AIMC Topic: Game Theory
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A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images.
Journal of X-ray science and technology
Jan 1, 2024
Retinal disorders pose a serious threat to world healthcare because they frequently result in visual loss or impairment. For retinal disorders to be diagnosed precisely, treated individually, and detected early, deep learning is a necessary subset of...
Application of Cooperative Game Theory Principles to Interpret Machine Learning Models of Nonhome Discharge Following Spine Surgery.
Spine
Jun 15, 2021
STUDY DESIGN: Retrospective analysis of prospectively acquired data.
Drivers of Prolonged Hospitalization Following Spine Surgery: A Game-Theory-Based Approach to Explaining Machine Learning Models.
The Journal of bone and joint surgery. American volume
Jan 6, 2021
BACKGROUND: Understanding the interactions between variables that predict prolonged hospital length of stay (LOS) following spine surgery can help uncover drivers of this risk in patients. This study utilized a novel game-theory-based approach to dev...
Deep learning on chaos game representation for proteins.
Bioinformatics (Oxford, England)
Jan 1, 2020
MOTIVATION: Classification of protein sequences is one big task in bioinformatics and has many applications. Different machine learning methods exist and are applied on these problems, such as support vector machines (SVM), random forests (RF) and ne...
Cultural Transmission and Evolution of Melodic Structures in Multi-generational Signaling Games.
Artificial life
Jan 1, 2017
It has been proposed that languages evolve by adapting to the perceptual and cognitive constraints of the human brain, developing, in the course of cultural transmission, structural regularities that maximize or optimize learnability and ease of proc...
Evolutionary game dynamics of controlled and automatic decision-making.
Chaos (Woodbury, N.Y.)
Jul 1, 2015
We integrate dual-process theories of human cognition with evolutionary game theory to study the evolution of automatic and controlled decision-making processes. We introduce a model in which agents who make decisions using either automatic or contro...
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