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ORCIDRicardo J. G. B. Campello
Ricardo José Gabrielli Barreto Campello
Person information
- affiliation: University of Newcastle, Callaghan, Australia
- affiliation (former): University of São Paulo, Brazil
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2020 – today
- 2025
[j60]Jonatan M. N. Gøttcke
, Arthur Zimek, Ricardo J. G. B. Campello:
Bayesian label distribution propagation: A semi-supervised probabilistic k nearest neighbor classifier. Inf. Syst. 129: 102507 (2025)- 2024
- [j59]Victor Hugo Andrade Soares, Moacir A. Ponti, Ricardo J. G. B. Campello:
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images. Comput. Electron. Agric. 220: 108828 (2024) - [j58]Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek:
Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures. Data Min. Knowl. Discov. 38(6): 3719-3757 (2024) - [c56]Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey:
LDReg: Local Dimensionality Regularized Self-Supervised Learning. ICLR 2024 - [c55]Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek:
Dimensionality-Aware Outlier Detection. SDM 2024: 652-660 - [c54]Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey:
Bayesian Estimation Approaches for Local Intrinsic Dimensionality. SISAP 2024: 111-125 - [c53]Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf:
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers. SISAP 2024: 215-222 - [i6]Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek:
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis. CoRR abs/2401.05453 (2024) - [i5]Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey:
LDReg: Local Dimensionality Regularized Self-Supervised Learning. CoRR abs/2401.10474 (2024) - [i4]Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston Jr, Mark Goldsworthy, Lachlan O'Neil:
On the Use of Relative Validity Indices for Comparing Clustering Approaches. CoRR abs/2404.10351 (2024) - [i3]Philipp Röchner, Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Franz Rothlauf:
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version). CoRR abs/2408.15874 (2024) - 2023
- [j57]Henrique O. Marques, Lorne Swersky, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek:
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles. Data Min. Knowl. Discov. 37(4): 1473-1517 (2023) - 2022
- [j56]Pablo A. Jaskowiak, Ivan G. Costa, Ricardo J. G. B. Campello:
The area under the ROC curve as a measure of clustering quality. Data Min. Knowl. Discov. 36(3): 1219-1245 (2022) - [c52]Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander:
CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. ICDE 2022: 951-964 - [c51]Henrique O. Marques, Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander:
Similarity-Based Unsupervised Evaluation of Outlier Detection. SISAP 2022: 234-248 - 2021
- [j55]Victor Hugo Andrade Soares, Moacir A. Ponti, R. A. Gonçalves, Ricardo J. G. B. Campello:
Cattle counting in the wild with geolocated aerial images in large pasture areas. Comput. Electron. Agric. 189: 106354 (2021) - [j54]Joelson Antônio dos Santos, Syed Talat Iqbal, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Joerg Sander:
Hierarchical Density-Based Clustering Using MapReduce. IEEE Trans. Big Data 7(1): 102-114 (2021) - [j53]Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento:
Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies. IEEE Trans. Knowl. Data Eng. 33(8): 3075-3089 (2021) - [c50]Jonatan Møller Nuutinen Gøttcke, Arthur Zimek, Ricardo J. G. B. Campello:
Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation. SISAP 2021: 118-132 - 2020
- [j52]Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello:
Correction to: A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. 34(6): 1984-1985 (2020) - [j51]Fernando Soares de Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Pre-processing approaches for collaborative filtering based on hierarchical clustering. Inf. Sci. 534: 172-191 (2020) - [j50]Henrique O. Marques, Ricardo J. G. B. Campello, Jörg Sander, Arthur Zimek:
Internal Evaluation of Unsupervised Outlier Detection. ACM Trans. Knowl. Discov. Data 14(4): 47:1-47:42 (2020) - [j49]Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek:
Density-based clustering. WIREs Data Mining Knowl. Discov. 10(2) (2020) - [c49]Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane:
Model-Based Clustering with HDBSCAN. ECML/PKDD (2) 2020: 364-379 - [i2]Pablo Andretta Jaskowiak, Ivan Gesteira Costa, Ricardo José Gabrielli Barreto Campello:
The Area Under the ROC Curve as a Measure of Clustering Quality. CoRR abs/2009.02400 (2020)
2010 – 2019
- 2019
- [j48]Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello:
A unified view of density-based methods for semi-supervised clustering and classification. Data Min. Knowl. Discov. 33(6): 1894-1952 (2019) - [j47]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Syst. Appl. 115: 427-441 (2019) - [j46]Victor Hugo Andrade Soares, Ricardo J. G. B. Campello, Seyednaser Nourashrafeddin, Evangelos E. Milios, Murilo Coelho Naldi:
Combining semantic and term frequency similarities for text clustering. Knowl. Inf. Syst. 61(3): 1485-1516 (2019) - [c48]Ricardo J. G. B. Campello:
Evaluation of Unsupervised Learning Results: Making the Seemingly Impossible Possible. EDML@SDM 2019: 4 - 2018
- [j45]Antônio C. Araújo Neto, Mario A. Nascimento, Jörg Sander, Ricardo J. G. B. Campello:
MustaCHE: A Multiple Clustering Hierarchies Explorer. Proc. VLDB Endow. 11(12): 2058-2061 (2018) - [c47]Francisco de Assis Rodrigues dos Anjos, Jadson Castro Gertrudes, Jörg Sander, Ricardo J. G. B. Campello:
A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies. AusDM 2018: 253-265 - [c46]Arthur F. Da Costa, Eduardo P. Fressato, Fernando Soares de Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Case recommender: a flexible and extensible python framework for recommender systems. RecSys 2018: 494-495 - [c45]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
CoRec: a co-training approach for recommender systems. SAC 2018: 696-703 - [c44]Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello:
A unified framework of density-based clustering for semi-supervised classification. SSDBM 2018: 11:1-11:12 - [r2]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Relative Validity Criteria for Community Mining Algorithms. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j44]Victor Alexandre Padilha, Ricardo J. G. B. Campello:
A systematic comparative evaluation of biclustering techniques. BMC Bioinform. 18(1): 55:1-55:25 (2017) - [j43]Gilberto V. Oliveira, Felipe P. Coutinho, Ricardo J. G. B. Campello, Murilo Coelho Naldi:
Improving k-means through distributed scalable metaheuristics. Neurocomputing 246: 45-57 (2017) - [j42]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users' Feedback. J. Inf. Data Manag. 8(3): 180-196 (2017) - [c43]Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento:
Efficient Computation of Multiple Density-Based Clustering Hierarchies. ICDM 2017: 991-996 - [i1]Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento:
Efficient Computation of Multiple Density-Based Clustering Hierarchies. CoRR abs/1709.04545 (2017) - 2016
- [j41]Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle:
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. 30(4): 891-927 (2016) - [j40]Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander:
On strategies for building effective ensembles of relative clustering validity criteria. Knowl. Inf. Syst. 47(2): 329-354 (2016) - [c42]Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek:
On the Evaluation of Outlier Detection and One-Class Classification Methods. DSAA 2016: 1-10 - [c41]Antonio J. L. Batista, Ricardo J. G. B. Campello, Jörg Sander:
Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies. DSAA 2016: 11-20 - [c40]Arthur F. Da Costa, Rafael D. Martins, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Exploiting different users' interactions for profiles enrichment in recommender systems. SAC 2016: 1080-1082 - [c39]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. WebMedia 2016: 279-286 - 2015
- [j39]Murilo Coelho Naldi, Ricardo J. G. B. Campello:
Comparison of distributed evolutionary k-means clustering algorithms. Neurocomputing 163: 78-93 (2015) - [j38]Danilo Horta, Ricardo J. G. B. Campello:
Comparing hard and overlapping clusterings. J. Mach. Learn. Res. 16: 2949-2997 (2015) - [j37]Jeremias B. Machado, Ricardo J. G. B. Campello, Wagner C. Amaral:
Asymmetric Volterra Models Based on Ladder-Structured Generalized Orthonormal Basis Functions. IEEE Trans. Autom. Control. 60(11): 2879-2891 (2015) - [j36]Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander:
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Trans. Knowl. Discov. Data 10(1): 5:1-5:51 (2015) - [c38]Pablo A. Jaskowiak, Ricardo J. G. B. Campello:
A Cluster Based Hybrid Feature Selection Approach. BRACIS 2015: 43-48 - [c37]Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander:
