Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques. - Ricardo Cerri; Renato R. O. da Silva; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2009)

New top-down methods using SVMs for Hierarchical Multilabel Classification problems. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (IJCNN, 2010)

Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2010)

A bottom-up oblique decision tree induction algorithm. - Rodrigo C. Barros; Ricardo Cerri; Pablo A. Jaskowiak; André Carlos Ponce de Leon Ferreira de Carvalho (ISDA, 2011)

Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho (ISDA, 2011)

Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2011)

Adapting non-hierarchical multilabel classification methods for hierarchical multilabel classification. - Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (Intell. Data Anal., 2011)

A genetic algorithm for Hierarchical Multi-Label Classification. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho (SAC, 2012)

Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors. - Ricardo Cerri; Rodrigo Coelho Barros; André C. P. L. F. de Carvalho (BRACIS, 2013)

A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (IEEE Congress on Evolutionary Computation, 2013)

A grammatical evolution approach for software effort estimation. - Rodrigo C. Barros; Márcio P. Basgalupp; Ricardo Cerri; Tiago Silva da Silva; André C. P. L. F. de Carvalho (GECCO, 2013)

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions. - Rodrigo C. Barros; Ricardo Cerri; Alex Alves Freitas; André Carlos Ponce de Leon Ferreira de Carvalho (ECML/PKDD (2), 2013)

Neural networks and genetic algorithms for hierarchical multi-label classification. - Ricardo Cerri (2013)

Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. - Ricardo Cerri; Rodrigo C. Barros; Alex Alves Freitas; André Carlos Ponce de Leon Ferreira de Carvalho (GECCO (Companion), 2014)

A framework for bottom-up induction of oblique decision trees. - Rodrigo C. Barros; Pablo A. Jaskowiak; Ricardo Cerri; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2014)

Hierarchical multi-label classification using local neural networks. - Ricardo Cerri; Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho (J. Comput. Syst. Sci., 2014)

Hierarchical classification of Gene Ontology-based protein functions with neural networks. - Ricardo Cerri; Rodrigo C. Barros; André C. P. L. F. de Carvalho (IJCNN, 2015)

Learning HMMs for nucleotide sequences from amino acid alignments. - Carlos N. Fischer; Claudia M. A. Carareto; Renato Augusto Corrêa dos Santos; Ricardo Cerri; Eduardo P. Costa; Leander Schietgat; Celine Vens (Bioinform., 2015)

An Extensive Evaluation of Decision Tree-Based Hierarchical Multilabel Classification Methods and Performance Measures. - Ricardo Cerri; Gisele L. Pappa; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (Comput. Intell., 2015)

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm. - Rafael Gomes Mantovani; Tomás Horváth; Ricardo Cerri; Joaquin Vanschoren; André C. P. L. F. de Carvalho (BRACIS, 2016)

Reduction strategies for hierarchical multi-label classification in protein function prediction. - Ricardo Cerri; Rodrigo C. Barros; André C. P. L. F. de Carvalho; Yaochu Jin (BMC Bioinform., 2016)

DSTARS: A Multi-target Deep Structure for Tracking Asynchronous Regressor Stack. - Saulo Martiello Mastelini; Everton Jose Santana; Ricardo Cerri; Sylvio Barbon (BRACIS, 2017)

Stacking Methods for Hierarchical Classification. - Felipe Kenji Nakano; Saulo Martiello Mastelini; Sylvio Barbon; Ricardo Cerri (ICMLA, 2017)

Incorporating instance correlations in multi-label classification via label-space. - Iuri Bonna M. de Abreu; Rafael Gomes Mantovani; Ricardo Cerri (IJCNN, 2017)

A self-organizing map-based method for multi-label classification. - Gustavo G. Colombini; Iuri Bonna M. de Abreu; Ricardo Cerri (IJCNN, 2017)

