Harvey F. Silverman is affiliated with Brown University in the United States. Their research spans multiple fields including Neuroscience, Health Professions, and Medicine. Within these domains, Silverman's work focuses on subfields such as Endocrine and Autonomic Systems, Pharmacy, and Pediatrics, Perinatology and Child Health.
The scientist's recent publication record includes work on neonatal health, particularly concerning the application of machine learning to newborn cry acoustics for assessing Neonatal Opioid Withdrawal Syndrome. This research was published in 2022 in JAMA Network Open and has accrued citations reflecting engagement within the academic community.
Frequent research collaborators include:
Silverman's publication venues predominantly feature JAMA Network Open as a platform for disseminating findings.
Their research addresses topics including:
Among honors received, Silverman was named an IEEE Fellow in 1997 for contributions to digital signal processing and its applications in speech recognition and microphone arrays.
Daniel I. Barnea;Harvey F. Silverman
Joseph H. DiBiase;Harvey F. Silverman;Michael S. Brandstein
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Michael S. Brandstein;Harvey F. Silverman
M.S. Brandstein;J.E. Adcock;H.F. Silverman
Hoang Do;H.F. Silverman;Ying Yu
R. Cole;L. Hirschman;L. Atlas;M. Beckman
H. Silverman
M.D. Gillette;H.F. Silverman
M. Wazlowski;L. Agarwal;T. Lee;A. Smith
Michael S. Brandstein;John E. Adcock;Harvey F. Silverman
Michael S. Brandstein;John E. Adcock;Harvey F. Silverman
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H.F. Silverman;D.P. Morgan
H.F. Silverman;Ying Yu;J.M. Sachar;W.R. Patterson
D.E. Sturim;M.S. Brandstein;H.F. Silverman
Harvey F. Silverman;Stuart E. Kirtman
M.F. Berger;H.F. Silverman
Hoang Do;Harvey F. Silverman
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 13
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