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1

Medoid based semi-supervised fuzzy clustering algorithms fo..:

P. Branco, Diogo P. ; T. de Carvalho, Francisco de A.
Fuzzy Sets and Systems. 469 (2023) - p. 108630 , 2023

Link: https://doi.org/10.1016/..

2

Gaussian kernel fuzzy c-means with width parameter computat..:

C. Simões, Eduardo ; T. de Carvalho, Francisco de A.
Pattern Recognition. 143 (2023) - p. 109749 , 2023

Link: https://doi.org/10.1016/..

3

Unsupervised feature selection method based on iterative si..:

Oliveira, Marcos de S. ; Queiroz, Sergio R. de M. ; Carvalho, Francisco de A.T. de
Expert Systems with Applications. 208 (2022) - p. 118092 , 2022

Link: https://doi.org/10.1016/..

4

Vector batch SOM algorithms for multi-view dissimilarity da..:

Mariño, Laura M.P. ; de Carvalho, Francisco de A.T.
Knowledge-Based Systems. 258 (2022) - p. 109994 , 2022

Link: https://doi.org/10.1016/..

5

Kernel-based Fuzzy Co-clustering in Feature Space with Auto..:

, In: 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),

de Sa, Jose Nataniel A. ; Ferreira, Marcelo R.P. ; de Carvalho, Francisco de A.T. - p. 1-8 , 2022

Link: https://doi.org/10.1109/..

6

Batch Self-Organizing Maps for Distributional Data with an ..:

de Carvalho, Francisco de A. T. ; Irpino, Antonio ; Verde, Rosanna.
Journal of Classification. 39 (2022) 2 - p. 343-375 , 2022

Link: https://doi.org/10.1007/..

7

Two weighted c-medoids batch SOM algorithms for dissimilari..:

Mariño, Laura M.P. ; de Carvalho, Francisco de A.T.
Information Sciences. 607 (2022) - p. 603-619 , 2022

Link: https://doi.org/10.1016/..

8

Weighted Clusterwise Linear Regression based on adaptive qu..:

da Silva, Ricardo A.M. ; de Carvalho, Francisco de A.T.
Expert Systems with Applications. 185 (2021) - p. 115609 , 2021

Link: https://doi.org/10.1016/..

9

Soft subspace clustering of interval-valued data with regul..:

Rodríguez, Sara I.R. ; de Carvalho, Francisco de A.T.
Knowledge-Based Systems. 227 (2021) - p. 107191 , 2021

Link: https://doi.org/10.1016/..

10

Fuzzy clustering algorithms with distance metric learning a..:

Rodríguez, Sara I.R. ; de Carvalho, Francisco de A.T.
Applied Soft Computing. 113 (2021) - p. 107922 , 2021

Link: https://doi.org/10.1016/..

11

Interval joint robust regression method:

de A.T. de Carvalho, Francisco ; de A. Lima Neto, Eufrásio ; da N. Rosendo, Ullysses
Neurocomputing. 465 (2021) - p. 265-288 , 2021

Link: https://doi.org/10.1016/..

12

Co-clustering algorithms for distributional data with autom..:

De Carvalho, Francisco de A.T. ; Balzanella, Antonio ; Irpino, Antonio.
Information Sciences. 549 (2021) - p. 87-115 , 2021

Link: https://doi.org/10.1016/..

13

A clusterwise nonlinear regression algorithm for interval-v..:

de Carvalho, Francisco de A.T. ; Lima Neto, Eufrásio de A. ; da Silva, Kassio C.F.
Information Sciences. 555 (2021) - p. 357-385 , 2021

Link: https://doi.org/10.1016/..

14

A new batch SOM algorithm for relational data with weighted..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),

Marino, Laura M. P. ; de A.T. de Carvalho, Francisco - p. 1-8 , 2020

Link: https://doi.org/10.1109/..

15

A Multiview Clustering Approach for Mining Authorial Affini..:

, In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS),

Duque, Andrea B. ; de Carvalho, Francisco de A. T. ; Vimieiro, Renato - p. 818-823 , 2019

Link: https://doi.org/10.1109/..

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