3 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
Interpretable Feature Recommendation for Signal Analytics
Snehasis Banerjee, Tanushyam Chattopadhyay, Ayan Mukherjee
This paper presents an automated approach for interpretable feature recommendation for solving signal data analytics problems. The method has been tested by performing experiments…
Automation of Feature Engineering for IoT Analytics
Snehasis Banerjee, Tanushyam Chattopadhyay, Arpan Pal +1
This paper presents an approach for automation of interpretable feature selection for Internet Of Things Analytics (IoTA) using machine learning (ML) techniques. Authors have condu…
Towards Wide Learning: Experiments in Healthcare
Snehasis Banerjee, Tanushyam Chattopadhyay, Swagata Biswas +4
In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline. Feature engineering is wide…