On the internal evaluation of unsupervised outlier detection. SSDBM 2015: 7:1-7:12 - 2014
- [j35]Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa:
On the selection of appropriate distances for gene expression data clustering. BMC Bioinform. 15(S-2): S2 (2014) - [j34]Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello:
Evolutionary k-means for distributed data sets. Neurocomputing 127: 30-42 (2014) - [j33]Danilo Horta, Ricardo J. G. B. Campello:
Similarity Measures for Comparing Biclusterings. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 942-954 (2014) - [c36]Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek:
Active Learning Strategies for Semi-Supervised DBSCAN. Canadian AI 2014: 179-190 - [c35]Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel:
Model Selection for Semi-Supervised Clustering. EDBT 2014: 331-342 - [c34]Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander:
Density-Based Clustering Validation. SDM 2014: 839-847 - [c33]Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander:
Data perturbation for outlier detection ensembles. SSDBM 2014: 13:1-13:12 - [r1]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Relative Validity Criteria for Community Mining Algorithms. Encyclopedia of Social Network Analysis and Mining 2014: 1562-1576 - 2013
- [j32]Murilo Coelho Naldi, André C. P. L. F. de Carvalho, Ricardo J. G. B. Campello:
Cluster ensemble selection based on relative validity indexes. Data Min. Knowl. Discov. 27(2): 259-289 (2013) - [j31]Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander:
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Min. Knowl. Discov. 27(3): 344-371 (2013) - [j30]Arthur Zimek, Ricardo J. G. B. Campello, Jörg Sander:
Ensembles for unsupervised outlier detection: challenges and research questions a position paper. SIGKDD Explor. 15(1): 11-22 (2013) - [j29]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Communities validity: methodical evaluation of community mining algorithms. Soc. Netw. Anal. Min. 3(4): 1039-1062 (2013) - [j28]Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa:
Proximity Measures for Clustering Gene Expression Microarray Data: A Validation Methodology and a Comparative Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 845-857 (2013) - [j27]Jeremias B. Machado, Ricardo J. G. B. Campello, Wagner Caradori do Amaral:
Takagi-Sugeno Fuzzy Models in the Framework of Orthonormal Basis Functions. IEEE Trans. Cybern. 43(3): 858-870 (2013) - [c32]Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello:
Distributed K-Means Clustering with Low Transmission Cost. BRACIS 2013: 70-75 - [c31]Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander:
Subsampling for efficient and effective unsupervised outlier detection ensembles. KDD 2013: 428-436 - [c30]Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander:
Density-Based Clustering Based on Hierarchical Density Estimates. PAKDD (2) 2013: 160-172 - [c29]Lucas Vendramin, Pablo A. Jaskowiak, Ricardo J. G. B. Campello:
On the combination of relative clustering validity criteria. SSDBM 2013: 4:1-4:12 - 2012
- [j26]Gustavo Henrique Costa Oliveira, Alex da Rosa, Ricardo J. G. B. Campello, Jeremias B. Machado, Wagner C. Amaral:
An introduction to models based on Laguerre, Kautz and other related orthonormal functions - Part II: non-linear models. Int. J. Model. Identif. Control. 16(1): 1-14 (2012) - [j25]Danilo Horta, Ricardo J. G. B. Campello:
Automatic aspect discrimination in data clustering. Pattern Recognit. 45(12): 4370-4388 (2012) - [j24]Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander:
A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1850-1852 (2012) - [j23]Luiz F. S. Coletta, Lucas Vendramin, Eduardo R. Hruschka, Ricardo J. G. B. Campello, Witold Pedrycz:
Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines. IEEE Trans. Fuzzy Syst. 20(3): 444-462 (2012) - [c28]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Relative Validity Criteria for Community Mining Algorithms. ASONAM 2012: 258-265 - [c27]Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello:
Combining Information from Distributed Evolutionary k-Means. SBRN 2012: 43-48 - [c26]Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Ivan G. Costa:
Evaluating Correlation Coefficients for Clustering Gene Expression Profiles of Cancer. BSB 2012: 120-131 - 2011
- [j22]Murilo Coelho Naldi, Ricardo J. G. B. Campello, Eduardo R. Hruschka, André C. P. L. F. de Carvalho:
