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2025 Conference Publication Interpreting machine learning pipelines produced by evolutionary AutoML for biochemical property predictionde Sá, Alex G. C., Pappa, Gisele L., Freitas, Alex A. and Ascher, David B. (2025). Interpreting machine learning pipelines produced by evolutionary AutoML for biochemical property prediction. 2025 Genetic and Evolutionary Computation Conference Companion-GECCO, Malaga, Spain, 14-18 July 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3712255.3734339 |
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2024 Conference Publication Towards evolutionary-based automated machine learning for small molecule pharmacokinetic predictionde Sá, Alex G. C. and Ascher, David B. (2024). Towards evolutionary-based automated machine learning for small molecule pharmacokinetic prediction. GECCO '24 Companion, Melbourne, VIC, Australia, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3638530.3664166 |
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2024 Conference Publication Accelerating GPCR discovery through AI and big dataLinhares Velloso, J. P., de Sa, A. G. C., Pires, D. E. V. and Ascher, D. B. (2024). Accelerating GPCR discovery through AI and big data. Mining biochemistry for human health and well‐being, 48th FEBS Congress, Milan, Italy, 29 June-3 July 2024. Oxford, United Kingdom: John Wiley & Sons. doi: 10.1002/2211-5463.13837 |
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2020 Conference Publication A robust experimental evaluation of automated multi-label classification methodsde Sá, Alex G. C., Pimenta, Cristiano G., Pappa, Gisele L. and Freitas, Alex A. (2020). A robust experimental evaluation of automated multi-label classification methods. Genetic and Evolutionary Computation Conference (GECCO), Electr Network, Jul 08-12, 2020. New York, NY, USA: ACM. doi: 10.1145/3377930.3390231 |
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2020 Conference Publication Fitness landscape analysis of automated machine learning search spacesPimenta, Cristiano G., de Sá, Alex G. C., Ochoa, Gabriela and Pappa, Gisele L. (2020). Fitness landscape analysis of automated machine learning search spaces. 20th European Conference, EvoCOP 2020, Seville, Spain, 17-17April 2020. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-030-43680-3_8 |
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2018 Conference Publication Automated selection and configuration of multi-label classification algorithms with grammar-based genetic programmingde Sá, Alex G. C., Freitas, Alex A. and Pappa, Gisele L. (2018). Automated selection and configuration of multi-label classification algorithms with grammar-based genetic programming. 15th International Conference, PPSN XV, Coimbra, Portugal, 8-12 September 2018. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-319-99259-4_25 |
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2017 Conference Publication Towards a method for automatically selecting and configuring multi-label classification algorithmsde Sá, Alex G. C., Pappa, Gisele L. and Freitas, Alex A. (2017). Towards a method for automatically selecting and configuring multi-label classification algorithms. Genetic and Evolutionary Computation Conference (GECCO), Berlin Germany, Jul 15-19, 2017. New York, NY, USA: ACM. doi: 10.1145/3067695.3082053 |
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2017 Conference Publication RECIPE: a grammar-based framework for automatically evolving classification pipelinesde Sá, Alex G. C., Oliveira, Luiz Otavio V. B., Pinto, Walter José G. S. and Pappa, Gisele L. (2017). RECIPE: a grammar-based framework for automatically evolving classification pipelines. 20th European Conference, EuroGP 2017, Amsterdam, Netherlands, 19-21 April 2027. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-319-55696-3_16 |
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2014 Conference Publication Generating personalized algorithms to learn Bayesian network classifiers for fraud detection in web transactionsSá, Alex G.C., Pereira, Adriano C.M. and Pappa, Gisele L. (2014). Generating personalized algorithms to learn Bayesian network classifiers for fraud detection in web transactions. 20th Brazilian Symposium on Multimedia and the Web, João Pessoa, Brazil, 18-21 November 2014. New York, NY USA: Association for Computing Machinery. doi: 10.1145/2664551.2664568 |
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2014 Conference Publication A hyper-heuristic evolutionary algorithm for learning Bayesian network classifiersde Sá, Alex G. C. and Pappa, Gisele L. (2014). A hyper-heuristic evolutionary algorithm for learning Bayesian network classifiers. 14th Ibero-American Conference on AI, Santiago de Chile, Chile, 24-27 November 2014. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-319-12027-0_35 |
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2013 Conference Publication Towards a method for automatically evolving bayesian network classifiersde Sá, Alex Guimarães Cardoso and Pappa, Gisele Lobo (2013). Towards a method for automatically evolving bayesian network classifiers. GECCO '13: Genetic and Evolutionary Computation Conference, Amsterdam, Netherlands, 6-10 July 2013. New York, NY USA: Association for Computing Machinery. doi: 10.1145/2464576.2482729 |
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2010 Conference Publication Enhanced Wireless Sensor Network setup strategy supported by intelligent software agentsde Freitas, Edison Pignaton, Heimfarth, Tales, Farah Netto, Ivayr, Cardoso de Sa, Alex Guimaraes, Pereira, Carlos Eduardo, Ferreira, Armando Morado, Wagner, Flavio Rech and Larsson, Tony (2010). Enhanced Wireless Sensor Network setup strategy supported by intelligent software agents. SENSORS, 2010 IEEE, Kona, HI United States, 2010. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icsens.2010.5690968 |
