Concepedia

Anika Tabassum

AT

15

Publications

926

Citations

14

H-Index

2017

Active since

Affiliations

Georgia Institute of Technology(Current)

University of Iowa

University of California, Los Angeles

University of Victoria

Anika Tabassum is an author at Georgia Institute of Technology specializing in engineering, data science, and machine learning.

Top concepts

EngineeringData ScienceMachine LearningCovid-19ForecastingDeep LearningComputer SciencePredictive AnalyticsBig DataEpidemiology

Publications per year

2017–2023

15

Publications

15

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Estee Y. Cramer, Evan L Ray, Velma K. Lopez et al. · Proceedings of the National Academy of Sciences · 2022 · 296 citations · Full text

ECG Heartbeat Classification Using Multimodal Fusion

Zeeshan Ahmad, Anika Tabassum, Ling Guan et al. · IEEE Access · 2021 · 136 citations · Full text

Electrophysiological Evaluation, Image Analysis, Machine Learning +13

The United States COVID-19 Forecast Hub dataset

Estee Y. Cramer, Yuxin Huang, Yijin Wang et al. · Scientific Data · 2022 · 119 citations · Full text

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US

Estee Y. Cramer, Evan L Ray, Velma K. Lopez et al. · 2021 · 77 citations · Full text

Population Health Sciences, Computational Epidemiology, Covid-19 Epidemiology +24

DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting

Alexander Rodríguez, Anika Tabassum, Jiaming Cui et al. · 2020 · 62 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +20

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