Ricardo J. G. B. Campello

Affiliations:
  • University of Newcastle, Callaghan, Australia
  • University of São Paulo, Brazil (former)


According to our database1, Ricardo J. G. B. Campello authored at least 106 papers between 1998 and 2021.

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Bibliography

2021
Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies.
IEEE Trans. Knowl. Data Eng., 2021

Hierarchical Density-Based Clustering Using MapReduce.
IEEE Trans. Big Data, 2021

Cattle counting in the wild with geolocated aerial images in large pasture areas.
Comput. Electron. Agric., 2021

2020
Density-based clustering.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2020

Internal Evaluation of Unsupervised Outlier Detection.
ACM Trans. Knowl. Discov. Data, 2020

Pre-processing approaches for collaborative filtering based on hierarchical clustering.
Inf. Sci., 2020

Correction to: A unified view of density-based methods for semi-supervised clustering and classification.
Data Min. Knowl. Discov., 2020

The Area Under the ROC Curve as a Measure of Clustering Quality.
CoRR, 2020

Model-Based Clustering with HDBSCAN.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
Combining semantic and term frequency similarities for text clustering.
Knowl. Inf. Syst., 2019

Boosting collaborative filtering with an ensemble of co-trained recommenders.
Expert Syst. Appl., 2019

A unified view of density-based methods for semi-supervised clustering and classification.
Data Min. Knowl. Discov., 2019

Evaluation of Unsupervised Learning Results: Making the Seemingly Impossible Possible.
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019

2018
Relative Validity Criteria for Community Mining Algorithms.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

MustaCHE: A Multiple Clustering Hierarchies Explorer.
Proc. VLDB Endow., 2018

A unified framework of density-based clustering for semi-supervised classification.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

CoRec: a co-training approach for recommender systems.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Case recommender: a flexible and extensible python framework for recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017
Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users' Feedback.
J. Inf. Data Manag., 2017

Improving k-means through distributed scalable metaheuristics.
Neurocomputing, 2017

A systematic comparative evaluation of biclustering techniques.
BMC Bioinform., 2017

Efficient Computation of Multiple Density-Based Clustering Hierarchies.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
On strategies for building effective ensembles of relative clustering validity criteria.
Knowl. Inf. Syst., 2016

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.
Data Min. Knowl. Discov., 2016

Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Exploiting different users' interactions for profiles enrichment in recommender systems.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

On the Evaluation of Outlier Detection and One-Class Classification Methods.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection.
ACM Trans. Knowl. Discov. Data, 2015

Asymmetric Volterra Models Based on Ladder-Structured Generalized Orthonormal Basis Functions.
IEEE Trans. Autom. Control., 2015

Comparing hard and overlapping clusterings.
J. Mach. Learn. Res., 2015

Comparison of distributed evolutionary k-means clustering algorithms.
Neurocomputing, 2015

A Cluster Based Hybrid Feature Selection Approach.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Relative Validity Criteria for Community Mining Algorithms.
Encyclopedia of Social Network Analysis and Mining, 2014

Similarity Measures for Comparing Biclusterings.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Evolutionary k-means for distributed data sets.
Neurocomputing, 2014

On the selection of appropriate distances for gene expression data clustering.
BMC Bioinform., 2014

Data perturbation for outlier detection ensembles.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Density-Based Clustering Validation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Model Selection for Semi-Supervised Clustering.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Active Learning Strategies for Semi-Supervised DBSCAN.
Proceedings of the Advances in Artificial Intelligence, 2014

2013
Takagi-Sugeno Fuzzy Models in the Framework of Orthonormal Basis Functions.
IEEE Trans. Cybern., 2013

Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Communities validity: methodical evaluation of community mining algorithms.
Soc. Netw. Anal. Min., 2013

Ensembles for unsupervised outlier detection: challenges and research questions a position paper.
SIGKDD Explor., 2013

Cluster ensemble selection based on relative validity indexes.
Data Min. Knowl. Discov., 2013

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies.
Data Min. Knowl. Discov., 2013

On the combination of relative clustering validity criteria.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Density-Based Clustering Based on Hierarchical Density Estimates.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Subsampling for efficient and effective unsupervised outlier detection ensembles.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Distributed K-Means Clustering with Low Transmission Cost.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines.
IEEE Trans. Fuzzy Syst., 2012

A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Automatic aspect discrimination in data clustering.
Pattern Recognit., 2012

