‪Venkata Suhas Maringanti‬ - ‪Google Scholar‬

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Co-authors

Vanni BucciAssociate Professor, Microbiology and Physiological Systems, UMass Medical SchoolVerified email at umassmed.edu
Georg GerberAssistant Professor of Pathology, Harvard Medical SchoolVerified email at bwh.harvard.edu
Basileal ImanaPostdoctoral Research Associate, Center for Information Technology Policy, Princeton UniversityVerified email at princeton.edu
Ming ShaoUMass Dartmouth (Associate Professor)Verified email at umassd.edu

Venkata Suhas Maringanti

Venkata Suhas Maringanti

University of Massachusetts Dartmouth

Verified email at umassd.edu - Homepage

Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gastrointestinal microbiota composition predicts peripheral inflammatory state during treatment of human tuberculosis MF Wipperman, SK Bhattarai, CK Vorkas, VS Maringati, Y Taur, ... Nature communications 12 (1), 1141, 2021	34	2021
MDITRE: scalable and interpretable machine learning for predicting host status from temporal microbiome dynamics VS Maringanti, V Bucci, GK Gerber Msystems 7 (5), e00132-22, 2022	3	2022
GPU-Accelerated VLSI Routing using Group Steiner Trees VS Maringanti, B Imana, P Yoon	2*
Scalable learning of interpretable rules for the dynamic microbiome domain VS Maringanti, V Bucci, GK Gerber bioRxiv, 2020		2020
Divide-and-Conquer Kronecker Product Decomposition for Memory-Efficient Graph Approximation VS Maringanti, M Shao 2018 IEEE International Conference on Big Data (Big Data), 3766-3773, 2018		2018

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