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
Most published authors
IDA papers
955 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2023 | Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. | Maria Movin, Guilherme Dinis Junior, Jaakko Hollmn, Panagiotis Papapetrou |
| 2023 | Translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification. | Massimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Luca Sabatini, Francesco Sassi |
| 2023 | User Authentication via Multifaceted Mouse Movements and Outlier Exposure. | Jennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld |
| 2023 | APs: 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 |
| 2023 | Online Influence Forest for Streaming Anomaly Detection. | Ins Martins, Joo S. Resende, Joo Gama |
| 2023 | Discovering Diverse Top-K Characteristic Lists. | Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proena, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos |
| 2023 | An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT. | Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier |
| 2023 | Geolet: An Interpretable Model for Trajectory Classification. | Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni |
| 2023 | Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data. | Maksim Koptelov, Albrecht Zimmermann, Patrice Boizumault, Ronan Bureau, Jean Luc Lamotte |
| 2023 | AID4HAI: 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 |
| 2023 | On the Change of Decision Boundary and Loss in Learning with Concept Drift. | Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer |
| 2023 | Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. | Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt |
| 2023 | Shapley Values with Uncertain Value Functions. | Raoul Heese, Sascha Mcke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski |
| 2023 | Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings. | Luis Galrraga |
| 2023 | Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. | Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter |
| 2023 | Diffusion Transport Alignment. | Andrs F. Duque, Guy Wolf, Kevin R. Moon |
| 2023 | Learning Permutation-Invariant Embeddings for Description Logic Concepts. | Caglar Demir, Axel-Cyrille Ngonga Ngomo |
| 2023 | GASTeN: Generative Adversarial Stress Test Networks. | Lus Cunha, Carlos Soares, Andr Restivo, Lus F. Teixeira |
| 2023 | LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models. | Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy |
| 2023 | Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection. | Raphal Chevasson, Charlotte Laclau, Christophe Gravier |
| 2023 | Transferable Deep Metric Learning for Clustering. | Mohamed Alami Chehboune, Rim Kaddah, Jesse Read |
| 2023 | Towards Data Science Design Patterns. | Michael R. Berthold, Dashiell Brookhart, Schalk Gerber, Satoru Hayasaka, Maarit Widmann |
| 2023 | Data-Centric Perspective on Explainability Versus Performance Trade-Off. | Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani |
| 2023 | Spatial Graph Convolution Neural Networks for Water Distribution Systems. | Inaam Ashraf, Luca Hermes, Andr Artelt, Barbara Hammer |
| 2022 | Semantic-Based Few-Shot Classification by Psychometric Learning. | Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering