Bibhas Chakraborty
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
2
Active years
2020–2024
Best venue rank
National
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | Persuasive | Preface to the 1st International Workshop on Algorithmic Behavior Change Support. | Nele Albers, Amal Abdulrahman, Deborah Richards, Caroline A. Figueroa, Bibhas Chakraborty, Ananya Bhattacharjee, Linwei He, Mark A. Neerincx, Joseph Jay Williams, Nezih Younsi, Tibor Bosse, Annemiek Linn, Crystal Smit, Willem-Paul Brinkman |
| 2022 | AMIA | A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study. | Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu |
| 2022 | AMIA | AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. | Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu |
| 2022 | AMIA | Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records. | Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu |
| 2021 | AMIA | Development and Validation of a Survival Score for the Emergency Department in Singapore. | Feng Xie, Bibhas Chakraborty, Nan Liu, Marcus Eng Hock Ong |
| 2020 | AMIA | Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones. | Caroline A. Figueroa, Adrin Aguilera, Bibhas Chakraborty, Arghavan Modiri, Jai Aggarwal, Nina Deliu, Urmimala Sarkar, Joseph Jay Williams, Courtney R. Lyles |