An early warning indicator trained on stochastic disease-spreading models with different noises. - Amit K. Chakraborty; Shan Gao; Reza Miry; Pouria Ramazi; Russell Greiner; Mark A. Lewis; Hao Wang 027 (CoRR, 2024)

Early detection of disease outbreaks and non-outbreaks using incidence data. - Shan Gao; Amit K. Chakraborty; Russell Greiner; Mark A. Lewis; Hao Wang 027 (CoRR, 2024)

Methane projections from Canada's oil sands tailings using scientific deep learning reveal significant underestimation. - Esha Saha; Oscar Wang; Amit K. Chakraborty; Pablo Venegas Garcia; Russell Milne; Hao Wang (CoRR, 2024)

From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models. - Amit K. Chakraborty; Hao Wang 027; Pouria Ramazi (J. Comput. Biol., 2024)

Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning. - Shan Gao; Amit K. Chakraborty; Russell Greiner; Mark A. Lewis; Hao Wang 027 (PLoS Comput. Biol., 2025)

Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations. - Reza Miry; Amit K. Chakraborty; Russell Greiner; Mark A. Lewis; Hao Wang 027; Tianyu Guan; Pouria Ramazi (CoRR, 2025)