Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. - Fabrício Olivetti de França; Fernando J. Von Zuben; Leandro Nunes de Castro (ICONIP, 2004)

An artificial immune network for multimodal function optimization on dynamic environments. - Fabrício Olivetti de França; Fernando J. Von Zuben; Leandro Nunes de Castro (GECCO, 2005)

Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions. - Fabrício Olivetti de França; Fernando J. Von Zuben; Leandro Nunes de Castro (Informatica (Slovenia), 2005)

New Perspectives for the Biclustering Problem. - Fabrício Olivetti de França; George Barreto Bezerra; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2006)

Handling Time-Varying TSP Instances. - Fabrício Olivetti de França; Lalinka de C. T. Gomes; Leandro Nunes de Castro; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2006)

Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels. - Cynthia Junqueira; Fabrício Olivetti de França; Romis Ribeiro Faissol Attux; Cristiano M. Panazio; Leandro Nunes de Castro; Fernando J. Von Zuben; João Marcos Travassos Romano (IEEE Congress on Evolutionary Computation, 2006)

Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. - Pablo Alberto Dalbem de Castro; Fabrício Olivetti de França; Hamilton M. Ferreira; Fernando J. Von Zuben (HIS, 2007)

Applying Biclustering to Text Mining: An Immune-Inspired Approach. - Pablo Alberto Dalbem de Castro; Fabrício Olivetti de França; Hamilton M. Ferreira; Fernando J. Von Zuben (ICARIS, 2007)

Applying Biclustering to Perform Collaborative Filtering. - Pablo A. D. de Castro; Fabrício Olivetti de França; Hamilton M. Ferreira; Fernando J. Von Zuben (ISDA, 2007)

bicACO: An Ant Colony Inspired Biclustering Algorithm. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Fernando J. Von Zuben (ANTS Conference, 2008)

Multivariate ant colony optimization in continuous search spaces. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Fernando J. Von Zuben; Romis Ribeiro Faissol Attux (GECCO, 2008)

A Multi-Objective Multipopulation Approach for Biclustering. - Guilherme Palermo Coelho; Fabrício Olivetti de França; Fernando J. Von Zuben (ICARIS, 2008)

Improving a multi-objective multipopulation artificial immune network for biclustering. - Guilherme Palermo Coelho; Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2009)

A dynamic artificial immune algorithm applied to challenging benchmarking problems. - Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2009)

Multi-Objective Biclustering: When Non-dominated Solutions are not Enough. - Guilherme Palermo Coelho; Fabrício Olivetti de França; Fernando J. Von Zuben (J. Math. Model. Algorithms, 2009)

On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2010)

Finding a high coverage set of 5-biclusters with swarm intelligence. - Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2010)

Conceptual and Practical Aspects of the aiNet Family of Algorithms. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Pablo A. D. Castro; Fernando J. Von Zuben (Int. J. Nat. Comput. Res., 2010)

Query expansion using an immune-inspired biclustering algorithm. - Pablo Alberto Dalbem de Castro; Fabrício Olivetti de França; Hamilton M. Ferreira; Guilherme Palermo Coelho; Fernando J. Von Zuben (Nat. Comput., 2010)

Biclustering on uncertain data analysis. - Fabrício Olivetti de França (2010)

A Concentration-based Artificial Immune Network for combinatorial optimization. - Guilherme Palermo Coelho; Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2011)

Extracting additive and multiplicative coherent biclusters with swarm intelligence. - Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2011)

Assessing the performance of a swarm-based biclustering technique for data imputation. - Rosana Veroneze; Fabrício Olivetti de França; Fernando J. Von Zuben (IEEE Congress on Evolutionary Computation, 2011)

Scalable Overlapping Co-clustering of Word-Document Data. - Fabrício Olivetti de França (ICMLA (1), 2012)

A Fuzzy Inference System to Determine the Number of Clones in a Class of Artificial Immune Systems. - Luiz Antonio Carraro; Leandro Nunes de Castro; Angelita Maria de Ré; Fabrício Olivetti de França (Int. J. Comput. Intell. Appl., 2012)

Identifying overlapping communities in complex networks with multimodal optimization. - Fabrício Olivetti de França; Guilherme Palermo Coelho (IEEE Congress on Evolutionary Computation, 2013)

Extending features for multilabel classification with swarm biclustering. - Ronaldo C. Prati; Fabrício Olivetti de França (IEEE Congress on Evolutionary Computation, 2013)

Operation Planning of Hydroelectric Systems: Application of Genetic Algorithms and Differential Evolution. - Priscila C. Berbert Rampazzo; Akebo Yamakami; Fabrício Olivetti de França (ICMLA (2), 2013)

Predicting missing values with biclustering: A coherence-based approach. - Fabrício Olivetti de França; Guilherme Palermo Coelho; Fernando J. Von Zuben (Pattern Recognit., 2013)

Iterative Universal Hash Function Generator for Minhashing. - Fabrício Olivetti de França (CoRR, 2014)

Maximizing Diversity for Multimodal Optimization. - Fabrício Olivetti de França (CoRR, 2014)

Maximization of a dissimilarity measure for multimodal optimization. - Fabrício Olivetti de França (CEC, 2015)

A Flexible Fitness Function for Community Detection in Complex Networks. - Fabrício Olivetti de França; Guilherme Palermo Coelho (CompleNet, 2015)

The proposal of dynamic thresholds in an immune algorithm for fuzzy clustering. - Alexandre Szabo; Fabrício Olivetti de França (FUZZ-IEEE, 2015)

The message does not matter: the influence of the network on information diffusion. - Fabrício Olivetti de França; Denise H. Goya; Claudio Luis de Camargo Penteado (CoRR, 2015)

A biclustering approach for classification with mislabeled data. - Fabrício Olivetti de França; André L. V. Coelho (Expert Syst. Appl., 2015)

Evolving a generalized strategy for an action-platformer video game framework. - Karine da Silva Miras de Araújo; Fabrício Olivetti de França (CEC, 2016)

The People Have Spoken: Conflicting Brazilian Protests on Twitter. - Cassia de Souza Carvalho; Fabrício Olivetti de França; Denise Hideko Goya; Claudio Luis de Camargo Penteado (HICSS, 2016)

The Influence of Retweeting Robots During Brazilian Protests. - Eric Tadeu Camacho de Oliveira; Fabrício Olivetti de França; Denise Hideko Goya; Claudio Luis de Camargo Penteado (HICSS, 2016)

An electronic-game framework for evaluating coevolutionary algorithms. - Karine da Silva Miras de Araújo; Fabrício Olivetti de França (CoRR, 2016)

Enhanced perceptrons using contrastive biclusters. - André L. V. Coelho; Fabrício Olivetti de França (CoRR, 2016)

A hash-based co-clustering algorithm for categorical data. - Fabrício Olivetti de França (Expert Syst. Appl., 2016)

Brazilians Divided: Political Protests as Told by Twitter. - Cassia de Souza Carvalho; Fabrício Olivetti de França; Denise Hideko Goya; Claudio Luis de Camargo Penteado (Trans. Large Scale Data Knowl. Centered Syst., 2016)

Lightweight Symbolic Regression with the Interaction - Transformation Representation. - Guilherme Seidyo Imai Aldeia; Fabrício Olivetti de França (CEC, 2018)

Combining Multiple Views from a Distance Based Feature Extraction for Text Classification. - Charles Henrique Porto Ferreira; Fabrício Olivetti de França; Debora Maria Rossi de Medeiros (CEC, 2018)

Analysis of the Twitter Interactions during the Impeachment of Brazilian President. - Fabrício Olivetti de França; Denise H. Goya; Claudio Luis de Camargo Penteado (HICSS, 2018)

DCDistance: A Supervised Text Document Feature extraction based on class labels. - Charles Henrique Porto Ferreira; Debora Maria Rossi de Medeiros; Fabrício Olivetti de França (CoRR, 2018)

A greedy search tree heuristic for symbolic regression. - Fabrício Olivetti de França (Inf. Sci., 2018)

User profiling of the Twitter Social Network during the impeachment of Brazilian President. - Fabrício Olivetti de França; Denise Hideko Goya; Claudio Luis de Camargo Penteado (Soc. Netw. Anal. Min., 2018)

EvoMan: Game-playing Competition. - Fabrício Olivetti de França; Denis G. Fantinato; Karine Miras; A. E. Eiben; Patrícia Amâncio Vargas (CoRR, 2019)

A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. - Guilherme Seidyo Imai Aldeia; Fabrício Olivetti de França (CEC, 2020)

Playing Mega Man II with Neuroevolution. - Fernando Ishikawa; Leandro Z. Trovões; Leonardo Carmo; Fabrício Olivetti de França; Denis G. Fantinato (SSCI, 2020)

Enhanced word embeddings using multi-semantic representation through lexical chains. - Terry Ruas; Charles Henrique Porto Ferreira; William I. Grosky; Fabrício Olivetti de França; Debora Maria Rossi de Medeiros (Inf. Sci., 2020)

Measuring feature importance of symbolic regression models using partial effects. - Guilherme Seidyo Imai Aldeia; Fabrício Olivetti de França (GECCO, 2021)

Simulated annealing for symbolic regression. - Daniel Kantor; Fernando J. Von Zuben; Fabrício Olivetti de França (GECCO, 2021)

Dynamics of Conflicts on the Twitter Social Network: a case study on the use of chloroquine in Brazil. - Fabrício Olivetti de França; Carlos da Silva dos Santos; Claudio Luis de Camargo Penteado; Denise H. Goya; Lucas Mazim de Souza; Carlos Kamienski; Daniel Vitor Beraldo di Genova; Diogo Fornaziero Segura Ramos (HICSS, 2021)

A Polarization Approach for Understanding Online Conflicts in Times of Pandemic: A Brazilian Case Study. - Carlos Alberto Kamienski; Lucas Mazim de Souza; Claudio Luis de Camargo Penteado; Denise H. Goya; Daniel Vitor Beraldo di Genova; Fabrício Olivetti de França; Diogo Fornaziero Segura Ramos; Flávio E. A. Horita (HICSS, 2021)

Contemporary Symbolic Regression Methods and their Relative Performance. - William G. La Cava; Patryk Orzechowski; Bogdan Burlacu; Fabrício Olivetti de França; Marco Virgolin; Ying Jin; Michael Kommenda; Jason H. Moore (NeurIPS Datasets and Benchmarks, 2021)

Using Shape Constraints for Improving Symbolic Regression Models. - Christian Haider; Fabrício Olivetti de França; Bogdan Burlacu; Gabriel Kronberger (CoRR, 2021)

Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. - Fabrício Olivetti de França; Guilherme Seidyo Imai Aldeia (Evol. Comput., 2021)

Interaction-transformation symbolic regression with extreme learning machine. - Fabrício Olivetti de França; Maira Zabuscha de Lima (Neurocomputing, 2021)

Enriching networks with edge insertion to improve community detection. - Eric Tadeu Camacho de Oliveira; Fabrício Olivetti de França (Soc. Netw. Anal. Min., 2021)

Interaction-transformation evolutionary algorithm with coefficients optimization. - Guilherme Seidyo Imai Aldeia; Fabrício Olivetti de França (GECCO Companion, 2022)

Transformation-interaction-rational representation for symbolic regression. - Fabrício Olivetti de França (GECCO, 2022)

Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression. - Christian Haider; Fabrício Olivetti de França; Gabriel Kronberger; Bogdan Burlacu (GECCO, 2022)

Comparison of OLS and NLS to fit Transformation-Interaction-Rational expressions. - Fabrício Olivetti de França (SYNASC, 2022)

Symbolic Regression with augmented dataset using RuleFit. - Fabrício Olivetti de França (SYNASC, 2022)

Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles. - Fabrício Olivetti de França; Gabriel Kronberger (CoRR, 2022)

Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge. - Gabriel Kronberger; Fabrício Olivetti de França; Bogdan Burlacu; Christian Haider; Michael Kommenda (Evol. Comput., 2022)

Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set. - Guilherme Seidyo Imai Aldeia; Fabrício Olivetti de França (Genet. Program. Evolvable Mach., 2022)

HOTGP - Higher-Order Typed Genetic Programming. - Matheus Campos Fernandes; Fabrício Olivetti de França; Emilio Francesquini (GECCO, 2023)

Fighting Underspecification in Symbolic Regression with Fitness Sharing. - Fabrício Olivetti de França (GECCO Companion, 2023)

Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. - Fabrício Olivetti de França; Gabriel Kronberger (GECCO, 2023)

Origami: (un)folding the Abstraction of Recursion Schemes for Program Synthesis. - Matheus Campos Fernandes; Fabrício Olivetti de França; Emilio Francesquini (GPTP, 2023)

Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation. - Christian Haider; Fabrício Olivetti de França; Bogdan Burlacu; Florian Bachinger; Gabriel Kronberger; Michael Affenzeller (GPTP, 2023)

Shape-constrained multi-objective genetic programming for symbolic regression. - Christian Haider; Fabrício Olivetti de França; Bogdan Burlacu; Gabriel Kronberger (Appl. Soft Comput., 2023)

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. - Fabrício Olivetti de França; Marco Virgolin; Michael Kommenda; Maimuna S. Majumder; Miles D. Cranmer; Guilherme Espada; Leon Ingelse; Alcides Fonseca; Mikel Landajuela; Brenden K. Petersen; Ruben Glatt; T. Nathan Mundhenk; et al. (CoRR, 2023)

Understanding conflict origin and dynamics on Twitter: A real-time detection system. - Fabrício Olivetti de França; Daniel Vitor Beraldo di Genova; Claudio Luis de Camargo Penteado; Carlos Alberto Kamienski (Expert Syst. Appl., 2023)

Measuring Network Polarization and Political Sectarianism During the 2020 Pandemic. - Carlos Kamienski; Claudio Luis de Camargo Penteado; Denise H. Goya; Rafaela V. Rocha; Lucas Mazim de Souza; Daniel Vitor Beraldo di Genova; Diogo Fornaziero Segura Ramos; Fabrício Olivetti de França; Flávio E. A. Horita; Carlos da Silva dos Santos (IEEE Trans. Comput. Soc. Syst., 2023)

Transformation-Interaction-Rational Representation for Symbolic Regression: A Detailed Analysis of SRBench Results. - Fabrício Olivetti de França (ACM Trans. Evol. Learn. Optim., 2023)

Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization. - Fabrício Olivetti de França (Genet. Program. Evolvable Mach., 2023)

Going Bananas! - Unfolding Program Synthesis with Origami. - Matheus Campos Fernandes; Fabrício Olivetti de França; Emilio Francesquini (BRACIS (2), 2024)

Automated Inference of Domain Knowledge in Scientific Machine Learning. - Florian Bachinger; Christian Haider; Jan Zenisek; Fabrício Olivetti de França; Michael Affenzeller (EUROCAST (1), 2024)

Comparing Constraint Evaluation Methods for Shape-Constrained Regression. - Christian Haider; Florian Bachinger; Florian Holzinger; Fabrício Olivetti de França (EUROCAST (1), 2024)

Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing. - Guilherme Seidyo Imai Aldeia; Fabrício Olivetti de França; William G. La Cava (GECCO, 2024)

Minimum variance threshold for epsilon-lexicase selection. - Guilherme Seidyo Imai Aldeia; Fabrício Olivetti de França; William G. La Cava (GECCO, 2024)

Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression. - Patrick E. Leser; Geoffrey F. Bomarito; Gabriel Kronberger; Fabrício Olivetti de França (GECCO Companion, 2024)

Multiview Symbolic Regression. - Etienne Russeil; Fabrício Olivetti de França; Konstantin L. Malanchev; Bogdan Burlacu; Emille E. O. Ishida; Marion Leroux; Clément Michelin; Guillaume Moinard; Emmanuel Gangler (GECCO, 2024)

The Inefficiency of Genetic Programming for Symbolic Regression. - Gabriel Kronberger; Fabrício Olivetti de França; Harry Desmond; Deaglan J. Bartlett; Lukas Kammerer (PPSN (1), 2024)

Multi-View Symbolic Regression. - Etienne Russeil; Fabrício Olivetti de França; Konstantin L. Malanchev; Bogdan Burlacu; Emille E. O. Ishida; Marion Leroux; Clément Michelin; Guillaume Moinard; Emmanuel Gangler (CoRR, 2024)

The Inefficiency of Genetic Programming for Symbolic Regression - Extended Version. - Gabriel Kronberger; Fabrício Olivetti de França; Harry Desmond; Deaglan J. Bartlett; Lukas Kammerer (CoRR, 2024)

rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models. - Fabrício Olivetti de França; Gabriel Kronberger (GECCO, 2025)

Improving Genetic Programming for Symbolic Regression with Equality Graphs. - Fabrício Olivetti de França; Gabriel Kronberger (GECCO, 2025)

Effects of reducing redundant parameters in parameter optimization for symbolic regression using genetic programming. - Gabriel Kronberger; Fabrício Olivetti de França (J. Symb. Comput., 2025)

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming. - Roman Kalkreuth; Fabrício Olivetti de França; Julian Dierkes; Marie Anastacio; Anja Jankovic 003; Zdenek Vasícek; Holger H. Hoos (CoRR, 2025)

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; Fabrício Olivetti de França (CoRR, 2025)

SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation. - Fabrício Olivetti de França; Marco Virgolin; Michael Kommenda; Maimuna S. Majumder; Miles D. Cranmer; Guilherme Espada; Leon Ingelse; Alcides Fonseca; Mikel Landajuela; Brenden K. Petersen; Ruben Glatt; T. Nathan Mundhenk; et al. (IEEE Trans. Evol. Comput., 2025)