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  • 2024

    Dimensionality-Aware Outlier Detection

    Anderberg, A., Bailey, J., Campello, R. J. G. B., Houle, M. E., Marques, H. O., Radovanović, M. & Zimek, A., 2024, Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024. Shekhar, S., Papalexakis, V., Gao, J., Jiang, Z. & Riondato, M. (red.). Society for Industrial and Applied Mathematics, s. 652-660 9 s.

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  • 2022

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

    Neto, A. C. A., Naldi, M. C., Campello, R. J. G. B. & Sander, J., 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE, s. 951-964 (Proceedings of the International Conference on Data Engineering, Bind 2022-May).

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  • Similarity-Based Unsupervised Evaluation of Outlier Detection

    Marques, H. O., Zimek, A., Campello, R. J. G. B. & Sander, J., 2022, Similarity Search and Applications - 15th International Conference, SISAP 2022, Proceedings. Skopal, T., Lokoč, J., Falchi, F., Sapino, M. L., Bartolini, I. & Patella, M. (red.). Springer Science+Business Media, s. 234-248 (Lecture Notes in Computer Science, Bind 13590 LNCS).

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  • 2021

    Model-Based Clustering with HDBSCAN*

    Strobl, M., Sander, J., Campello, R. J. G. B. & Zaïane, O., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (red.). Springer, s. 364-379 (Lecture Notes in Computer Science, Bind 12458).

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

    Gøttcke, J. M. N., Zimek, A. & Campello, R. J. G. B., 2021, Similarity Search and Applications: 14th International Conference. Reyes, N., Connor, R., Kriege, N., Kazempour, D., Bartolini, I., Schubert, E. & Chen, J.-J. (red.). Springer Science+Business Media, s. 118-132 (Lecture Notes in Computer Science, Bind 13058 LNCS).

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  • 2019

    A modularity-based measure for cluster selection from clustering hierarchies

    dos Anjos, F. D. A. R., Gertrudes, J. C., Sander, J. & Campello, R. J. G. B., 2019, Data Mining - 16th Australasian Conference, AusDM 2018, Revised Selected Papers. Zhao, Y., Stirling, D., Koh, Y. S., Islam, Z., Warwick, G., Li, C.-T. & Islam, R. (red.). Springer, s. 253-265 (Communications in Computer and Information Science, Bind 996).

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  • 2018

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

    Gertrudes, J. C., Zimek, A., Sander, J. & Campello, R. J. G. B., 9. jul. 2018, Proceedings of the 30th International Conference on Scientific and Statistical Database Management: SSDBM '18. Bohlen, M., Gamper, J., Kroger, P. & Sacharidis, D. (red.). Association for Computing Machinery, 12 s. 11

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  • Case recommender: A flexible and extensible python framework for recommender systems

    Da Costa, A., Fressato, E., Neto, F., Manzato, M. & Campello, R., 27. sep. 2018, RecSys 2018 - 12th ACM Conference on Recommender Systems. Association for Computing Machinery, s. 494-495

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  • CoRec: A co-training approach for recommender systems

    Da Costa, A. F., Manzato, M. G. & Campello, R. J. G. B., 9. apr. 2018, Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018. Association for Computing Machinery, s. 696-703

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  • 2017

    Efficient computation of multiple density-based clustering hierarchies

    Neto, A. C. A., Sander, J., Campello, R. J. G. B. & Nascimento, M. A., 15. dec. 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Karypis, G., Alu, S., Raghavan, V., Wu, X. & Miele, L. (red.). IEEE, s. 991-996 (Proceedings of the IEEE International Conference on Data Mining, ICDM, Bind 2017-November).

