| A customized classification algorithm for credit card fraud detection AGC de Sá, ACM Pereira, GL Pappa Engineering Applications of Artificial Intelligence 72, 21-29, 2018 | 157 | 2018 |
| RECIPE: a grammar-based framework for automatically evolving classification pipelines AGC de Sá, WJGS Pinto, LOVB Oliveira, GL Pappa Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017 | 156 | 2017 |
| Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction Y Myung, AGC de Sá, DB Ascher Nucleic acids research 52 (W1), W469-W475, 2024 | 64 | 2024 |
| Automated selection and configuration of multi-label classification algorithms with grammar-based genetic programming AGC de Sá, AA Freitas, GL Pappa International conference on parallel problem solving from nature, 308-320, 2018 | 47 | 2018 |
| pdCSM-cancer: using graph-based signatures to identify small molecules with anticancer properties R Al-Jarf, AGC de Sá, DEV Pires, DB Ascher Journal of Chemical Information and Modeling 61 (7), 3314-3322, 2021 | 45 | 2021 |
| Fitness landscape analysis of automated machine learning search spaces CG Pimenta, AGC de Sá, G Ochoa, GL Pappa Evolutionary Computation in Combinatorial Optimization: 20th European …, 2020 | 40 | 2020 |
| cardioToxCSM: A Web Server for Predicting Cardiotoxicity of Small Molecules S Iftkhar, AGC de Sá, JPL Velloso, R Aljarf, DEV Pires, DB Ascher Journal of Chemical Information and Modeling 62 (20), 4827-4836, 2022 | 36 | 2022 |
| Distinguishing between PTEN clinical phenotypes through mutation analysis S Portelli, L Barr, AGC de Sá, DEV Pires, DB Ascher Computational and Structural Biotechnology Journal 19, 3097-3109, 2021 | 28 | 2021 |
| Towards a method for automatically selecting and configuring multi-label classification algorithms AGC de Sá, GL Pappa, AA Freitas Proceedings of the genetic and evolutionary computation conference companion …, 2017 | 28 | 2017 |
| toxCSM: comprehensive prediction of small molecule toxicity profiles AGC de Sá, Y Long, S Portelli, DEV Pires, DB Ascher Briefings in Bioinformatics 23 (5), bbac337, 2022 | 26 | 2022 |
| mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity TB Nguyen, Y Myung, AGC de Sá, DEV Pires, DB Ascher NAR genomics and bioinformatics 3 (4), lqab109, 2021 | 16 | 2021 |
| A robust experimental evaluation of automated multi-label classification methods AGC de Sá, CG Pimenta, GL Pappa, AA Freitas GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation …, 2020 | 13 | 2020 |
| TSMDA: Target and symptom-based computational model for miRNA-disease-association prediction K Uthayopas, AGC de Sá, A Alavi, DEV Pires, DB Ascher Molecular Therapy-Nucleic Acids 26, 536-546, 2021 | 12 | 2021 |
| Towards a method for automatically evolving bayesian network classifiers AGC de Sá, GL Pappa Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 12 | 2013 |
| A hyper-heuristic evolutionary algorithm for learning bayesian network classifiers AGC de Sá, GL Pappa Advances in Artificial Intelligence--IBERAMIA 2014: 14th Ibero-American …, 2014 | 11 | 2014 |
| An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms MP Basgalupp, RC Barros, AGC de Sá, GL Pappa, RG Mantovani, ... Evolutionary Intelligence 14, 1895-1914, 2021 | 7 | 2021 |
| Multi-label classification search space in the MEKA software AGC de Sá, CG Pimenta, GL Pappa, AA Freitas arXiv preprint arXiv:1811.11353, 2018 | 6 | 2018 |
| Explainable machine learning for ICU readmission prediction AGC de Sá, D Gould, A Fedyukova, M Nicholas, L Dockrell, C Fletcher, ... arXiv preprint arXiv:2309.13781, 2023 | 4 | 2023 |
| Generating personalized algorithms to learn bayesian network classifiers for fraud detection in web transactions AGC Sá, GL Pappa, ACM Pereira Proceedings of the 20th Brazilian Symposium on Multimedia and the Web, 179-186, 2014 | 4 | 2014 |
| Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus CH Soh, AGC de Sá, E Potter, A Halabi, DB Ascher, TH Marwick Cardiovascular Diabetology 23 (1), 91, 2024 | 3 | 2024 |
