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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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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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2014 Conference Publication Generating Personalized Algorithms to Learn Bayesian Network Classifiers for Fraud Detection in Web TransactionsSá, Alex G.C., Pappa, Gisele L. and Pereira, Adriano C.M. (2014). Generating Personalized Algorithms to Learn Bayesian Network Classifiers for Fraud Detection in Web Transactions. New York, NY, USA: ACM. doi: 10.1145/2664551.2664568 |
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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. New York, NY, USA: ACM. 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. IEEE. doi: 10.1109/icsens.2010.5690968 |
