1 code implementation • 24 Mar 2024 • Amit K. Chakraborty, Shan Gao, Reza Miry, Pouria Ramazi, Russell Greiner, Mark A. Lewis, Hao Wang
The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies.
no code implementations • 7 Feb 2024 • Julia S. Schmid, Sean Simmons, Mark A. Lewis, Mark S. Poesch, Pouria Ramazi
Prediction of angler behaviors, such as catch rates and angler pressure, is essential to maintaining fish populations and ensuring angler satisfaction.
no code implementations • 6 Nov 2023 • Farinaz Alamiyan-Harandi, Pouria Ramazi
To promote cooperation and strengthen the individual impact on the collective outcome in social dilemmas, we propose the Environmental-impact Multi-Agent Reinforcement Learning (EMuReL) method where each agent estimates the "environmental impact" of every other agent, that is, the difference in the current environment state compared to the hypothetical environment in the absence of that other agent.
no code implementations • 6 Nov 2023 • Farinaz Alamiyan-Harandi, Mersad Hassanjani, Pouria Ramazi
Experimental results in the Cleanup and Harvest environments show that training based on the KindMARL method enabled the agents to earn 89\% (resp.
no code implementations • 3 Nov 2023 • Azadeh Aghaeeyan, Pouria Ramazi
This implies that the reported perpetual fluctuations in the finite discrete dynamics of coordinators and anticoordinators do not scale as the population size do.
no code implementations • 5 Jun 2023 • Zahra Gholamalian, Zeinab Maleki, MasoudReza Hashemi, Pouria Ramazi
Determining the infection status of individuals using sparse group-level tests remains an open problem.
no code implementations • 19 Apr 2023 • Azadeh Aghaeeyan, Pouria Ramazi, Mark A. Lewis
Efficient coverage for newly developed vaccines requires knowing which groups of individuals will accept the vaccine immediately and which will take longer to accept or never accept.
no code implementations • 9 Feb 2023 • Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner
Here, we propose two new methods to model the number of people infected with COVID-19 over time, each as a linear combination of latent sub-populations -- i. e., when we do not know which person is in which sub-population, and the only available observations are the aggregates across all sub-populations.
no code implementations • 15 Jan 2022 • Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis
Recently, we created a method in forecasting the daily number of confirmed cases of infectious diseases by combining a mechanistic ordinary differential equation (ODE) model for infectious classes and a generalized boosting machine learning model (GBM) for predicting how public health policies and mobility data affect the transmission rate in the ODE model [WWR+].
no code implementations • 8 Dec 2021 • Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis
Typically, a hypothesis is made on the form of the transmission rate with respect to time.
1 code implementation • 29 May 2021 • Samuel M. Fischer, Pouria Ramazi, Sean Simmons, Mark S. Poesch, Mark A. Lewis
The results indicate that anglers' local preferences and their tendency to revisit previous destinations reduce the number of long inter-waterbody trips potentially dispersing whirling disease.
no code implementations • 4 Jun 2020 • Yiheng Fu, Pouria Ramazi
Decision-making individuals often imitate their highest-earning fellows rather than optimize their own utilities, due to bounded rationality and incomplete information.