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2020 – today
- 2024
[j4]Parvin Hashemi
, Iris Reychav, Ankur Arora, Nour Sawaed, Rajiv Sabherwal, Joseph Azuri:
How does information technology affect individuals' health behavior in a pandemic? Insights from mobile health application use during COVID-19. Comput. Hum. Behav. 151: 108005 (2024)- 2022
- [j3]Viswanath Venkatesh, James Y. L. Thong, Kai Spohrer, Frank K. Y. Chan, Ankur Arora, Hartmut Hoehle, Srinivasan Venkatraman:
Equality Does Not Make You Happy: Effects of Differentiated Leader-Member Exchange and Team-Member Exchange on Developer Satisfaction in Agile Development Teams. MIS Q. 47(3): 1239-1270 (2022) - [c10]Anil Surisetty, Deepak Chaurasiya, Nitish Kumar, Alok Singh, Gaurav Dhama, Aakarsh Malhotra, Ankur Arora, Vikrant Dey:
RePS: Relation, Position and Structure aware Entity Alignment. WWW (Companion Volume) 2022: 1083-1091 - [i1]Deepak Chaurasiya, Anil Surisetty, Nitish Kumar, Alok Singh, Vikrant Dey, Aakarsh Malhotra, Gaurav Dhama, Ankur Arora:
Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies. CoRR abs/2205.08777 (2022) - 2021
- [j2]Iris Reychav, Ankur Arora, Rajiv Sabherwal, Karina Polyak, Jun Sun, Joseph Azuri:
Reporting health data in waiting rooms with mobile technology: Patient expectation and confirmation. Int. J. Medical Informatics 148: 104376 (2021) - [c9]Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora:
MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare. FLAIRS 2021 - [c8]Maitrey Gramopadhye, Shreyansh Singh, Kushagra Agarwal, Nitish Srivasatava, Alok Singh, Siddhartha Asthana, Ankur Arora:
CuRL: Coupled Representation Learning of Cards and Merchants to Detect Transaction Frauds. ICANN (5) 2021: 16-29 - [c7]Aditya Singh, Anubhav Gupta, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora:
Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud Detection. ICMLA 2021: 391-396 - [c6]Lalasa Dheekollu, Hardik Wadhwa, Siddharth Vimal, Anubhav Gupta, Siddhartha Asthana, Ankur Arora, Smriti Gupta:
Modeling approaches for Silent Attrition prediction in Payment networks. ICMLA 2021: 409-414 - [c5]Karthikeswaren R, Kanishka Kayathwal, Gaurav Dhama, Ankur Arora:
A Survey on Classical and Deep Learning based Intermittent Time Series Forecasting Methods. IJCNN 2021: 1-7 - [c4]Ankur Debnath, Nitish Gupta, Govind Waghmare, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora:
Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data. PKDD/ECML Workshops (1) 2021: 306-321 - 2020
- [c3]Kushagra Agarwal, Lalasa Dheekollu, Gaurav Dhama, Ankur Arora, Siddhartha Asthana, Tanmoy Bhowmik:
Deep Learning based Time Series Forecasting. ICMLA 2020: 859-864 - [c2]Nidhi Mulay, Vikas Bishnoi, Himanshi Charotia, Siddhartha Asthana, Gaurav Dhama, Ankur Arora:
Pandemic spread prediction and healthcare preparedness through financial and mobility data. ICMLA 2020: 1340-1347
2010 – 2019
- 2019
- [j1]John A. Aloysius, Ankur Arora, Viswanath Venkatesh:
Shoplifting in mobile checkout settings: cybercrime in retail stores. Inf. Technol. People 32(5): 1234-1261 (2019)
2000 – 2009
- 2009
- [c1]Pradip Sadarangani, Ankur Arora:
The Role of Trust in Impact of Leadership on Knowledge Sharing. KMIS 2009: 266-270
Coauthor Index
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