938 citations · 1.2k across the 12 of their papers we have counts for
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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…
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…
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions
Shruti Jadon, Aditya Acrot Srinivasan
The lack of a large amount of training data has always been the constraining factor in solving a lot of problems in machine learning, making One Shot Learning one of the most intri…