| 2026 | AAAI | Oxytrees: Model Trees for Bipartite Learning. | Pedro Ildio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens |
| 2025 | CEC | Grammar-based Evolutionary Approaches for Software Effort Estimation. | Mrcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Pricles B. C. Miranda, Teresa Bernarda Ludermir |
| 2025 | CIBCB | Inductive models for structured output prediction of lncRNA-disease associations. | Felipe Kenji Nakano, Livia Bertoni, Ricardo Cerri, Celine Vens |
| 2024 | CIBCB | Classification of LTR Retrotransposons via Interaction Prediction. | Silvana C. S. Cardoso, Douglas Silva Domingues, Alexandre Rossi Paschoal, Carlos N. Fischer, Ricardo Cerri |
| 2024 | IJCNN | Ensemble Methods for Selecting Single Nucleotide Polymorphisms Associated to Rice Phenotypes. | Breno O. Funicheli, Claudio Brondani, Rosana P. Vianello, Ricardo Cerri |
| 2024 | IJCNN | Deep forests with tree-embeddings and label imputation for weak-label learning. | Pedro Ildio, Ricardo Cerri, Celine Vens, Felipe Kenji Nakano |
| 2024 | SAC | Fast Bipartite Forests for Semi-supervised Interaction Prediction. | Pedro Ildio, Andr Hallwas Ribeiro Alves, Ricardo Cerri |
| 2023 | IJCNN | A New Time Series Framework for Forest Fire Risk Forecasting and Classification. | Bruna Zamith Santos, Balbina Maria Araujo Soriano, Marcelo Gonalves Narciso, Diego Furtado Silva, Ricardo Cerri |
| 2023 | SAC | Semi-Supervised Hybrid Predictive Bi-Clustering Trees for Drug-Target Interaction Prediction. | Andr Hallwas Ribeiro Alves, Pedro Ildio, Ricardo Cerri |
| 2022 | GECCO | A new grammatical evolution method for generating deep convolutional neural networks with novel topologies. | Thiago Zafalon Miranda, Diorge Brognara Sardinha, Mrcio Porto Basgalupp, Ricardo Cerri |
| 2022 | ICMLA | An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. | Ricardo Cerri, Elaine R. Faria, Joo Gama |
| 2022 | IJCNN | A Two-step Model for Drug-Target Interaction Prediction with Predictive Bi-Clustering Trees and XGBoost. | Andr Hallwas Ribeiro Alves, Ricardo Cerri |
| 2021 | IJCNN | Exploring Autoencoders for Feature Extraction in Multi-Target Classification. | Brendon Gouveia Cambu, Rafael Gomes Mantovani, Ricardo Cerri |
| 2021 | IJCNN | Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification. | Elaine Ceclia Gatto, Mauri Ferrandin, Ricardo Cerri |
| 2021 | IDA | Feature Selection for Hierarchical Multi-label Classification. | Luan V. M. da Silva, Ricardo Cerri |
| 2021 | SAC | A new self-organizing map based algorithm for multi-label stream classification. | Ricardo Cerri, Joel David Costa Jnior, Elaine R. Faria, Joo Gama |
| 2020 | GECCO | Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. | Thiago Zafalon Miranda, Diorge Brognara Sardinha, Mrcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri |
| 2019 | EPIA | Hierarchical Classification of Transposable Elements with a Weighted Genetic Algorithm. | Gean Trindade Pereira, Paulo Henrique Ribeiro Gabriel, Ricardo Cerri |
| 2019 | GECCO | A lexicographic genetic algorithm for hierarchical classification rule induction. | Gean Trindade Pereira, Paulo Henrique Ribeiro Gabriel, Ricardo Cerri |
| 2019 | IJCNN | Pruned Sets for Multi-Label Stream Classification without True Labels. | Joel D. Costa Jnior, Elaine R. Faria, Jonathan de Andrade Silva, Joo Gama, Ricardo Cerri |
| 2018 | CEC | A Genetic Algorithm for Transposable Elements Hierarchical Classification Rule Induction. | Gean Trindade Pereira, Bruna Zamith Santos, Ricardo Cerri |
| 2018 | ICML | Hierarchical Multi-Label Classification Networks. | Jonatas Wehrmann, Ricardo Cerri, Rodrigo C. Barros |
| 2018 | IJCNN | Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. | Ricardo Cerri, Rafael Gomes Mantovani, Mrcio P. Basgalupp, Andr C. P. L. F. de Carvalho |
| 2018 | IJCNN | Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks. | Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri |
| 2017 | ICMLA | Stacking Methods for Hierarchical Classification. | Felipe Kenji Nakano, Saulo Martiello Mastelini, Sylvio Barbon, Ricardo Cerri |
| 2017 | IJCNN | Incorporating instance correlations in multi-label classification via label-space. | Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri |
| 2017 | IJCNN | A self-organizing map-based method for multi-label classification. | Gustavo G. Colombini, Iuri Bonna M. de Abreu, Ricardo Cerri |
| 2017 | IJCNN | Top-down strategies for hierarchical classification of transposable elements with neural networks. | Felipe Kenji Nakano, Walter Jos G. S. Pinto, Gisele Lobo Pappa, Ricardo Cerri |
| 2017 | SAC | Hierarchical multi-label classification with chained neural networks. | Jonatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dres, Ricardo Cerri |
| 2015 | IJCNN | Hierarchical classification of Gene Ontology-based protein functions with neural networks. | Ricardo Cerri, Rodrigo C. Barros, Andr C. P. L. F. de Carvalho |
| 2014 | GECCO | Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. | Ricardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2013 | CEC | A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules. | Ricardo Cerri, Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas |
| 2013 | GECCO | A grammatical evolution approach for software effort estimation. | Rodrigo C. Barros, Mrcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, Andr C. P. L. F. de Carvalho |
| 2012 | SAC | A genetic algorithm for Hierarchical Multi-Label Classification. | Ricardo Cerri, Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2011 | ISDA | A bottom-up oblique decision tree induction algorithm. | Rodrigo C. Barros, Ricardo Cerri, Pablo A. Jaskowiak, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2011 | ISDA | Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks. | Ricardo Cerri, Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho |
| 2010 | IJCNN | New top-down methods using SVMs for Hierarchical Multilabel Classification problems. | Ricardo Cerri, Andr Carlos Ponce de Leon Ferreira de Carvalho |