4 citations · 8 across the 3 of their papers we have counts for
5 papers
Unsupervised Driving Behavior Analysis using Representation Learning and Exploiting Group-based Training
Soma Bandyopadhyay, Anish Datta, Shruti Sachan +1
Driving behavior monitoring plays a crucial role in managing road safety and decreasing the risk of traffic accidents. Driving behavior is affected by multiple factors like vehicle…
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training
Soma Bandyopadhyay, Anish Datta, Arpan Pal
Time-series generated by end-users, edge devices, and different wearables are mostly unlabelled. We propose a method to auto-generate labels of un-labelled time-series, exploiting…
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis
Soma Bandyopadhyay, Anish Datta, Arpan Pal
Getting a robust time-series clustering with best choice of distance measure and appropriate representation is always a challenge. We propose a novel mechanism to identify the clus…
Class Augmented Semi-Supervised Learning for Practical Clinical Analytics on Physiological Signals
Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri +2
Computational analysis on physiological signals would provide immense impact for enabling automated clinical analytics. However, the class imbalance issue where negative or minorit…
Murmur Detection Using Parallel Recurrent & Convolutional Neural Networks
Shahnawaz Alam, Rohan Banerjee, Soma Bandyopadhyay
In this article, we propose a novel technique for classification of the Murmurs in heart sound. We introduce a novel deep neural network architecture using parallel combination of…