Publications

Samantha Biegel, Rafah El-Khatib, Luiz Otavio V. B. Oliveira, Max Baak, Nanne Aben (2021). Active WeaSuL: Improving Weak Supervision with Active Learning. ICLR 2021 Workshop on Weakly Supervised Learning.

Luis Fernando Miranda, Luiz Otavio V. B. Oliveira, Joao Francisco B. S. Martins, Gisele L. Pappa (2020). Instance Selection for Geometric Semantic Genetic Programming. 2020 IEEE Congress on Evolutionary Computation (CEC).

Joao Francisco B. S. Martins, Luiz Otavio V. B. Oliveira, Luis F. Miranda, Felipe Casadei, Gisele L. Pappa (2018). Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming. Proceedings of Genetic and Evolutionary Computation Conference, 2018 (GECCO'18).

Luiz Otavio V. B. Oliveira, Joao Francisco B. S. Martins, Luis F. Miranda, Gisele L. Pappa (2018). Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach. Proceedings of Genetic and Evolutionary Computation Conference Companion, 2018 (GECCO'18 Companion).

Luiz Otavio V. B. Oliveira, Felipe Casadei, Gisele L. Pappa (2017). Strategies for Improving the Distribution of Random Function Outputs in GSGP. Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings.

Alex G. C. de Sá, Walter José G. S. Pinto, Luiz Otavio V. B. Oliveira, Gisele L. Pappa (2017). RECIPE: A Grammar-Based Framework for Automatically Evolving Classification Pipelines. Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings.

Luis F. Miranda, Luiz Otavio V. B. Oliveira, Joao F. B. S. Martins, Gisele L. Pappa (2017). How Noisy Data Affects Geometric Semantic Genetic Programming. Proceedings of the Genetic and Evolutionary Computation Conference.

Luiz Otavio V. B. Oliveira, Fernando E. B. Otero, Gisele L. Pappa (2017). A Generic Framework for Building Dispersion Operators in the Semantic Space. Genetic Programming Theory and Practice XIV.

L. O. V. B. Oliveira (2016). Improving Search in Geometric Semantic Genetic Programming.

Luiz Otavio V. B. Oliveira, Fernando E. B. Otero, Luis F. Miranda, Gisele L. Pappa (2016). Revisiting the Sequential Symbolic Regression Genetic Programming. Proc. of the 5th Brazilian Conference on Intelligent System (BRACIS).

Luiz Otavio V. B. Oliveira, Luis F. Miranda, Gisele L. Pappa, Fernando E. B. Otero, Ricardo H. C. Takahashi (2016). Reducing Dimensionality to Improve Search in Semantic Genetic Programming. Proc. of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV).

Luiz Otavio V. B. Oliveira, Fernando E. B. Otero, Gisele L. Pappa (2016). A Dispersion Operator for Geometric Semantic Genetic Programming. Proc. of the Genetic and Evolutionary Computation Conference 2016.

Julio Albinati, Gisele L. Pappa, Fernando E. B. Otero, Luiz Otavio V. B. Oliveira (2015). The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems. 18th European Conference, EuroGP 2015.

Luiz Otavio V. B. Oliveira, Fernando E. B. Otero, Gisele L. Pappa, Julio Albinati (2015). Sequential Symbolic Regression with Genetic Programming. Genetic Programming Theory and Practice XII.

Luiz Otavio V. B. Oliveira, Isabela Neves Drummond, Gisele Lobo Pappa (2013). A new representation for instance-based clonal selection algorithms. Evolutionary Computation (CEC), 2013 IEEE Congress on.

Luiz Otavio V. B. Oliveira (2012). CSCDR: Um Classificador Baseado em Seleção Clonal com Redução de Células de Memória..

Luiz Otavio V. B. Oliveira, Rodrigo Luiz Mendes Mota, Dante Augusto Couto Barone (2012). Clonal selection classifier with data reduction: Classification as an optimization task. Evolutionary Computation (CEC), 2012 IEEE Congress on.

Luiz Otavio V. B. Oliveira, Isabela Neves Drummond (2011). Real-Valued Negative Selection (RNS) for MR Brain Image Classification. Proceedings of the IASTED International Conference Computer Graphics and Imaging (CGIM).

Luiz Otavio V. B. Oliveira, Isabela Neves Drummond (2010). Real-Valued Negative Selection (RNS) for Classification Task. Recognizing Patterns in Signals, Speech, Images and Videos: ICPR 2010 Contests.