13 citations · 31 across the 15 of their papers we have counts for
4 papers · 1 filter
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya +1
A large fraction of data generated via human activities such as online purchases, health records, spatial mobility etc. can be represented as a sequence of events over a continuous…
Map Enhanced Route Travel Time Prediction using Deep Neural Networks
Soumi Das, Rajath Nandan Kalava, Kolli Kiran Kumar +4
Travel time estimation is a fundamental problem in transportation science with extensive literature. The study of these techniques has intensified due to availability of many publi…
A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences
Asis Roy, Sourangshu Bhattacharya, Kalyan Guin
Tests for Esophageal cancer can be expensive, uncomfortable and can have side effects. For many patients, we can predict non-existence of disease with 100% certainty, just using de…
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan +1
We consider the problem of Probably Approximate Correct (PAC) learning of a binary classifier from noisy labeled examples acquired from multiple annotators (each characterized by a…