Anika Tabassum
3 papers · 2021–2024 · 1 venue · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(3)
Application Areas
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Reinforcement Learning
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
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 data
(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
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
AAAI 2021
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
AAAI 2021