| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 171 | 2022 |
| Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting A Rodriguez, A Tabassum, J Cui, J Xie, J Ho, P Agarwal, B Adhikari, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15393 …, 2021 | 91 | 2021 |
| Steering a historical disease forecasting model under a pandemic: Case of flu and covid-19 A Rodríguez, N Muralidhar, B Adhikari, A Tabassum, N Ramakrishnan, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 4855-4863, 2021 | 27 | 2021 |
| Dynamic group trip planning queries in spatial databases A Tabassum, S Barua, T Hashem, T Chowdhury Proceedings of the 29th international conference on scientific and …, 2017 | 20 | 2017 |
| COVID-19 pandemic ramifications on residential Smart homes energy use load profiles S Chinthavali, V Tansakul, S Lee, M Whitehead, A Tabassum, M Bhandari, ... Energy and Buildings 259, 111847, 2022 | 15 | 2022 |
| University ranking prediction system by analyzing influential global performance indicators A Tabassum, M Hasan, S Ahmed, R Tasmin, DM Abdullah, T Musharrat 2017 9th International Conference on Knowledge and Smart Technology (KST …, 2017 | 11 | 2017 |
| Discovering knowledge regarding academic profile of students pursuing graduate studies in world's top universities S Ahmed, ASML Hoque, M Hasan, R Tasmin, DM Abdullah, A Tabassum 2016 International Workshop on Computational Intelligence (IWCI), 120-125, 2016 | 7 | 2016 |
| Data mining critical infrastructure systems: Models and tools A Tabassum, S Chinthavali, L Chen, A Prakash IEEE Intelligent Informatics Bulletin 19 (2), 2018 | 6 | 2018 |
| Cut-n-reveal: Time series segmentations with explanations N Muralidhar, A Tabassum, L Chen, S Chinthavali, N Ramakrishnan, ... ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 1-26, 2020 | 5 | 2020 |
| Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective SE Amiri, A Tabassum, ET Ewing, BA Prakash ACM SIGKDD Explorations Newsletter 21 (2), 91-100, 2019 | 5 | 2019 |
| Toward quantifying vulnerabilities in critical infrastructure systems P Devineni, B Kay, H Lu, A Tabassum, S Chintavali, SM Lee 2020 IEEE International Conference on Big Data (Big Data), 2884-2890, 2020 | 4 | 2020 |
| Quantification of energy cost savings through optimization and control of appliances within smart neighborhood homes S Chinthavali, V Tansakul, S Lee, A Tabassum, J Munk, J Jakowski, ... Proceedings of the 1st ACM International Workshop on Urban Building Energy …, 2019 | 4 | 2019 |
| Automatic contextual commit message generation: A two-phase conversion approach MS Ahmed, A Tabassum | 3 | 2018 |
| Identification of critical infrastructure via pagerank B Kay, H Lu, P Devineni, A Tabassum, S Chintavali, SM Lee 2021 IEEE International Conference on Big Data (Big Data), 3685-3690, 2021 | 2 | 2021 |
| Collection management tweets project fall 2017 F Khaghani, J Zeng, M Bhuiyan, A Tabassum, P Bandyopadhyay Virginia Tech, 2018 | 2 | 2018 |
| Efficient contingency analysis in power systems via network trigger nodes A Tabassum, S Chinthavali, S Lee, N Stenvig, B Kay, T Kuruganti, ... 2021 IEEE International Conference on Big Data (Big Data), 1964-1973, 2021 | 1 | 2021 |
| Actionable Insights in Urban Multivariate Time-series A Tabassum, S Chinthavali, V Tansakul, BA Prakash Proceedings of the 30th ACM International Conference on Information …, 2021 | 1 | 2021 |
| Urban-Net: A System to Understand and Analyze Critical Infrastructure Networks for Emergency Management A Tabassum, S Chinthavali, S Lee, L Chen, BA Prakash Proceedings of ACM SIGKDD, 2019 | 1 | 2019 |
| MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning A Tabassum, N Muralidhar, R Kannan, S Allu 2022 IEEE International Conference on Big Data (Big Data), 1936-1941, 2022 | | 2022 |
| Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact A Tabassum, N Stenvig, S Lee, S Chinthavali 2022 IEEE International Conference on Big Data (Big Data), 6815-6817, 2022 | | 2022 |
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
