Anika Tabassum
Orcid: 0000-0002-5460-0955
According to our database1,
Anika Tabassum
authored at least 29 papers
between 2016 and 2024.
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Bibliography
2024
Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping.
IEEE Access, 2024
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Deep edge intelligence-based solution for heart failure prediction in ambient assisted living.
Discov. Internet Things, December, 2023
CoRR, 2023
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
2022
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks.
CoRR, 2022
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2022
Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact.
Proceedings of the IEEE International Conference on Big Data, 2022
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning.
Proceedings of the IEEE International Conference on Big Data, 2022
Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Explainable and Network-based Approaches for Decision-making in Emergency Management.
PhD thesis, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Intell. Syst. Technol., 2020
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective.
SIGKDD Explor., 2019
2018
Impact of Vacancies on Thermal Transport of Defected Zigzag Stanene Nanoribbon: A Molecular Dynamics Simulation Study.
Proceedings of the TENCON 2018, 2018
2017
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017
University ranking prediction system by analyzing influential global performance indicators.
Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017
2016
Discovering knowledge regarding academic profile of students pursuing graduate studies in world's top universities.
Proceedings of the 2016 International Workshop on Computational Intelligence (IWCI 2016), 2016