An introduction to models based on Laguerre, Kautz and other related orthonormal functions - Part II: non-linear models.
Int. J. Model. Identif. Control., 2012

Evaluating Correlation Coefficients for Clustering Gene Expression Profiles of Cancer.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012

Combining Information from Distributed Evolutionary k-Means.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Relative Validity Criteria for Community Mining Algorithms.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Evolutionary fuzzy clustering of relational data.
Theor. Comput. Sci., 2011

An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part I: linear and uncertain models.
Int. J. Model. Identif. Control., 2011

Efficiency issues of evolutionary k-means.
Appl. Soft Comput., 2011

Automatic aspect discrimination in relational data clustering.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011

2010
Relative clustering validity criteria: A comparative overview.
Stat. Anal. Data Min., 2010

Generalized external indexes for comparing data partitions with overlapping categories.
Pattern Recognit. Lett., 2010

Evolutionary clustering of relational data.
Int. J. Hybrid Intell. Syst., 2010

A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Fuzzy Clustering-Based Filter.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

2009
Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues.
Proceedings of the Foundations of Computational Intelligence, 2009

A Survey of Evolutionary Algorithms for Clustering.
IEEE Trans. Syst. Man Cybern. Part C, 2009

Exact Search Directions for Optimization of Linear and Nonlinear Models Based on Generalized Orthonormal Functions.
IEEE Trans. Autom. Control., 2009

On comparing two sequences of numbers and its applications to clustering analysis.
Inf. Sci., 2009

On the efficiency of evolutionary fuzzy clustering.
J. Heuristics, 2009

On the Comparison of Relative Clustering Validity Criteria.
Proceedings of the SIAM International Conference on Data Mining, 2009

Comparison Among Methods for k Estimation in k-means.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Fast Evolutionary Algorithms for Relational Clustering.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
Genetic Clustering for Data Mining.
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008

An optimal expansion of Volterra models using independent Kautz bases for each kernel dimension.
Int. J. Control, 2008

A Robust Methodology for Comparing Performances of Clustering Validity Criteria.
Proceedings of the Advances in Artificial Intelligence, 2008

2007
A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment.
Pattern Recognit. Lett., 2007

Choice of free parameters in expansions of discrete-time Volterra models using Kautz functions.
Autom., 2007

Design of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

A Fuzzy Variant of an Evolutionary Algorithm for Clustering.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Hierarchical fuzzy relational models: linguistic interpretation and universal approximation.
IEEE Trans. Fuzzy Syst., 2006

Evolving clusters in gene-expression data.
Inf. Sci., 2006

A fuzzy extension of the silhouette width criterion for cluster analysis.
Fuzzy Sets Syst., 2006

A note on the optimal expansion of Volterra models using Laguerre functions.
Autom., 2006

Application of Hierarchical Neural Fuzzy Models to Modeling and Control of a Bioprocess.
Appl. Artif. Intell., 2006

GA Optimization of OBF TS Fuzzy Models with Linear and Non Linear Local Models.
Proceedings of the SBRN 2006, 2006

A Learning Object on Computational Intelligence.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006

GA Optimization of Generalized OBF TS Fuzzy Models with Global and Local Estimation Approaches.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Towards a Fast Evolutionary Algorithm for Clustering.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2004
Optimal expansions of discrete-time Volterra models using Laguerre functions.
Autom., 2004

Evolutionary Algorithms for Clustering Gene-Expression Data.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Improving the Efficiency of a Clustering Genetic Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2004

Evolutionary search for optimal fuzzy c-means clustering.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Control of a bioprocess using orthonormal basis function fuzzy models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Towards true linguistic modelling through optimal numerical solutions.
Int. J. Syst. Sci., 2003

2002
Arquiteturas e metodologias para modelagem e controle de sistemas complexos utilizando ferramentas classicas e modernas.
PhD thesis, 2002

Identification of a Multivariate Fermentation Process using Constructive Learning.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Takagi-Sugeno fuzzy models within orthonormal basis function framework and their application to process control.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Modeling and linguistic knowledge extraction from systems using fuzzy relational models.
Fuzzy Sets Syst., 2001

Optimal Laguerre series expansion of discrete volterra models.
Proceedings of the 6th European Control Conference, 2001

2000
Optimization of Hierarchical Neural Fuzzy Models.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998
A Highly Adaptive Algorithm for Fuzzy Modelling of Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998


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