| Generation and evaluation of synthetic patient data A Goncalves, P Ray, B Soper, J Stevens, L Coyle, AP Sales BMC medical research methodology 20, 1-40, 2020 | 282 | 2020 |
| Overview of BTAS 2016 speaker anti-spoofing competition P Korshunov, S Marcel, H Muckenhirn, AR Gonçalves, AGS Mello, ... 2016 IEEE 8th international conference on biometrics theory, applications …, 2016 | 101 | 2016 |
| Multi-task sparse structure learning with gaussian copula models AR Gonçalves, FJ Von Zuben, A Banerjee Journal of Machine Learning Research 17 (33), 1-30, 2016 | 69 | 2016 |
| Multi-task Sparse Structure Learning AR Goncalves, P Das, ... 23rd ACM International Conference on Conference on Information and Knowledge …, 2014 | 50* | 2014 |
| Learning to correct climate projection biases B Pan, GJ Anderson, A Goncalves, DD Lucas, CJW Bonfils, J Lee, Y Tian, ... Journal of Advances in Modeling Earth Systems 13 (10), e2021MS002509, 2021 | 40 | 2021 |
| Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso X Liu, AR Goncalves, P Cao, D Zhao, A Banerjee, ... Computerized Medical Imaging and Graphics 66, 100-114, 2018 | 40 | 2018 |
| Modeling alzheimer’s disease progression with fused laplacian sparse group lasso X Liu, P Cao, AR Gonçalves, D Zhao, A Banerjee ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (6), 1-35, 2018 | 30 | 2018 |
| Improving seasonal forecast using probabilistic deep learning B Pan, GJ Anderson, A Goncalves, DD Lucas, CJW Bonfils, J Lee Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002766, 2022 | 25 | 2022 |
| On the use of convolutional neural networks for speech presentation attack detection P Korshunov, AR Goncalves, RPV Violato, FO Simões, S Marcel Identity, Security, and Behavior Analysis (ISBA), 2018 IEEE 4th …, 2018 | 20 | 2018 |
| Máquina de Vetores Suporte AR Gonçalves Acesso em 21, 2008 | 18* | 2008 |
| Spatial projection of multiple climate variables using hierarchical multitask learning A Goncalves, A Banerjee, F Von Zuben Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 15 | 2017 |
| On the generalization of fused systems in voice presentation attack detection AR Gonçalves, RPV Violato, P Korshunov, S Marcel, FO Simoes 2017 International conference of the biometrics special interest group …, 2017 | 14 | 2017 |
| Multi-label structure learning with ising model selection AR Gonçalves, FJ Von Zuben, A Banerjee Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 12 | 2015 |
| Online learning in estimation of distribution algorithms for dynamic environments AR Gonçalves, FJ Von Zuben Evolutionary Computation (CEC), 2011 IEEE Congress on, 62-69, 2011 | 11 | 2011 |
| Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning S Oliveira, AR Goncalves, F Von Zuben International Joint Conference on Artificial Intelligence IJCAI, 3202-3208, 2019 | 9 | 2019 |
| AbBERT: learning antibody humanness via masked language modeling D Vashchenko, S Nguyen, A Goncalves, FL da Silva, B Petersen, ... bioRxiv, 2022.08. 02.502236, 2022 | 8 | 2022 |
| Bayesian multitask learning regression for heterogeneous patient cohorts AR Goncalves, P Ray, B Soper, D Widemann, M Nygård, JF Nygård, ... Journal of Biomedical Informatics: X 4, 100059, 2019 | 8 | 2019 |
| A multitask learning view on the earth system model ensemble AR Gonçalves, FJ Von Zuben, A Banerjee Computing in Science & Engineering 17 (6), 35-42, 2015 | 7 | 2015 |
| Otimização em ambientes dinâmicos com variáveis contínuas empregando algoritmos de estimação de distribuição AR Gonçalves Universidade Estadual de Campinas, 2011 | 7 | 2011 |
| Asymmetric multi-task learning with local transference SHG Oliveira, AR Goncalves, FJ Von Zuben ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (5), 1-30, 2022 | 6 | 2022 |
Fernando J. Von ZubenDCA/FEEC/Unicamp在 dca.fee.unicamp.br 的电子邮件经过验证