Efficiency issues of evolutionary k-means. Appl. Soft Comput. 11(2): 1938-1952 (2011) - [j21]Gustavo Henrique Costa Oliveira, Alex da Rosa, Ricardo J. G. B. Campello, Jeremias B. Machado, Wagner C. Amaral:
An introduction to models based on Laguerre, Kautz and other related orthonormal functions - part I: linear and uncertain models. Int. J. Model. Identif. Control. 14(1/2): 121-132 (2011) - [j20]Danilo Horta, Ivan C. de Andrade, Ricardo J. G. B. Campello:
Evolutionary fuzzy clustering of relational data. Theor. Comput. Sci. 412(42): 5854-5870 (2011) - [c25]Lucas Vendramin, Ricardo José Gabrielli Barreto Campello, Luiz F. S. Coletta, Eduardo R. Hruschka:
Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters. DCAI 2011: 133-140 - [c24]Danilo Horta, Ricardo J. G. B. Campello:
Automatic aspect discrimination in relational data clustering. ISDA 2011: 522-529 - 2010
- [j19]Danilo Horta, Ricardo J. G. B. Campello:
Evolutionary clustering of relational data. Int. J. Hybrid Intell. Syst. 7(4): 261-281 (2010) - [j18]Ricardo J. G. B. Campello:
Generalized external indexes for comparing data partitions with overlapping categories. Pattern Recognit. Lett. 31(9): 966-975 (2010) - [j17]Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
Relative clustering validity criteria: A comparative overview. Stat. Anal. Data Min. 3(4): 209-235 (2010) - [c23]Alex da Rosa, Ricardo J. G. B. Campello, Paulo A. V. Ferreira, Gustavo Henrique Costa Oliveira, Wagner C. Amaral:
Robust expansion of uncertain Volterra kernels into orthonormal series. ACC 2010: 5465-5470 - [c22]Luiz F. S. Coletta, Eduardo R. Hruschka, Thiago F. Covoes, Ricardo J. G. B. Campello:
Fuzzy Clustering-Based Filter. IPMU (1) 2010: 406-415 - [c21]Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Thiago F. Covoes, Eduardo R. Hruschka:
A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination. SBRN 2010: 13-18
2000 – 2009
- 2009
- [j16]Ricardo J. G. B. Campello, Eduardo R. Hruschka, Vinicius S. Alves:
On the efficiency of evolutionary fuzzy clustering. J. Heuristics 15(1): 43-75 (2009) - [j15]Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka:
On comparing two sequences of numbers and its applications to clustering analysis. Inf. Sci. 179(8): 1025-1039 (2009) - [j14]Alex da Rosa, Ricardo J. G. B. Campello, Wagner C. Amaral:
Exact Search Directions for Optimization of Linear and Nonlinear Models Based on Generalized Orthonormal Functions. IEEE Trans. Autom. Control. 54(12): 2757-2772 (2009) - [j13]Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
A Survey of Evolutionary Algorithms for Clustering. IEEE Trans. Syst. Man Cybern. Part C 39(2): 133-155 (2009) - [c20]Murilo Coelho Naldi, Andre Fontana, Ricardo J. G. B. Campello:
Comparison Among Methods for k Estimation in k-means. ISDA 2009: 1006-1013 - [c19]Danilo Horta, Ricardo J. G. B. Campello:
Fast Evolutionary Algorithms for Relational Clustering. ISDA 2009: 1456-1462 - [c18]Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
On the Comparison of Relative Clustering Validity Criteria. SDM 2009: 733-744 - [p2]Danilo Horta, Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues. Foundations of Computational Intelligence (4) 2009: 167-195 - 2008
- [j12]Alex da Rosa, Ricardo J. G. B. Campello, Wagner C. Amaral:
An optimal expansion of Volterra models using independent Kautz bases for each kernel dimension. Int. J. Control 81(6): 962-975 (2008) - [c17]Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
A Robust Methodology for Comparing Performances of Clustering Validity Criteria. SBIA 2008: 237-247 - [p1]Murilo Coelho Naldi, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka:
Genetic Clustering for Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 113-132 - 2007
- [j11]Alex da Rosa, Ricardo J. G. B. Campello, Wagner C. Amaral:
Choice of free parameters in expansions of discrete-time Volterra models using Kautz functions. Autom. 43(6): 1084-1091 (2007) - [j10]Ricardo J. G. B. Campello:
A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment. Pattern Recognit. Lett. 28(7): 833-841 (2007) - [c16]Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
A Fuzzy Variant of an Evolutionary Algorithm for Clustering. FUZZ-IEEE 2007: 1-6 - [c15]Jeremias B. Machado, Wagner C. Amaral, Ricardo J. G. B. Campello:
Design of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria. ICTAI (2) 2007: 336-339 - 2006
- [j9]Luiz Augusto da Cruz Meleiro, Ricardo José Gabrielli Barreto Campello, Rubens Maciel Filho, Wagner Caradori do Amaral:
