| Enhancing short-term crime prediction with human mobility flows and deep learning architectures J Wu, SM Abrar, N Awasthi, E Frias-Martinez, V Frias-Martinez EPJ data science 11 (1), 53, 2022 | 16 | 2022 |
| Auditing the fairness of place-based crime prediction models implemented with deep learning approaches J Wu, SM Abrar, N Awasthi, V Frías-Martínez Computers, Environment and Urban Systems 102, 101967, 2023 | 11 | 2023 |
| ABC-Net: Semi-supervised multimodal GAN-based engagement detection using an affective, behavioral and cognitive model P Guhan, M Agarwal, N Awasthi, G Reeves, D Manocha, A Bera arXiv preprint arXiv:2011.08690, 2020 | 11 | 2020 |
| Analysis of performance improvements and bias associated with the use of human mobility data in covid-19 case prediction models SM Abrar, N Awasthi, D Smolyak, V Frias-Martinez ACM Journal on Computing and Sustainable Societies 1 (2), 1-36, 2023 | 6 | 2023 |
| Using COVID-19 vaccine attitudes on Twitter to improve vaccine uptake forecast models in the United States: infodemiology study of Tweets N Sigalo, N Awasthi, SM Abrar, V Frias-Martinez JMIR infodemiology 3 (1), e43703, 2023 | 5 | 2023 |
| Developing an effective and automated patient engagement estimator for telehealth: A machine learning approach P Guhan, N Awasthi, K Bussell, D Manocha, G Reeves, A Bera arXiv preprint arXiv:2011.08690, 2020 | 2 | 2020 |
| The BALTO toolkit-a new approach to ethical and sustainable data collection for equitable public transit V Frias-Martinez, S Abrar, N Awasthi, S Park, J Vitak Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and …, 2023 | 1 | 2023 |
| Auditing the Fairness of COVID-19 Forecast Hub Case Prediction Models SM Abrar, N Awasthi, D Smolyak, V Frias-Martinez arXiv preprint arXiv:2405.14891, 2024 | | 2024 |
| COVID-19's Unequal Toll: An assessment of small business impact disparities with respect to ethnorace in metropolitan areas in the US using mobility data SM Abrar, KT Zinat, N Awasthi, V Frias-Martinez arXiv preprint arXiv:2405.11121, 2024 | | 2024 |
| Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models D Smolyak, S Abrar, N Awasthi, V Frias-Martinez arXiv preprint arXiv:2405.10355, 2024 | | 2024 |
| Using an App for Real-Time Measurement of Transit Rider Satisfaction C Antoun, V Frías-Martínez, SM Abrar, N Awasthi, A Garove 79th Annual AAPOR Conference, 2024 | | 2024 |
| DemOpts: Fairness corrections in COVID-19 case prediction models N Awasthi, S Abrar, D Smolyak, V Frias-Martinez arXiv preprint arXiv:2405.09483, 2024 | | 2024 |
| Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models SM Abrar, N Awasthi, D Smolyak, V Frias-Martinez arXiv preprint arXiv:2407.10304, 2024 | | 2024 |
| TeleEngage: A Multimodal Semi-Supervised Approach to Measure Engagement for Telemental Health P Guhan, N Awasthi, R Das, M Agarwal, K McDonald, K Bussell, ... | | 2022 |
| Spatio-temporal analysis of Indian urban infrastructure growth using deep learning and 3-channel RGB satellite images N Awasthi, R Pandharkar, N Naik Tenth International Conference on Graphics and Image Processing (ICGIP 2018 …, 2019 | | 2019 |
Saad Mohammad AbrarGraduate Research Assistant, University of Maryland在 umd.edu 的电子邮件经过验证
