Personal / Academic
Research
Selected papers are highlighted first, followed by a fuller publication list.
Selected PublicationsToggle
Pattern Recognition, 180, 114450
Conformal Recursive Feature Elimination
M. López-De-Castro, A. García-Galindo, R. Armañanzas
2026
Conformal feature-selection method that improves prediction-set efficiency and subset stability over classical RFE while maintaining empirical coverage close to the nominal level.
DOI / linkBioinformatics, 41(10), btaf521
Conformal Inference for Reliable scRNA-seq Annotation
M. López-De-Castro, A. García-Galindo, R. Armañanzas
2025
Conformal approach for reliable single-cell RNA sequencing annotation with uncertainty awareness.
DOI / linkAgricultural and Forest Meteorology, 350, 109989
Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study
M. López-De-Castro, A. Trucchia, U. Morra-di-Cella, et al.
2024
Comparative study of fire-spotting models for operational wildfire simulation tools.
DOI / linkRemote Sensing Applications: Society and Environment, 27, 100810
A high-resolution fuel type mapping procedure based on satellite imagery and neural networks: Updating fuel maps for wildfire simulators
M. López-De-Castro, D. Prieto-Herráez, M. I. Asensio-Sevilla, G. Pagnini
2022
High-resolution satellite-plus-neural network pipeline to update fuel maps for wildfire simulation.
DOI / link
Fuller listToggle
Pattern Recognition, 180, 114450
Conformal Recursive Feature Elimination
M. López-De-Castro, A. García-Galindo, R. Armañanzas
2026
Conformal feature-selection method that improves prediction-set efficiency and subset stability over classical RFE while maintaining empirical coverage close to the nominal level.
DOI / linkPatterns (in press)
Estimating the accuracy of selective classifiers without labels using Venn-Abers predictors
A. García-Galindo, M. López-De-Castro, R. Armañanzas, T. Löfström
2026
Label-free estimation of the accuracy of selective classifiers using Venn-Abers predictors.
Artificial Intelligence in Medicine (AIME 2026), LNAI 16749, 56-61
Bidirectional Floating Feature Selection Guided by Uncertainty Quantification
M. López-De-Castro, J. González-Gomariz, A. García-Galindo, K. Ni, F. Abbas-Aghababazadeh, B. Haibe-Kains, R. Armañanzas
2026
Conformal Bidirectional Floating Search identifies compact feature subsets that reduce predictive uncertainty, with applications to reliable biomarker discovery from immunotherapy transcriptomic data.
DOI / linkProceedings of COPA 2026 (PMLR 329), 439-462
Performance Estimation in Hybrid Interpretable Models with Venn Predictors
A. García-Galindo, M. López-De-Castro, R. Armañanzas, N. Ståhl, T. Löfström
2026
Venn prediction to estimate, without ground-truth labels, the accuracy of hybrid interpretable models, both for the model as a whole and for each of its components.
DOI / linkBioinformatics, 41(10), btaf521
Conformal Inference for Reliable scRNA-seq Annotation
M. López-De-Castro, A. García-Galindo, R. Armañanzas
2025
Conformal approach for reliable single-cell RNA sequencing annotation with uncertainty awareness.
DOI / linkMachine Learning, 114(27)
Fair prediction sets through multi-objective hyperparameter optimization
A. García-Galindo, M. López-De-Castro, R. Armañanzas
2025
Fairness-oriented conformal prediction sets through multi-objective optimization.
DOI / linkAgricultural and Forest Meteorology, 350, 109989
Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study
M. López-De-Castro, A. Trucchia, U. Morra-di-Cella, et al.
2024
Comparative study of fire-spotting models for operational wildfire simulation tools.
DOI / linkJournal for ImmunoTherapy of Cancer, 12
1197 Harnessing the cancer immunity cycle via machine learning models to generate novel strategies for personalized cancer therapy
F. A. Aghababazadeh, L. Alonso, M. López-De-Castro, et al.
2024
Machine-learning-based strategies for personalizing cancer therapy through immunity-cycle modeling.
DOI / linkProceedings of COPA 2024 (PMLR 230)
Conformal Stability Measure for Feature Selection Algorithms
M. López-De-Castro, A. García-Galindo, R. Armañanzas
2024
Stability measure for feature selection algorithms under conformal prediction settings.
DOI / linkProceedings of COPA 2024 (PMLR 230)
Multi-Class Classification With Reject Option and Performance Guarantees Using Conformal Prediction
A. García-Galindo, M. López-De-Castro, R. Armañanzas
2024
Conformal framework for multiclass classification with reject option and guarantees.
DOI / linkProceedings of COPA 2023 (PMLR 204)
An uncertainty-aware sequential approach for predicting response to neoadjuvant therapy in breast cancer
A. García-Galindo, M. López-De-Castro, R. Armañanzas
2023
Uncertainty-aware sequential modeling for neoadjuvant therapy response prediction in breast cancer.
DOI / linkRemote Sensing Applications: Society and Environment, 27, 100810
A high-resolution fuel type mapping procedure based on satellite imagery and neural networks: Updating fuel maps for wildfire simulators
M. López-De-Castro, D. Prieto-Herráez, M. I. Asensio-Sevilla, G. Pagnini
2022
High-resolution satellite-plus-neural network pipeline to update fuel maps for wildfire simulation.
DOI / linkEGU General Assembly 2022, EGU22-4600 (conference abstract)
A comparison study between fire-spotting models by a wildfire simulator based on a cellular automata approach
M. López-De-Castro, A. Trucchia, P. Fiorucci, G. Pagnini
2022
Conference abstract comparing fire-spotting models implemented in a cellular-automata wildfire simulator.
DOI / linkUnder review
Enhanced Feature Selection via Strangeness Minimization and Conditional Mutual Information Maximization
M. López-De-Castro, A. García-Galindo, R. Armañanzas
2025
Feature selection strategy combining strangeness minimization with conditional mutual information maximization.
Neurocomputing (under review)
Post-processing bias mitigation with fairness guarantees using risk control
A. García-Galindo, M. López-De-Castro, R. Armañanzas
2026
Post-processing method for bias mitigation with fairness guarantees obtained through risk control.