Overview
Availability
- Dr Alex de Sa is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Computer Science, Universidade Federal de Minas Gerais (UFMG)
Research interests
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Automated Machine Learning (AutoML) for Biological, Chemical and Medical Problems
-
Design of Search and Optimisation Methods
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Applied Machine Learning to Bio(chem)informatics and Health Informatics
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Interpretation of AutoML methods
Works
Search Professor Alex de Sa’s works on UQ eSpace
2020
Conference Publication
A robust experimental evaluation of automated multi-label classification methods
de 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
2020
Conference Publication
Fitness landscape analysis of automated machine learning search spaces
Pimenta, 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
2018
Conference Publication
Automated selection and configuration of multi-label classification algorithms with grammar-based genetic programming
de 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
2018
Journal Article
A customized classification algorithm for credit card fraud detection
de Sá, Alex G.C., Pereira, Adriano C.M. and Pappa, Gisele L. (2018). A customized classification algorithm for credit card fraud detection. Engineering Applications of Artificial Intelligence, 72, 21-29. doi: 10.1016/j.engappai.2018.03.011
2017
Conference Publication
Towards a method for automatically selecting and configuring multi-label classification algorithms
de 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
2017
Conference Publication
RECIPE: a grammar-based framework for automatically evolving classification pipelines
de 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
2014
Conference Publication
Generating personalized algorithms to learn Bayesian network classifiers for fraud detection in web transactions
Sá, 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
2014
Conference Publication
A hyper-heuristic evolutionary algorithm for learning Bayesian network classifiers
de 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
2013
Conference Publication
Towards a method for automatically evolving bayesian network classifiers
de 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
2012
Journal Article
An algorithm to coordinate missions in wireless sensor networks
Guimaraes Cardoso de Sa, Alex, Heimfarth, Tales, Enes de Oliveira, Hewerton and Pignaton de Freitas, Edison (2012). An algorithm to coordinate missions in wireless sensor networks. IEEE Latin America Transactions, 10 (2), 1595-1602. doi: 10.1109/tla.2012.6187604
2010
Conference Publication
Enhanced Wireless Sensor Network setup strategy supported by intelligent software agents
de 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
Supervision
Availability
- Dr Alex de Sa is:
- Available for supervision
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Media
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