AI Medical Compendium Topic

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Competitive Behavior

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Even good bots fight: The case of Wikipedia.

PloS one
In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communitie...

IHMC's experience competing in the Cybathlon compared to the DARPA robotics challenge.

Journal of neuroengineering and rehabilitation
BACKGROUND: As a research scientist, my work tends to focus on scientific investigations. Our group occasionally makes discoveries or has a successful demonstration, and sometimes we can even repeatedly demonstrate something working on the hardware. ...

Artificial neural networks and player recruitment in professional soccer.

PloS one
The aim was to objectively identify key performance indicators in professional soccer that influence outfield players' league status using an artificial neural network. Mean technical performance data were collected from 966 outfield players' (mean S...

Predicting biathlon shooting performance using machine learning.

Journal of sports sciences
Shooting in biathlon competitions substantially influences final rankings, but the predictability of hits and misses is unknown. The aims of the current study were A) to explore factors influencing biathlon shooting performance and B) to predict futu...

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

IEEE transactions on cybernetics
Hidden Markov models (HMMs) underpin the solution to many problems in computational neuroscience. However, it is still unclear how to implement inference of HMMs with a network of neurons in the brain. The existing methods suffer from the problem of ...

A rule induction framework for the determination of representative learning design in skilled performance.

Journal of sports sciences
Representative learning design provides a framework for the extent to which practice simulates key elements of a performance setting. Improving both the measurement and analysis of representative learning design would allow for the refinement of spor...

A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis.

Journal of sports sciences
The purpose of this study was to develop an automated method for identifying and classifying change of direction (COD) movements in professional tennis using tracking data. Three sport science and strength and conditioning experts coded match-play fo...

Identifying playing talent in professional football using artificial neural networks.

Journal of sports sciences
The aim of the current study was to objectively identify position-specific key performance indicators in professional football that predict out-field players league status. The sample consisted of 966 out-field players who completed the full 90 minut...