Marcelo Rodrigo Portela Ferreira

According to our database, Marcelo Rodrigo Portela Ferreira authored at least 14 papers between 2009 and 2022.

Collaborative distances:

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

2022

Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting.

José Nataniel A. de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2019

Adaptive- L_2 L 2 Batch Neural Gas.

Nicomedes L. Cavalcanti, Marcelo Rodrigo Portela Ferreira, Francisco de Assis Tenório de Carvalho

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters.

Francisco de A. T. de Carvalho, Eduardo C. Simões, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira

Pattern Recognit., 2018

Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation.

Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

A robust regression method based on exponential-type kernel functions.

Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira

Neurocomputing, 2017

2016

Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho, Eduardo C. Simões

Pattern Recognit., 2016

A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.

Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simões

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

2014

Kernel-based hard clustering methods in the feature space with automatic variable weighting.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Pattern Recognit., 2014

Kernel fuzzy c-means with automatic variable weighting.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Fuzzy Sets Syst., 2014

A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

Partitioning hard kernel clustering methods based on local adaptive distances.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

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

Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data.

Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo Rodrigo Portela Ferreira

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Kernel fuzzy clustering methods based on local adaptive distances.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Proceedings of the FUZZ-IEEE 2012, 2012

2009

New Bootstrap Applications in Supervised Learning.

Getúlio Jose Amorim Amaral, Marcelo Rodrigo Portela Ferreira

Commun. Stat. Simul. Comput., 2009