Top-down strategies for hierarchical classification of transposable elements with neural networks. - Felipe Kenji Nakano; Walter José G. S. Pinto; Gisele Lobo Pappa; Ricardo Cerri (IJCNN, 2017)

Hierarchical multi-label classification with chained neural networks. - Jonatas Wehrmann; Rodrigo C. Barros; Silvia N. das Dôres; Ricardo Cerri (SAC, 2017)

Strategies for Selection of Positive and Negative Instances in the Hierarchical Classification of Transposable Elements. - Bruna Zamith Santos; Gean Trindade Pereira; Felipe Kenji Nakano; Ricardo Cerri (BRACIS, 2018)

A Genetic Algorithm for Transposable Elements Hierarchical Classification Rule Induction. - Gean Trindade Pereira; Bruna Zamith Santos; Ricardo Cerri (CEC, 2018)

Hierarchical Multi-Label Classification Networks. - Jonatas Wehrmann; Ricardo Cerri; Rodrigo C. Barros (ICML, 2018)

Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. - Ricardo Cerri; Rafael Gomes Mantovani; Márcio P. Basgalupp; André C. P. L. F. de Carvalho (IJCNN, 2018)

Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. - Felipe Kenji Nakano; Saulo Martiello Mastelini; Sylvio Barbon; Ricardo Cerri (IJCNN, 2018)

An empirical study on hyperparameter tuning of decision trees. - Rafael Gomes Mantovani; Tomás Horváth; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André Carlos Ponce de Leon Ferreira de Carvalho (CoRR, 2018)

Applying multi-label techniques in emotion identification of short texts. - Alex Marino Gonçalves de Almeida; Ricardo Cerri; Emerson Cabrera Paraiso; Rafael Gomes Mantovani; Sylvio Barbon Junior (Neurocomputing, 2018)

frontmatter. - Angelo Brayner; Maristela Holanda; Ricardo Cerri (J. Inf. Data Manag., 2018)

Hierarchical and Non-Hierarchical Classification of Transposable Elements with a Genetic Algorithm. - Gean Trindade Pereira; Ricardo Cerri (J. Inf. Data Manag., 2018)

A machine learning based framework to identify and classify long terminal repeat retrotransposons. - Leander Schietgat; Celine Vens; Ricardo Cerri; Carlos N. Fischer; Eduardo P. Costa; Jan Ramon; Claudia M. A. Carareto; Hendrik Blockeel (PLoS Comput. Biol., 2018)

Hierarchical Classification of Transposable Elements. - Felipe Kenji Nakano; Ricardo Cerri (BNAIC/BENELEARN, 2019)

Novelty Detection for Multi-Label Stream Classification. - Joel D. Costa Júnior; Elaine Ribeiro de Faria; Jonathan de Andrade Silva; João Gama 001; Ricardo Cerri (BRACIS, 2019)

Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm. - Gean Trindade Pereira; Paulo Henrique Ribeiro Gabriel; Ricardo Cerri (EPIA (1), 2019)

A lexicographic genetic algorithm for hierarchical classification rule induction. - Gean Trindade Pereira; Paulo Henrique Ribeiro Gabriel; Ricardo Cerri (GECCO, 2019)

Pruned Sets for Multi-Label Stream Classification without True Labels. - Joel D. Costa Júnior; Elaine R. Faria; Jonathan de Andrade Silva; João Gama 001; Ricardo Cerri (IJCNN, 2019)

Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. - Ricardo Cerri; Márcio P. Basgalupp; Rodrigo C. Barros; André C. P. L. F. de Carvalho (Appl. Soft Comput., 2019)

Preventing the Generation of Inconsistent Sets of Classification Rules. - Thiago Zafalon Miranda; Diorge Brognara Sardinha; Ricardo Cerri (CoRR, 2019)

Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach. - Saulo Martiello Mastelini; Victor Guilherme Turrisi da Costa; Everton Jose Santana; Felipe Kenji Nakano; Rodrigo Capobianco Guido; Ricardo Cerri; Sylvio Barbon Junior (J. Signal Process. Syst., 2019)

Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. - Thiago Zafalon Miranda; Diorge Brognara Sardinha; Márcio Porto Basgalupp; Yaochu Jin; Ricardo Cerri (GECCO Companion, 2020)

Predictive Bi-clustering Trees for Hierarchical Multi-label Classification. - Bruna Zamith Santos; Felipe Kenji Nakano; Ricardo Cerri; Celine Vens (ECML/PKDD (3), 2020)

DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking. - Saulo Martiello Mastelini; Everton Jose Santana; Ricardo Cerri; Sylvio Barbon Jr. (Appl. Soft Comput., 2020)

Multi-label Stream Classification with Self-Organizing Maps. - Ricardo Cerri; Joel David Costa Júnior; Elaine Ribeiro de Faria Paiva; João Manuel Portela da Gama (CoRR, 2020)

Active learning for hierarchical multi-label classification. - Felipe Kenji Nakano; Ricardo Cerri; Celine Vens (Data Min. Knowl. Discov., 2020)

Feature Selection for Hierarchical Multi-label Classification. - Luan V. M. da Silva; Ricardo Cerri (IDA, 2021)

Exploring Autoencoders for Feature Extraction in Multi-Target Classification. - Brendon Gouveia Cambuí; Rafael Gomes Mantovani; Ricardo Cerri (IJCNN, 2021)

Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification. - Elaine Cecília Gatto; Mauri Ferrandin; Ricardo Cerri (IJCNN, 2021)

A new self-organizing map based algorithm for multi-label stream classification. - Ricardo Cerri; Joel David Costa Júnior; Elaine R. Faria; João Gama 001 (SAC, 2021)

Preventing the generation of inconsistent sets of crisp classification rules. - Thiago Zafalon Miranda; Diorge Brognara Sardinha; Ricardo Cerri (Expert Syst. Appl., 2021)

Beyond global and local multi-target learning. - Márcio P. Basgalupp; Ricardo Cerri; Leander Schietgat; Isaac Triguero; Celine Vens (Inf. Sci., 2021)

The experience of teaching introductory programming skills to bioscientists in Brazil. - Luíza Zuvanov; Ana Letycia Basso Garcia; Fernando Henrique Correr; Rodolfo Bizarria Jr.; Ailton Pereira da Costa Filho; Alisson Hayasi da Costa; Andréa T. Thomaz; Ana Lucia Mendes Pinheiro; Diego Mauricio Riaño-Pachón; Flavia Vischi Winck; Franciele Grego Esteves; Gabriel Rodrigues Alves Margarido; et al. (PLoS Comput. Biol., 2021)

A new grammatical evolution method for generating deep convolutional neural networks with novel topologies. - Thiago Zafalon Miranda; Diorge Brognara Sardinha; Márcio Porto Basgalupp; Ricardo Cerri (GECCO Companion, 2022)

An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. - Ricardo Cerri; Elaine R. Faria; João Gama 001 (ICMLA, 2022)

A Two-step Model for Drug-Target Interaction Prediction with Predictive Bi-Clustering Trees and XGBoost. - André Hallwas Ribeiro Alves; Ricardo Cerri (IJCNN, 2022)

Community Detection for Multi-label Classification. - Elaine Cecília Gatto; Alan Demétrius Baria Valejo; Mauri Ferrandin; Ricardo Cerri (BRACIS (1), 2023)

Constructive Machine Learning and Hierarchical Multi-label Classification for Molecules Design. - Rodney Renato de Souza Silva; Ricardo Cerri (BRACIS (2), 2023)

AutoMMLC: An Automated and Multi-objective Method for Multi-label Classification. - Aline Marques Del Valle; Rafael Gomes Mantovani; Ricardo Cerri (BRACIS (2), 2023)

A New Time Series Framework for Forest Fire Risk Forecasting and Classification. - Bruna Zamith Santos; Balbina Maria Araujo Soriano; Marcelo Gonçalves Narciso; Diego Furtado Silva; Ricardo Cerri (IJCNN, 2023)

Semi-Supervised Hybrid Predictive Bi-Clustering Trees for Drug-Target Interaction Prediction. - André Hallwas Ribeiro Alves; Pedro Ilidio; Ricardo Cerri (SAC, 2023)

Novelty detection for multi-label stream classification under extreme verification latency. - Joel D. Costa; Elaine R. Faria; Jonathan de Andrade Silva; João Gama 001; Ricardo Cerri (Appl. Soft Comput., 2023)

Multi-label classification via closed frequent labelsets and label taxonomies. - Mauri Ferrandin; Ricardo Cerri (Soft Comput., 2023)

A systematic literature review on AutoML for multi-target learning tasks. - Aline Marques Del Valle; Rafael Gomes Mantovani; Ricardo Cerri (Artif. Intell. Rev., 2023)

Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization. - Leonardo U. Alcantara; Isaac Triguero; Ricardo Cerri (BRACIS (2), 2024)

Comparative Analysis of Machine Learning Algorithms for Identifying Genetic Markers Linked to Alzheimer's Disease. - Juliana Alves; Eduardo Costa 003; Alencar Xavier; Luiz Brito; Ricardo Cerri (BRACIS (3), 2024)

Growing Self-Organizing Maps for Multi-label Classification. - Pedro Henrique Casarotto; Ricardo Cerri (BRACIS (2), 2024)

Classification of LTR Retrotransposons via Interaction Prediction. - Silvana C. S. Cardoso; Douglas Silva Domingues; Alexandre Rossi Paschoal; Carlos N. Fischer; Ricardo Cerri (CIBCB, 2024)

Ensemble Methods for Selecting Single Nucleotide Polymorphisms Associated to Rice Phenotypes. - Breno O. Funicheli; Claudio Brondani; Rosana P. Vianello; Ricardo Cerri (IJCNN, 2024)

Deep forests with tree-embeddings and label imputation for weak-label learning. - Pedro Ilidio; Ricardo Cerri; Celine Vens; Felipe Kenji Nakano (IJCNN, 2024)

Fast Bipartite Forests for Semi-supervised Interaction Prediction. - Pedro Ilidio; André Hallwas Ribeiro Alves; Ricardo Cerri (SAC, 2024)

Automated CNN optimization using multi-objective grammatical evolution. - Cleber A. C. F. da Silva; Daniel Carneiro Rosa; Péricles B. C. Miranda; Tapas Si; Ricardo Cerri; Márcio P. Basgalupp (Appl. Soft Comput., 2024)

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. - Rafael Gomes Mantovani; Tomás Horváth; André L. D. Rossi; Ricardo Cerri; Sylvio Barbon Junior; Joaquin Vanschoren; André C. P. L. F. de Carvalho (Data Min. Knowl. Discov., 2024)

A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies. - Thiago Zafalon Miranda; Diorge Brognara Sardinha; Ferrante Neri; Márcio P. Basgalupp; Ricardo Cerri (Appl. Soft Comput., 2024)

Grammar-based Evolutionary Approaches for Software Effort Estimation. - Márcio P. Basgalupp; Rodrigo C. Barros; Ricardo Cerri; Ferrante Neri; Péricles B. C. Miranda; Teresa Bernarda Ludermir (CEC, 2025)

Ensemble multi-label classification using closed frequent labelsets and label taxonomies. - Mauri Ferrandin; Ricardo Cerri (Appl. Soft Comput., 2025)

Multi-label classification with label clusters. - Elaine Cecília Gatto; Mauri Ferrandin; Ricardo Cerri (Knowl. Inf. Syst., 2025)

ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers. - Douglas Monteiro Cavalcanti; Ricardo Cerri; Elaine Ribeiro de Faria (Data Min. Knowl. Discov., 2025)