Skip to content

Ricardo J. G. B. Campello

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

36

Venues

20

Active years

2000–2025

Best venue rank

A*

Where they publish

Papers

36 indexed papers, newest first.

YearVenueTitleAuthors
2025SISAPIntrinsic Dimension, Degrees of Freedom, Odds and Uniformity: A Unified Perspective.James Bailey, Ricardo J. G. B. Campello, Michael E. Houle
2024ICLRLDReg: Local Dimensionality Regularized Self-Supervised Learning.Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
2024SDMDimensionality-Aware Outlier Detection.Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
2024SISAPBayesian Estimation Approaches for Local Intrinsic Dimensionality.Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey
2024SISAPRobust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers.Philipp Rchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf
2022ICDECORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods.Antnio Cavalcante Arajo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jrg Sander
2022SISAPSimilarity-Based Unsupervised Evaluation of Outlier Detection.Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jrg Sander
2021SISAPNon-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation.Jonatan Mller Nuutinen Gttcke, Arthur Zimek, Ricardo J. G. B. Campello
2019SDMEvaluation of Unsupervised Learning Results: Making the Seemingly Impossible Possible.Ricardo J. G. B. Campello
2018AusDMA Modularity-Based Measure for Cluster Selection from Clustering Hierarchies.Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jrg Sander, Ricardo J. G. B. Campello
2018RecSysCase recommender: a flexible and extensible python framework for recommender systems.Arthur F. Da Costa, Eduardo P. Fressato, Fernando Soares de Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello
2018SACCoRec: a co-training approach for recommender systems.Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
2018SSDBMA unified framework of density-based clustering for semi-supervised classification.Jadson Castro Gertrudes, Arthur Zimek, Jrg Sander, Ricardo J. G. B. Campello
2017ICDMEfficient Computation of Multiple Density-Based Clustering Hierarchies.Antnio Cavalcante Arajo Neto, Jrg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento
2016DSAAActive Semi-Supervised Classification Based on Multiple Clustering Hierarchies.Antonio J. L. Batista, Ricardo J. G. B. Campello, Jrg Sander
2016DSAAOn the Evaluation of Outlier Detection and One-Class Classification Methods.Lorne Swersky, Henrique O. Marques, Jrg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2016SACExploiting different users' interactions for profiles enrichment in recommender systems.Arthur F. Da Costa, Rafael D. Martins, Marcelo G. Manzato, Ricardo J. G. B. Campello
2015SSDBMOn the internal evaluation of unsupervised outlier detection.Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander
2014AIActive Learning Strategies for Semi-Supervised DBSCAN.Jundong Li, Jrg Sander, Ricardo J. G. B. Campello, Arthur Zimek
2014EDBTModel Selection for Semi-Supervised Clustering.Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander, Randy Goebel
2014SDMDensity-Based Clustering Validation.Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jrg Sander
2014SSDBMData perturbation for outlier detection ensembles.Arthur Zimek, Ricardo J. G. B. Campello, Jrg Sander
2013KDDSubsampling for efficient and effective unsupervised outlier detection ensembles.Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jrg Sander
2013PAKDDDensity-Based Clustering Based on Hierarchical Density Estimates.Ricardo J. G. B. Campello, Davoud Moulavi, Jrg Sander
2013SSDBMOn the combination of relative clustering validity criteria.Lucas Vendramin, Pablo A. Jaskowiak, Ricardo J. G. B. Campello
2011ISDAAutomatic aspect discrimination in relational data clustering.Danilo Horta, Ricardo J. G. B. Campello
2010IPMUFuzzy Clustering-Based Filter.Luiz F. S. Coletta, Eduardo R. Hruschka, Thiago F. Covoes, Ricardo J. G. B. Campello
2009ISDAFast Evolutionary Algorithms for Relational Clustering.Danilo Horta, Ricardo J. G. B. Campello
2009ISDAComparison Among Methods for k Estimation in k-means.Murilo Coelho Naldi, Andre Fontana, Ricardo J. G. B. Campello
2009SDMOn the Comparison of Relative Clustering Validity Criteria.Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka
2007ICTAIDesign of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria.Jeremias B. Machado, Wagner C. Amaral, Ricardo J. G. B. Campello
2006CECTowards a Fast Evolutionary Algorithm for Clustering.Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka
2006ICALTA Learning Object on Computational Intelligence.Fbio A. P. Reis, Igor C. Flix, Silvio Luiz Stanzani, Ricardo J. G. B. Campello, Leandro Nunes de Castro, Hermes Senger, Marta C. Rosatelli
2004ICDMEvolutionary Algorithms for Clustering Gene-Expression Data.Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello
2004IJCNNAn evolutionary clustering technique with local search to design RBF neural network classifiers.Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo J. G. B. Campello
2000IJCNNOptimization of Hierarchical Neural Fuzzy Models.Ricardo J. G. B. Campello, Wagner C. Amaral