AI based Safety System for Employees of Manufacturing Industries in Developing Countries

no code implementations • 28 Nov 2018 • Abhisek Das, Satanik Panda, Suman Datta, Soumitra Naskar, Pratep Misra, Tanushyam Chattopadhyay

3. 2% alarms are coming from the changes in the system which in turn used to retrain the model and 1. 19% alarms are false alarms.

Transfer Learning

Interpretable Feature Recommendation for Signal Analytics

no code implementations • 6 Nov 2017 • Snehasis Banerjee, Tanushyam Chattopadhyay, Ayan Mukherjee

The proposed approach is based on Wide Learning architecture and provides means for interpretation of the recommended features.

Automation of Feature Engineering for IoT Analytics

no code implementations • 13 Jul 2017 • Snehasis Banerjee, Tanushyam Chattopadhyay, Arpan Pal, Utpal Garain

Several pattern recognition principles and state of art (SoA) ML techniques are followed to design the overall approach for the proposed automation.

Decision Making Feature Engineering +1

Towards Wide Learning: Experiments in Healthcare

1 code implementation • 17 Dec 2016 • Snehasis Banerjee, Tanushyam Chattopadhyay, Swagata Biswas, Rohan Banerjee, Anirban Dutta Choudhury, Arpan Pal, Utpal Garain

In this paper, a Wide Learning architecture is proposed that attempts to automate the feature engineering portion of the machine learning (ML) pipeline.

Emotion Classification Feature Engineering +1