Bello-Pérez, Rafael

Bello-Pérez, Rafael

Doctor

Positions

Profesor, Departamento de Computacióm
investigador, Laboratorio de Inteligencia Artificial
Director, Centro de Investigaciones de la Informática
Director, Centro Universitario Municipal Caibarien
Director, Centro de Investigaciones en Informática
Director, Facultad de Matemática, Física y Computación , Centro de Investigaciones en Informática

research areas

descripción general

Licenciado en Cibernética Matemática de la UCLV en 1982, Doctorado en Ciencias Matemáticas (1987) en la UCLV. Ha impartido docencia de posgrado en la UCLV, así como en otros países: Colombia, México, Argentina, Venezuela, Bolivia, Perú, Nicaragua y España. Profesor de Merito de la UCLV y Profesor Invitado de la Universidad de Holguín, de la Universidad de Camagüey de la Universidad de Matanzas. Coordinador del Doctorado en Ciencias Computacionales e Informáticas. Director del Centro de Investigaciones de la Informática y Presidente del Consejo Científico de la UCLV. Vicepresidente de los Tribunales Nacionales para la defensa de tesis de doctorados en Matemática y Computación y Automática y Computación de Cuba. Miembro del Comité Técnico Asesor del Ministerio de Comunicaciones y del comité de expertos de varios Programas Nacionales de Ciencia y Técnica. Entre los principales reconocimientos recibidos están la Orden “Carlos J. Finlay” y la Orden ¨Frank País¨ de Primer y Segundo grado que otorga el Consejo de Estado de Cuba, 9 Premios de la Academia de Ciencias de Cuba, y 7 Distinciones Especiales del Ministro de Educación Superior.

geographic focus

Cuba Country

jefe de

Centro de Investigaciones en Informática

member of

selected publications

artículo
- Fuzzy-Rough Cognitive Networks 2018
- Análisis de escenario utilizando técnicas de inteligencia artificial para estudiar el posible comportamiento de la COVID-19
artículo académico
- REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image. Information Sciences. 654:119851. 2024
capítulo
- Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections. Progress in Artificial Intelligence and Pattern Recognition. 3-12. 2021
- Multiple Instance Multiple Label Learning. Multiple Instance Learning. 209-230. 2016
- Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach. Applications of Evolutionary Computation. 902-914. 2014
- Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making. Rough Sets and Intelligent Systems Paradigms. 169-178. 2014
- A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation. Advances in Artificial Intelligence. 39-50. 2013
- Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 270-277. 2013
- Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling. Artificial Neural Networks and Machine Learning – ICANN 2012. 718-725. 2012
- Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems. Lecture Notes in Computer Science. 352-353. 2012
- A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System. New Challenges on Bioinspired Applications. 243-256. 2011
- A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem. Lecture Notes in Computer Science. 253-262. 2011
- Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning. Advances in Soft Computing. 82-94. 2011
- Fuzzy Cognitive Maps for Modeling Complex Systems. Advances in Artificial Intelligence. 166-174. 2010
- Knowledge Discovery Using Rough Set Theory. Advances in Machine Learning I. 367-383. 2010
- Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures. Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). 359-370. 2010
- Mechanisms of Partial Supervision in Rough Clustering Approaches. Rough Sets and Knowledge Technology. 38-45. 2009
- Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. 458-461. 2009
- Feature Selection through Dynamic Mesh Optimization. Lecture Notes in Computer Science. 348-355. 2008
- A Connectionist Fuzzy Case-Based Reasoning Model. Lecture Notes in Computer Science. 176-185. 2006
- Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy Sets. Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. 238-248. 2006
- Learning Similarity Metrics from Case Solution Similarity. Advances in Artificial Intelligence - IBERAMIA-SBIA 2006. 400-408. 2006
- Improving a Fuzzy ANN Model Using Correlation Coefficients. Advances in Soft Computing. 752-761.
- Rough Clustering with Partial Supervision. Studies in Computational Intelligence. 137-161.
- Rough Set Theory Measures for Quality Assessment of a Training Set. Granular Computing: At the Junction of Rough Sets and Fuzzy Sets. 199-210.
- Rough Sets and Evolutionary Computation to Solve the Feature Selection Problem. Studies in Computational Intelligence. 235-260.
- Rough Text Assisting Text Mining: Focus on Document Clustering Validity. Granular Computing: At the Junction of Rough Sets and Fuzzy Sets. 229-248.
- Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem. Advances in Soft Computing. 223-232.
- Two new feature selection algorithms with Rough Sets Theory. IFIP International Federation for Information Processing. 209-216.
- Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem. Nature Inspired Problem-Solving Methods in Knowledge Engineering. 307-316.
conference paper
journal
- Engineering Applications of Artificial Intelligence. Ed. SIARRY, PATRICK.
- Expert Systems with Applications. Ed. BINSHAN, LIN.
journal article
- Evaluación del impacto de la capacitación con lógica difusa. Ingeniare. Revista chilena de ingeniería. 41-52. 2014

editor of

libro
- Rough Sets and Current Trends in Soft Computing 2014

fecha de la categoría científica

Aspirante a Investigador

investiga en el campo de conocimiento

1.2. Ciencias de la Computación e Información

posee categoría de

Especialista en Procesos de Alta Tecnología III

principal investigator on

VLIR Project 2

investigator on

Gestion de Datos 2013

descripción de la Docencia

Profesor Titular de Inteligencia Artificial

es principal investigador de

VLIR Project

ostenta categoría docente de

Profesor Titular

pertenece al proyecto

VLIR Project

posee la categoría científica de

Investigador Titular

education and training

M.C.S.

premios y honores

Premio Academia de Ciencias, 2018

tiene reisdencia en

Santa Clara Municipios

nombre completo

Rafael Bello-Pérez

correo principal

rbellop@uclv.edu.cu

teléfono

42-281515

Género

M

Publications in VIVO

Co-author Network

Co-investigator Network

Contact Info

rbellop@uclv.edu.cu

42-281515