Where has been this library used?

This library has been used in the following projects and scientific papers so far:

Projects

  1. ASTUTENESS: AI-Driven Tools In Healthcare: A Visual Guideline for Trustworthy Treatment Decision Support Systems (grant agreement No 101035821): supported by the European University for Well-being - Research (EUniWell - Research) and by the European Union’s Horizon 2020 research and innovation programme.

  2. GRALENIA (Ref. 2021/C005/00150055): supported by the Spanish Ministry of Economic Affairs and Digital Transformation, the Spanish Secretariat of State for Digitization and Artificial Intelligence, Red.es and by the NextGenerationEU funding.

  3. CONFAINCE (Ref. PID2021-122194OB-I00): supported by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, by the “European Union”.

Scientific papers

  1. Antonio Lopez-Martinez-Carrasco, Jose Juarez, Manuel Campos, and Bernardo Canovas-Segura. “A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping”. In: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2, 2024, pp. 346-353. DOI: http://dx.doi.org/10.5220/0012321200003657

  2. Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, and Manuel Campos. “Novel approach for phenotyping based on diverse top-k subgroup lists”. In: 21st International Conference on Artificial Intelligence in Medicine, 2023, pp. 45-50. DOI: https://doi.org/10.1007/978-3-031-34344-5_6

  3. Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, and Manuel Campos. “Discovering Diverse Top-K Characteristic Lists”. In: Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, 2023, pp. 262-273. DOI: https://doi.org/10.1007/978-3-031-30047-9_21

  4. Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos, and Bernardo Canovas-Segura. “VLSD - An efficient Subgroup Discovery algorithm based on Equivalence Classes and Optimistic Estimate”. In: Algorithms, 16 (2023), p. 274. DOI: https://doi.org/10.3390/a16060274