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ORCIDShanu Sushmita
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2020 – today
- 2024
[i3]Yaqi Xie, Anjali Rawal, Yujing Cen, Dixuan Zhao, Sunil K. Narang, Shanu Sushmita:
MUGC: Machine Generated versus User Generated Content Detection. CoRR abs/2403.19725 (2024)- [i2]Anjali Rawal, Hui Wang, Youjia Zheng, Yu-Hsuan Lin, Shanu Sushmita:
SMLT-MUGC: Small, Medium, and Large Texts - Machine versus User-Generated Content Detection and Comparison. CoRR abs/2407.12815 (2024)
2010 – 2019
- 2016
- [j2]Golnoosh Farnadi
, Geetha Sitaraman, Shanu Sushmita, Fabio Celli, Michal Kosinski, David Stillwell, Sergio Davalos, Marie-Francine Moens, Martine De Cock:
Computational personality recognition in social media. User Model. User Adapt. Interact. 26(2-3): 109-142 (2016) - [c12]Shanu Sushmita, Garima Khulbe, Aftab Hasan, Stacey Newman, Padmashree Ravindra, Senjuti Basu Roy, Martine De Cock, Ankur Teredesai:
Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c11]Surabhi Agrawal, Chun Pan Hon, Swati Garg, Aadarsh Sampath, Shanu Sushmita, Martine De Cock:
Sequence Based Prediction of Hospital Readmissions. BCB 2016: 489-490 - [c10]Chun Pan Hon, Mayana Pereira, Shanu Sushmita, Ankur Teredesai, Martine De Cock:
Risk Stratification for Hospital Readmission of Heart Failure Patients: A Machine Learning Approach. BCB 2016: 491-492 - [c9]Mayana Pereira, Vikhyati Singh, Chun Pan Hon, T. Greg McKelvey, Shanu Sushmita, Martine De Cock:
Predicting Future Frequent Users of Emergency Departments in California State. BCB 2016: 603-610 - 2015
- [c8]Shanu Sushmita, Stacey Newman, James Marquardt, Prabhu Ram, Viren Prasad, Martine De Cock, Ankur Teredesai:
Population Cost Prediction on Public Healthcare Datasets. Digital Health 2015: 87-94 - 2014
- [c7]James Marquardt, Stacey Newman, Deepa Hattarki, Rajagopalan Srinivasan, Shanu Sushmita, Prabhu Ram, Viren Prasad, David Hazel, Archana Ramesh, Martine De Cock, Ankur Teredesai:
HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs. ICDM Workshops 2014: 1227-1230 - [c6]Golnoosh Farnadi, Shanu Sushmita, Geetha Sitaraman, Nhat Ton, Martine De Cock, Sergio Davalos:
A Multivariate Regression Approach to Personality Impression Recognition of Vloggers. WCPR@MM 2014: 1-6 - [i1]Shanu Sushmita, Si-Chi Chin:
Health Information Search Behavior on the Web: A Pilot Study. CoRR abs/1410.8068 (2014) - 2012
- [b1]Shanu Sushmita:
Study of result presentation and interaction for aggregated search. University of Glasgow, UK, 2012 - [j1]Shanu Sushmita:
Study of result presentation and interaction for aggregated search. SIGIR Forum 46(1): 86-87 (2012) - [c5]Shanu Sushmita, Martin Halvey, Mounia Lalmas, Robert Villa:
Revisiting User Information Needs in Aggregated Search. EuroHCIR 2012: 17-20 - 2010
- [c4]Shanu Sushmita, Benjamin Piwowarski, Mounia Lalmas:
Dynamics of Genre and Domain Intents. AIRS 2010: 399-409 - [c3]Shanu Sushmita, Hideo Joho, Mounia Lalmas, Robert Villa:
Factors affecting click-through behavior in aggregated search interfaces. CIKM 2010: 519-528
2000 – 2009
- 2009
- [c2]Shanu Sushmita, Hideo Joho, Mounia Lalmas:
A Task-Based Evaluation of an Aggregated Search Interface. SPIRE 2009: 322-333 - 2007
- [c1]Shanu Sushmita, Santanu Chaudhury:
Hierarchical Fuzzy Case Based Reasoning with Multi-criteria Decision Making for Financial Applications. PReMI 2007: 226-234
Coauthor Index
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