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2020 – today
- 2024
[j5]Sangkeun Matt Lee
, Supriya Chinthavali, Narayan Bhusal, Nils M. Stenvig, Anika Tabassum, P. Teja Kuruganti:
Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping. IEEE Access 12: 5237-5255 (2024)- [c19]Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar:
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. AAAI 2024: 15066-15074 - [c18]Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone:
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE 2024: 1-7 - [i9]Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar:
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. CoRR abs/2402.11760 (2024) - 2023
- [j4]Md. Ishan Arefin Hossain, Anika Tabassum, Zia Ush-Shamszaman:
Deep edge intelligence-based solution for heart failure prediction in ambient assisted living. Discov. Internet Things 3(1): 11 (2023) - [c17]Sangkeun Lee, Jong Choi, Gs Jung, Anika Tabassum, Nils M. Stenvig, Supriya Chinthavali:
Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets. IRI 2023: 211-212 - [i8]Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim:
Attention for Causal Relationship Discovery from Biological Neural Dynamics. CoRR abs/2311.06928 (2023) - 2022
- [c16]Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu:
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning. IEEE Big Data 2022: 1936-1941 - [c15]Sangkeun Lee, Supriya Chinthavali, Sarah Tennille, Junghoon Chae, Anika Tabassum, Varisara Tansakul, Daniel Redmon, Robert Moncrief, Aaron Myers:
Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components. IEEE Big Data 2022: 6749-6751 - [c14]Anika Tabassum, Nils M. Stenvig, Sangkeun Lee, Supriya Chinthavali:
Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact. IEEE Big Data 2022: 6815-6817 - [c13]Mahmudol H. Tusar, Md. T. Bhuiya, Md. S. Hossain, Anika Tabassum, Riasat Khan:
Real Time Bangla License Plate Recognition with Deep Learning Techniques. IICAIET 2022: 1-6 - [i7]Çagatay Isil, Deniz Mengu, Yifan Zhao, Anika Tabassum, Jingxi Li, Yi Luo, Mona Jarrahi, Aydogan Ozcan:
Super-resolution image display using diffractive decoders. CoRR abs/2206.07281 (2022) - [i6]Deniz Mengu, Yifan Zhao, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan:
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks. CoRR abs/2206.10152 (2022) - [i5]Deniz Mengu, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan:
Snapshot Multispectral Imaging Using a Diffractive Optical Network. CoRR abs/2212.05217 (2022) - 2021
- [b1]Anika Tabassum:
Explainable and Network-based Approaches for Decision-making in Emergency Management. Virginia Tech, Blacksburg, VA, USA, 2021 - [j3]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heartbeat Classification Using Multimodal Fusion. IEEE Access 9: 100615-100626 (2021) - [c12]Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash:
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI 2021: 4855-4863 - [c11]Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash:
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. AAAI 2021: 15393-15400 - [c10]Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils M. Stenvig, Bill Kay, P. Teja Kuruganti, B. Aditya Prakash:
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. IEEE BigData 2021: 1964-1973 - [c9]Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
Identification of Critical Infrastructure via PageRank. IEEE BigData 2021: 3685-3690 - [c8]Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash:
Actionable Insights in Urban Multivariate Time-series. CIKM 2021: 1774-1783 - [c7]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heart-Beat Classification Using Multimodal Image Fusion. ICASSP 2021: 1330-1334 - [i4]Zeeshan Ahmad, Anika Tabassum, Naimul Mefraz Khan, Ling Guan:
ECG Heart-beat Classification Using Multimodal Image Fusion. CoRR abs/2105.13536 (2021) - [i3]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heartbeat Classification Using Multimodal Fusion. CoRR abs/2107.09869 (2021) - 2020
- [j2]Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash:
Cut-n-Reveal: Time Series Segmentations with Explanations. ACM Trans. Intell. Syst. Technol. 11(5): 53:1-53:26 (2020) - [c6]Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. IEEE BigData 2020: 2884-2890 - [c5]Anika Tabassum, Naimul Mefraz Khan:
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks. ICHI 2020: 1-3 - [i2]Anika Tabassum, Naimul Mefraz Khan:
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks. CoRR abs/2008.05566 (2020) - [i1]Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash:
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR abs/2009.11407 (2020)
2010 – 2019
- 2019
- [j1]Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing, B. Aditya Prakash:
Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective. SIGKDD Explor. 21(2): 91-100 (2019) - 2018
- [c4]Anika Tabassum, Shakib Mahmood, Sadman Sakib Ahbab, Asir Intisar Khan, Samia Subrina:
Impact of Vacancies on Thermal Transport of Defected Zigzag Stanene Nanoribbon: A Molecular Dynamics Simulation Study. TENCON 2018: 282-286 - 2017
- [c3]Anika Tabassum, Mahamudul Hasan, Shibbir Ahmed, Rahnuma Tasmin, Deen Md. Abdullah, Tasnim Musharrat:
University ranking prediction system by analyzing influential global performance indicators. KST 2017: 126-131 - [c2]Anika Tabassum, Sukarna Barua, Tanzima Hashem, Tasmin Chowdhury:
Dynamic Group Trip Planning Queries in Spatial Databases. SSDBM 2017: 38:1-38:6 - 2016
- [c1]Shibbir Ahmed, Abu Sayed Md. Latiful Hoque, Mahamudul Hasan, Rahnuma Tasmin, Deen Md. Abdullah, Anika Tabassum:
Discovering knowledge regarding academic profile of students pursuing graduate studies in world's top universities. IWCI 2016: 120-125
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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