Miguel Garcia-Torres

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Assistant Professor (Tenure Track)

Universidad Pablo de Olavide

Spain

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About

Dr. Miguel Garcia-Torres is an Assistant Professor (Tenure Track) at Universidad Pablo de Olavide in Spain. His research areas include data mining, feature selection, and applications of machine learning in healthcare and education. Recent publications reflect his focus on multivariate analysis, natural language processing, and IoT security in healthcare. Dr. Garcia-Torres actively contributes to addressing data gaps and enhancing methodologies in various domains.

Recent Grants

Grant: Close

Desarrollo de un sistema de vigilancia para identificación de casos probables de COVID-19

Open Date: 2020-08-01

Close Date: 2021-02-01

Grant: Close

Análisis de la eficiencia energética en edificios no residenciales mediante técnicas metaheurísticas y de inteligencia artificial

Open Date: 2020-06-01

Close Date: 2021-11-01

Grant: Close

Detección automática de retinopatía diabética utilizando algoritmos neuro-evolutivos

Open Date: 2020-06-01

Close Date: 2021-11-01

Grant: Close

Astroestadística

Open Date: 2015-09-01

Close Date: 2017-09-01

Articles (16)

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2026

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2021

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2021

Collaborators (8)

Angel Berihuete

Profesor Contratado Doctor

Universidad de Cádiz

SPAIN

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David Becerra-Alonso

Associate Professor

Universidad Loyola Andalucía

SPAIN

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Ana Ulla

Universidade de Vigo

SPAIN

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Francisco Antonio Gomez-Vela

Universidad Pablo de Olavide

SPAIN

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Hugh Jones

University of Hertfordshire

UNITED KINGDOM

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Aurelio López-Fernández

Assistant Professor

Universidad Pablo de Olavide

SPAIN

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Federico Divina

professor

Universidad Pablo de Olavide

SPAIN

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Khalid Nazim Abdul Sattar

SAUDI ARABIA

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Miguel Garcia-Torres

Research Interests

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About

Recent Grants

Articles (16)

RFMSU: A multivariate symmetrical uncertainty-based random forest

Data Mining for Enhancing Learning and Assessment to a Microcompetence-Based Methodology in Higher Education

Mammography reporting dataset with BI-RADS system for natural language processing applications: Addressing public data gaps in Spanish

Feature selection for high-dimensional data using a multivariate search space reduction strategy based scatter search

Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach

Feature selection: a perspective on inter-attribute cooperation

Large‐scale system identification using self‐adaptive penguin search algorithm

Dataset of fundus images for the diagnosis of ocular toxoplasmosis

Ultracool dwarfs in Gaia DR3

Promoting Information Privacy Protection Awareness for Internet of Things (IoT)

Distribution level electric current consumption and meteorological data set of the east region of Paraguay

Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study

Measuring Interactions in Categorical Datasets Using Multivariate Symmetrical Uncertainty

Redundancy Is Not Necessarily Detrimental in Classification Problems

A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images

Collaborators (8)

Angel Berihuete

David Becerra-Alonso

Ana Ulla

Francisco Antonio Gomez-Vela

Hugh Jones

Aurelio López-Fernández

Federico Divina

Khalid Nazim Abdul Sattar

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