Personal information

Brazil

Activities

Employment (1)

Universidade de São Paulo Instituto de Ciências Matemáticas e de Computação: Sao Carlos, SP, BR

2017-01 to present | PhD Candidate (Computer Science)
Employment
Source: Self-asserted source
Victor Padilha

Education and qualifications (4)

Universidade de São Paulo Instituto de Ciências Matemáticas e de Computação: Sao Carlos, SP, BR

2017-01 to present | PhD (Computer Science and Computational Mathematics)
Education
Source: Self-asserted source
Victor Padilha

Albert-Ludwigs-Universität Freiburg: Freiburg im Breisgau, Baden-Württemberg, DE

2018-11 to 2019-10 | Visiting Scholar (Bioinformatics Group)
Education
Source: Self-asserted source
Victor Padilha

Universidade de São Paulo Instituto de Ciências Matemáticas e de Computação: Sao Carlos, SP, BR

2014-03 to 2016-09 | MSc (Computer Science and Computational Mathematics)
Education
Source: Self-asserted source
Victor Padilha

Universidade Estadual do Centro-Oeste: Guarapuava, PR, BR

2010-02 to 2013-12 | BSc (Computer Science)
Education
Source: Self-asserted source
Victor Padilha

Works (5)

Experimental correlation analysis of bicluster coherence measures and gene ontology information

Applied Soft Computing Journal
2019 | Journal article
EID:

2-s2.0-85071265563

Contributors: Padilha, V.A.; Carvalho, A.C.P.D.L.F.D.
Source: Self-asserted source
Victor Padilha via Scopus - Elsevier

A comparison of hierarchical biclustering ensemble methods

Proceedings - 2017 Brazilian Conference on Intelligent Systems, BRACIS 2017
2018 | Conference paper
EID:

2-s2.0-85049502378

Contributors: Padilha, V.A.; De Carvalho, A.C.P.D.L.F.
Source: Self-asserted source
Victor Padilha via Scopus - Elsevier

A study of biclustering coherence measures for gene expression data

Proceedings - 2018 Brazilian Conference on Intelligent Systems, BRACIS 2018
2018 | Conference paper
EID:

2-s2.0-85060872030

Contributors: Padilha, V.A.; Carvalho, A.C.P.D.L.F.D.
Source: Self-asserted source
Victor Padilha via Scopus - Elsevier

A systematic comparative evaluation of biclustering techniques

BMC Bioinformatics
2017 | Journal article
EID:

2-s2.0-85010918179

Contributors: Padilha, V.A.; Campello, R.J.G.B.
Source: Self-asserted source
Victor Padilha via Scopus - Elsevier

Training strategies for Radial Basis Function Neural Networks: A study applied to prostate cancer prognosis

38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings
2012 | Conference paper
EID:

2-s2.0-84874307386

Contributors: Rautenberg, S.; De Ré, A.M.; Hernandes, F.; Urio, P.R.; Alexandre Padilha, V.; José De Paula Castanho, M.
Source: Self-asserted source
Victor Padilha via Scopus - Elsevier