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Rosana Veroneze
Rosana Veroneze
Postdoc at Université catholique de Louvain
Verified email at uclouvain.be
Title
Cited by
Cited by
Year
Enumerating all maximal biclusters in numerical datasets
R Veroneze, A Banerjee, FJ Von Zuben
Information Sciences 379, 288-309, 2017
302017
Packer classification based on association rule mining
KHT Dam, T Given-Wilson, A Legay, R Veroneze
Applied Soft Computing 127, 109373, 2022
192022
Assessing the performance of a swarm-based biclustering technique for data imputation
R Veroneze, FO de França, FJ Von Zuben
2011 IEEE congress of evolutionary computation (CEC), 386-393, 2011
142011
Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases
R Veroneze, S Cruz Tfaile Corbi, B Roque da Silva, C de S. Rocha, ...
Plos one 15 (10), e0240269, 2020
112020
Tratamento de dados faltantes empregando biclusterização com imputação múltipla
R Veroneze
UNIVERSIDADE ESTADUAL DE CAMPINAS, 2011
112011
Rl-net: Interpretable rule learning with neural networks
L Dierckx, R Veroneze, S Nijssen
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 95-107, 2023
92023
On bicluster aggregation and its benefits for enumerative solutions
S Oliveira, R Veroneze, FJ Von Zuben
Machine Learning and Data Mining in Pattern Recognition: 11th International …, 2015
82015
Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets
R Veroneze, FJ Von Zuben
Engineering Applications of Artificial Intelligence 100, 104147, 2021
42021
Efficient mining of maximal biclusters in mixed-attribute datasets
R Veroneze, FJ Von Zuben
arXiv preprint arXiv:1710.03289, 2017
42017
A multiobjective analysis of adaptive clustering algorithms for the definition of RBF neural network centers in regression problems
R Veroneze, AR Gonçalves, FJ Von Zuben
Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012
32012
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets
R Veroneze, FJ Von Zuben
arXiv preprint arXiv:1810.07725, 2018
22018
Máquinas de vetores-suporte
IAPFJ Von Zuben, R Veroneze
Departamento de Computação Aplicada, Faculdade de Engenharia Elétrica e de …, 2013
22013
Assessing the effect of Aedes (Stegomyia) aegypti (Linnaeus, 1762) control based on machine learning for predicting the spatiotemporal distribution of eggs in ovitraps
R Piovezan, TS de Azevedo, E Faria, R Veroneze, CJ Von Zuben, ...
Dialogues in Health 1, 100003, 2022
12022
New advances in enumerative biclustering algorithms with online partitioning
R Veroneze, FJ Von Zuben
arXiv preprint arXiv:2003.04726, 2020
12020
Feature selection for packer classification based on association rule mining
R Veroneze, CHB Van Ouytsel, KHT Dam, A Legay
Engineering Applications of Artificial Intelligence 137, 109083, 2024
2024
Validação de genes prospectados computacionalmente após transcriptoma de pacientes com diabetes, dislipidemia e periodontite
BR da SILVA, R VERONEZE, SCT CORBI, CV MAURER-MORELLI, ...
Revista de Odontologia da UNESP 49 (Especial), 140-0, 2021
2021
Convergence Analysis of Global Optimization in Seismic Data Processing
R Veroneze, EZ Nadalin, R Granzotti, T Souza, R Lopes
15th International Congress of the Brazilian Geophysical Society & EXPOGEF …, 2017
2017
Enumerating all maximal biclusters in numerical datasets= Enumerando todos os biclusters maximais em conjuntos de dados numéricos
R Veroneze
[sn], 2016
2016
On bicluster aggregation and its benefits for enumerative solutions
S Haniell Galvão de Oliveira, R Veroneze, F José Von Zuben
arXiv e-prints, arXiv: 1506.01077, 2015
2015
The influence of supervised clustering for RBFNN centers definition: A comparative study
AR Gonçalves, R Veroneze, S Madeiro, CRB Azevedo, FJ Von Zuben
Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012
2012
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Articles 1–20