Rafael Bello

发表

A discrete Time variable Index for Supporting Dynamic Multi-criteria Decision Making

Luis Martínez-López, Rafael Bello, Yeleny Zulueta, 2014, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A Solution for the Team Selection Problem Using ACO

Rafael Bello, Ann Nowé, Marilyn Bello, 2018, ANTS Conference.

A physics-based scoring function for protein structural decoys: Dynamic testing on targets of CASP-ROLL

Yasser B. Ruiz-Blanco, J. Green, Rafael Bello, 2014 .

Towards Swarm Diversity: Random Sampling in Variable Neighborhoods Procedure Using a Lévy Distribution

Rafael Bello, Isel Grau, Gonzalo Nápoles, 2014 .

An improvement to the classification based on the measurement of the similarity quality using fuzzy relations

Rafael Bello, Yumilka B. Fernández-Hernández, Yaima Filiberto, 2015 .

A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data

Rafael Bello, Eduardo Valencia Morales, Carlos Alberto Donis Diaz, 2014, Expert Syst. Appl..

VMODE: A HYBRID METAHEURISTIC FOR THE SOLUTION OF LARGE SCALE OPTIMIZATION PROBLEMS

Amilkar Puris, Rafael Bello, Amilkar Puris, 2015 .

EFFECTS OF USING REDUCTS IN THE PERFORMANCE OF THE IRBASIR ALGORITHM

Rafael Bello, Yaima Filiberto, Mabel Frias, 2013 .

MODIFICATION OF THE IRBASIR ALGORITHM USING REDUCTS

Rafael Bello, Yaima Filiberto, Y. Caballero, 2013 .

Applied Computer Sciences in Engineering: 7th Workshop on Engineering Applications, WEA 2020, Bogota, Colombia, October 7–9, 2020, Proceedings

Rafael Bello, R. Falcon, Yaima Filiberto, 2020, WEA.

Adaptability through Artificial Intelligence Techniques

Maikel Leon Espinosa, K. Vanhoof, Rafael Bello, 2009 .

Multiple Instance Learning - Foundations and Algorithms

Dánel Sánchez Tarragó, F. Herrera, Sebastián Ventura, 2016 .

Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP

Francisco Herrera, Rafael Bello, Amilkar Puris, 2010, Expert Syst. Appl..

Prototypes selection based on similarity relations for classification problems

Rafael Bello, Yaima Filiberto, Mabel Frias, 2015, 2015 Workshop on Engineering Applications - International Congress on Engineering (WEA).

Expanding the Current Boundaries of Nature-based Modeling and Computing: Chem-Inspiration for Meta-Heuristics

Yasser B. Ruiz-Blanco, Rafael Bello, Y. B. Ruiz-Blanco, 2021 .

Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation

K. Vanhoof, Rafael Bello, M. Bello, 2022, IEEE International Joint Conference on Neural Network.

Multiobjective variable mesh optimization

Jorge L. Toro, Rafael Bello, R. Falcon, 2016, Annals of Operations Research.

Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps

Koen Vanhoof, Gonzalo Nápoles, Rafael Falcon, 2020, IEEE Transactions on Fuzzy Systems.

Rough Sets in Machine Learning: A Review

Rafael Bello, Rafael Falcon, Rafael Bello, 2017 .

Rough Sets: International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020, Proceedings

Rafael Bello, Rafael Bello, 2020, IJCRS.

Weighted aggregation of partial rankings using Ant Colony Optimization

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2017, Neurocomputing.

Improving the MLP Learning by Using a Method to Calculate the Initial Weights of the Network Based on the Quality of Similarity Measure

Yailé Caballero Mota, Yaima Filiberto, Rafael Bello, 2011, MICAI.

A Hesitant Heterogeneous Approach for Environmental Impact Significance Assessment

Luis Martínez, Yeleny Zulueta, Rafael Bello, 2016 .

A Connectionist Fuzzy Case-Based Reasoning Model

Bernard De Baets, Rafael Bello, María Matilde García Lorenzo, 2006, MICAI.

Extending a Hybrid CBR-ANN Model by Modeling Predictive Attributes Using Fuzzy Sets

Bernard De Baets, Rafael Bello, María Matilde García Lorenzo, 2006, IBERAMIA-SBIA.

