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Anika Tabassum
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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
2002022
Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting
A Rodríguez, A Tabassum, J Cui, J Xie, J Ho, P Agarwal, B Adhikari, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15393 …, 2021
1112021
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
292021
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
212017
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
202022
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
172017
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
72019
Data mining critical infrastructure systems: Models and tools
A Tabassum, S Chinthavali, L Chen, A Prakash
IEEE Intelligent Informatics Bulletin 19 (2), 2018
72018
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
72016
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
52020
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
52020
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
52019
Automatic contextual commit message generation: A two-phase conversion approach
MS Ahmed, A Tabassum
32018
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
22022
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
22021
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
22021
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
22019
Collection management tweets project fall 2017
F Khaghani, J Zeng, M Bhuiyan, A Tabassum, P Bandyopadhyay
Virginia Tech, 2018
22018
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
12021
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
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