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  • 2016

    A cluster based hybrid feature selection approach

    Jaskowiak, P. A. & Campello, R. J. G. B., 2. mar. 2016, Proceedings - 2015 Brazilian Conference on Intelligent Systems, BRACIS 2015. IEEE, s. 43-48 7423993

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  • Active semi-supervised classification based on multiple clustering hierarchies

    Batista, A. J. L., Campello, R. J. G. B. & Sander, J., 22. dec. 2016, Proceedings - 3rd IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016. IEEE, s. 11-20 7796886

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

    Da Costa, A. F., Martins, R. D., Manzato, M. G. & Campello, R. J. G. B., 4. apr. 2016, 2016 Symposium on Applied Computing, SAC 2016. Association for Computing Machinery, s. 1080-1082

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  • Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking

    Da Costa, A. F., Manzato, M. G. & Campello, R. J. G. B., 8. nov. 2016, WebMedia 2016 - Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web. Association for Computing Machinery, s. 279-286

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

    Swersky, L., Marques, H. O., Sander, J., Campello, R. J. G. B. & Zimek, A., 2016, 3rd IEEE International Conference on Data Science and Advanced Analytics : DSAA 2016 . Bilof, R. (red.). IEEE Press, Bind 2016. s. 1-10

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  • 2014

    Active learning strategies for semi-supervised DBSCAN

    Li, J., Sander, J., Campello, R. & Zimek, A., 2014, Advances in Artificial Intelligence: Proceedings of the 27th Canadian Conference on Artificial Intelligence. Sokolova, M. & van Beek, P. (red.). Springer, s. 179-190 (Lecture Notes in Computer Science, Bind 8436).

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  • Data perturbation for outlier detection ensembles

    Zimek, A., Campello, R. J. G. B. & Sander, J., 2014, Proceedings of the 26th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 12 s. 13

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  • Density-based clustering validation

    Moulavi, D., Jaskowiak, P. A., Campello, R. J. G. B., Zimek, A. & Sander, J., 2014, Proceedings of the 2014 SIAM International Conference on Data Mining. Zaki, M., Obradovic, Z., Ning-Tan, P., Banerjee, A., Kamath, C. & Parthasarathy, S. (red.). Society for Industrial and Applied Mathematics, s. 839-847

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  • Model selection for semi-supervised clustering

    Pourrajabi, M., Zimek, A., Moulavi, D., Sander, J., Campello, R. J. G. B. & Goebel, R., 2014, Advances in Database Technology - EDBT 2014: Proc. 17th International Conference on Extending Database Technology. Leroy, V., Christophides, V., Christophides, V., Idreos, S., Kementsietsidis, A., Garofalakis, M. & Amer-Yahia, S. (red.). OpenProceedings, s. 331-342

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  • 2013

    Density-based clustering based on hierarchical density estimates

    Campello, R. J. G. B., Moulavi, D. & Sander, J., 2013, Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Proceedings. Pei, J., Tseng, V., Cao, L., Motoda, H. & Xu, G. (red.). Springer, Bind PART 2. s. 160-172 (Lecture Notes in Computer Science; Nr. PART 2, Bind 7819 LNAI).

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  • Distributed K-means clustering with low transmission cost

    Naldi, M. C. & Campello, R. J. G. B., 2013, Proceedings - 2013 Brazilian Conference on Intelligent Systems, BRACIS 2013. IEEE, s. 70-75 6726428

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  • On the combination of relative clustering validity criteria

    Vendramin, L., Jaskowiak, P. A. & Campello, R. J. G. B., 2013, SSDBM 2013 - Proceedings of the 25th International Conference on Scientific and Statistical Database Management. Association for Computing Machinery, 4

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  • Subsampling for efficient and effective unsupervised outlier detection ensembles

    Zimek, A., Gaudet, M., Campello, R. J. G. B. & Sander, J., 11. aug. 2013, Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Ghani, R., Senator, T. E., Bradley, P., Parekh, R. & He, J. (red.). Association for Computing Machinery, s. 428-436

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  • 2012

    Combining information from distributed evolutionary k-means

    Coelho Naldi, M. & Campello, R. J. G. B., 2012, Proceedings - 2012 Brazilian Conference on Neural Networks, SBRN 2012. IEEE, s. 43-48 6374822. (Proceedings - Brazilian Symposium on Neural Networks, SBRN).

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  • Evaluating correlation coefficients for clustering gene expression profiles of cancer

    Jaskowiak, P. A., Campello, R. J. G. B. & Costa, I. G., 2012, Advances in Bioinformatics and Computational Biology - 7th Brazilian Symposium on Bioinformatics, BSB 2012, Proceedings. Springer, s. 120-131 (Lecture Notes in Computer Science, Bind 7409 LNBI).

