Selected Publications

2021

BASGALUPP, MARCIO P. ; CERRI, RICARDO ; SCHIETGAT, LEANDER ; TRIGUERO, I. ; VENS, C. . Beyond global and local multi-target learning. INFORMATION SCIENCES, 2021. [DOI]

CHRISTINELLI, W. A. ; SHIMIZU, F. M. ; FACURE, M. H. M. ; CERRI, R. ; OLIVEIRA JR., O. N. ; CORREA, D. S. ; MATTOSO, L. H. C. Two-dimensional MoS2-based impedimetric electronic tongue for the discrimination of endocrine disrupting chemicals using machine learning. SENSORS AND ACTUATORS B-CHEMICAL, 2021. [DOI]

MIRANDA, THIAGO ZAFALON ; SARDINHA, DIORGE BROGNARA ; CERRI, RICARDO. Preventing the generation of inconsistent sets of crisp classification rules. EXPERT SYSTEMS WITH APPLICATIONS, 2021. [DOI]

CERRI, R.; COSTA JUNIOR, J. D. ; FARIA, ELAINE ; GAMA, JOAO. A new Self-Organizing Map based Algorithm for Multi-label Stream Classification. In Proceedings of the 36th Annual ACM Symposium on Applied Computing (SAC '21). Association for Computing Machinery, New York, NY, USA, 418–426, 2021. [DOI]

2020

SANTOS, B. Z. ; KENJI NAKANO, FELIPE ; CERRI, RICARDO ; VENS, CELINE. Predictive Bi-Clustering Trees for Hierarchical Multi-label Classification. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020, Ghent. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. [DOI]

NAKANO, FELIPE KENJI ; CERRI, RICARDO ; VENS, CELINE. Active learning for hierarchical multi-label classification. DATA MINING AND KNOWLEDGE DISCOVERY, p. 1-35, 2020. [DOI]

MASTELINI, SAULO MARTIELLO ; SANTANA, EVERTON JOSE ; CERRI, R. ; BARBON, S. J. DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking. APPLIED SOFT COMPUTING, p. 106215-27, 2020. [DOI]

2019

COSTA JUNIOR, JOEL D. ; FARIA, ELAINE R. ; SILVA, JONATHAN A. ; GAMA, JOAO ; CERRI, RICARDO. Pruned Sets for Multi-Label Stream Classification without True Labels. In: 2019 International Joint Conference on Neural Networks (IJCNN), p. 1-8, 2019 [DOI]

COSTA JUNIOR, JOEL ; FARIA, ELAINE ; SILVA, JONATHAN ; GAMA, JOAO ; CERRI, RICARDO. Novelty Detection for Multi-Label Stream Classification. In: 8th Brazilian Conference on Intelligent Systems (BRACIS), p. 144-149, 2019 [DOI]

PEREIRA, GEAN TRINDADE ; GABRIEL, PAULO. H. R. ; CERRI, RICARDO. A lexicographic genetic algorithm for hierarchical classification rule induction. In: the Genetic and Evolutionary Computation Conference, 2019, Prague. Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO, p. 846-854, 2019 [DOI]

AMARAL, D. T. ; BONATELLI, I. A. S. ; CERRI, R. ; VIVIANI, V. R. Phylogenomic analyses and divergence time estimation of Elateroidea (Coleoptera) based on RNA-Seq data. Comparative Biochemistry and Physiology D-Genomics & Proteomics, v. 30, p. 283-289, 2019. [DOI]

CERRI, RICARDO; BASGALUPP, MÁRCIO P. ; BARROS, RODRIGO C. ; CARVALHO, ANDRÉ CARLOS P.L.F. Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. APPLIED SOFT COMPUTING, v. 77, p. 584-604, 2019. [DOI]

MASTELINI, SAULO MARTIELLO ; DA COSTA, VICTOR GUILHERME TURRISI ; SANTANA, EVERTON JOSE ; NAKANO, FELIPE KENJI ; GUIDO, RODRIGO CAPOBIANCO ; CERRI, RICARDO ; BARBON, SYLVIO. Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach. JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL, IMAGE, AND VIDEO TECHNOLOGY (ONLINE), v. 91, p. 191-215, 2019. [DOI]

2018

SCHIETGAT, L. ; VENS, C. ; CERRI, R. ; FISCHER, C. N. ; COSTA, E. P. ; Ramon, J ; CARARETO, C. M. ; BLOCKEEL, H. A machine learning based framework to identify and classify long terminal repeat retrotransposons. PLOS COMPUTATIONAL BIOLOGY (ONLINE), v. 14, p. e1006097 [DOI]

PEREIRA, G. T. ; CERRI, RICARDO . Hierarchical and Non-Hierarchical Classification of Transposable Elements with a Genetic Algorithm. Journal of Information and Data Management - JIDM, v. 9, p. 163-178, 2018 [ON LINE]

