Bruno A. Pimentel

According to our database, Bruno A. Pimentel authored at least 27 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimization on selecting XGBoost hyperparameters using meta-learning.

Tiago Lima Marinho, Diego Carvalho do Nascimento, Bruno Almeida Pimentel

Expert Syst. J. Knowl. Eng., September, 2024

Enhancing General Reading Understanding: Measuring Foundational Reading Skills Relevance.

Leonardo Marques, Gilberto Nerino de Souza, Bruno Almeida Pimentel, Álvaro Alvares Sobrinho, Deisy Das Graças de Souza

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2022

Fuzzy C-Means Clustering Algorithms with Weighted Membership and Distance.

Bruno Almeida Pimentel, Rafael de Amorim Silva, Jadson Crislan Santos Costa

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

A hybrid algorithm for fuzzy clustering based on global and local membership degree.

Bruno Almeida Pimentel, Jadson Crislan Santos Costa

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Kohonen map-wise regression applied to interval data.

Leandro Carlos de Souza, Bruno A. Pimentel, Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza

Knowl. Based Syst., 2021

2020

A Meta-learning approach for recommending the number of clusters for clustering algorithms.

Bruno Almeida Pimentel, André C. P. L. F. de Carvalho

Knowl. Based Syst., 2020

Dynamic time series smoothing for symbolic interval data applied to neuroscience.

Diego C. Nascimento, Bruno A. Pimentel, Renata Souza, João P. Leite, Dylan J. Edwards, Taiza E. G. Santos, Francisco Louzada

Inf. Sci., 2020

2019

A new data characterization for selecting clustering algorithms using meta-learning.

Bruno Almeida Pimentel, André C. P. L. F. de Carvalho

Inf. Sci., 2019

Unsupervised Meta-Learning for Clustering Algorithm Recommendation.

Bruno Almeida Pimentel, André C. P. L. F. de Carvalho

Proceedings of the International Joint Conference on Neural Networks, 2019

A Multivariate Fuzzy Kohonen Clustering Network.

Rodrigo B. de C. Cavalcanti, Bruno A. Pimentel, Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A Generalized Multivariate Approach for Possibilistic Fuzzy C-Means Clustering.

Bruno Almeida Pimentel, Renata M. C. R. de Souza

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning.

Bruno Almeida Pimentel, André C. P. L. F. de Carvalho

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Multivariate fuzzy k-modes algorithm.

Diêgo B. M. Maciel, Getúlio J. A. Amaral, Renata M. C. R. de Souza, Bruno A. Pimentel

Pattern Anal. Appl., 2017

Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy.

Bruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Multivariate Fuzzy C-Means algorithms with weighting.

Bruno Almeida Pimentel, Renata M. C. R. de Souza

Neurocomputing, 2016

2015

Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization.

Telmo de Menezes e Silva Filho, Bruno A. Pimentel, Renata M. C. R. Souza, Adriano L. I. Oliveira

Expert Syst. Appl., 2015

Input space versus feature space in kernel-based interval fuzzy C-Means clustering.

Bruno A. Pimentel, Anderson F. B. F. da Costa, Renata M. C. R. de Souza

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Possibilistic Clustering Methods for Interval-Valued Data.

Bruno Almeida Pimentel, Renata M. C. R. de Souza

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data.

Bruno Almeida Pimentel, Renata M. C. R. de Souza

Expert Syst. Appl., 2014

2013

Clustering interval data through kernel-induced feature space.

Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza

J. Intell. Inf. Syst., 2013

A multivariate fuzzy c-means method.

Bruno A. Pimentel, Renata M. C. R. de Souza

Appl. Soft Comput., 2013

2012

Possibilistic approach to clustering of interval data.

Bruno Almeida Pimentel, Renata M. C. R. de Souza

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Using Weighted Clustering and Symbolic Data to Evaluate Institutes's Scientific Production.

Bruno Almeida Pimentel, Jarley Palmeira Nóbrega, Renata M. C. R. de Souza

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Kernel-based fuzzy clustering of interval data.

Bruno A. Pimentel, Anderson F. B. F. da Costa, Renata M. C. R. de Souza

Proceedings of the FUZZ-IEEE 2011, 2011

A partitioning method for symbolic interval data based on kernelized metric.

Bruno A. Pimentel, Anderson F. B. F. da Costa, Renata M. C. R. de Souza

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

A kernel k-means clustering method for symbolic interval data.

Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza

Proceedings of the International Joint Conference on Neural Networks, 2010

K-means Clustering for Symbolic Interval Data Based on Aggregated Kernel Functions.

Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010