Ricardo J. G. B. Campello
Ricardo J. G. B. Campello
Full Professor, School of Mathematical and Physical Sciences, University of Newcastle
Verified email at newcastle.edu.au - Homepage
Cited by
Cited by
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
Density-based clustering based on hierarchical density estimates
RJGB Campello, D Moulavi, J Sander
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 160-172, 2013
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
Relative clustering validity criteria: A comparative overview
L Vendramin, RJGB Campello, ER Hruschka
Statistical Analysis and Data Mining 3 (4), 209-235, 2010
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
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
A fuzzy extension of the silhouette width criterion for cluster analysis
R Campello, ER Hruschka
Fuzzy Sets and Systems 157 (21), 2858-2875, 2006
Evolving clusters in gene-expression data
ER Hruschka, RJGB Campello, LN De Castro
Information Sciences 176 (13), 1898-1927, 2006
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
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
Optimal Expansions of Discrete-Time Volterra Models using Laguerre Functions
RJGB Campello, G Favier, WC Amaral
IFAC Symposium on System Identification, 1844-1849, 2003
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 Do Amaral
Automatica 40 (5), 815-822, 2004
On the Selection of appropriate distances for gene expression data clustering
PA Jaskowiak, RJGB Campello, IG Costa
BMC Bioinformatics 15 (Suppl 2), S2, 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
Efficiency issues of evolutionary k-means
MC Naldi, RJGB Campello, ER Hruschka, A Carvalho
Applied Soft Computing 11 (2), 1938-1952, 2011
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
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
A systematic comparative evaluation of biclustering techniques
VA Padilha, RJGB Campello
BMC bioinformatics 18 (1), 55, 2017
Cluster ensemble selection based on relative validity indexes
MC Naldi, A Carvalho, R Campello
Data Mining and Knowledge Discovery 27 (2), 259-289, 2013
The system can't perform the operation now. Try again later.
Articles 1–20