Unsupervised Multiple Instance Learning

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem

Rafael Bello, Ann Nowé, Enrique Casanovas, 2009, IWANN.

ANN-QSAR model for selection of anticancer leads from structurally heterogeneous series of compounds.

Rafael Bello, Isis Bonet, Lourdes Santana, 2007, European journal of medicinal chemistry.

Variable mesh optimization for continuous optimization problems

Francisco Herrera, Rafael Bello, Daniel Molina, 2012, Soft Comput..

Fuzzy Activation of Rough Cognitive Ensembles Using OWA Operators

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2019, Uncertainty Management with Fuzzy and Rough Sets.

Fuzzy-Rough Cognitive Networks

Koen Vanhoof, Rafael Bello, Carlos Mosquera, 2018, Neural Networks.

Rough cognitive ensembles

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2017, Int. J. Approx. Reason..

Multiple Instance Learning

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016, Springer International Publishing.

Instance-Based Classification Methods

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Multiobjective Overlapping Community Detection Algorithms Using Granular Computing

Alejandro Rosete, Rafael Bello, Airel Pérez-Suárez, 2019, Uncertainty Management with Fuzzy and Rough Sets.

A review on methods and software for fuzzy cognitive maps

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2019, Artificial Intelligence Review.

Niche-clearing-based Variable Mesh Optimization for multimodal problems

Ajith Abraham, Rafael Bello, Rafael Falcon, 2013, 2013 World Congress on Nature and Biologically Inspired Computing.

Overlapping Community Detection Using Multi-objective Approach and Rough Clustering

Alejandro Rosete, Airel Pérez Suárez, Rafael Bello, 2020, IJCRS.

A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, WEA.

The performance of some meta-heuristics in continuous problems studied according to the location of the optima in the search space

Rafael Bello, Amilkar Puris, Ricardo Navarro, 2013, Rev. Avances en Sistemas Informática.

Learning Collaboration Links in a Collaborative Fuzzy Clustering Environment

Gwanggil Jeon, Rafael Bello, Jechang Jeong, 2007, MICAI.

IRBASIR-B: Rule Induction from Similarity Relations, a Bayesian Approach

Rafael Bello, Rafael Falcon, Yaima Filiberto, 2020, Workshop on Engineering Applications.

Rafael Bello, Rafael Falcon, Yaima Filiberto, 2014, 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

An analysis about the measure quality ofsimilarity and its applications in machine learning

Rafael Bello, Yailé Caballero, Yaima Filiberto, 2013 .

A method to build similarity relations into extended Rough Set Theory

Rafael Bello, Yailé Caballero Mota, Yaima Filiberto, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures

Rafael Bello, Yailé Caballero Mota, Yaima Filiberto, 2010, NICSO.

Rough Cognitive Networks

Koen Vanhoof, Rafael Bello, Isel Grau, 2016, Knowl. Based Syst..

Mechanisms of Partial Supervision in Rough Clustering Approaches

Gwanggil Jeon, Rafael Bello, Jechang Jeong, 2009, RSKT.

Rough Clustering with Partial Supervision

Gwanggil Jeon, Rafael Bello, Jechang Jeong, 2009 .

Feature Selection Algorithms Using Rough Set Theory

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Two new feature selection algorithms with Rough Sets Theory

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2006, IFIP AI.

Data quality measures based on granular computing for multi-label classification

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2021, Inf. Sci..

Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Cognitive Maps in Transport Behavior

Koen Vanhoof, Rafael Bello, Maikel León, 2009, 2009 Eighth Mexican International Conference on Artificial Intelligence.

Rough sets in the Soft Computing environment

Rafael Bello, José L. Verdegay, J. Verdegay, 2012, Inf. Sci..

Making decision in case-based systems using probabilities and rough sets

Rafael Bello, Iliana Gutiérrez Martínez, Rafael Bello, 2003, Knowl. Based Syst..

A continuation approach for training Artificial Neural Networks with meta-heuristics

Rafael Bello, Jairo Rojas-Delgado, Rafael A. Trujillo-Rasúa, 2019, Pattern Recognit. Lett..