Application of Hierarchical Neural Fuzzy Models to Modeling and Control of a Bioprocess. Appl. Artif. Intell. 20(9): 797-816 (2006) - [j8]Ricardo J. G. B. Campello, Wagner Caradori do Amaral, Gérard Favier:
A note on the optimal expansion of Volterra models using Laguerre functions. Autom. 42(4): 689-693 (2006) - [j7]Ricardo J. G. B. Campello, Eduardo R. Hruschka:
A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets Syst. 157(21): 2858-2875 (2006) - [j6]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Evolving clusters in gene-expression data. Inf. Sci. 176(13): 1898-1927 (2006) - [j5]Ricardo J. G. B. Campello, Wagner Caradori do Amaral:
Hierarchical fuzzy relational models: linguistic interpretation and universal approximation. IEEE Trans. Fuzzy Syst. 14(3): 446-453 (2006) - [c14]Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
Towards a Fast Evolutionary Algorithm for Clustering. IEEE Congress on Evolutionary Computation 2006: 1776-1783 - [c13]Anderson V. Medeiros, Wagner C. Amaral, Ricardo J. G. B. Campello:
GA Optimization of Generalized OBF TS Fuzzy Models with Global and Local Estimation Approaches. FUZZ-IEEE 2006: 1835-1842 - [c12]Fábio A. P. Reis, Igor C. Félix, Silvio Luiz Stanzani, Ricardo J. G. B. Campello, Leandro Nunes de Castro, Hermes Senger, Marta C. Rosatelli:
A Learning Object on Computational Intelligence. ICALT 2006: 33 - [c11]Anderson V. Medeiros, Wagner C. Amaral, Ricardo J. G. B. Campello:
GA Optimization of OBF TS Fuzzy Models with Linear and Non Linear Local Models. SBRN 2006: 66-71 - 2004
- [j4]Ricardo J. G. B. Campello, Gérard Favier, Wagner Caradori do Amaral:
Optimal expansions of discrete-time Volterra models using Laguerre functions. Autom. 40(5): 815-822 (2004) - [c10]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Evolutionary search for optimal fuzzy c-means clustering. FUZZ-IEEE 2004: 685-690 - [c9]Ricardo J. G. B. Campello, Luiz Augusto da Cruz Meleiro, Wagner C. Amaral:
Control of a bioprocess using orthonormal basis function fuzzy models. FUZZ-IEEE 2004: 801-806 - [c8]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Improving the Efficiency of a Clustering Genetic Algorithm. IBERAMIA 2004: 861-870 - [c7]Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello:
Evolutionary Algorithms for Clustering Gene-Expression Data. ICDM 2004: 403-406 - [c6]Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo J. G. B. Campello:
An evolutionary clustering technique with local search to design RBF neural network classifiers. IJCNN 2004: 2083-2088 - 2003
- [j3]Ricardo J. G. B. Campello, Wagner C. Amaral:
Towards true linguistic modelling through optimal numerical solutions. Int. J. Syst. Sci. 34(2): 139-157 (2003) - 2002
- [b1]Ricardo José Gabrielli Barreto Campello:
Arquiteturas e metodologias para modelagem e controle de sistemas complexos utilizando ferramentas classicas e modernas. University of Campinas, Brazil, 2002 - [c5]Ricardo J. G. B. Campello, Wagner C. Amaral:
Hierarchical fuzzy relational models: linguistic interpretation and universal approximation. FUZZ-IEEE 2002: 162-167 - [c4]Ricardo J. G. B. Campello, Wagner C. Amaral:
Takagi-Sugeno fuzzy models within orthonormal basis function framework and their application to process control. FUZZ-IEEE 2002: 1399-1404 - [c3]Luiz Augusto da Cruz Meleiro, Ricardo J. G. B. Campello, Rubens Maciel Filho, Fernando J. Von Zuben:
Identification of a Multivariate Fermentation Process using Constructive Learning. SBRN 2002: 19-24 - 2001
- [j2]Ricardo J. G. B. Campello, Wagner C. Amaral:
Modeling and linguistic knowledge extraction from systems using fuzzy relational models. Fuzzy Sets Syst. 121(1): 113-126 (2001) - [c2]Ricardo J. G. B. Campello, Wagner C. Amaral, Gérard Favier:
Optimal Laguerre series expansion of discrete volterra models. ECC 2001: 372-377 - 2000
- [c1]Ricardo J. G. B. Campello, Wagner C. Amaral:
Optimization of Hierarchical Neural Fuzzy Models. IJCNN (5) 2000: 8-13
1990 – 1999
- 1998
- [j1]Ricardo J. G. B. Campello, Rubén Mario Nazzetta, Wagner Caradori do Amaral:
A Highly Adaptive Algorithm for Fuzzy Modelling of Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6(1): 35-50 (1998)
Coauthor Index
Wagner C. Amaral
aka: Wagner Caradori do Amaral
aka: Wagner Caradori do Amaral
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Pablo A. Jaskowiak
aka: Pablo Andretta Jaskowiak
aka: Pablo Andretta Jaskowiak
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