Ricardo J. G. B. Campello

According to our database, Ricardo J. G. B. Campello authored at least 113 papers between 1998 and 2024.

Collaborative distances:

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2024

LDReg: Local Dimensionality Regularized Self-Supervised Learning.

Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey

CoRR, 2024

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis.

Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek

CoRR, 2024

2023

On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles.

Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Data Min. Knowl. Discov., 2023

2022

The area under the ROC curve as a measure of clustering quality.

Pablo A. Jaskowiak, Ivan G. Costa, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2022

Similarity-Based Unsupervised Evaluation of Outlier Detection.

Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods.

Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies.

Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento

IEEE Trans. Knowl. Data Eng., 2021

Hierarchical Density-Based Clustering Using MapReduce.

Joelson Antônio dos Santos, Syed Talat Iqbal, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Joerg Sander

IEEE Trans. Big Data, 2021

Cattle counting in the wild with geolocated aerial images in large pasture areas.

Victor Hugo Andrade Soares, Moacir A. Ponti, R. A. Gonçalves, Ricardo J. G. B. Campello

Comput. Electron. Agric., 2021

Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation.

Jonatan Møller Nuutinen Gøttcke, Arthur Zimek, Ricardo J. G. B. Campello

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

2020

Density-based clustering.

Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek

WIREs Data Mining Knowl. Discov., 2020

Internal Evaluation of Unsupervised Outlier Detection.

Henrique O. Marques, Ricardo J. G. B. Campello, Jörg Sander, Arthur Zimek

ACM Trans. Knowl. Discov. Data, 2020

Pre-processing approaches for collaborative filtering based on hierarchical clustering.

Fernando Soares de Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello

Inf. Sci., 2020

Correction to: A unified view of density-based methods for semi-supervised clustering and classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2020

Model-Based Clustering with HDBSCAN.

Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Combining semantic and term frequency similarities for text clustering.

Victor Hugo Andrade Soares, Ricardo J. G. B. Campello, Seyednaser Nourashrafeddin, Evangelos E. Milios, Murilo Coelho Naldi

Knowl. Inf. Syst., 2019

Boosting collaborative filtering with an ensemble of co-trained recommenders.

Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello

Expert Syst. Appl., 2019

A unified view of density-based methods for semi-supervised clustering and classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2019

Evaluation of Unsupervised Learning Results: Making the Seemingly Impossible Possible.

Ricardo J. G. B. Campello

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.

Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

MustaCHE: A Multiple Clustering Hierarchies Explorer.

Antônio C. Araújo Neto, Mario A. Nascimento, Jörg Sander, Ricardo J. G. B. Campello

Proc. VLDB Endow., 2018

A unified framework of density-based clustering for semi-supervised classification.

Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

CoRec: a co-training approach for recommender systems.

Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Case 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

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies.

Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jörg Sander, Ricardo J. G. B. Campello

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.

Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello

J. Inf. Data Manag., 2017

Improving k-means through distributed scalable metaheuristics.

Gilberto V. Oliveira, Felipe P. Coutinho, Ricardo J. G. B. Campello, Murilo Coelho Naldi

Neurocomputing, 2017

A systematic comparative evaluation of biclustering techniques.

Victor Alexandre Padilha, Ricardo J. G. B. Campello

BMC Bioinform., 2017

Efficient Computation of Multiple Density-Based Clustering Hierarchies.

Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

On strategies for building effective ensembles of relative clustering validity criteria.

Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander

Knowl. Inf. Syst., 2016

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.

Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle

Data Min. Knowl. Discov., 2016

Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking.

Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello

Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Exploiting different users' interactions for profiles enrichment in recommender systems.

Arthur F. Da Costa, Rafael D. Martins, Marcelo G. Manzato, Ricardo J. G. B. Campello

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

On the Evaluation of Outlier Detection and One-Class Classification Methods.

Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies.

Antonio J. L. Batista, Ricardo J. G. B. Campello, Jörg Sander

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.

Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander

ACM Trans. Knowl. Discov. Data, 2015

Asymmetric Volterra Models Based on Ladder-Structured Generalized Orthonormal Basis Functions.

Jeremias B. Machado, Ricardo J. G. B. Campello, Wagner C. Amaral

IEEE Trans. Autom. Control., 2015

Comparing hard and overlapping clusterings.

Danilo Horta, Ricardo J. G. B. Campello

J. Mach. Learn. Res., 2015

Comparison of distributed evolutionary k-means clustering algorithms.

Murilo Coelho Naldi, Ricardo J. G. B. Campello

Neurocomputing, 2015

A Cluster Based Hybrid Feature Selection Approach.

Pablo A. Jaskowiak, Ricardo J. G. B. Campello

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

Relative Validity Criteria for Community Mining Algorithms.

Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello

Encyclopedia of Social Network Analysis and Mining, 2014

Similarity Measures for Comparing Biclusterings.

Danilo Horta, Ricardo J. G. B. Campello

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Evolutionary k-means for distributed data sets.

Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello

Neurocomputing, 2014

On the selection of appropriate distances for gene expression data clustering.

Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa

BMC Bioinform., 2014

Data perturbation for outlier detection ensembles.

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Density-Based Clustering Validation.

Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Model Selection for Semi-Supervised Clustering.

Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel

Proceedings of the 17th International Conference on Extending Database Technology, 2014

Active Learning Strategies for Semi-Supervised DBSCAN.

Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek

Proceedings of the Advances in Artificial Intelligence, 2014

2013

Takagi-Sugeno Fuzzy Models in the Framework of Orthonormal Basis Functions.

Jeremias B. Machado, Ricardo J. G. B. Campello, Wagner Caradori do Amaral

IEEE Trans. Cybern., 2013

Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis.

Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Communities validity: methodical evaluation of community mining algorithms.

Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello

Soc. Netw. Anal. Min., 2013

Ensembles for unsupervised outlier detection: challenges and research questions a position paper.

Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander

SIGKDD Explor., 2013

Cluster ensemble selection based on relative validity indexes.

Murilo Coelho Naldi, André C. P. L. F. de Carvalho, Ricardo J. G. B. Campello

Data Min. Knowl. Discov., 2013

A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies.

Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander

Data Min. Knowl. Discov., 2013

On the combination of relative clustering validity criteria.

Lucas Vendramin, Pablo A. Jaskowiak, Ricardo J. G. B. Campello

Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Density-Based Clustering Based on Hierarchical Density Estimates.

Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Subsampling for efficient and effective unsupervised outlier detection ensembles.

Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Distributed K-Means Clustering with Low Transmission Cost.

Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines.

Luiz F. S. Coletta, Lucas Vendramin, Eduardo R. Hruschka, Ricardo J. G. B. Campello, Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2012

A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data.

Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Automatic aspect discrimination in data clustering.

Danilo Horta, Ricardo J. G. B. Campello

Pattern Recognit., 2012

An introduction to models based on Laguerre, Kautz and other related orthonormal functions - Part II: non-linear models.

Gustavo Henrique Costa Oliveira, Alex da Rosa, Ricardo J. G. B. Campello, Jeremias B. Machado, Wagner C. Amaral

Int. J. Model. Identif. Control., 2012

Evaluating Correlation Coefficients for Clustering Gene Expression Profiles of Cancer.

Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa

Proceedings of the Advances in Bioinformatics and Computational Biology, 2012

Combining Information from Distributed Evolutionary k-Means.

Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Relative Validity Criteria for Community Mining Algorithms.

Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Evolutionary fuzzy clustering of relational data.

Danilo Horta, Ivan C. de Andrade, Ricardo J. G. B. Campello

Theor. Comput. Sci., 2011

An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part I: linear and uncertain models.

Gustavo Henrique Costa Oliveira, Alex da Rosa, Ricardo J. G. B. Campello, Jeremias B. Machado, Wagner C. Amaral

Int. J. Model. Identif. Control., 2011

Efficiency issues of evolutionary k-means.

Murilo Coelho Naldi, Ricardo J. G. B. Campello, Eduardo R. Hruschka, André C. P. L. F. de Carvalho

Appl. Soft Comput., 2011

Automatic aspect discrimination in relational data clustering.

Danilo Horta, Ricardo J. G. B. Campello

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters.

Lucas Vendramin, Ricardo José Gabrielli Barreto Campello, Luiz F. S. Coletta, Eduardo R. Hruschka

Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011

2010

Relative clustering validity criteria: A comparative overview.

Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka

Stat. Anal. Data Min., 2010

Generalized external indexes for comparing data partitions with overlapping categories.

Ricardo J. G. B. Campello

Pattern Recognit. Lett., 2010

Evolutionary clustering of relational data.

Danilo Horta, Ricardo J. G. B. Campello

Int. J. Hybrid Intell. Syst., 2010

A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination.

Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Thiago F. Covoes, Eduardo R. Hruschka

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Fuzzy Clustering-Based Filter.

Luiz F. S. Coletta, Eduardo R. Hruschka, Thiago F. Covoes, Ricardo J. G. B. Campello

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

Robust expansion of uncertain Volterra kernels into orthonormal series.

Alex da Rosa, Ricardo J. G. B. Campello, Paulo A. V. Ferreira, Gustavo Henrique Costa Oliveira, Wagner C. Amaral

Proceedings of the American Control Conference, 2010

2009

Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues.

Danilo Horta, Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho

Proceedings of the Foundations of Computational Intelligence, 2009

A Survey of Evolutionary Algorithms for Clustering.

Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho

IEEE Trans. Syst. Man Cybern. Part C, 2009

Exact Search Directions for Optimization of Linear and Nonlinear Models Based on Generalized Orthonormal Functions.

Alex da Rosa, Ricardo J. G. B. Campello, Wagner C. Amaral

IEEE Trans. Autom. Control., 2009

On comparing two sequences of numbers and its applications to clustering analysis.

Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka

Inf. Sci., 2009

On the efficiency of evolutionary fuzzy clustering.

Ricardo J. G. B. Campello, Eduardo R. Hruschka, Vinicius S. Alves

J. Heuristics, 2009

On the Comparison of Relative Clustering Validity Criteria.

Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka

Proceedings of the SIAM International Conference on Data Mining, 2009

Comparison Among Methods for k Estimation in k-means.

Murilo Coelho Naldi, Andre Fontana, Ricardo J. G. B. Campello

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Fast Evolutionary Algorithms for Relational Clustering.

Danilo Horta, Ricardo J. G. B. Campello

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008

Genetic Clustering for Data Mining.

Murilo Coelho Naldi, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka

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.

Alex da Rosa, Ricardo J. G. B. Campello, Wagner C. Amaral

Int. J. Control, 2008

A Robust Methodology for Comparing Performances of Clustering Validity Criteria.

Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka

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.

Ricardo J. G. B. Campello

Pattern Recognit. Lett., 2007

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

Alex da Rosa, Ricardo J. G. B. Campello, Wagner C. Amaral

Autom., 2007

Design of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria.

Jeremias B. Machado, Wagner C. Amaral, Ricardo J. G. B. Campello

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

A Fuzzy Variant of an Evolutionary Algorithm for Clustering.

Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka

Proceedings of the FUZZ-IEEE 2007, 2007

2006

Hierarchical fuzzy relational models: linguistic interpretation and universal approximation.

Ricardo J. G. B. Campello, Wagner Caradori do Amaral

IEEE Trans. Fuzzy Syst., 2006

Evolving clusters in gene-expression data.

Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro

Inf. Sci., 2006

A fuzzy extension of the silhouette width criterion for cluster analysis.

Ricardo J. G. B. Campello, Eduardo R. Hruschka

Fuzzy Sets Syst., 2006

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

Ricardo J. G. B. Campello, Wagner Caradori do Amaral, Gérard Favier

Autom., 2006

Application of Hierarchical Neural Fuzzy Models to Modeling and Control of a Bioprocess.

Luiz Augusto da Cruz Meleiro, Ricardo José Gabrielli Barreto Campello, Rubens Maciel Filho, Wagner Caradori do Amaral

Appl. Artif. Intell., 2006

GA Optimization of OBF TS Fuzzy Models with Linear and Non Linear Local Models.

Anderson V. Medeiros, Wagner C. Amaral, Ricardo J. G. B. Campello

Proceedings of the SBRN 2006, 2006

A Learning Object on Computational Intelligence.

Fábio A. P. Reis, Igor C. Félix, Silvio Luiz Stanzani, Ricardo J. G. B. Campello, Leandro Nunes de Castro, Hermes Senger, Marta C. Rosatelli

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.

Anderson V. Medeiros, Wagner C. Amaral, Ricardo J. G. B. Campello

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Towards a Fast Evolutionary Algorithm for Clustering.

Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2004

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

Ricardo J. G. B. Campello, Gérard Favier, Wagner Caradori do Amaral

Autom., 2004

Evolutionary Algorithms for Clustering Gene-Expression Data.

Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Improving the Efficiency of a Clustering Genetic Algorithm.

Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro

Proceedings of the Advances in Artificial Intelligence, 2004

Evolutionary search for optimal fuzzy c-means clustering.

Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Control of a bioprocess using orthonormal basis function fuzzy models.

Ricardo J. G. B. Campello, Luiz Augusto da Cruz Meleiro, Wagner C. Amaral

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003

Towards true linguistic modelling through optimal numerical solutions.

Ricardo J. G. B. Campello, Wagner C. Amaral

Int. J. Syst. Sci., 2003

2002

Arquiteturas e metodologias para modelagem e controle de sistemas complexos utilizando ferramentas classicas e modernas.

Ricardo José Gabrielli Barreto Campello

PhD thesis, 2002

Identification of a Multivariate Fermentation Process using Constructive Learning.

Luiz Augusto da Cruz Meleiro, Ricardo J. G. B. Campello, Rubens Maciel Filho, Fernando J. Von Zuben

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.

Ricardo J. G. B. Campello, Wagner C. Amaral

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001

Modeling and linguistic knowledge extraction from systems using fuzzy relational models.

Ricardo J. G. B. Campello, Wagner C. Amaral

Fuzzy Sets Syst., 2001

Optimal Laguerre series expansion of discrete volterra models.

Ricardo J. G. B. Campello, Wagner C. Amaral, Gérard Favier

Proceedings of the 6th European Control Conference, 2001

2000

Optimization of Hierarchical Neural Fuzzy Models.

Ricardo J. G. B. Campello, Wagner C. Amaral

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998

A Highly Adaptive Algorithm for Fuzzy Modelling of Systems.

Ricardo J. G. B. Campello, Rubén Mario Nazzetta, Wagner Caradori do Amaral

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998