Rafael Bello

Orcid: 0000-0001-5567-2638

Affiliations:
  • University "Marta Abreu" of Las Villas, Department of Computer Science, Santa Clara, Cuba


According to our database1, Rafael Bello authored at least 146 papers between 1994 and 2024.

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Bibliography

2024
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image.
Inf. Sci., January, 2024

2023
Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

2022
Applications of Computational Intelligence in the Studies of Covid-19.
Proceedings of the Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022

Fuzzy prototype selection-based classifiers for imbalanced data. Case study.
Pattern Recognit. Lett., 2022

Skipped Nonsynaptic Backpropagation for Interval-valued Long-term Cognitive Networks.
Proceedings of the Advances in Computational Intelligence, 2022

Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hyper-parameter Optimization Using Continuation Algorithms.
Proceedings of the Metaheuristics - 14th International Conference, 2022

2021
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2021

Data quality measures based on granular computing for multi-label classification.
Inf. Sci., 2021

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

Nonsynaptic Backpropagation Learning of Interval-valued Long-term Cognitive Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Deep neural network to extract high-level features and labels in multi-label classification problems.
Neurocomputing, 2020

IRBASIR-B: Rule Induction from Similarity Relations, a Bayesian Approach.
Proceedings of the Applied Computer Sciences in Engineering, 2020

Discovering Fails in Software Projects Planning Based on Linguistic Summaries.
Proceedings of the Rough Sets - International Joint Conference, 2020

Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets.
Proceedings of the Rough Sets - International Joint Conference, 2020

Overlapping Community Detection Using Multi-objective Approach and Rough Clustering.
Proceedings of the Rough Sets - International Joint Conference, 2020

On the Behavior of Fuzzy Grey Cognitive Maps.
Proceedings of the Rough Sets - International Joint Conference, 2020

Feature and Label Association Based on Granulation Entropy for Deep Neural Networks.
Proceedings of the Rough Sets - International Joint Conference, 2020

Outliers Detection in Multi-label Datasets.
Proceedings of the Advances in Soft Computing, 2020

2019
A continuation approach for training Artificial Neural Networks with meta-heuristics.
Pattern Recognit. Lett., 2019

Solutions To Storage Spaces Allocation Problem for Import Containers by Exact and Heuristic Methods.
Computación y Sistemas, 2019

A review on methods and software for fuzzy cognitive maps.
Artif. Intell. Rev., 2019

A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification.
Proceedings of the Applied Computer Sciences in Engineering, 2019

A New Approach to Improve Learning in Fuzzy Cognitive Maps Using Reinforcement Learning.
Proceedings of the Applied Computer Sciences in Engineering, 2019

Methods to Edit Multi-label Training Sets Using Rough Sets Theory.
Proceedings of the Rough Sets - International Joint Conference, 2019

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations.
Proceedings of the Intelligent Decision Technologies 2019, 2019

Synaptic Learning of Long-Term Cognitive Networks with Inputs.
Proceedings of the International Joint Conference on Neural Networks, 2019

Algoritmos para la sumarización lingüística de datos, ayuda a la toma de decisiones en organizaciones orientadas a proyectos.
Proceedings of the XXII Iberoamerican Conference on Software Engineering, 2019

Video Popularity Forecasting to Improve Cache Miss Rate in Content Delivery Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Prototypes Generation from Multi-label Datasets Based on Granular Computing.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Reduction Methods for Multi-Label Datasets Based on Granular Computing.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2018

Method of Generating Contexts Based on Self-adaptive Differential Particle Swarm Using Local Topology for Multimodal Optimization in the Case of Multigranulation.
Res. Comput. Sci., 2018

Fuzzy-Rough Cognitive Networks.
Neural Networks, 2018

A New Method For Personnel Selection Based On Ranking Aggregation Using A Reinforcement Learning Approach.
Computación y Sistemas, 2018

Methods for Generating Contexts Based on Similarity Relations to Multigranulation.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Fuzzy Design of Nearest Prototype Classifier.
Proceedings of the Advances in Soft Computing, 2018

Expanding MLkNN Using Extended Rough Set Theory.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2018

Multi-granulation Strategy via Feature Subset Extraction by Using a Genetic Algorithm and a Rough Sets-Based Measure of Dependence.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

A Solution for the Team Selection Problem Using ACO.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition.
Neural Process. Lett., 2017

Weighted aggregation of partial rankings using Ant Colony Optimization.
Neurocomputing, 2017

