Search Results for author: Snehasis Banerjee

Found 3 papers, 1 papers with code

Interpretable Feature Recommendation for Signal Analytics

no code implementations6 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 implementations13 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 implementation17 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.

Classification Emotion Classification +2

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