IDA

B

CORE rank

CORE rank (raw)

B

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

955

1997–2026

Papers per year

1997132 peak2026

IDA papers

955 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2023Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies.Maria Movin, Guilherme Dinis Junior, Jaakko Hollmn, Panagiotis Papapetrou
2023Translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification.Massimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Luca Sabatini, Francesco Sassi
2023User Authentication via Multifaceted Mouse Movements and Outlier Exposure.Jennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld
2023APs: A Proxemic Framework for Social Media Interactions Modeling and Analysis.Maxime Masson, Philippe Roose, Christian Sallaberry, Rodrigo Agerri, Marie-Nolle Bessagnet, Annig Le Parc-Lacayrelle
2023Online Influence Forest for Streaming Anomaly Detection.Ins Martins, Joo S. Resende, Joo Gama
2023Discovering Diverse Top-K Characteristic Lists.Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proena, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
2023An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT.Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier
2023Geolet: An Interpretable Model for Trajectory Classification.Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
2023Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data.Maksim Koptelov, Albrecht Zimmermann, Patrice Boizumault, Ronan Bureau, Jean Luc Lamotte
2023AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning.Zahra Kharazian, Mahmoud Rahat, Fbio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnsson
2023On the Change of Decision Boundary and Loss in Learning with Concept Drift.Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer
2023Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors.Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt
2023Shapley Values with Uncertain Value Functions.Raoul Heese, Sascha Mcke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
2023Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings.Luis Galrraga
2023Mind the Gap: Measuring Generalization Performance Across Multiple Objectives.Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter
2023Diffusion Transport Alignment.Andrs F. Duque, Guy Wolf, Kevin R. Moon
2023Learning Permutation-Invariant Embeddings for Description Logic Concepts.Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023GASTeN: Generative Adversarial Stress Test Networks.Lus Cunha, Carlos Soares, Andr Restivo, Lus F. Teixeira
2023LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models.Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy
2023Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection.Raphal Chevasson, Charlotte Laclau, Christophe Gravier
2023Transferable Deep Metric Learning for Clustering.Mohamed Alami Chehboune, Rim Kaddah, Jesse Read
2023Towards Data Science Design Patterns.Michael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann
2023Data-Centric Perspective on Explainability Versus Performance Trade-Off.Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani
2023Spatial Graph Convolution Neural Networks for Water Distribution Systems.Inaam Ashraf, Luca Hermes, Andr Artelt, Barbara Hammer
2022Semantic-Based Few-Shot Classification by Psychometric Learning.Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy
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