AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Behavior

Showing 51 to 60 of 61 articles

Clear Filters

The effect of behavioral preferences on skill acquisition in determining unspecified, suitable action patterns to control humanoid robots.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This research investigated the effect of behavioral preferences on learning efficiency when attempting to determine unspecified, but suitable action sequences for unfamiliar tasks. The goal of this research was to develop a skill acquisition support ...

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset.

PloS one
For years, we have relied on population surveys to keep track of regional public health statistics, including the prevalence of non-communicable diseases. Because of the cost and limitations of such surveys, we often do not have the up-to-date data o...

Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network.

Computational intelligence and neuroscience
In IaaS (infrastructure as a service) cloud environment, users are provisioned with virtual machines (VMs). To allocate resources for users dynamically and effectively, accurate resource demands predicting is essential. For this purpose, this paper p...

Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior.

Neural networks : the official journal of the International Neural Network Society
It is a fundamental question how our brain performs a given motor task in a real-time fashion with the slow sensorimotor system. Computational theory proposed an influential idea of feed-forward control, but it has mainly treated the case that the mo...

Novel plasticity rule can explain the development of sensorimotor intelligence.

Proceedings of the National Academy of Sciences of the United States of America
Grounding autonomous behavior in the nervous system is a fundamental challenge for neuroscience. In particular, self-organized behavioral development provides more questions than answers. Are there special functional units for curiosity, motivation, ...

Multi-Camera Saliency.

IEEE transactions on pattern analysis and machine intelligence
A significant body of literature on saliency modeling predicts where humans look in a single image or video. Besides the scientific goal of understanding how information is fused from multiple visual sources to identify regions of interest in a holis...

Behavioral plasticity through the modulation of switch neurons.

Neural networks : the official journal of the International Neural Network Society
A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by utilizing artificial neural ...

Perceptual discrimination in fear generalization: Mechanistic and clinical implications.

Neuroscience and biobehavioral reviews
For almost a century, Pavlovian conditioning is the imperative experimental paradigm to investigate the development and generalization of fear. However, despite the rich research tradition, the conceptualization of fear generalization has remained so...