WEHRMANN, J. ; CERRI, R. ; Barros, R. C. Hierarchical Multilabel Classification Networks. In: International Conference on Machine Learning (ICML), 2018, Stockholm, Sweden. Proceedings of the 35th International Conference on Machine Learning (ICML) [DOI]

NAKANO, F. K. ; MASTELINI, S. ; BARBON JUNIOR, S. ; CERRI, RICARDO . Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. In: International Joint Conference on Neural Networks (IJCNN 2018), 2018, Rio de Janeiro. Anais do International Joint Conference on Neural Networks (IJCNN) [DOI]

PEREIRA, G. T. ; SANTOS, B. Z. ; CERRI, RICARDO . A Genetic Algorithm for Transposable Elements Hierarchical Classification Rule Induction. In: IEEE International Congress on Evolutionary Computation, 2018, Rio de Janeiro. Anais do IEEE International Congress on Evolutionary Computation (CEC) [DOI]

CERRI, RICARDO; MANTOVANI, R. G. ; BASGALUPP, MARCIO P. ; Carvalho, A. C. P. L. F . Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. In: International Joint Conference on Neural Networks, 2018, Rio de Janeiro. Anais do International Joint Conference on Neural Networks (IJCNN) [DOI]

2017

WEHRMANN, JONATAS ; BARROS, RODRIGO C. ; DORES, SILVIA N. DAS ; CERRI, RICARDO. Hierarchical multi-label classification with chained neural networks. In: the Symposium, 2017, Marrakech. Proceedings of the Symposium on Applied Computing - SAC '17. New York: ACM Press, 2017. p. 790-795. [DOI]

DE ABREU, IURI BONNA M. ; MANTOVANI, RAFAEL G. ; CERRI, RICARDO. Incorporating instance correlations in multi-label classification via label-space. In: 2017 International Joint Conference on Neural Networks (IJCNN), 2017, Anchorage. 2017 International Joint Conference on Neural Networks (IJCNN), 2017. p. 581-588. [DOI]

NAKANO, FELIPE KENJI ; PINTO, WALTER JOSE ; PAPPA, GISELE LOBO ; CERRI, RICARDO. Top-down strategies for hierarchical classification of transposable elements with neural networks. In: 2017 International Joint Conference on Neural Networks (IJCNN), 2017, Anchorage. 2017 International Joint Conference on Neural Networks (IJCNN), 2017. p. 2539-2546. [DOI]

COLOMBINI, GUSTAVO G. ; DE ABREU, IURI BONNA M. ; CERRI, RICARDO. A self-organizing map-based method for multi-label classification. In: 2017 International Joint Conference on Neural Networks (IJCNN), 2017, Anchorage. 2017 International Joint Conference on Neural Networks (IJCNN), 2017. p. 4291-4298. [DOI]

NAKANO, FELIPE KENJI ; MARTIELLO MASTELINI, SAULO ; BARBON, SYLVIO ; CERRI, RICARDO. Stacking Methods for Hierarchical Classification. In: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017, Cancun. 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017. p. 289-296. [DOI]

2016

CERRI, R.; Barros, R. C. ; Carvalho, A. C. P. L. F ; JIN, Y. Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC BIOINFORMATICS, v. 17, p. 373-24, 2016. [DOI]

MANTOVANI, RAFAEL G. ; HORVATH, TOMAS ; CERRI, RICARDO ; VANSCHOREN, JOAQUIN ; CARVALHO, ANDRE C.P.L.F. DE. Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016, Recife. 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016. p. 37-42. [DOI]

2015

FISCHER, C. N. ; CARARETO, C. M. ; SANTOS, R. A. C. ; CERRI, R. ; COSTA, E. P. ; SCHIETGAT, L. ; VENS, C. Learning HMMs for Nucleotide Sequences from Amino Acid Alignments. Bioinformatics (Oxford. Print), v. 31, p. 1-3, 2015. [DOI]

CERRI, RICARDO; PAPPA, GISELE L. ; CARVALHO, ANDRE CARLOS P.L.F. ; FREITAS, ALEX A. An Extensive Evaluation of Decision Tree-Based Hierarchical Multi-Label Classification Methods and Performance Measures. Computational Intelligence, v. 31, p. 1-46, 2015. [DOI]

CERRI, RICARDO; BARROS, RODRIGO C. ; DE CARVALHO, ANDRE C. P. L. F. Hierarchical classification of Gene Ontology-based protein functions with neural networks. In: 2015 International Joint Conference on Neural Networks (IJCNN), 2015, Killarney. 2015 International Joint Conference on Neural Networks (IJCNN). p. 1-8. [DOI]