Emilio Serrano

Emilio Serrano

Universidad Politécnica de Madrid

H-index: 19

Europe-Spain

About Emilio Serrano

Emilio Serrano, With an exceptional h-index of 19 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidad Politécnica de Madrid, specializes in the field of Machine learning, Agent based social simulation, Social network analysis, Ambient Intelligence, Multi-agent systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neurosymbolic system profiling: A template-based approach

Mitigating bias in artificial intelligence: Fair data generation via causal models for transparent and explainable decision-making

Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks

A multivariable sensor-agnostic framework for spatio-temporal air quality forecasting based on Deep Learning

A Review of Bias and Fairness in Artificial Intelligence

Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence

GAMIFICA-CONTINUOUS LEARNING THROUGH GAMIFICATION MECHANISMS FOR MACHINE LEARNING

Enhancing drug repurposing on graphs by integrating drug molecular structure as feature

Emilio Serrano Information

University

Position

Department of Artificial Intelligence Ontology Engineering Group

Citations(all)

1003

Citations(since 2020)

444

Cited By

786

hIndex(all)

19

hIndex(since 2020)

11

i10Index(all)

31

i10Index(since 2020)

13

Email

University Profile Page

Universidad Politécnica de Madrid

Google Scholar

View Google Scholar Profile

Emilio Serrano Skills & Research Interests

Machine learning

Agent based social simulation

Social network analysis

Ambient Intelligence

Multi-agent systems

Top articles of Emilio Serrano

Title

Journal

Author(s)

Publication Date

Neurosymbolic system profiling: A template-based approach

Knowledge-Based Systems

Elvira Amador-Domínguez

Emilio Serrano

Daniel Manrique

2024/3/5

Mitigating bias in artificial intelligence: Fair data generation via causal models for transparent and explainable decision-making

Future Generation Computer Systems

Rubén González-Sendino

Emilio Serrano

Javier Bajo

2024/2/24

Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks

arXiv preprint arXiv:2401.05468

Damiano Zanardini

Emilio Serrano

2024/1/10

A multivariable sensor-agnostic framework for spatio-temporal air quality forecasting based on Deep Learning

Engineering Applications of Artificial Intelligence

Ignacio-Iker Prado-Rujas

Antonio García-Dopico

Emilio Serrano

M Luisa Córdoba

María S Pérez

2024/1/1

A Review of Bias and Fairness in Artificial Intelligence

Rubén González-Sendino

Emilio Serrano

Javier Bajo

Paulo Novais

2023

Analysis of the Confidence in the Prediction of the Protein Folding by Artificial Intelligence

Paloma Tejera-Nevado

Emilio Serrano

Ana González-Herrero

Rodrigo Bermejo-Moreno

Alejandro Rodríguez-González

2023/7/11

GAMIFICA-CONTINUOUS LEARNING THROUGH GAMIFICATION MECHANISMS FOR MACHINE LEARNING

E García-Cuesta

E Serrano

AM López

I Garrido Cerezo

R Valle

...

2023

Enhancing drug repurposing on graphs by integrating drug molecular structure as feature

Adrián Ayuso-Muñoz

Lucía Prieto-Santamaría

Andrea Álverez-Pérez

Belén Otero-Carrasco

Emilio Serrano

...

2023/6/22

Combining heterogeneous data sources for spatio-temporal mobility demand forecasting

Information Fusion

Ignacio-Iker Prado-Rujas

Emilio Serrano

Antonio García-Dopico

M Luisa Córdoba

María S Pérez

2023/3/1

GEnI: A framework for the generation of explanations and insights of knowledge graph embedding predictions

Neurocomputing

Elvira Amador-Domínguez

Emilio Serrano

Daniel Manrique

2023/2/7

Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data

Artificial Intelligence in Medicine

Adrián Ayuso-Muñoz

Lucía Prieto-Santamaría

Esther Ugarte-Carro

Emilio Serrano

Alejandro Rodríguez-González

2023/11/1

A case-based reasoning model powered by deep learning for radiology report recommendation

Elvira Amador-Domínguez

Emilio Serrano

Daniel Manrique

Javier Bajo

2021

A hierarchical multi-agent architecture based on virtual identities to explain black-box personalization policies

Expert Systems with Applications

Elvira Amador-Domínguez

Emilio Serrano

Daniel Manrique

2021/12/30

An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities

Information Sciences

Elvira Amador-Domínguez

Emilio Serrano

Daniel Manrique

Patrick Hohenecker

Thomas Lukasiewicz

2021/7/1

A flexible and robust deep learning-based system for solar irradiance forecasting

IEEE Access

Ignacio-Iker Prado-Rujas

Antonio García-Dopico

Emilio Serrano

María S Pérez

2021/1/14

Challenge-based learning in explainable artificial intelligence education

II Prado-Rujas

E Serrano

D Zanardini

J Bajo

2021

A Moderate Experiential Learning Approach Applied on Data Science

Emilio Serrano

Daniel Manrique

2020

An ontology-based deep learning approach for knowledge graph completion with fresh entities

Elvira Amador-Domínguez

Patrick Hohenecker

Thomas Lukasiewicz

Daniel Manrique

Emilio Serrano

2020

A multi-agent architecture for mobile sensing systems

Journal of Ambient Intelligence and Humanized Computing

Francisco Laport

Emilio Serrano

Javier Bajo

2020/11

A review of mobile sensing systems, applications, and opportunities

Francisco Laport-López

Emilio Serrano

Javier Bajo

Andrew T Campbell

2020/1

See List of Professors in Emilio Serrano University(Universidad Politécnica de Madrid)

Co-Authors

H-index: 53
Thomas Lukasiewicz

Thomas Lukasiewicz

University of Oxford

H-index: 47
Javier Bajo

Javier Bajo

Universidad Politécnica de Madrid

H-index: 38
Juan A. Botía

Juan A. Botía

Universidad de Murcia

H-index: 36
Carlos Á. Iglesias

Carlos Á. Iglesias

Universidad Politécnica de Madrid

H-index: 35
Juan Pavón

Juan Pavón

Universidad Complutense de Madrid

H-index: 32
Jorge Jesús Gómez Sanz

Jorge Jesús Gómez Sanz

Universidad Complutense de Madrid

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