Amit K. Chakraborty

According to our database, Amit K. Chakraborty authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Turning mechanistic models into forecasters by using machine learning.

Amit K. Chakraborty, Hao Wang, Pouria Ramazi

CoRR, February, 2026

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, Tianyu Guan, Pouria Ramazi

CoRR, January, 2025

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

PLoS Comput. Biol., 2025

2024

From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.

Amit K. Chakraborty, Hao Wang, Pouria Ramazi

J. Comput. Biol., 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

Early detection of disease outbreaks and non-outbreaks using incidence data.

Shan Gao, Amit K. Chakraborty, Russell Greiner, Mark A. Lewis, Hao Wang

CoRR, 2024

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

CoRR, 2024