Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods. - Bernardo Cánovas-Segura; Antonio Morales Nicolás; Antonio López Martínez-Carrasco; Manuel Campos; Jose M. Juarez; Lucía López-Rodríguez; Francisco Palacios (KR4HC/ProHealth/TEAAM@AIME, 2019)

Interpretable Patient Subgrouping Using Trace-Based Clustering. - Antonio López Martínez-Carrasco; Jose M. Juarez; Manuel Campos; Antonio Morales Nicolás; Francisco Palacios; Lucía López-Rodríguez (AIME, 2019)

Improving Interpretable Prediction Models for Antimicrobial Resistance. - Bernardo Cánovas-Segura; Antonio Morales Nicolás; Antonio López Martínez-Carrasco; Manuel Campos; Jose M. Juarez; Lucía López-Rodríguez; Francisco Palacios (CBMS, 2019)

Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm. - Antonio Lopez-Martinez-Carrasco; Jose M. Juarez; Manuel Campos; Bernardo Cánovas-Segura (AIME, 2021)

A methodology based on Trace-based clustering for patient phenotyping. - Antonio Lopez-Martinez-Carrasco; Jose M. Juarez; Manuel Campos; Bernardo Cánovas-Segura (Knowl. Based Syst., 2021)

Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists. - Antonio Lopez-Martinez-Carrasco; Hugo Manuel Proença; Jose M. Juarez; Matthijs van Leeuwen; Manuel Campos (AIME, 2023)

Discovering Diverse Top-K Characteristic Lists. - Antonio Lopez-Martinez-Carrasco; Hugo Manuel Proença; Jose M. Juarez; Matthijs van Leeuwen; Manuel Campos (IDA, 2023)

VLSD - An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate. - Antonio Lopez-Martinez-Carrasco; Jose M. Juarez; Manuel Campos; Bernardo Cánovas-Segura (Algorithms, 2023)

A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping. - Antonio Lopez-Martinez-Carrasco; Jose M. Juarez; Manuel Campos; Bernardo Cánovas-Segura (BIOSTEC (2), 2024)

Subgroups: A Python library for Subgroup Discovery. - Antonio Lopez-Martinez-Carrasco; Jose M. Juarez; Manuel Campos; Francisco Mora-Caselles (SoftwareX, 2024)

Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery. - Antonio Lopez-Martinez-Carrasco; Hugo Manuel Proença; Jose M. Juarez; Matthijs van Leeuwen; Manuel Campos (Artif. Intell. Medicine, 2025)

Phenoflow-ML: A next-generation phenotyping framework to capture ML-based phenotypes. - Antonio Lopez-Martinez-Carrasco (SoftwareX, 2025)