Fuzzy Cognitive Maps Based Models for Pattern Classification: Advances and Challenges

Koen Vanhoof, Rafael Bello, Isel Grau, 2017, Soft Computing Based Optimization and Decision Models.

On the convergence of sigmoid Fuzzy Cognitive Maps

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2016, Inf. Sci..

A Granular Intrusion Detection System Using Rough Cognitive Networks

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2016, Recent Advances in Computational Intelligence in Defense and Security.

A computational tool for simulation and learning of Fuzzy Cognitive Maps

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making

Koen Vanhoof, Rafael Bello, Isel Grau, 2014, RSEISP.

How to improve the convergence on sigmoid Fuzzy Cognitive Maps?

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2014, Intell. Data Anal..

A Method to Edit Training Set Based on Rough Sets

Rafael Bello, Yailé Caballero, Yanitza Salgado, 2007 .

Improving k-NN by Using Fuzzy Similarity Functions

Rafael Bello, Ricardo del Corazón Grau-Ábalo, Carlos Morell, 2004, IBERAMIA.

Using Ant Colony Optimization and Genetic Algorithms for the Linguistic Summarization of Creep Data

Janusz Kacprzyk, Rafael Bello, Carlos Alberto Donis Diaz, 2014, IEEE Conf. on Intelligent Systems.

On the generation of multi-label prototypes

Koen Vanhoof, Marilyn Bello, Gonzalo Nápoles, 2020 .

Constricted Particle Swarm Optimization based Algorithm for Global Optimization

Rafael Bello, Isel Grau, Gonzalo Nápoles, 2012, Polibits.

Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem

Rafael Bello, Ann Nowé, Yudel Gómez, 2008, IWPACBB.

SMOTE-RSB*: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

Francisco Herrera, Rafael Bello, Enislay Ramentol, 2012, Knowledge and Information Systems.

A model based on ant colony system and rough set theory to feature selection

Rafael Bello, Peter Vrancx, Ann Nowé, 2005, GECCO '05.

Extensions to Linguistic Summaries Indicators based on Neutrosophic Theory, Applications in Project Management Decisions

Rafael Bello, Santos, Maikel Yelandi Leyva Vázquez, 2018 .

A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem

Rafael Bello, Ann Nowé, Yailen Martínez, 2011, LION.

SMOTE-FRST: a new resampling method using fuzzy rough set theory

Chris Cornelis, Rafael Bello, Francisco Herrera, 2012 .

Using Linguistic Data Summarization in the study of creep data for the design of new steels

Rafael Bello, Eduardo Valencia Morales, Carlos Alberto Donis Diaz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Rough Text Assisting Text Mining: Focus on Document Clustering Validity

Rafael Bello, Rafael Falcon, Yailé Caballero, 2008 .

Fuzzy Design of Nearest Prototype Classifier

Rafael Bello, Yailé Caballero Mota, Mabel Frias Dominguez, 2018, MICAI.

Induction of Rules Based on Similarity Relations for Imbalance Datasets. A Case of Study

Rafael Bello, Mabel Frias Dominguez, Yaima Filiberto, 2016, WEA.

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2015, IEEE Transactions on Fuzzy Systems.

A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation

Francisco Herrera, Chris Cornelis, Rafael Bello, 2014, Knowl. Based Syst..

Rafael Bello, Ricardo del Corazón Grau-Ábalo, Yanet Rodríguez, 2006, IBERAMIA-SBIA.

Partitive granular Cognitive Maps to graded multilabel classification

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Linguistic Summaries Generation with Hybridization Method Based on Rough and Fuzzy Sets

Pedro Yobanis Piñero Pérez, Iliana Perez Pupo, Rafael Bello, 2020, IJCRS.

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, KES-IDT.

Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm

Francisco Herrera, Chris Cornelis, Rafael Bello, 2016, Eng. Appl. Artif. Intell..

Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance

Gonzalo Nápoles, Rafael Bello, Ricardo del Corazón Grau-Ábalo, 2014, Expert Syst. Appl..

Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps

Koen Vanhoof, Rafael Bello, Benoît Depaire, 2013, Int. J. Comput. Intell. Syst..

A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences

Koen Vanhoof, Rafael Bello, Maikel León, 2010, Polibits.

Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections

Koen Vanhoof, Rafael Bello, María Matilde García Lorenzo, 2021, IWAIPR.

A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality

Rafael Bello, Ann Nowé, Gladys Casas Cardoso, 2006, 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

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

Koen Vanhoof, Marilyn Bello, Gonzalo Nápoles, 2020, Neurocomputing.

Feature and Label Association Based on Granulation Entropy for Deep Neural Networks

Koen Vanhoof, Marilyn Bello, Gonzalo Nápoles, 2020, IJCRS.

Granular cognitive maps: a review

K. Vanhoof, Rafael Bello, R. Falcon, 2018, Granular Computing.

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2018, 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

Project Control and Computational Intelligence: Trends and Challenges

Rafael Bello, Anié Bermudez Peña, José Alejandro Lugo García, 2017, Int. J. Comput. Intell. Syst..

A measure in the rough set theory to decision systems with continuo features

Rafael Bello, Yailé Caballero, Yaima Filiberto, 2011 .

Outliers Detection in Multi-label Datasets

Koen Vanhoof, Marilyn Bello, Gonzalo Nápoles, 2020, MICAI.

Rough Set Theory: A True Landmark in Data Analysis

Ajith Abraham, Rafael Bello, Rafael Falcn, 2009 .

Linguistic data summarization using an enhanced genetic algorithm

Rafael Bello, Janusz Kacprzyk, Carlos A. Donis-Diaz, 2013 .

SMOTE-RS B ∗ : a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced datasets using SMOTE and rough sets theory

Francisco Herrera, Rafael Bello, Enislay Ramentol, 2022 .

Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning

Rafael Bello, Jairo Rojas-Delgado, Rafael A. Trujillo-Rasúa, 2019, CIARP.

Discovering Fails in Software Projects Planning Based on Linguistic Summaries

Pedro Yobanis Piñero Pérez, Iliana Perez Pupo, Rafael Bello, 2020, IJCRS.

Prototypes Generation from Multi-label Datasets Based on Granular Computing

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, CIARP.

Methods to Edit Multi-label Training Sets Using Rough Sets Theory

Koen Vanhoof, Rafael Bello, Gonzalo Nápoles, 2019, IJCRS.

Knowledge Discovery by Compensatory Fuzzy Rough Predicates

W. Pedrycz, Rafael Bello, Erick González, 2021, Computational Intelligence for Business Analytics.

New Measures for Evaluating Decision Systems Using Rough Set Theory: The Application in Seasonal Weather Forecasting

Rafael Bello, Jorge Marx Gómez, Yailé Caballero Mota, 2007, ITEE.

Expanding MLkNN Using Extended Rough Set Theory

Koen Vanhoof, Rafael Bello, María Matilde García Lorenzo, 2018, IWAIPR.

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

Rafael Bello, Yaima Filiberto, Yumilka B. Fernandez Hernandez, 2015, Computación y Sistemas.

Support Rough Sets for decision-making

Rafael Bello, Yenny Villuendas-Rey, María Matilde García-Lorenzo, 2013 .

Feature Selection through Dynamic Mesh Optimization

Rafael Bello, Rafael Falcon, Amilkar Puris, 2008, CIARP.

Two Step Ant Colony System to Solve the Feature Selection Problem

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2006, CIARP.

Improving the k-NN method: Rough Set in edit training set

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2006, IFIP PPAI.

Using rough sets to edit training set in k-NN method

Rafael Bello, María Matilde García Lorenzo, Yailé Caballero Mota, 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

Rough Sets and Evolutionary Computation to Solve the Feature Selection Problem

Rafael Bello, Rafael Falcon, Ann Nowé, 2009 .

Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium

Koen Vanhoof, Rafael Bello, Elpiniki I. Papageorgiou, 2016, Appl. Soft Comput..

A linguistic fusion approach for heterogeneous Environmental Impact Significance Assessment

Luis Martínez, Yeleny Zulueta, David Rodríguez, 2016 .

Granular cognitive maps: a review

Koen Vanhoof, Rafael Bello, Rafael Falcon, 2018, Granular Computing.

Multi-instance Regression

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Imbalanced Multi-instance Data

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .