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Fabrício Olivetti de França
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2020 – today
- 2024
- [c53]Guilherme Seidyo Imai Aldeia
, Fabrício Olivetti de França
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing. GECCO 2024 - [c52]Guilherme Seidyo Imai Aldeia
Minimum variance threshold for epsilon-lexicase selection. GECCO 2024 - [c51]Patrick E. Leser
Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression. GECCO Companion 2024: 2058-2066 - [c50]Etienne Russeil
Multiview Symbolic Regression. GECCO 2024 - [c49]Gabriel Kronberger
The Inefficiency of Genetic Programming for Symbolic Regression. PPSN (1) 2024: 273-289 - [i26]Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev
Multi-View Symbolic Regression. CoRR abs/2402.04298 (2024) - [i25]Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini:
Origami: (un)folding the abstraction of recursion schemes for program synthesis. CoRR abs/2402.13828 (2024) - [i24]Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França, William G. La Cava:
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing. CoRR abs/2404.05898 (2024) - [i23]Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França:
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set. CoRR abs/2404.05908 (2024) - [i22]Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França, William G. La Cava:
Minimum variance threshold for epsilon-lexicase selection. CoRR abs/2404.05909 (2024) - [i21]Gabriel Kronberger, Fabrício Olivetti de França, Harry Desmond, Deaglan J. Bartlett
The Inefficiency of Genetic Programming for Symbolic Regression - Extended Version. CoRR abs/2404.17292 (2024) - [i20]Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini:
Going Bananas! - Unfolding Program Synthesis with Origami. CoRR abs/2406.01500 (2024) - 2023
- [j22]Christian Haider
Shape-constrained multi-objective genetic programming for symbolic regression. Appl. Soft Comput. 132: 109855 (2023) - [j21]Fabrício Olivetti de França
Understanding conflict origin and dynamics on Twitter: A real-time detection system. Expert Syst. Appl. 212: 118748 (2023) - [j20]Fabrício Olivetti de França:
Alleviating overfitting in transformation-interaction-rational symbolic regression with multi-objective optimization. Genet. Program. Evolvable Mach. 24(2): 13 (2023) - [j19]Carlos Kamienski
Measuring Network Polarization and Political Sectarianism During the 2020 Pandemic. IEEE Trans. Comput. Soc. Syst. 10(3): 1356-1371 (2023) - [j18]Fabrício Olivetti de França
Transformation-Interaction-Rational Representation for Symbolic Regression: A Detailed Analysis of SRBench Results. ACM Trans. Evol. Learn. Optim. 3(2): 7:1-7:19 (2023) - [c48]Fabrício Olivetti de França
Fighting Underspecification in Symbolic Regression with Fitness Sharing. GECCO Companion 2023: 551-554 - [c47]Fabrício Olivetti de França
Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. GECCO 2023: 1064-1072 - [c46]Matheus Campos Fernandes
HOTGP - Higher-Order Typed Genetic Programming. GECCO 2023: 1091-1099 - [c45]Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Florian Bachinger, Gabriel Kronberger, Michael Affenzeller:
Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation. GPTP 2023: 225-240 - [c44]Matheus Campos Fernandes
Origami: (un)folding the Abstraction of Recursion Schemes for Program Synthesis. GPTP 2023: 263-281 - [i19]Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. CoRR abs/2304.01117 (2023) - [i18]Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini:
HOTGP - Higher-Order Typed Genetic Programming. CoRR abs/2304.03200 (2023) - 2022
- [j17]Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda:
Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge. Evol. Comput. 30(1): 75-98 (2022) - [j16]Guilherme Seidyo Imai Aldeia
Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set. Genet. Program. Evolvable Mach. 23(3): 309-349 (2022) - [c43]Fabrício Olivetti de França:
Transformation-interaction-rational representation for symbolic regression. GECCO 2022: 920-928 - [c42]Christian Haider, Fabrício Olivetti de França, Gabriel Kronberger, Bogdan Burlacu:
Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression. GECCO 2022: 938-945 - [c41]Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França:
Interaction-transformation evolutionary algorithm with coefficients optimization. GECCO Companion 2022: 2274-2281 - [c40]Fabrício Olivetti de França:
Comparison of OLS and NLS to fit Transformation-Interaction-Rational expressions. SYNASC 2022: 319-322 - [c39]Fabrício Olivetti de França:
Symbolic Regression with augmented dataset using RuleFit. SYNASC 2022: 323-326 - [i17]Fabrício Olivetti de França:
Transformation-Interaction-Rational Representation for Symbolic Regression. CoRR abs/2205.06807 (2022) - [i16]Fabrício Olivetti de França, Gabriel Kronberger:
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles. CoRR abs/2209.06454 (2022) - 2021
- [j15]Fabrício Olivetti de França, Guilherme Seidyo Imai Aldeia
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. Evol. Comput. 29(3): 367-390 (2021) - [j14]Fabrício Olivetti de França, Maira Zabuscha de Lima:
Interaction-transformation symbolic regression with extreme learning machine. Neurocomputing 423: 609-619 (2021) - [j13]Eric Tadeu Camacho de Oliveira
Enriching networks with edge insertion to improve community detection. Soc. Netw. Anal. Min. 11(1): 89 (2021) - [c38]Daniel Kantor, Fernando J. Von Zuben, Fabrício Olivetti de França:
Simulated annealing for symbolic regression. GECCO 2021: 592-599 - [c37]Guilherme Seidyo Imai Aldeia
Measuring feature importance of symbolic regression models using partial effects. GECCO 2021: 750-758 - [c36]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:
Dynamics of Conflicts on the Twitter Social Network: a case study on the use of chloroquine in Brazil. HICSS 2021: 1-10 - [c35]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:
A Polarization Approach for Understanding Online Conflicts in Times of Pandemic: A Brazilian Case Study. HICSS 2021: 1-10 - [c34]William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore:
Contemporary Symbolic Regression Methods and their Relative Performance. NeurIPS Datasets and Benchmarks 2021 - [i15]Terry Ruas, Charles Henrique Porto Ferreira, William I. Grosky, Fabrício Olivetti de França, Debora Maria Rossi de Medeiros:
Enhanced word embeddings using multi-semantic representation through lexical chains. CoRR abs/2101.09023 (2021) - [i14]Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda:
Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge. CoRR abs/2103.15624 (2021) - [i13]Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Gabriel Kronberger:
Using Shape Constraints for Improving Symbolic Regression Models. CoRR abs/2107.09458 (2021) - [i12]William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore:
Contemporary Symbolic Regression Methods and their Relative Performance. CoRR abs/2107.14351 (2021) - 2020
- [j12]Terry Ruas
Enhanced word embeddings using multi-semantic representation through lexical chains. Inf. Sci. 532: 16-32 (2020) - [c33]Guilherme Seidyo Imai Aldeia
A Parametric Study of Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. CEC 2020: 1-8 - [c32]Fernando Ishikawa, Leandro Z. Trovões, Leonardo Carmo, Fabrício Olivetti de França, Denis G. Fantinato:
Playing Mega Man II with Neuroevolution. SSCI 2020: 2359-2364
2010 – 2019
- 2019
- [i11]Fabrício Olivetti de França, Guilherme Seidyo Imai Aldeia:
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. CoRR abs/1902.03983 (2019) - [i10]Fabrício Olivetti de França, Denis G. Fantinato, Karine Miras, A. E. Eiben, Patrícia Amâncio Vargas
EvoMan: Game-playing Competition. CoRR abs/1912.10445 (2019) - 2018
- [j11]Fabrício Olivetti de França:
A greedy search tree heuristic for symbolic regression. Inf. Sci. 442-443: 18-32 (2018) - [j10]Fabrício Olivetti de França, Denise Hideko Goya, Claudio Luis de Camargo Penteado
User profiling of the Twitter Social Network during the impeachment of Brazilian President. Soc. Netw. Anal. Min. 8(1): 5 (2018) - [c31]Guilherme Seidyo Imai Aldeia
Lightweight Symbolic Regression with the Interaction - Transformation Representation. CEC 2018: 1-8 - [c30]Charles Henrique Porto Ferreira, Fabrício Olivetti de França, Debora Maria Rossi de Medeiros:
Combining Multiple Views from a Distance Based Feature Extraction for Text Classification. CEC 2018: 1-8 - [c29]Fabrício Olivetti de França, Denise H. Goya, Claudio Luis de Camargo Penteado:
Analysis of the Twitter Interactions during the Impeachment of Brazilian President. HICSS 2018: 1-8 - [i9]Fabrício Olivetti de França:
A Greedy Search Tree Heuristic for Symbolic Regression. CoRR abs/1801.01807 (2018) - [i8]Charles Henrique Porto Ferreira, Debora Maria Rossi de Medeiros, Fabrício Olivetti de França:
DCDistance: A Supervised Text Document Feature extraction based on class labels. CoRR abs/1801.04554 (2018) - 2016
- [j9]Fabrício Olivetti de França
A hash-based co-clustering algorithm for categorical data. Expert Syst. Appl. 64: 24-35 (2016) - [j8]Cassia de Souza Carvalho, Fabrício Olivetti de França, Denise Hideko Goya, Claudio Luis de Camargo Penteado
Brazilians Divided: Political Protests as Told by Twitter. Trans. Large Scale Data Knowl. Centered Syst. 27: 1-18 (2016) - [c28]Karine da Silva Miras de Araújo, Fabrício Olivetti de França:
Evolving a generalized strategy for an action-platformer video game framework. CEC 2016: 1303-1310 - [c27]Cassia de Souza Carvalho, Fabrício Olivetti de França, Denise Hideko Goya, Claudio Luis de Camargo Penteado
The People Have Spoken: Conflicting Brazilian Protests on Twitter. HICSS 2016: 1986-1995 - [c26]Eric Tadeu Camacho de Oliveira, Fabrício Olivetti de França, Denise Hideko Goya, Claudio Luis de Camargo Penteado
The Influence of Retweeting Robots During Brazilian Protests. HICSS 2016: 2068-2076 - [i7]André L. V. Coelho, Fabrício Olivetti de França:
Enhanced perceptrons using contrastive biclusters. CoRR abs/1603.06859 (2016) - [i6]Karine da Silva Miras de Araújo, Fabrício Olivetti de França:
An electronic-game framework for evaluating coevolutionary algorithms. CoRR abs/1604.00644 (2016) - 2015
- [j7]Fabrício Olivetti de França, André L. V. Coelho
A biclustering approach for classification with mislabeled data. Expert Syst. Appl. 42(12): 5065-5075 (2015) - [c25]Fabrício Olivetti de França:
Maximization of a dissimilarity measure for multimodal optimization. CEC 2015: 2002-2009 - [c24]Fabrício Olivetti de França, Guilherme Palermo Coelho
A Flexible Fitness Function for Community Detection in Complex Networks. CompleNet 2015: 1-12 - [c23]Alexandre Szabo, Fabrício Olivetti de França:
The proposal of dynamic thresholds in an immune algorithm for fuzzy clustering. FUZZ-IEEE 2015: 1-8 - [i5]Fabrício Olivetti de França, Denise H. Goya, Claudio Luis de Camargo Penteado:
The message does not matter: the influence of the network on information diffusion. CoRR abs/1508.05617 (2015) - 2014
- [i4]Fabrício Olivetti de França:
Iterative Universal Hash Function Generator for Minhashing. CoRR abs/1401.6124 (2014) - [i3]Fabrício Olivetti de França:
Maximizing Diversity for Multimodal Optimization. CoRR abs/1406.2539 (2014) - [i2]Fabrício Olivetti de França, Guilherme Palermo Coelho:
A Flexible Fitness Function for Community Detection in Complex Networks. CoRR abs/1406.2545 (2014) - [i1]Fabrício Olivetti de França:
A Hash-based Co-Clustering Algorithm for Categorical Data. CoRR abs/1407.7753 (2014) - 2013
- [j6]Fabrício Olivetti de França, Guilherme Palermo Coelho
Predicting missing values with biclustering: A coherence-based approach. Pattern Recognit. 46(5): 1255-1266 (2013) - [c22]Fabrício Olivetti de França, Guilherme Palermo Coelho
Identifying overlapping communities in complex networks with multimodal optimization. IEEE Congress on Evolutionary Computation 2013: 269-276 - [c21]Ronaldo C. Prati
Extending features for multilabel classification with swarm biclustering. IEEE Congress on Evolutionary Computation 2013: 2964-2971 - [c20]Priscila C. Berbert Rampazzo, Akebo Yamakami
Operation Planning of Hydroelectric Systems: Application of Genetic Algorithms and Differential Evolution. ICMLA (2) 2013: 232-237 - 2012
- [j5]Luiz Antonio Carraro, Leandro Nunes de Castro
A Fuzzy Inference System to Determine the Number of Clones in a Class of Artificial Immune Systems. Int. J. Comput. Intell. Appl. 11(1) (2012) - [c19]Fabrício Olivetti de França:
Scalable Overlapping Co-clustering of Word-Document Data. ICMLA (1) 2012: 464-467 - 2011
- [c18]Rosana Veroneze
Assessing the performance of a swarm-based biclustering technique for data imputation. IEEE Congress on Evolutionary Computation 2011: 386-393 - [c17]Fabrício Olivetti de França
Extracting additive and multiplicative coherent biclusters with swarm intelligence. IEEE Congress on Evolutionary Computation 2011: 632-638 - [c16]Guilherme Palermo Coelho
A Concentration-based Artificial Immune Network for combinatorial optimization. IEEE Congress on Evolutionary Computation 2011: 1242-1249 - 2010
- [b1]Fabrício Olivetti de França:
Biclustering on uncertain data analysis. University of Campinas, Brazil, 2010 - [j4]Fabrício Olivetti de França, Guilherme Palermo Coelho
Conceptual and Practical Aspects of the aiNet Family of Algorithms. Int. J. Nat. Comput. Res. 1(1): 1-35 (2010) - [j3]Pablo Alberto Dalbem de Castro
Query expansion using an immune-inspired biclustering algorithm. Nat. Comput. 9(3): 579-602 (2010) - [c15]Fabrício Olivetti de França
On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c14]Fabrício Olivetti de França
Finding a high coverage set of 5-biclusters with swarm intelligence. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [j2]Guilherme Palermo Coelho
Multi-Objective Biclustering: When Non-dominated Solutions are not Enough. J. Math. Model. Algorithms 8(2): 175-202 (2009) - [c13]Fabrício Olivetti de França
A dynamic artificial immune algorithm applied to challenging benchmarking problems. IEEE Congress on Evolutionary Computation 2009: 423-430 - [c12]Guilherme Palermo Coelho
Improving a multi-objective multipopulation artificial immune network for biclustering. IEEE Congress on Evolutionary Computation 2009: 2748-2755 - 2008
- [c11]Fabrício Olivetti de França, Guilherme Palermo Coelho
bicACO: An Ant Colony Inspired Biclustering Algorithm. ANTS Conference 2008: 401-402 - [c10]Fabrício Olivetti de França
Multivariate ant colony optimization in continuous search spaces. GECCO 2008: 9-16 - [c9]Guilherme Palermo Coelho
A Multi-Objective Multipopulation Approach for Biclustering. ICARIS 2008: 71-82 - 2007
- [c8]Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França
Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. HIS 2007: 65-70 - [c7]Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben:
Applying Biclustering to Text Mining: An Immune-Inspired Approach. ICARIS 2007: 83-94 - [c6]Pablo A. D. de Castro, Fabrício Olivetti de França
Applying Biclustering to Perform Collaborative Filtering. ISDA 2007: 421-426 - 2006
- [c5]Fabrício Olivetti de França, George Barreto Bezerra, Fernando J. Von Zuben:
New Perspectives for the Biclustering Problem. IEEE Congress on Evolutionary Computation 2006: 753-760 - [c4]Fabrício Olivetti de França, Lalinka de C. T. Gomes, Leandro Nunes de Castro, Fernando J. Von Zuben:
Handling Time-Varying TSP Instances. IEEE Congress on Evolutionary Computation 2006: 2830-2837 - [c3]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:
Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels. IEEE Congress on Evolutionary Computation 2006: 2896-2903 - 2005
- [j1]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions. Informatica (Slovenia) 29(2): 163-172 (2005) - [c2]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
An artificial immune network for multimodal function optimization on dynamic environments. GECCO 2005: 289-296 - 2004
- [c1]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. ICONIP 2004: 1094-1100
Coauthor Index
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