Project Control and Computational Intelligence: Trends and Challenges.
Int. J. Comput. Intell. Syst., 2017

Rough cognitive ensembles.
Int. J. Approx. Reason., 2017

Multiobjective variable mesh optimization.
Ann. Oper. Res., 2017

Revisión bibliográfica sobre funciones objetivo para el apilamiento de contenedores.
Inteligencia Artif., 2017

Classification by Nearest Neighbor and Multilayer Perceptron a New Approach Based on Fuzzy Similarity Quality Measure: A Case Study.
Proceedings of the Applied Computer Sciences in Engineering, 2017

Extending the Pareto-Dominance Based MOEAs Framework for Overlapping Community Detection.
Proceedings of the Advances in Soft Computing, 2017

Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers.
Proceedings of the Advances in Soft Computing, 2017

An Approach to Solve Classification Problems on Domains with Hubness Using Rough Sets and Nearest Prototype.
Proceedings of the Sixteenth Mexican International Conference on Artificial Intelligence, 2017

Multi-objective Overlapping Community Detection by Global and Local Approaches.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges.
Proceedings of the Soft Computing Based Optimization and Decision Models, 2017

2016
A Granular Intrusion Detection System Using Rough Cognitive Networks.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Rough Cognitive Networks.
Knowl. Based Syst., 2016

On the convergence of sigmoid Fuzzy Cognitive Maps.
Inf. Sci., 2016

Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm.
Eng. Appl. Artif. Intell., 2016

Personnel Selection in a Competitive Environment.
Computación y Sistemas, 2016

Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium.
Appl. Soft Comput., 2016

Induction of Rules Based on Similarity Relations for Imbalance Datasets. A Case of Study.
Proceedings of the Applied Computer Sciences in Engineering, 2016

Impact of Weight Initialization on Multilayer Perceptron Using Fuzzy Similarity Quality Measure.
Proceedings of the Applied Computer Sciences in Engineering, 2016

Partitive granular Cognitive Maps to graded multilabel classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Multiple Instance Learning - Foundations and Algorithms
Springer, ISBN: 978-3-319-47759-6, 2016

2015
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.
IEEE Trans. Fuzzy Syst., 2015

Editorial.
Int. J. Comput. Intell. Syst., 2015

Clustering Search and Variable Mesh Algorithms for continuous optimization.
Expert Syst. Appl., 2015

An Approach for Prototype Generation based on Similarity Relations for Problems of Classification.
Computación y Sistemas, 2015

Improving the Multilayer Perceptron Learning by using a Method to Calculate the Initial Weights with the Quality of Similarity Measure based on Fuzzy Sets and Particle Swarms.
Computación y Sistemas, 2015

Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem.
Proceedings of the Advances in Computational Intelligence, 2015

A computational tool for simulation and learning of Fuzzy Cognitive Maps.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
Probabilistic Approaches to the Rough Set Theory and Their Applications in Decision-Making.
Proceedings of the Soft Computing for Business Intelligence, 2014

A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation.
Knowl. Based Syst., 2014

A discrete Time variable Index for Supporting Dynamic Multi-criteria Decision Making.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

Knowledge Engineering for Rough Sets Based Decision-Making Models.
Int. J. Intell. Syst., 2014

How to improve the convergence on sigmoid Fuzzy Cognitive Maps?
Intell. Data Anal., 2014

Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance.
Expert Syst. Appl., 2014

A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data.
Expert Syst. Appl., 2014

Hacia la diversidad de la bandada: procedimiento RSVN usando una distribución de Lévy.
Computación y Sistemas, 2014

Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

Using Ant Colony Optimization and Genetic Algorithms for the Linguistic Summarization of Creep Data.
Proceedings of the Intelligent Systems'2014, 2014

Learning similarity measures from data with fuzzy sets and particle swarms.
Proceedings of the 11th International Conference on Electrical Engineering, 2014

Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
The performance of some meta-heuristics in continuous problems studied according to the location of the optima in the search space.
Rev. Avances en Sistemas Informática, 2013

Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps.
Int. J. Comput. Intell. Syst., 2013

Niche-clearing-based Variable Mesh Optimization for multimodal problems.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

Self-adaptive differential particle swarm using a ring topology for multimodal optimization.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Variable mesh optimization for continuous optimization problems.
Soft Comput., 2012

Constricted Particle Swarm Optimization based Algorithm for Global Optimization.
Polibits, 2012

