Ricardo J. G. B. Campello
Ricardo J. G. B. Campello
Full Professor, Dept. of Mathematics and Computer Science, University of Southern Denmark
Потвърден имейл адрес: imada.sdu.dk - Начална страница
Density-based clustering based on hierarchical density estimates
RJGB Campello, D Moulavi, J Sander
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013
A survey of evolutionary algorithms for clustering
ER Hruschka, RJGB Campello, AA Freitas, ACPLF De Carvalho
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2009
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ...
Data Mining and Knowledge Discovery, 1-37, 2016
Hierarchical density estimates for data clustering, visualization, and outlier detection
RJGB Campello, D Moulavi, A Zimek, J Sander
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 1-51, 2015
Relative clustering validity criteria: A comparative overview
L Vendramin, RJGB Campello, ER Hruschka
Statistical Analysis and Data Mining 3 (4), 209-235, 2010
A fuzzy extension of the silhouette width criterion for cluster analysis
R Campello, ER Hruschka
Fuzzy Sets and Systems 157 (21), 2858-2875, 2006
Ensembles for unsupervised outlier detection: challenges and research questions a position paper
A Zimek, RJGB Campello, J Sander
ACM SIGKDD Explorations Newsletter 15 (1), 11-22, 2014
Density-based clustering validation
D Moulavi, PA Jaskowiak, R Campello, A Zimek, J Sander
Proceedings of the 14th SIAM International Conference on Data Mining (SDM …, 2014
Subsampling for efficient and effective unsupervised outlier detection ensembles
A Zimek, M Gaudet, RJGB Campello, J Sander
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment
RJGB Campello
Pattern Recognition Letters 28 (7), 833-841, 2007
Evolving clusters in gene-expression data
ER Hruschka, RJGB Campello, LN De Castro
Information Sciences 176 (13), 1898-1927, 2006
On the Selection of appropriate distances for gene expression data clustering
PA Jaskowiak, RJGB Campello, IG Costa
BMC Bioinformatics 15 (Suppl 2), S2, 2014
On the comparison of relative clustering validity criteria
L Vendramin, R Campello, ER Hruschka
Proceedings of the SIAM International Conference on Data Mining, SIAM, 733-744, 2009
Optimal Expansions of Discrete-Time Volterra Models using Laguerre Functions
RJGB Campello, G Favier, WC Amaral
IFAC Symposium on System Identification, 1844-1849, 2003
Efficiency issues of evolutionary k-means
MC Naldi, RJGB Campello, ER Hruschka, A Carvalho
Applied Soft Computing 11 (2), 1938-1952, 2011
A systematic comparative evaluation of biclustering techniques
VA Padilha, RJGB Campello
BMC bioinformatics 18, 1-25, 2017
Optimal expansions of discrete-time Volterra models using Laguerre functions
RJGB Campello, G Favier, WC Do Amaral
Automatica 40 (5), 815-822, 2004
Density‐based clustering
RJGB Campello, P Kröger, J Sander, A Zimek
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020
Evolutionary algorithms for clustering gene-expression data
ER Hruschka, LN de Castro, RJGB Campello
Data Mining, 2004. ICDM'04. Fourth IEEE International Conference on, 403-406, 2004
Collaborative fuzzy clustering algorithms: Some refinements and design guidelines
LFS Coletta, L Vendramin, ER Hruschka, RJGB Campello, W Pedrycz
IEEE Transactions on Fuzzy Systems 20 (3), 444-462, 2012
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