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1. Confidence-Aware Attention Calibration (CAAC) to mitigate hallucinations in Large Vision-Language Models

   Python 3

2. COVID-19 forecasting using Deep Learning. Two convolution-based and transformer-based DL architectures were applied to daily COVID-19 incidence data as well as wastewater viral load and socio-econo…

   Jupyter Notebook 4 1

3. Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of users.

   Python 33 6

4. Forked from Shakeri-Lab/COVID-SEIR

   A stochastic epidemiological model that supplements the conventional reported cases with pooled samples from wastewater for assessing the overall SARS-CoV-2 burden at the community level.

   R 1