ProfessorsProfessors of University of Massachusetts AmherstShruti Jadon

Shruti Jadon

University of Massachusetts Amherst

H-index: 12

North America-United States

About Shruti Jadon

Shruti Jadon, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Deep Learning, Medical Images, Auto-ML, Few-Shot Learning, Time Series Forecasting.

His recent articles reflect a diverse array of research interests and contributions to the field:

[Preprint] A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting

[Conference] Challenges and Approaches to Time-Series Forecasting for Traffic Prediction at Data Centers

[Conference] SSM-Net for Plants Disease Identification in LowData Regime

[Book] Hands-On One-shot Learning with Python

[Conference] Schema Matching using Machine Learning

Shruti Jadon Information

University	University of Massachusetts Amherst
Position	IEEE Member\| Juniper Networks \| Brown University (Rhode Island Hospital)\|
Citations(all)	1338
Citations(since 2020)	1332
Cited By	110
hIndex(all)	12
hIndex(since 2020)	12
i10Index(all)	12
i10Index(since 2020)	12
Email	Access Email
University Profile Page	University of Massachusetts Amherst
Google Scholar	View Google Scholar Profile

Shruti Jadon Skills & Research Interests

Deep Learning

Medical Images

Auto-ML

Few-Shot Learning

Time Series Forecasting

Top articles of Shruti Jadon

Title	Author(s)	Publication Date
[Preprint] A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting	Aryan Jadon Avinash Patil Shruti Jadon	2022/11/5
[Conference] Challenges and Approaches to Time-Series Forecasting for Traffic Prediction at Data Centers	Shruti Jadon Ajit Patankar Jan Kanty Milczek	2021/9/22
[Conference] SSM-Net for Plants Disease Identification in LowData Regime	Shruti Jadon	2020/5/27
[Book] Hands-On One-shot Learning with Python	Shruti Jadon Ankush Garg	2020/4
[Conference] Schema Matching using Machine Learning	Tanvi Sahay Ankita Mehta Shruti Jadon	2020/2/27