Anika Tabassum
3 papers · 2021–2024 · 1 conference · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AAAI (3)
Top co-authors
Keywords
model compression
(1)
representation learning
(1)
reinforcement learning
(1)
semantic segmentation
(1)
image segmentation
(1)
transfer learning
(1)
uncertainty quantification
(1)
deep learning
(1)
efficient computing
(1)
computational efficiency
(1)
time series
(1)
time series forecasting
(1)
real-time prediction
(1)
heterogeneous datum
(1)
epidemiological modeling
(1)
disease forecasting
(1)
influenza forecasting
(1)
neural network
(1)
pandemic forecasting
(1)
neural transfer learning
(1)
Papers
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
AAAI 2024
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
AAAI 2021
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
AAAI 2021