Anika Tabassum

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B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyZweryfikowany adres z cs.cmu.edu
Supriya ChinthavaliOak Ridge National LaboratoryZweryfikowany adres z ornl.gov
Bijaya AdhikariDepartment of Computer Science, University of IowaZweryfikowany adres z uiowa.edu
Sangkeun Matthew (Matt) LeeComputer Scientist, Computational Data Analytics Group, CSED, ORNLZweryfikowany adres z ornl.gov
Alexander RodríguezGeorgia Institute of TechnologyZweryfikowany adres z gatech.edu
Pulak AgarwalGeorgia Institute of TechnologyZweryfikowany adres z gatech.edu
Jiaming CuiPh.D. student, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu
Nikhil MuralidharStevens Institute of TechnologyZweryfikowany adres z stevens.edu
Liangzhe ChenPinterestZweryfikowany adres z vt.edu
Jiajia XiePhD Student, Computational Science and Engineering, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu
Naren RamakrishnanThomas L. Phillips Professor of Engineering, Virginia Tech and Director, @SanghaniCtrVTZweryfikowany adres z cs.vt.edu
Teja KurugantiDistinguished R&D Staff, Oak Ridge National LaboratoryZweryfikowany adres z ornl.gov
Deen Mohammad AbdullahGraduate Teaching and Research Assistant, University of LethbridgeZweryfikowany adres z uleth.ca
Shibbir AhmedPh.D. Student, Computer Science, Iowa State UniversityZweryfikowany adres z iastate.edu
Heather BuckberrySenior Project Manager, Barge Design SolutionsZweryfikowany adres z bargedesign.com
Sukarna BaruaProfessor Assistant, Computer Science, BUETZweryfikowany adres z cse.buet.ac.bd
Tanzima HashemProfessor, Computer Science & Enginnering, Bangladesh University of EngineeringZweryfikowany adres z cse.buet.ac.bd
Tasmin ChowdhuryResearch Engineer, NTT DOCOMOZweryfikowany adres z docomoinnovations.com
Pravallika DevineniDuke Energy IncZweryfikowany adres z duke-energy.com
Hao LuOak Ridge National labZweryfikowany adres z ornl.gov

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Anika Tabassum

Oak Ridge National Laboratory, Virginia Tech

Zweryfikowany adres z ornl.gov - Strona główna

Graph mining Time series Data mining Explainable ML


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	123	2022
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	71	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	19	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	18	2017
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	10	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	7	2022
Data mining critical infrastructure systems: Models and tools A Tabassum, S Chinthavali, L Chen, A Prakash IEEE Intelligent Informatics Bulletin 19 (2), 2018	7	2018
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. medRxiv, 2020 A Rodriguez, A Tabassum, J Cui, J Xie, J Ho, P Agarwal, B Adhikari, ... Google Scholar, 0	6
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
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	5	2016
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	3	2019
Automatic contextual commit message generation: A two-phase conversion approach MS Ahmed, A Tabassum	3	2018
Aditya Prakash B R Alexander, T Anika, C Jiaming, X Jiajia, H Javen, A Pulak, A Bijaya DeepCOVID: An Operational Deep Learning-Driven Framework for Explainable …, 2021	2	2021
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	2	2019
Collection management tweets project fall 2017 F Khaghani, J Zeng, M Bhuiyan, A Tabassum, P Bandyopadhyay Virginia Tech, 2018	2	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	1	2021
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
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

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