José García-Nieto

Profesor Titular (Associate Professor)

University of Malaga

Spain

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About

José García-Nieto is an Associate Professor at Universidad de Málaga, specializing in data-driven approaches for biomedical applications and machine learning. His recent research focuses on methodologies for gene regulatory networks, including exhaustive biclustering and model-agnostic explanation techniques. Additionally, he explores feature selection and analysis in high-dimensional medical datasets, contributing to advancements in efficient vehicle driving analysis.

Articles (18)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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SPAIN

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Antonio J. Nebro

University of Malaga

SPAIN

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Laetitia Jourdan

Professor

Université de Lille

FRANCE

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Maria del Mar Roldan-Garcia

Profesor Contratado Doctor

University of Malaga

SPAIN

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José García-Nieto

Research Interests

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About

Articles (18)

Multifaceted evolution focused on maximal exploitation of domain knowledge for the consensus inference of Gene Regulatory Networks.

Model-agnostic local explanation: Multi-objective genetic algorithm explainer

Exhaustive biclustering driven by self-learning evolutionary approach for biomedical data

Data-Driven Approaches for Efficient Vehicle Driving Analysis: A Survey

Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository

Multi-objective context-guided consensus of a massive array of techniques for the inference of Gene Regulatory Networks

Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets

Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset

GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks

GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks

e-LION: Data integration semantic model to enhance predictive analytics in e-Learning

A Semantic Model for Enhancing Data-Driven Open Banking Services

Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset

Automatic frequency-based feature selection using discrete weighted evolution strategy

Semantic modelling of Earth Observation remote sensing

A Service for Flexible Management and Analysis of Heterogeneous Clinical Data

On the Use of Explainable Artificial Intelligence for the Differential Diagnosis of Pigmented Skin Lesions

TITAN: A knowledge-based platform for Big Data workflow management

Collaborators (8)

Cristóbal Barba González

Sandro Hurtado Requena

Ismael Navas-Delgado

Elisa Oltra

Hossein Nematzadeh

Antonio J. Nebro

Laetitia Jourdan

Maria del Mar Roldan-Garcia

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