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pro vyhledávání: '"Venugopal Govindaraju"'
Autor:
Rahul Nair, Deen Dayal Mohan, Sandra Frank, Srirangaraj Setlur, Venugopal Govindaraju, Murali Ramanathan
Publikováno v:
British Journal of Clinical Pharmacology. 89:1588-1600
Modeling biomarker profiles for under-represented race/ethnicity groups are challenging because the underlying studies frequently do not have sufficient participants from these groups. The aim was to investigate generative adversarial networks (GANs)
Autor:
Rahul, Nair, Deen Dayal, Mohan, Srirangaraj, Setlur, Venugopal, Govindaraju, Murali, Ramanathan
Publikováno v:
Journal of Pharmacokinetics and Pharmacodynamics.
Dosing requires consideration of diverse patient-specific factors affecting drug pharmacokinetics and pharmacodynamics. The available pharmacometric methods have limited capacity for modeling the inter-relationships and patterns of variability among
Generative Adversarial Networks for Modeling Clinical Biomarker Profiles in Under-Represented Groups
Autor:
Rahul Nair, Deen Mohan, Sandra Frank, Srirangaraj Setlur, Venugopal Govindaraju, Murali Ramanathan
Background: Clinical trial simulations and pharmacometric modeling of biomarker profiles for under-represented groups are challenging because the underlying studies frequently do not have sufficient participants from these groups. Objectives: To inve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::057d6cf2d55a3b8590df8704565945f8
https://doi.org/10.22541/au.165332169.99486848/v1
https://doi.org/10.22541/au.165332169.99486848/v1
Autor:
Nishant Sankaran, Deen Dayal Mohan, Sergey Tulyakov, Srirangaraj Setlur, Venugopal Govindaraju
Publikováno v:
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).
Autor:
Dennis Fedorishin, Srirangaraj Setlur, Venugopal Govindaraju, Nishant Sankaran, Deen Dayal Mohan
Publikováno v:
FG
Learning robust representations for applications with multiple modalities of input can have a significant impact on its performance. Traditional representation learning methods rely on projecting the input modalities to a common subspace to maximize
Publikováno v:
International Journal on Document Analysis and Recognition. 4:154-169
This paper describes the issues involved in the design of a system for evaluating improvements in the performance of a real-time address recognition system being used by the United States Postal Service for processing mail-piece images. Evaluation of
Publikováno v:
IJCB
Publikováno v:
Pattern Recognition Letters. 15:901-905
This paper describes a framework for generating variant samples of a handwritten cursive string based on Hollerbach's Oscillation Theory of Handwriting. A single cursive word is analyzed. Significant features of the word are extracted from the veloci
Publikováno v:
Machine Vision and Applications. 2:141-153
The analysis of images of printed pages of text is considered. Since printed text can be viewed as textured line, the use of the Hough transform for detecting straight lines is proposed as an analysis tool. Methods for handling several discretization
Conference
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