Theo dõi
Alex G. C. de Sá
Alex G. C. de Sá
Baker Heart and Diabetes Institute; University of Queensland; University of Melbourne
Email được xác minh tại baker.edu.au - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
1542017
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
1522018
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
472018
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
402021
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
382024
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
372020
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
292022
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
282017
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
242021
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
232022
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
142021
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
122021
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
122020
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
122013
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
112014
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
62021
Multi-label classification search space in the MEKA software
AGC de Sá, CG Pimenta, GL Pappa, AA Freitas
arXiv preprint arXiv:1811.11353, 2018
62018
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
42023
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
42014
Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with Cartesian coordinates input for gesture-based interaction
RW de Bettio, AHC Silva, T Heimfarth, AP Freire, AGC de Sá
32013
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