Jose Manuel
Juarez Herrero
Profesores Titulares de Universidad
Antonio
Lopez Martinez Carrasco
Investigador Licenciado
Publicaciones en las que colabora con Antonio Lopez Martinez Carrasco (11)
2024
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A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies
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Subgroups: A Python library for Subgroup Discovery
SoftwareX, Vol. 28
2023
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Discovering Diverse Top-K Characteristic Lists
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate
Algorithms, Vol. 16, Núm. 6
2021
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A methodology based on Trace-based clustering for patient phenotyping
Knowledge-Based Systems, Vol. 232
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Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019
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Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Improving interpretable prediction models for antimicrobial resistance
Proceedings - IEEE Symposium on Computer-Based Medical Systems
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Interpretable patient subgrouping using trace-based clustering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018
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Metodología basada en agrupamiento y visualizaci ón para el fenotipado de pacientes
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España