Research

Personal / Academic

Research

Selected papers are highlighted first, followed by a fuller publication list.

Selected PublicationsToggle

Bioinformatics, 41(10), btaf521
Conformal Inference for Reliable scRNA-seq Annotation
M. Lopez-De-Castro, A. Garcia-Galindo, R. Armananzas
2025
Conformal approach for reliable single-cell RNA sequencing annotation with uncertainty awareness.
DOI / link
UNDER REVIEW
Enhanced Feature Selection via Strangeness Minimization and Conditional Mutual Information Maximization
M. Lopez-De-Castro, A. Garcia-Galindo, R. Armananzas
2025
Feature selection strategy combining strangeness minimization with conditional mutual information maximization.
UNDER REVIEW
Conformal Recursive Feature Elimination
M. Lopez-De-Castro, A. Garcia-Galindo, R. Armananzas
2025
Recursive feature elimination framework grounded on conformal prediction principles.
DOI / link
Agricultural and Forest Meteorology, 350, 109989
Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study
M. Lopez-De-Castro, A. Trucchia, U. Morra-di-Cella, et al.
2024
Comparative study of fire-spotting models for operational wildfire simulation tools.
DOI / link
Remote 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. Lopez-De-Castro, D. Prieto-Herraez, 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

Bioinformatics, 41(10), btaf521
Conformal Inference for Reliable scRNA-seq Annotation
M. Lopez-De-Castro, A. Garcia-Galindo, R. Armananzas
2025
Conformal approach for reliable single-cell RNA sequencing annotation with uncertainty awareness.
DOI / link
UNDER REVIEW
Enhanced Feature Selection via Strangeness Minimization and Conditional Mutual Information Maximization
M. Lopez-De-Castro, A. Garcia-Galindo, R. Armananzas
2025
Feature selection strategy combining strangeness minimization with conditional mutual information maximization.
UNDER REVIEW
Conformal Recursive Feature Elimination
M. Lopez-De-Castro, A. Garcia-Galindo, R. Armananzas
2025
Recursive feature elimination framework grounded on conformal prediction principles.
DOI / link
Agricultural and Forest Meteorology, 350, 109989
Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study
M. Lopez-De-Castro, A. Trucchia, U. Morra-di-Cella, et al.
2024
Comparative study of fire-spotting models for operational wildfire simulation tools.
DOI / link
Remote 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. Lopez-De-Castro, D. Prieto-Herraez, M. I. Asensio-Sevilla, G. Pagnini
2022
High-resolution satellite-plus-neural network pipeline to update fuel maps for wildfire simulation.
DOI / link
Machine Learning, 114(27)
Fair prediction sets through multi-objective hyperparameter optimization
A. Garcia-Galindo, M. Lopez-De-Castro, R. Armananzas
2025
Fairness-oriented conformal prediction sets through multi-objective optimization.
DOI / link
Journal 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. Lopez-De-Castro, et al.
2024
Machine-learning-based strategies for personalizing cancer therapy through immunity-cycle modeling.
DOI / link
Proceedings of COPA 2024 (PMLR 230)
Conformal Stability Measure for Feature Selection Algorithms
M. Lopez-De-Castro, A. Garcia-Galindo, R. Armananzas
2024
Stability measure for feature selection algorithms under conformal prediction settings.
DOI / link
Proceedings of COPA 2024 (PMLR 230)
Multi-Class Classification With Reject Option and Performance Guarantees Using Conformal Prediction
A. Garcia-Galindo, M. Lopez-De-Castro, R. Armananzas
2024
Conformal framework for multiclass classification with reject option and guarantees.
DOI / link
Proceedings of COPA 2023 (PMLR 204)
An uncertainty-aware sequential approach for predicting response to neoadjuvant therapy in breast cancer
A. Garcia-Galindo, M. Lopez-De-Castro, R. Armananzas
2023
Uncertainty-aware sequential modeling for neoadjuvant therapy response prediction in breast cancer.
DOI / link

Conformal Inference for Reliable scRNA-seq Annotation

Enhanced Feature Selection via Strangeness Minimization and Conditional Mutual Information Maximization

Conformal Recursive Feature Elimination

Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study

A high-resolution fuel type mapping procedure based on satellite imagery and neural networks: Updating fuel maps for wildfire simulators

Conformal Inference for Reliable scRNA-seq Annotation

Enhanced Feature Selection via Strangeness Minimization and Conditional Mutual Information Maximization

Conformal Recursive Feature Elimination

Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study

A high-resolution fuel type mapping procedure based on satellite imagery and neural networks: Updating fuel maps for wildfire simulators

Fair prediction sets through multi-objective hyperparameter optimization

1197 Harnessing the cancer immunity cycle via machine learning models to generate novel strategies for personalized cancer therapy

Conformal Stability Measure for Feature Selection Algorithms

Multi-Class Classification With Reject Option and Performance Guarantees Using Conformal Prediction

An uncertainty-aware sequential approach for predicting response to neoadjuvant therapy in breast cancer