3 citations · 5 across the 4 of their papers we have counts for
4 papers
Weak Supervision for Affordable Modeling of Electrocardiogram Data
Mononito Goswami, Benedikt Boecking, Artur Dubrawski
Analysing electrocardiograms (ECGs) is an inexpensive and non-invasive, yet powerful way to diagnose heart disease. ECG studies using Machine Learning to automatically detect abnor…
The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming
Chufan Gao, Mononito Goswami
Most advanced supervised Machine Learning (ML) models rely on vast amounts of point-by-point labelled training examples. Hand-labelling vast amounts of data may be tedious, expensi…
Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children
Mononito Goswami, Minkush Manuja, Maitree Leekha
Social robots and interactive computer applications have the potential to foster early language development in young children by acting as peer learning companions. However, studie…
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
Chufan Gao, Fabian Falck, Mononito Goswami +3
Monitoring physiological responses to hemodynamic stress can help in determining appropriate treatment and ensuring good patient outcomes. Physicians' intuition suggests that the h…