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ORCIDMarcelo Rodrigo Portela Ferreira
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2020 – today
- 2022
[c8]José Nataniel A. de Sá, Marcelo Rodrigo Portela Ferreira
, Francisco de A. T. de Carvalho:
Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting. FUZZ-IEEE 2022: 1-8
2010 – 2019
- 2019
- [c7]Nicomedes L. Cavalcanti, Marcelo Rodrigo Portela Ferreira, Francisco de Assis Tenório de Carvalho:
Adaptive- L_2 L 2 Batch Neural Gas. ICANN (2) 2019: 84-95 - 2018
- [j6]Francisco de A. T. de Carvalho, Eduardo C. Simões, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira:
Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters. Pattern Recognit. 79: 370-386 (2018) - [c6]Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira:
Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation. ICANN (1) 2018: 685-694 - 2017
- [j5]Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira:
A robust regression method based on exponential-type kernel functions. Neurocomputing 234: 58-74 (2017) - 2016
- [j4]Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho, Eduardo C. Simões:
Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables. Pattern Recognit. 51: 310-321 (2016) - [c5]Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simões:
A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation. ISNN 2016: 393-400 - 2014
- [j3]Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho:
Kernel fuzzy c-means with automatic variable weighting. Fuzzy Sets Syst. 237: 1-46 (2014) - [j2]Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho:
Kernel-based hard clustering methods in the feature space with automatic variable weighting. Pattern Recognit. 47(9): 3082-3095 (2014) - [c4]Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho:
A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel. IJCNN 2014: 1885-1892 - 2012
- [c3]Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho:
Kernel fuzzy clustering methods based on local adaptive distances. FUZZ-IEEE 2012: 1-8 - [c2]Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo Rodrigo Portela Ferreira:
Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data. SBRN 2012: 25-30 - [c1]Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho:
Partitioning hard kernel clustering methods based on local adaptive distances. SMC 2012: 339-344
2000 – 2009
- 2009
- [j1]Getúlio Jose Amorim Amaral, Marcelo Rodrigo Portela Ferreira:
New Bootstrap Applications in Supervised Learning. Commun. Stat. Simul. Comput. 38(2): 416-425 (2009)
Coauthor Index
aka: Francisco de Assis Tenório de Carvalho
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