Publications by: Ricardo Campello

Also publishes as (Ricardo R.J.G.B. Campello, Ricardo J. G. B. Campello, R.J.G.B. Campello, R.J.D.B. Campello)

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Number of items: 44.

Padilha, Victor A., and Campello, Ricardo (2017) A systematic comparative evaluation of biclustering techniques. BMC Bioinformatics, 18:55. pp. 1-25.

da Costa, Arthur F., Martins, Rafael D., Manzato, Marcelo G., and Campello, Ricardo J.G.B. (2016) Exploiting different users' interactions for profiles enrichment in recommender systems. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp. 1080-1082. From: SAC 2016: 31ST Annual ACM Symposium on Applied Computing, 4-8 April 2016, Pisa, Italy.

da Costa, Arthur F., Manzato, Marcelo G., and Campello, Ricardo (2016) Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking. In: Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, pp. 279-286. From: WebMedia 2016: 22nd Brazilian Symposium on Multimedia and the Web, 8-11 November 2016, Teresina, Brazil.

Jaskowiak, Pablo A., Moulavi, Davoud, Furtado, Antonio C. S., Campello, Ricardo J. G. B., Zimek, Arthur, and Sander, Jörg (2016) On strategies for building effective ensembles of relative clustering validity criteria. Knowledge and Information Systems, 47 (2). pp. 329-354.

Campos, Guilherme O., Zimek, Arthur, Sander, Jörg, Campello, Ricardo, Micenková, Barbora, Schubert, Erich, Assent, Ira, and Houle, Michael E. (2016) On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, 30 (4). pp. 891-927.

Machado, Jeremias B., Campello, Ricardo J.G.B., and Amaral, Wagner C. (2015) Asymmetric volterra models based on ladder-structured generalized orthonormal basis functions. IEEE Transactions on Automatic Control, 60 (11). pp. 2879-2891.

Campello, Ricardo J.G.B., Moulavi, Davoud, Zimek, Arthur, and Sander, Jörg (2015) Hierarchical density estimates for data clustering, visualization, and outlier detection. ACM Transactions on Knowledge Discovery from Data, 10 (1). 5:1-5:51.

Horta, Danilo, and Campello, Ricardo (2015) Comparing hard and overlapping clusterings. Journal of Machine Learning Research, 16. pp. 2949-2997.

Naldi, M.C., and Campello, Ricardo R.J.G.B. (2015) Comparison of distributed evolutionary k-means clustering algorithms. Neurocomputing, 163. pp. 78-93.

Marques, Henrique O., Campello, Ricardo J.G.B., Zimek, Arthur, and Sander, Jörg (2015) On the internal evaluation of unsupervised outlier detection. In: Proceedings of the 27th International Conference on Scientific and Statistical Database Management. From: SSBDM 2015: 26th International Conference on Scientific and Statistical Database Management, 29 June - 1 July 2015, La Jolla, CA, USA.

Jaskowiak, Pablo A., Campello, Ricardo J.G.B., and Costa, Ivan G. (2014) On the selection of appropriate distances for gene expression data clustering. BMC Bioinformatics, 15 (Suppl 2). pp. 1-17.

Li, Jundong, Sander, Jörg, Campello, Ricardo, and Zimek, Arthur (2014) Active learning strategies for semi-supervised DBSCAN. In: Lecture Notes in Computer Science (8436), pp. 179-190. From: Canadian AI 2014: 27th Canadian Conference on Artificial Intelligence, 6-9 May 2014, Montréal, Canada.

Moulavi, Davoud, Jaskowiak, Pablo A., Campello, Ricardo J.G.B., Zimek, Arthur, and Sander, Jörg (2014) Density-based clustering validation. In: Proceedings of the SIAM International Conference on Data Mining, pp. 839-847. From: SM2014: SIAM International Conference on Data Mining, 24-26 April 2014, Philadelphia, PA, USA.

Naldi, M.C., and Campello, Ricardo (2014) Evolutionary k-means for distributed data sets. Neurocomputing, 127. pp. 30-42.

Pourrajabi, Mojgan, Moulavi, Davoud, Campello, Ricardo J.G.B., Zimek, Arthur, Sander, Jörg, and Goebel, Randy (2014) Model selection for semi-supervised clustering. In: Proceedings of the 17th International Conference on Extending Database Technology, pp. 331-342. From: EDBT 2014: International Conference on Extending Database Technology, 24-28 March 2014, Athens, Greece.

Horta, Danilo, and Campello, Ricardo (2014) Similarity measures for comparing biclusterings. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 11 (5). pp. 942-954.

Rabbany, Reihaneh, Takaffoli, Mansoureh, Fagnan, Justin, Zaïane, Osmar R., and Campello, Ricardo J.G.B. (2013) Communities validity: methodical evaluation of community mining algorithms. Social Network Analysis and Mining, 3 (4). pp. 1039-1062.

Campello, R.J.G.B., Moulavi, D., Zimek, A., and Sander, J. (2013) A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Mining and Knowledge Discovery, 27 (3). pp. 344-371.

Zimek, Arthur, Campello, Ricardo J.G.B., and Sander, Jörg (2013) Ensembles for unsupervised outlier detection: challenges and research questions. SIGKDD Explorations Newsletter, 15 (1). pp. 11-22.

Machado, Jeremias B., Campello, Ricardo, and Amaral, Wagner C. (2013) Takagi–Sugeno fuzzy models in the framework of orthonormal basis functions. IEEE Transactions on Cybernetics, 43 (3). pp. 858-870.

