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2020 – today
- 2024
[c5]Yash Khandelwal, Mayur Arvind, Sriram Kumar, Ashish Gupta, Sachin Kumar Danisetty, Piyush Bagad, Anish Madan, Mayank Lunayach, Aditya Annavajjala, Abhishek Maiti, Sansiddh Jain, Aman Dalmia, Namrata Deka, Jerome White, Jigar Doshi, Angjoo Kanazawa, Rahul Panicker, Alpan Raval, Srinivas Rana, Makarand Tapaswi:
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry. CVPR Workshops 2024: 332-342- [i3]Yash Khandelwal, Mayur Arvind, Sriram Kumar, Ashish Gupta, Sachin Kumar Danisetty, Piyush Bagad, Anish Madan, Mayank Lunayach, Aditya Annavajjala, Abhishek Maiti, Sansiddh Jain, Aman Dalmia, Namrata Deka, Jerome White, Jigar Doshi, Angjoo Kanazawa, Rahul Panicker, Alpan Raval, Srinivas Rana, Makarand Tapaswi:
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry. CoRR abs/2405.05530 (2024) - 2022
- [c4]Mihir Kulkarni, Satvik Golechha, Rishi Raj, Jithin K. Sreedharan, Ankit Bhardwaj
, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Sanjay Mattoo, Rajendra Joshi, Kirankumar Rade, Alpan Raval:
Predicting Treatment Adherence of Tuberculosis Patients at Scale. ML4H@NeurIPS 2022: 35-61 - [i2]Mihir Kulkarni, Satvik Golechha, Rishi Raj, Jithin K. Sreedharan, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Sanjay Mattoo, Rajendra Joshi, Kirankumar Rade, Alpan Raval:
Predicting Treatment Adherence of Tuberculosis Patients at Scale. CoRR abs/2211.02943 (2022) - 2021
- [c3]Nayana Bannur, Harsh Maheshwari, Sansiddh Jain, Shreyas Shetty, Srujana Merugu, Alpan Raval:
Adaptive COVID-19 Forecasting via Bayesian Optimization. COMAD/CODS 2021: 432 - [i1]Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu:
Interpretability of Epidemiological Models : The Curse of Non-Identifiability. CoRR abs/2104.14821 (2021) - 2020
- [c2]Ankit Bhardwaj, Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval:
Robust Lock-Down Optimization for COVID-19 Policy Guidance. AI4SG@AAAI Fall Symposium 2020 - [c1]Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. AAMAS 2020: 992-1000
2000 – 2009
- 2008
- [j4]Sri R. Paladugu, Shan Zhao, Animesh Ray, Alpan Raval:
Mining protein networks for synthetic genetic interactions. BMC Bioinform. 9 (2008) - [j3]Steven J. Lewis, Alpan Raval, John E. Angus:
Bayesian Monte Carlo estimation for profile hidden Markov models. Math. Comput. Model. 47(11-12): 1198-1216 (2008) - 2006
- [j2]Michael Baitaluk, Xufei Qian, Shubhada Godbole, Alpan Raval, Animesh Ray, Amarnath Gupta:
PathSys: integrating molecular interaction graphs for systems biology. BMC Bioinform. 7: 55 (2006) - 2002
- [j1]Alpan Raval, Zoubin Ghahramani, David L. Wild:
A Bayesian network model for protein fold and remote homologue recognition. Bioinform. 18(6): 788-801 (2002)
Coauthor Index
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