Anika Tabassum

According to our database, Anika Tabassum authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping.

Sangkeun Matt Lee, Supriya Chinthavali, Narayan Bhusal, Nils M. Stenvig, Anika Tabassum, P. Teja Kuruganti

IEEE Access, 2024

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation.

Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar

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.

Md. Ishan Arefin Hossain, Anika Tabassum, Zia Ush-Shamszaman

Discov. Internet Things, December, 2023

Attention for Causal Relationship Discovery from Biological Neural Dynamics.

Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim

CoRR, 2023

Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets.

Sangkeun Lee, Jong Choi, Gs Jung, Anika Tabassum, Nils M. Stenvig, Supriya Chinthavali

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.

Deniz Mengu, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan

CoRR, 2022

Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks.

Deniz Mengu, Yifan Zhao, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan

CoRR, 2022

Super-resolution image display using diffractive decoders.

Çagatay Isil, Deniz Mengu, Yifan Zhao, Anika Tabassum, Jingxi Li, Yi Luo, Mona Jarrahi, Aydogan Ozcan

CoRR, 2022

Real Time Bangla License Plate Recognition with Deep Learning Techniques.

Mahmudol H. Tusar, Md. T. Bhuiya, Md. S. Hossain, Anika Tabassum, Riasat Khan

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.

Anika Tabassum, Nils M. Stenvig, Sangkeun Lee, Supriya Chinthavali

Proceedings of the IEEE International Conference on Big Data, 2022

MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning.

Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu

Proceedings of the IEEE International Conference on Big Data, 2022

Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components.

Sangkeun Lee, Supriya Chinthavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers

Proceedings of the IEEE International Conference on Big Data, 2022

2021

ECG Heartbeat Classification Using Multimodal Fusion.

Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan

IEEE Access, 2021

ECG Heart-Beat Classification Using Multimodal Image Fusion.

Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan

Proceedings of the IEEE International Conference on Acoustics, 2021

Actionable Insights in Urban Multivariate Time-series.

Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash

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.

Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils M. Stenvig, Bill Kay, P. Teja Kuruganti, B. Aditya Prakash

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identification of Critical Infrastructure via PageRank.

Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee

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.

Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash

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.

Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cut-n-Reveal: Time Series Segmentations with Explanations.

Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash

ACM Trans. Intell. Syst. Technol., 2020

An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks.

Anika Tabassum, Naimul Mefraz Khan

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Toward Quantifying Vulnerabilities in Critical Infrastructure Systems.

Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee

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.

Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing, B. Aditya Prakash

SIGKDD Explor., 2019

2018

Impact of Vacancies on Thermal Transport of Defected Zigzag Stanene Nanoribbon: A Molecular Dynamics Simulation Study.

Anika Tabassum, Shakib Mahmood, Sadman Sakib Ahbab, Asir Intisar Khan, Samia Subrina

Proceedings of the TENCON 2018, 2018

2017

Dynamic Group Trip Planning Queries in Spatial Databases.

Anika Tabassum, Sukarna Barua, Tanzima Hashem, Tasmin Chowdhury

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

University ranking prediction system by analyzing influential global performance indicators.

Anika Tabassum, Mahamudul Hasan, Shibbir Ahmed, Rahnuma Tasmin, Deen Md. Abdullah, Tasnim Musharrat

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.

Shibbir Ahmed, Abu Sayed Md. Latiful Hoque, Mahamudul Hasan, Rahnuma Tasmin, Deen Md. Abdullah, Anika Tabassum

Proceedings of the 2016 International Workshop on Computational Intelligence (IWCI 2016), 2016