48 citations · 127 across the 5 of their papers we have counts for
10 papers
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting
Aryan Jadon, Avinash Patil, Shruti Jadon
Time Series Forecasting has been an active area of research due to its many applications ranging from network usage prediction, resource allocation, anomaly detection, and predicti…
SemSegLoss: A python package of loss functions for semantic segmentation
Shruti Jadon
Image Segmentation has been an active field of research as it has a wide range of applications, ranging from automated disease detection to self-driving cars. In recent years, vari…
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach
Shruti Jadon
In the current COVID-19 pandemic situation, there is an urgent need to screen infected patients quickly and accurately. Using deep learning models trained on chest X-ray images can…
Challenges and approaches to time-series forecasting in data center telemetry: A Survey
Shruti Jadon, Jan Kanty Milczek, Ajit Patankar
Time-series forecasting has been an important research domain for so many years. Its applications include ECG predictions, sales forecasting, weather conditions, even COVID-19 spre…
A survey of loss functions for semantic segmentation
Shruti Jadon
Image Segmentation has been an active field of research as it has a wide range of applications, ranging from automated disease detection to self-driving cars. In the past five year…
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial
Shruti Jadon, Owen P. Leary, Ian Pan +4
Automated segmentation of medical imaging is of broad interest to clinicians and machine learning researchers alike. The goal of segmentation is to increase efficiency and simplici…