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  • Relative validity criteria for community mining algorithms

    Rabbany, R., Takaffoli, M., Fagnan, J., Zäiane, O. R. & Campello, R. J. G. B., 2012, Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. IEEE, s. 258-265 6425753

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  • 2011

    Automatic aspect discrimination in relational data clustering

    Horta, D. & Campello, R. J. G. B., 2011, Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11. IEEE, s. 522-529 6121709. (International Conference on Intelligent Systems Design and Applications, ISDA).

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  • Comparing correlation coefficients as dissimilarity measures for cancer classification in gene expression data

    Jaskowiak, P. A. & Campello, R. J. G. B., 2011, Proceedings of the Brazilian Symposium on Bioinformatics. s. 1-8

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  • Distributed fuzzy clustering with automatic detection of the number of clusters

    Vendramin, L., Campello, R. J. G. B., Coletta, L. F. S. & Hruschka, E. R., 2011, International Symposium on Distributed Computing and Artificial Intelligence. Abraham, A., Rodriguez, J. M. C., Gonzalez, S. R. & Paz Santana, J. (red.). Berlin: Springer, s. 133-140 (Advances in Intelligent and Soft Computing, Bind 91).

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  • Optimization of Volterra models with asymmetrical kernels based on generalized orthonormal functions

    Braga, M. F., MacHado, J. B., Campello, R. J. G. B. & Do Amaral, W. C., 2011, 2011 19th Mediterranean Conference on Control and Automation, MED 2011. IEEE, s. 1052-1058 5983003

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  • 2010

    A comparative study on the use of correlation coefficients for redundant feature elimination

    Jaskowiak, P. A., Campello, R. J. G. B., Covões, T. F. & Hruschka, E. R., 2010, Proceedings - 2010 11th Brazilian Symposium on Neural Networks, SBRN 2010. IEEE, s. 13-18 5715206. (Proceedings - Brazilian Symposium on Neural Networks, SBRN).

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  • Fuzzy Clustering-Based Filter

    Coletta, L. F. S., Hruschka, E. R., Covoes, T. F. & Campello, R. J. G. B., 2010, Information Processing and Management of Uncertainty in Knowledge-Based Systems Theory and Methods: 13th International Conference, IPMU 2010 Dortmund, Germny, June 28-July 2, 2010 Proceedings,ParT1. Hullermeier, E., Kruse, R. & Hoffmann, F. (red.). Springer, s. 406-415 (Communications in Computer and Information Science, Bind 80 PART 1).

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  • Robust expansion of uncertain volterra kernels into orthonormal series

    Da Rosa, A., Campello, R. J. G. B., Ferreira, P. A. V., Oliveira, G. H. C. & Amaral, W. C., 2010, Proceedings of the 2010 American Control Conference, ACC 2010. IEEE, s. 5465-5470 5530965. (Proceedings of the American Control Conference).

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  • 2009

    Comparison among Methods for k Estimation in k-means

    Naldi, M. C., Fontana, A. & Campello, R. J. G. B., 2009, ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications. IEEE, s. 1006-1013 5364434. (International Conference on Intelligent Systems Design and Applications, ISDA).

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  • Fast evolutionary algorithms for relational clustering clustering

    Horta, D. & Campello, R. J. G. B., 2009, ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications. IEEE, s. 1456-1462 5363381. (International Conference on Intelligent Systems Design and Applications, ISDA).

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  • On the comparison of relative clustering validity criteria

    Vendramin, L., Campello, R. J. G. B. & Hruschka, E. R., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. s. 729-740

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  • 2008

    A robust methodology for comparing performances of clustering validity criteria

    Vendramin, L., Campello, R. J. G. B. & Hruschka, E. R., 2008, Advances in Artificial Intelligence - SBIA 2008 - 19th Brazilian Symposium on Artificial Intelligence, Proceedings. Springer, s. 237-247 (Lecture Notes in Computer Science, Bind 5249 LNAI).

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  • 2007

    A fuzzy variant of an evolutionary algorithm for clustering

    Alves, V. S., Campello, R. J. G. B. & Hruschka, E. R., 2007, 2007 IEEE International Conference on Fuzzy Systems, FUZZY. IEEE, 4295395. (IEEE International Conference on Fuzzy Systems).

