Antonio Lopez-Martinez-Carrasco

According to our database, Antonio Lopez-Martinez-Carrasco authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

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, June, 2023

Discovering Diverse Top-K Characteristic Lists.

Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

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

Proceedings of the Artificial Intelligence in Medicine, 2023

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

Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm.

Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos, Bernardo Cánovas-Segura

Proceedings of the Artificial Intelligence in Medicine, 2021

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

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 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

Proceedings of the Artificial Intelligence in Medicine, 2019

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

Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019