Naldi, M.C., Carvalho, A.C.P.L.F., and Campello, Ricardo R.J.G.B. (2013) Cluster ensemble selection based on relative validity indexes. Data Mining and Knowledge Discovery, 27 (2). pp. 259-289.

Jaskowiak, Pablo. A., Campello, Ricardo J.G.B., and Costa, Ivan G. (2013) Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 10 (4). pp. 845-857.

Coletta, Luiz F.S., Vendramin, Lucas, Hruschka, Eduardo Raul, Campello, Ricardo J.G.B., and Pedrycz, Witold (2012) Collaborative fuzzy clustering algorithms: some refinements and design guidelines. IEEE Transactions on Fuzzy Systems, 20 (3). pp. 444-462.

Horta, Danilo, and Campello, Ricardo J.G.B. (2012) Automatic aspect discrimination in data clustering. Pattern Recognition, 45 (12). pp. 4370-4388.

Horta, Danilo, de Andrade, Ivan C., and Campello, Ricardo J.G.B (2011) Evolutionary fuzzy clustering of relational data. Theoretical Computer Science, 412 (42). pp. 5854-5870.

Naldi, M.C., Campello, R.J.G.B., Hruschka, E.R., and Carvalho, A.C.P.L.F. (2011) Efficiency issues of evolutionary k-means. Applied Soft Computing, 11 (2). pp. 1938-1952.

Campello, R.J.G.B. (2010) Generalized external indexes for comparing data partitions with overlapping categories. Pattern Recognition Letters, 31 (9). pp. 966-975.

Vendramin, Lucas, Campello, Ricardo J.G.B., and Hruschka, Eduardo R. (2010) Relative clustering validity criteria: a comparative overview. Statistical Analysis and Data Mining, 3. pp. 209-235.

da Rosa, Alex, Campello, Ricardo J.G.B., Ferreira, Paulo A.V., Oliveira, Gustavo H.C., and Amaral, Wagner C. (2010) Robust expansion of uncertain volterra kernels into orthonormal series. In: Proceedings of the 2010 American Control Conference, pp. 5465-5470. From: AAC 2010: American Control Conference, 30 June - 2 July 2010, Baltimore, MD, USA.

da Rosa, Alex, Campello, Ricardo J.G.B., and Amaral, Wagner C. (2009) Exact search directions for optimization of linear and nonlinear models based on generalized orthonormal functions. IEEE Transactions on Automatic Control, 54 (12). pp. 2757-2772.

Campello, R.J.G.B., and Hruschka, E. (2009) On comparing two sequences of numbers and its applications to clustering analysis. Information Sciences, 179 (8). pp. 1025-1039.

Campello, Ricardo J.G.B., Hruschka, Eduardo R., and Alves, Vinícius S. (2009) On the efficiency of evolutionary fuzzy clustering. Journal of Heuristics, 15 (1). pp. 43-75.

Hruschka, Eduardo Raul, Campello, Ricardo J.G.B., Freitas, Alex A., and de Carvakho, André C. Ponce Leon (2009) A survey of evolutionary algorithms for clustering. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 39 (2). pp. 133-155.

Da Rosa, Alex, Campello, Ricardo J.G.B., and Amaral, Wagner C. (2008) An optimal expansion of Volterra models using independent Kautz bases for each kernel dimension. International Journal of Control, 81 (6). pp. 962-975.

Campello, R.J.G.B. (2007) A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment. Pattern Recognition Letters, 28 (7). pp. 833-841.

Campello, R.J.G.B., and Hruschka, E.R. (2006) A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets and Systems, 157 (21). pp. 2858-2875.

Hruschka, Eduardo R., Campello, Ricardo J.G.B., and de Castro, Leandro N. (2006) Evolving clusters in gene-expression data. Information Sciences, 176 (13). pp. 1898-1927.

Meleiro, L.A.C., Campello, R.J.G.B., Filho, R. Maciel, and Amaral, W.C. (2006) Application of hierarchical neural fuzzy models to modeling and control of a bioprocess. Applied Artificial Intelligence, 20 (9). pp. 797-816.

Campello, Ricardo, and Amaral, Wagner Caradori do (2006) Hierarchical fuzzy relational models: linguistic interpretation and universal approximation. IEEE Transactions on Fuzzy Systems, 14 (3). pp. 446-453.

Campello, Ricardo J.G.B., do Amaral, Wagner C., and Favier, Gérard (2006) A note on the optimal expansion of Volterra models using Laguerre functions. Automatica, 42 (4). pp. 689-693.

Campello, R.J.G.B., Von Zuben, F.J., Amaral, W.C., Meleiro, L.A.C., and Maciel Filho, R. (2003) Hierarchical fuzzy models within the framework of orthonormal basis functions and their application to bioprocess control. Chemical Engineering Science, 58 (18). pp. 4259-4270.

Campello, R.J.G.B., and Amaral, W.C. (2003) Towards true linguistic modelling through optimal numerical solutions. International Journal of Systems Science, 34 (2). pp. 139-157.

Campello, R.J.G.B., and Amaral, W.C. (2001) Modeling and linguistic knowledge extraction from systems using fuzzy relational models. Fuzzy Sets and Systems, 121 (1). pp. 113-126.

Meleiro, L.A.C., Filho, R. Maciel, Campello, R.J.D.B., and Amaral, W.C. (2001) Hierarchical neural fuzzy models as a tool for process identification: a bioprocess application. In: Majutaba, I.M., and Hussain, M.A., (eds.) Application of Neural Networks and Other Learning Technologies in Process Engineering. Imperial College Press, London, UK, pp. 173-196.

This list was generated on Sun Mar 26 19:17:31 2017 AEST.