1 code implementation • 5 Nov 2022 • 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 predictive maintenance.
1 code implementation • 18 May 2021 • 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.
2 code implementations • 11 Feb 2021 • Shruti Jadon
Our experimental results showcased that we can implement an efficient and accurate deep learning model for COVID-19 detection by adopting the few-shot learning approaches even with less amount of data.
no code implementations • 11 Jan 2021 • Shruti Jadon, Jan Kanty Milczek, Ajit Patankar
We hope that this evaluation provides a comprehensive summary to innovate in forecasting approaches for telemetry data.
1 code implementation • 12 Aug 2020 • Shruti Jadon, Aryan Jadon
In this paper, we have reviewed some of the well-known deep learning-based approaches towards few-shot learning.
2 code implementations • 26 Jun 2020 • Shruti Jadon
In this paper, we have summarized some of the well-known loss functions widely used for Image Segmentation and listed out the cases where their usage can help in fast and better convergence of a model.
1 code implementation • 1 Jun 2020 • Shruti Jadon, Owen P. Leary, Ian Pan, Tyler J. Harder, David W. Wright, Lisa H. Merck, Derek L. Merck
The goal of segmentation is to increase efficiency and simplicity of visualization and quantification of regions of interest within a medical image.
1 code implementation • 27 May 2020 • Shruti Jadon
In this paper, we propose a new metrics-based few-shot learning SSM net architecture, which consists of stacked siamese and matching network components to address the problem of disease detection in low data regimes.
no code implementations • 24 Nov 2019 • 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.
1 code implementation • 22 Oct 2019 • 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 intriguing ideas in machine learning.
2 code implementations • 10 Oct 2019 • 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.
no code implementations • 30 May 2014 • 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.