Francisco Fernández-Navarro

Associate Professor

Universidad Loyola Andalucía

Spain

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Francisco Fernández-Navarro is an Associate Professor at Universidad Loyola Andalucía in Spain. His research encompasses a variety of domains, including ensemble modeling, financial forecasting, and applications of artificial intelligence in legal contexts. Recent publications highlight his work on portfolio optimization, the impact of COVID-19 on financial markets, and the analysis of intimate partner femicide risk factors.

Articles (17)

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2025

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2023

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2021

Collaborators (8)

Nerea Almeda

PhD, Assistant Professor

Universidad Loyola Andalucía

SPAIN

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Thomas Ashley

Profesor Ayudante

Universidad Loyola Andalucía

SPAIN

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Isabel Lopez-Cobo

Senior Lecturer

Universidad de Sevilla

SPAIN

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António Teixeira

Professor Associado / Associate Professor

Universidade Aberta

PORTUGAL

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David Becerra-Alonso

Associate Professor

Universidad Loyola Andalucía

SPAIN

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Antonio Manuel Durán Rosal

Associate Professor

Universidad Loyola Andalucía

SPAIN

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Mariano Carbonero-Ruz

Universidad Loyola Andalucía

SPAIN

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MARIA JOSE VAZQUEZ-DE FRANCISCO

Lecturer

Universidad Loyola Andalucía

SPAIN

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Francisco Fernández-Navarro

Research Interests

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Articles (17)

Global and Diverse Ensemble model for regression

Enhancing financial time series forecasting through topological data analysis

A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks

Artificial intelligence extracts key insights from legal documents to predict intimate partner femicide

Estimating ensemble weights for bagging regressors based on the mean–variance portfolio framework

A Comprehensive Analysis of Factors Associated with Intimate Partner Femicide: A Systematic Review

Risk Assessment Instruments for Intimate Partner Femicide: A Systematic Review

Accountancy as a meaningful work. Main determinants from a job quality and optimization algorithm approach

An experimental study on diversification in portfolio optimization[Formula presented]

COVID-19 impact on the Spanish stock exchange with mean-variance and diversification-based portfolios

Characterizing mathematics learning in Colombian higher distance education

Development and validation of a life skills evaluation tool for online learning based on the framework of the capability approach

Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models

Identifying key variables on the way to wellbeing in the transition from face-to-face to online higher education due to COVID-19: Evidence from the Q-sort technique

Mean squared variance portfolio: A mixed-integer linear programming formulation

Negative Correlation Hidden Layer for the Extreme Learning Machine

Promoting work Engagement in the Accounting Profession: a Machine Learning Approach

Collaborators (8)

Nerea Almeda

Thomas Ashley

Isabel Lopez-Cobo

António Teixeira

David Becerra-Alonso

Antonio Manuel Durán Rosal

Mariano Carbonero-Ruz

MARIA JOSE VAZQUEZ-DE FRANCISCO

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