Juan M. Lavista Ferres
Juan M. Lavista Ferres
Chief Scientist and Lab Director, Microsoft AI for Good Research Lab
Verified email at
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Maternal smoking before and during pregnancy and the risk of sudden unexpected infant death
TM Anderson, JM Lavista Ferres, SY Ren, RY Moon, RD Goldstein, ...
Pediatrics 143 (4), 2019
Online Experimentation at Microsoft
R Kohavi, C Thomas, R Longbotham, F Brian, R Henne, ..., 2009
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network
J LeBien, M Zhong, M Campos-Cerqueira, JP Velev, R Dodhia, JL Ferres, ...
Ecological Informatics 59, 101113, 2020
Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo-labeling
M Zhong, J LeBien, M Campos-Cerqueira, R Dodhia, JL Ferres, JP Velev, ...
Applied Acoustics 166, 107375, 2020
System and methods for facilitating user-requested content services and related technologies
P Stolz, JML Ferres, WM Fawthrop, ANC Etchenique, DA Mislej
US Patent App. 12/538,749, 2010
Beluga whale acoustic signal classification using deep learning neural network models
M Zhong, M Castellote, R Dodhia, J Lavista Ferres, M Keogh, A Brewer
The Journal of the Acoustical Society of America 147 (3), 1834-1841, 2020
privGAN: Protecting GANs from membership inference attacks at low cost to utility.
S Mukherjee, Y Xu, A Trivedi, N Patowary, JL Ferres
Proc. Priv. Enhancing Technol. 2021 (3), 142-163, 2021
Interpretable and explainable machine learning for materials science and chemistry
F Oviedo, JL Ferres, T Buonassisi, KT Butler
Accounts of Materials Research 3 (6), 597-607, 2022
Comparing recurrent convolutional neural networks for large scale bird species classification
G Gupta, M Kshirsagar, M Zhong, S Gholami, JL Ferres
Scientific reports 11 (1), 17085, 2021
Distinct populations of sudden unexpected infant death based on age
JM Lavista Ferres, TM Anderson, R Johnston, JM Ramirez, EA Mitchell
Pediatrics 145 (1), 2020
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
JF Rajotte, S Mukherjee, C Robinson, A Ortiz, C West, JML Ferres, RT Ng
Proceedings of the Conference on Information Technology for Social Good, 79-84, 2021
Torchgeo: deep learning with geospatial data
AJ Stewart, C Robinson, IA Corley, A Ortiz, JML Ferres, A Banerjee
Proceedings of the 30th international conference on advances in geographic …, 2022
Acoustic detection of regionally rare bird species through deep convolutional neural networks
M Zhong, R Taylor, N Bates, D Christey, H Basnet, J Flippin, S Palkovitz, ...
Ecological Informatics 64, 101333, 2021
Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes
A Ortiz, A Trivedi, J Desbiens, M Blazes, C Robinson, S Gupta, R Dodhia, ...
Scientific reports 12 (1), 1716, 2022
Predicting the locations of cryptic pockets from single protein structures using the PocketMiner graph neural network
A Meller, MD Ward, JH Borowsky, JM Lotthammer, M Kshirsagar, ...
Biophysical Journal 122 (3), 445a, 2023
Detecting, classifying, and counting blue whale calls with Siamese neural networks
M Zhong, M Torterotot, TA Branch, KM Stafford, JY Royer, R Dodhia, ...
The Journal of the Acoustical Society of America 149 (5), 3086-3094, 2021
Precision mapping child undernutrition for nearly 600,000 inhabited census villages in India
R Kim, AS Bijral, Y Xu, X Zhang, JC Blossom, A Swaminathan, G King, ...
Proceedings of the National Academy of Sciences 118 (18), e2025865118, 2021
Nonstop: A nonstationary online prediction method for time series
C Xie, A Bijral, JL Ferres
IEEE Signal Processing Letters 25 (10), 1545-1549, 2018
Testing the ability of convolutional neural networks to learn radiomic features
IS Klyuzhin, Y Xu, A Ortiz, JL Ferres, G Hamarneh, A Rahmim
Computer Methods and Programs in Biomedicine 219, 106750, 2022
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