| 2026 | EUROGP | Sinking the Bloat in Genetic Programming Using Equality Saturation. | Lucas Miranda, Matheus Campos Fernandes, Emilio Francesquini, Fabrcio Olivetti de Frana |
| 2026 | GECCO | Promoting Diversity in Cartesian Genetic Programming for Image Processing with Equality Graphs. | Fabrcio Olivetti de Frana, Sylvain Cussat-Blanc, Yuri Lavinas, Paul Monsarrat |
| 2026 | GECCO | A Comparative Study of Model Selection Criteria for Symbolic Regression. | Ali Soltani, Gabriel Kronberger, Fabrcio Olivetti de Frana, Mattia Billa, Alessandro Lucantonio |
| 2025 | GECCO | Call for Action: towards the next generation of symbolic regression benchmark. | Guilherme Seidyo Imai Aldeia, Hengzhe Zhang, Geoffrey F. Bomarito, Miles D. Cranmer, Alcides Fonseca, Bogdan Burlacu, William G. La Cava, Fabrcio Olivetti de Frana |
| 2025 | GECCO | SCRBenchmark: A Benchmarking Library for Shape-Constrained Regression. | Florian Bachinger, Bernhard Werth, Jan Zenisek, Christian Haider, Fabrcio Olivetti de Frana |
| 2025 | GECCO | rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models. | Fabrcio Olivetti de Frana, Gabriel Kronberger |
| 2025 | GECCO | Improving Genetic Programming for Symbolic Regression with Equality Graphs. | Fabrcio Olivetti de Frana, Gabriel Kronberger |
| 2025 | GECCO | TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming. | Roman Kalkreuth, Fabrcio Olivetti de Frana, Anja Jankovic, Marie Anastacio, Julian Dierkes, Zdenek Vascek, Holger H. Hoos |
| 2024 | GECCO | Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing. | Guilherme Seidyo Imai Aldeia, Fabrcio Olivetti de Frana, William G. La Cava |
| 2024 | GECCO | Minimum variance threshold for epsilon-lexicase selection. | Guilherme Seidyo Imai Aldeia, Fabrcio Olivetti de Frana, William G. La Cava |
| 2024 | GECCO | Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression. | Patrick E. Leser, Geoffrey F. Bomarito, Gabriel Kronberger, Fabrcio Olivetti de Frana |
| 2024 | GECCO | Multiview Symbolic Regression. | Etienne Russeil, Fabrcio Olivetti de Frana, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clment Michelin, Guillaume Moinard, Emmanuel Gangler |
| 2024 | PPSN | The Inefficiency of Genetic Programming for Symbolic Regression. | Gabriel Kronberger, Fabrcio Olivetti de Frana, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer |
| 2023 | GECCO | HOTGP - Higher-Order Typed Genetic Programming. | Matheus Campos Fernandes, Fabrcio Olivetti de Frana, Emilio Francesquini |
| 2023 | GECCO | Fighting Underspecification in Symbolic Regression with Fitness Sharing. | Fabrcio Olivetti de Frana |
| 2023 | GECCO | Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. | Fabrcio Olivetti de Frana, Gabriel Kronberger |
| 2022 | GECCO | Interaction-transformation evolutionary algorithm with coefficients optimization. | Guilherme Seidyo Imai Aldeia, Fabrcio Olivetti de Frana |
| 2022 | GECCO | Transformation-interaction-rational representation for symbolic regression. | Fabrcio Olivetti de Frana |
| 2022 | GECCO | Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression. | Christian Haider, Fabrcio Olivetti de Frana, Gabriel Kronberger, Bogdan Burlacu |
| 2022 | SYNASC | Comparison of OLS and NLS to fit Transformation-Interaction-Rational expressions. | Fabrcio Olivetti de Frana |
| 2022 | SYNASC | Symbolic Regression with augmented dataset using RuleFit. | Fabrcio Olivetti de Frana |
| 2021 | GECCO | Measuring feature importance of symbolic regression models using partial effects. | Guilherme Seidyo Imai Aldeia, Fabrcio Olivetti de Frana |
| 2021 | GECCO | Simulated annealing for symbolic regression. | Daniel Kantor, Fernando J. Von Zuben, Fabrcio Olivetti de Frana |
| 2020 | CEC | A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. | Guilherme Seidyo Imai Aldeia, Fabrcio Olivetti de Frana |
| 2018 | CEC | Lightweight Symbolic Regression with the Interaction - Transformation Representation. | Guilherme Seidyo Imai Aldeia, Fabrcio Olivetti de Frana |
| 2018 | CEC | Combining Multiple Views from a Distance Based Feature Extraction for Text Classification. | Charles Henrique Porto Ferreira, Fabrcio Olivetti de Frana, Debora Maria Rossi de Medeiros |
| 2016 | CEC | Evolving a generalized strategy for an action-platformer video game framework. | Karine da Silva Miras de Arajo, Fabrcio Olivetti de Frana |
| 2015 | CEC | Maximization of a dissimilarity measure for multimodal optimization. | Fabrcio Olivetti de Frana |
| 2013 | CEC | Identifying overlapping communities in complex networks with multimodal optimization. | Fabrcio Olivetti de Frana, Guilherme Palermo Coelho |
| 2013 | CEC | Extending features for multilabel classification with swarm biclustering. | Ronaldo C. Prati, Fabrcio Olivetti de Frana |
| 2013 | ICMLA | Operation Planning of Hydroelectric Systems: Application of Genetic Algorithms and Differential Evolution. | Priscila C. Berbert Rampazzo, Akebo Yamakami, Fabrcio Olivetti de Frana |
| 2012 | ICMLA | Scalable Overlapping Co-clustering of Word-Document Data. | Fabrcio Olivetti de Frana |
| 2011 | CEC | A Concentration-based Artificial Immune Network for combinatorial optimization. | Guilherme Palermo Coelho, Fabrcio Olivetti de Frana, Fernando J. Von Zuben |
| 2011 | CEC | Extracting additive and multiplicative coherent biclusters with swarm intelligence. | Fabrcio Olivetti de Frana, Fernando J. Von Zuben |
| 2011 | CEC | Assessing the performance of a swarm-based biclustering technique for data imputation. | Rosana Veroneze, Fabrcio Olivetti de Frana, Fernando J. Von Zuben |
| 2010 | CEC | On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing. | Fabrcio Olivetti de Frana, Guilherme Palermo Coelho, Fernando J. Von Zuben |
| 2010 | CEC | Finding a high coverage set of 5-biclusters with swarm intelligence. | Fabrcio Olivetti de Frana, Fernando J. Von Zuben |
| 2009 | CEC | Improving a multi-objective multipopulation artificial immune network for biclustering. | Guilherme Palermo Coelho, Fabrcio Olivetti de Frana, Fernando J. Von Zuben |
| 2009 | CEC | A dynamic artificial immune algorithm applied to challenging benchmarking problems. | Fabrcio Olivetti de Frana, Fernando J. Von Zuben |
| 2008 | GECCO | Multivariate ant colony optimization in continuous search spaces. | Fabrcio Olivetti de Frana, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis Ribeiro Faissol Attux |
| 2007 | HIS | Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. | Pablo Alberto Dalbem de Castro, Fabrcio Olivetti de Frana, Hamilton M. Ferreira, Fernando J. Von Zuben |
| 2007 | ISDA | Applying Biclustering to Perform Collaborative Filtering. | Pablo A. D. de Castro, Fabrcio Olivetti de Frana, Hamilton M. Ferreira, Fernando J. Von Zuben |
| 2006 | CEC | New Perspectives for the Biclustering Problem. | Fabrcio Olivetti de Frana, George Barreto Bezerra, Fernando J. Von Zuben |
| 2006 | CEC | Handling Time-Varying TSP Instances. | Fabrcio Olivetti de Frana, Lalinka de C. T. Gomes, Leandro Nunes de Castro, Fernando J. Von Zuben |
| 2006 | CEC | Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels. | Cynthia Junqueira, Fabrcio Olivetti de Frana, Romis Ribeiro Faissol Attux, Cristiano M. Panazio, Leandro Nunes de Castro, Fernando J. Von Zuben, Joo Marcos Travassos Romano |
| 2005 | GECCO | An artificial immune network for multimodal function optimization on dynamic environments. | Fabrcio Olivetti de Frana, Fernando J. Von Zuben, Leandro Nunes de Castro |
| 2004 | ICONIP | Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. | Fabrcio Olivetti de Frana, Fernando J. Von Zuben, Leandro Nunes de Castro |