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ORCIDShoumik Roychoudhury
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2020 – today
- 2022
[c7]Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Leveraging Dependencies among Learned Temporal Subsequences. SDM 2022: 504-512- 2020
- [j1]Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao
, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic:
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput. Methods Programs Biomed. 197: 105765 (2020)
2010 – 2019
- 2019
- [c6]Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification. SDM 2019: 495-503 - 2018
- [c5]Mladen Kezunovic, Zoran Obradovic, Tatjana Djokic, Shoumik Roychoudhury:
Systematic Framework for Integration of Weather Data into Prediction Models for the Electric Grid Outage and Asset Management Applications. HICSS 2018: 1-10 - 2017
- [c4]Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic:
Cost Sensitive Time-Series Classification. ECML/PKDD (2) 2017: 495-511 - 2016
- [c3]Tom Mirowski, Shoumik Roychoudhury, Fang Zhou, Zoran Obradovic:
Predicting Poll Trends Using Twitter and Multivariate Time-Series Classification. SocInfo (1) 2016: 273-289 - 2015
- [c2]Dusan Ramljak, Adam Davey, Alexey Uversky, Shoumik Roychoudhury, Zoran Obradovic:
Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses. AMIA 2015 - [c1]Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic:
False alarm suppression in early prediction of cardiac arrhythmia. BIBE 2015: 1-6
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