Jesus Serrano Guerrero

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Associate Professor

University of Castilla-La Mancha

Spain

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About

Jesus Serrano Guerrero is an Associate Professor at the University of Castilla-La Mancha, Spain. His research primarily focuses on multimodal artificial intelligence, health informatics, and data-driven educational predictions. Recent publications include works on emotion detection in health narratives and the application of recommender systems in smart cities, underscoring his expertise in leveraging technology for societal benefit.

Recent Grants

Grant: Close

SAFER: ANALYSIS AND VALIDATION OF SOFTWARE AND WEB RESOURCES

Open Date: 2020-06-01

Close Date: 2024-06-01

Grant: Close

Métodos rigurosos para el Internet del Futuro

Open Date: 2016-12-01

Close Date: 2019-12-01

Grant: Close

BOTBLOQ ECOSISTEMA INTEGRAL PARA EL DISEÑO, FABRICACIÓN Y PROGRAMACIÓN DE ROBOTS DIY

Open Date: 2015-01-01

Close Date: 2017-06-01

Grant: Close

Aplicaciones de la lógica fuzzy en el ámbito documental

Open Date: 2013-03-01

Close Date: 2014-04-01

Grant: Close

HECAOT: Herramienta para la construcción automática de ontologías temáticas

Open Date: 2011-01-01

Close Date: 2011-12-01

Articles (23)

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Collaborators (6)

Leticia Arco García

Vrije Universiteit Brussel

BELGIUM

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Eusebio Angulo

University of Castilla-La Mancha

SPAIN

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Francisco Chiclana

Professor

De Montfort University

UNITED KINGDOM

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Jose A. Olivas

University of Castilla-La Mancha

SPAIN

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Francisco Pascual Romero Chicharro

Associate Professor

University of Castilla-La Mancha

SPAIN

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Mario Arias-Oliva

Universidad Complutense de Madrid

SPAIN

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Jesus Serrano Guerrero

Research Interests

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About

Recent Grants

Articles (23)

Itzamna: A multimodal artificial intelligence platform for comprehensive transversal skills assessment

Improving Education Predictions Through Reasoning by Analogy and Causal Relationships Applied to Smart Exploitation of Data

A Comprehensive Review of Multimodal Analysis in Education

Profiling Social Sentiment in Times of Health Emergencies with Information from Social Networks and Official Statistics

A 2-tuple fuzzy linguistic model for recommending health care services grounded on aspect-based sentiment analysis

Potential Applications of Explainable Artificial Intelligence to Actuarial Problems

What is the Consumer Attitude toward Healthcare Services? A Transfer Learning Approach for Detecting Emotions from Consumer Feedback

How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

BioEmoDetector: A flexible platform for detecting emotions from health narratives

A picture fuzzy set multi criteria decision-making approach to customize hospital recommendations based on patient feedback

An integrated decision framework for evaluating and recommending health care services

Combining machine learning algorithms for personality trait prediction

A Comparison between Explainable Machine Learning Methods for Classification and Regression Problems in the Actuarial Context

Selecting the Best Health Care Systems: An Approach Based on Opinion Mining and Simplified Neutrosophic Sets

Affective Knowledge-enhanced Emotion Detection in Arabic Language: A Comparative Study

A fuzzy aspect‐based approach for recommending hospitals

Ordered Weighted Averaging for Emotion-Driven Polarity Detection

Fuzzy logic applied to opinion mining: A review

Towards Context-Aware Opinion Summarization for Monitoring Social Impact of News

A T1OWA and aspect-based model for customizing recommendations on eCommerce

A relevance and quality-based ranking algorithm applied to evidence-based medicine

A Fuzzy Framework to Evaluate Players' Performance in Handball

Collaborators (6)

Leticia Arco García

Eusebio Angulo

Francisco Chiclana

Jose A. Olivas

Francisco Pascual Romero Chicharro

Mario Arias-Oliva

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