Impact of data-splits on generalization: Identifying COVID-19 from cough and context

1 code implementation • 5 Jun 2021 • Makkunda Sharma, Nikhil Shenoy, Jigar Doshi, Piyush Bagad, Aman Dalmia, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agrawal, Rahul Panicker

Using cough and context (symptoms and meta-data) represent such a promising approach.

Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds

1 code implementation • 17 Sep 2020 • Piyush Bagad, Aman Dalmia, Jigar Doshi, Arsha Nagrani, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agarwal, Rahul Panicker

Testing capacity for COVID-19 remains a challenge globally due to the lack of adequate supplies, trained personnel, and sample-processing equipment.

Siamese Neural Networks with Random Forest for detecting duplicate question pairs

no code implementations • 22 Jan 2018 • Ameya Godbole, Aman Dalmia, Sunil Kumar Sahu

We got the best result by using the Siamese adaptation of a Bidirectional GRU with a Random Forest classifier, which landed us among the top 24% in the competition Quora Question Pairs hosted on Kaggle.

BIG-bench Machine Learning