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  • Design of OBF-TS fuzzy models based on multiple clustering validity criteria

    Machado, J. B., Amaral, W. C. & Campello, R. J. G. B., 2007, Proceedings 19th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2007. IEEE, s. 336-339 4410401. (Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAI, Bind 2).

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  • 2006

    A learning object on computational intelligence

    Reis, F. A. P., Félix, Í. C., Stanzani, S. L., Campello, R. J. G. B., De Castro, L. N., Senger, H. & Rosatelli, M. C., 2006, Proceedings - Sixth International Conference on Advanced Learning Technologies, ICALT 2006. IEEE, s. 33-35 1652358. (Proceedings - International Conference on Advanced Learning Technologies (ICALT)).

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  • GA optimization of generalized OBF TS fuzzy models with global and local estimation approaches

    Medeiros, A. V., Amaral, W. C. & Campello, R. J. G. B., 2006, 2006 IEEE International Conference on Fuzzy Systems. IEEE, s. 1835-1842 1681955. (IEEE International Conference on Fuzzy Systems).

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  • GA optimization of OBF TS fuzzy models with linear and non linear local models

    Medeiros, A. V., Amaral, W. C. & Campello, R. J. G. B., 2006, Proceedings of the Ninth Brazilian Symposium on Neural Networks, SBRN'06. IEEE, s. 66-71 4026812. (Proceedings - Brazilian Symposium on Neural Networks, SBRN).

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  • Towards a fast evolutionary algorithm for clustering

    Alves, V. S., Campello, R. J. G. B. & Hruschka, E. R., 2006, 2006 IEEE Congress on Evolutionary Computation, CEC 2006. IEEE, s. 1776-1783 1688522. (IEEE Transactions on Evolutionary Computation).

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  • 2005

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

    Da Rosa, A., Amaral, W. C. & Campello, R. J. G. B., 1. dec. 2005, Proceedings of the 16th IFAC World Congress, IFAC 2005. IFAC Secretariat, s. 761-766 (IFAC Proceedings Volumes, Bind 16).

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  • Fuzzy silhouette: an alternative cluster validity measure

    J. G. B. Campello, R. & Hruschka, E. R., 2005, Proceedings of the Eleventh International Fuzzy Systems Association World Congress. Bind I.

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  • 2004

    Control of a bioprocess using orthonormal basis function fuzzy models

    Campello, R. J. G. B., Meleiro, L. A. C. & Amaral, W. C., 2004, 2004 IEEE International Conference on Fuzzy Systems - Proceedings. IEEE, s. 801-806 (IEEE International Conference on Fuzzy Systems, Bind 2).

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  • Evolutionary algorithms for clustering gene-expression data

    Hruschka, E. R., De Castro, L. N. & Campello, R. J. G. B., 2004, Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004. Rastogi, R., Morik, K., Bramer, M. & Wu, X. (red.). IEEE, s. 403-406

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  • Evolutionary search for optimal fuzzy C-means clustering

    Hruschka, E. R., Campello, R. J. G. B. & De Castro, L. N., 2004, 2004 IEEE International Conference on Fuzzy Systems - Proceedings. IEEE, s. 685-690 (IEEE International Conference on Fuzzy Systems, Bind 2).

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  • Improving the efficiency of a clustering genetic algorithm

    Hruschka, E. R., Campello, R. J. G. B. & De Castro, L. N., 2004, Advances in Artificial Intelligence -- IBERAMIA 2004. Lemaître, C., Reyes, C. A. & Gonzales, J. A. (red.). Springer, s. 861-870 (Lecture Notes in Computer Science).

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  • 2002

    Identification of a multivariate fermentation process using constructive learning

    Meleiro, L. A. C., Campello, R. J. G. B., Filho, R. M. & Von Zuben, F. J., 2002, Proceedings - 7th Brazilian Symposium on Neural Networks, SBRN 2002. IEEE, s. 19-24 1181429. (Proceedings - Brazilian Symposium on Neural Networks, SBRN, Bind 2002-January).

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