Francisco de Assis Tenório de Carvalho - researchr alias

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Viewing Publication 1 - 17 from 17

2022

Clustering interval-valued data with adaptive Euclidean and City-Block distancesSara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho. eswa, 198:116774, 2022. [doi]

2020

PSO for Fuzzy Clustering of Multi-view Relational DataRene Pereira de Gusmao, Francisco de Assis Tenório de Carvalho. ijprai, 34(9), 2020. [doi]

2019

Adaptive- L_2 L 2 Batch Neural GasNicomedes L. Cavalcanti, Marcelo Rodrigo Portela Ferreira, Francisco de Assis Tenório de Carvalho. icann 2019: 84-95 [doi]

Clustering interval-valued data with automatic variables weightingSara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho. ijcnn 2019: 1-8 [doi]

A new fuzzy clustering algorithm for interval-valued data based on City-Block distanceSara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho. fuzzIEEE 2019: 1-6 [doi]

2018

Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued DataSara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho. icann 2018: 695-705 [doi]

2016

Particle Swarm Optimization applied to relational data clusteringRene Pereira de Gusmao, Francisco de Assis Tenório de Carvalho. SMC 2016: 1690-1695 [doi]

2014

An adjustable p-exponential clustering algorithmValmir Macário Filho, Francisco de Assis Tenório de Carvalho. esann 2014: [doi]

2012

A pattern classifier for interval-valued data based on multinomial logistic regression modelAlberto Pereira de Barros, Francisco de Assis Tenório de Carvalho, Eufrasio de Andrade Lima Neto. SMC 2012: 541-546 [doi]

2011

Symbolic data analysis tools for recommendation systemsByron Leite Dantas Bezerra, Francisco de Assis Tenório de Carvalho. kais, 26(3):385-418, 2011. [doi]

Normalizing Constrained Symbolic Data for ClusteringMarc Csernel, Francisco de Assis Tenório de Carvalho. hdsda 2013: 58-77 [doi]

2010

Recent advances in partitioning clustering algorithms for interval-valued dataFrancisco de Assis Tenório de Carvalho. f-egc 2010: 19-20

A new approach for semi-supervised clustering based on Fuzzy C-MeansValmir Macário Filho, Francisco de Assis Tenório de Carvalho. fuzzIEEE 2010: 1-8 [doi]

Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression DataClerton Ribeiro, Francisco de Assis Tenório de Carvalho, Ivan G. Costa. wob 2010: 25-34 [doi]

2009

Bivariate Generalized Linear Model for Interval-Valued VariablesEufrasio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa. ijcnn 2009: 2226-2229 [doi]

2008

Nonlinear regression model to symbolic interval-valued variablesEufrasio de Andrade Lima Neto, Francisco de Assis Tenório de Carvalho. SMC 2008: 1247-1252 [doi]

2006

Characterizing visitor groups from web data streamsAlzennyr Da Silva, Francisco de Assis Tenório de Carvalho, Yves Lechevallier, Brigitte Trousse. grc 2006: 389-392 [doi]

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