1 code implementation • 11 Feb 2024 • Santonu Sarkar, Shanay Mehta, Nicole Fernandes, Jyotirmoy Sarkar, Snehanshu Saha
The paper contributes significantly by conducting an unbiased comparison of various anomaly detection algorithms, spanning classical machine learning including various tree-based approaches to deep learning and outlier detection methods.
no code implementations • 17 Feb 2023 • Snehanshu Saha, Jyotirmoy Sarkar, Soma Dhavala, Santonu Sarkar, Preyank Mota
In particular, we propose Parametric Elliot Function (PEF) as an activation function (AF) inside LSTM, which saturates lately compared to sigmoid and tanh.
no code implementations • 6 Sep 2021 • Jyotirmoy Sarkar, Kartik Bhatia, Snehanshu Saha, Margarita Safonova, Santonu Sarkar
The algorithm is based on the postulate that Earth is an anomaly, with the possibility of existence of few other anomalies among thousands of data points.