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory.
Knowl. Inf. Syst., 2012

Rough sets in the Soft Computing environment.
Inf. Sci., 2012

Editorial.
Computación y Sistemas, 2012

System-Level Fault Diagnosis with Dynamic Mesh Optimization.
Computación y Sistemas, 2012

A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation.
Proceedings of the Advances in Artificial Intelligence, 2012

Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Optimising real parameters using the information of a mesh of solutions: VMO algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems.
Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011
Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning.
Proceedings of the Advances in Soft Computing, 2011

Improving the MLP Learning by Using a Method to Calculate the Initial Weights of the Network Based on the Quality of Similarity Measure.
Proceedings of the Advances in Soft Computing, 2011

A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Using Linguistic Data Summarization in the study of creep data for the design of new steels.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
Knowledge Discovery Using Rough Set Theory.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences.
Polibits, 2010

Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP.
Expert Syst. Appl., 2010

Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010

Fuzzy Cognitive Maps for Modeling Complex Systems.
Proceedings of the Advances in Artificial Intelligence, 2010

A method to build similarity relations into extended Rough Set Theory.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

2009
Mechanisms of Partial Supervision in Rough Clustering Approaches.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem.
Proceedings of the Distributed Computing, 2009

2008
Predicción de Mutaciones en Secuencias de la Proteína Transcriptasa Inversa del VIH usando Nuevos Métodos para Aprendizaje Estr uctur al de Redes Bayesianas.
Rev. Avances en Sistemas Informática, 2008

Two Step Swarm Intelligence to Solve the Feature Selection Problem.
J. Univers. Comput. Sci., 2008

Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Feature Selection through Dynamic Mesh Optimization.
Proceedings of the Progress in Pattern Recognition, 2008

2007
La Teoría de los Conjuntos Aproximados y las técnicas de Boostrap para la Edición de Conjuntos de Entrenamiento. Su aplicación en el pronóstico metereológico.
Rev. Avances en Sistemas Informática, 2007

Application of Bayesian Network for Fuzzy Rule-Based Video Deinterlacing.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

Learning Collaboration Links in a Collaborative Fuzzy Clustering Environment.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

New Measures for Evaluating Decision Systems Using Rough Set Theory: The Application in Seasonal Weather Forecasting.
Proceedings of the Information Technologies in Environmental Engineering, 2007

Concept Maps Combined with Case-Based Reasoning in Order to Elaborate Intelligent Teaching/Learning Systems.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Rough Set Theory Measures to Knowledge Generation.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Feature Selection Algorithms Using Rough Set Theory.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Improving a Fuzzy ANN Model Using Correlation Coefficients.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

Two-Stage ACO to Solve the Job Shop Scheduling Problem.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Document clustering via concatenated methods.
Inteligencia Artif., 2006

A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality.
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

A Connectionist Fuzzy Case-Based Reasoning Model.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Improving the k-NN method: Rough Set in edit training set.
Proceedings of the Toward Category-Level Object Recognition, 2006

Two new feature selection algorithms with Rough Sets Theory.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006

Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy Sets.
Proceedings of the Advances in Artificial Intelligence, 2006

Learning Similarity Metrics from Case Solution Similarity.
Proceedings of the Advances in Artificial Intelligence, 2006

Two Step Ant Colony System to Solve the Feature Selection Problem.
Proceedings of the Progress in Pattern Recognition, 2006

2005
Using rough sets to edit training set in k-NN method.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

A model based on ant colony system and rough set theory to feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Improving k-NN by Using Fuzzy Similarity Functions.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
Making decision in case-based systems using probabilities and rough sets.
Knowl. Based Syst., 2003

2002
Learning Optimization in a MLP Neural Network Applied to OCR.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

A Decision Case-Based System, That Reasons in Uncertainty Conditions.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002

2000
Usando conjuntos borrosos para implementar un modelo para sistemas basados en casos interpretativos.
Proceedings of the International Joint Conference, 2000

Determinación y manejo de la incertidumbre en los Sistemas Basados en Casos.
Proceedings of the International Joint Conference, 2000

1997
Diseño de los Agentes de una Red de Cooperación para la Planificación del Cultivo del Plátano Fruta o Banano.
Inteligencia Artif., 1997

1996
A model and its different applications to case-based reasoning.
Knowl. Based Syst., 1996

1994
Knowledge representation form in mechanical engineering.
Knowl. Based Syst., 1994


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