938 citations · 1.2k across the 12 of their papers we have counts for
12 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…
An Overview of Deep Learning Architectures in Few-Shot Learning Domain
Shruti Jadon, Aryan Jadon
Since 2012, Deep learning has revolutionized Artificial Intelligence and has achieved state-of-the-art outcomes in different domains, ranging from Image Classification to Speech Ge…
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…
SSM-Net for Plants Disease Identification in Low Data Regime
Shruti Jadon
Plant disease detection is an essential factor in increasing agricultural production. Due to the difficulty of disease detection, farmers spray various pesticides on their crops to…
Schema Matching using Machine Learning
Tanvi Sahay, Ankita Mehta, Shruti Jadon
Schema Matching is a method of finding attributes that are either similar to each other linguistically or represent the same information. In this project, we take a hybrid approach…
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…
Unsupervised video summarization framework using keyframe extraction and video skimming
Shruti Jadon, Mahmood Jasim
Video is one of the robust sources of information and the consumption of online and offline videos has reached an unprecedented level in the last few years. A fundamental challenge…
Military Simulator - A Case Study of Behaviour Tree and Unity based architecture
Shruti Jadon, Anubhav Singhal, Suma Dawn
In this paper we show how the combination of Behaviour Tree and Utility Based AI architecture can be used to design more realistic bots for Military Simulators. In this work, we ha…