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

Attention for Causal Relationship Discovery from Biological Neural Dynamics.
CoRR, 2023

Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

2022
Snapshot Multispectral Imaging Using a Diffractive Optical Network.
CoRR, 2022

Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks.
CoRR, 2022

Super-resolution image display using diffractive decoders.
CoRR, 2022

Real Time Bangla License Plate Recognition with Deep Learning Techniques.
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

ECG Heartbeat Classification Using Multimodal Fusion.
IEEE Access, 2021

ECG Heart-Beat Classification Using Multimodal Image Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2021

Actionable Insights in Urban Multivariate Time-series.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Efficient Contingency Analysis in Power Systems via Network Trigger Nodes.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identification of Critical Infrastructure via PageRank.
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
Cut-n-Reveal: Time Series Segmentations with Explanations.
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

Toward Quantifying Vulnerabilities in Critical Infrastructure Systems.
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
Dynamic Group Trip Planning Queries in Spatial Databases.
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


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