Andre R Goncalves

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Fernando J. Von ZubenDCA/FEEC/UnicampVerified email at dca.fee.unicamp.br
Braden C. SoperData Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Priyadip RayLawrence Livermore National LaboratoryVerified email at llnl.gov
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Gemma J. AndersonLawrence Livermore National LaboratoryVerified email at llnl.gov
celine bonfilsLawrence Livermore National LaboratoryVerified email at llnl.gov
Jiwoo LeeStaff Scientist of Lawrence Livermore National LaboratoryVerified email at llnl.gov
Baoxiang PanLawrence Livermore National LaboratoryVerified email at llnl.gov
Sébastien MarcelSenior researcher ( Idiap research institute ) and Professor ( University of Lausanne )Verified email at idiap.ch
Pavel KorshunovIdiap Research InstituteVerified email at idiap.ch
Flavio Olmos SimoesResearcher, CPqDVerified email at cpqd.com.br
Brenden K. PetersenLawrence Livermore National LaboratoryVerified email at llnl.gov
Felipe Leno da Silva (Leno)Lawrence Livermore National LabVerified email at llnl.gov
Mário Uliani NetoResearcher, CPQDVerified email at cpqd.com.br
Soumyadeep ChatterjeeUberVerified email at quora.com
Rosana VeronezePostdoc at Université catholique de LouvainVerified email at uclouvain.be
Hani Camille YehiaUniversidade Federal de Minas GeraisVerified email at cpdee.ufmg.br
Romis Ribeiro de Faissol AttuxProfessor - DCA/FEEC/UNICAMPVerified email at dca.fee.unicamp.br
Carlos R. B. AzevedoPh.D. in Computer Engineering. Director, Data Science at Bain & CompanyVerified email at bain.com
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Andre R Goncalves

Lawrence Livermore National Laboratory

Verified email at llnl.gov - Homepage

Machine Learning Deep Learning Optimization Multitask Learning Sparse Models


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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	345	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	103	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	74	2016
Multi-task Sparse Structure Learning AR Goncalves, P Das, ... 23rd ACM International Conference on Conference on Information and Knowledge …, 2014	51*	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	46	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	41	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	37	2022
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	32	2018
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	21	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	13	2015
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	11	2022
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	10	2019
Computationally restoring the potency of a clinical antibody against Omicron TA Desautels, KT Arrildt, AT Zemla, EY Lau, F Zhu, D Ricci, S Cronin, ... Nature, 1-8, 2024	9	2024
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

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