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BrainInsights: a comprehensive framework for pre-processing, analysis, and interpretation of neuroimaging data using traditional statistics and machine learning. [PDF]

Front Neuroinform
Selvakumar M, Mendez Torrijos A, Konerth LC, Horndasch S, Atreya R, Doerfler A, Schett G, Rech J, Hess A.   +8 more
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The application of supervised machine learning to predict group- and individual-level lapse risk in smokers attempting to stop with a popular smartphone app: An exploratory study

Ken Li, Olga Perski, Jamie Brown, Nikolas Pontikos, David Crane, Felix Naughton   +5 more
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Machine Learning: A New Approach for Dose Individualization

Clinical Pharmacology & Therapeutics, 2023
The application of machine learning (ML) has shown promising results in precision medicine due to its exceptional performance in dealing with complex multidimensional data. However, using ML for individualized dosing of medicines is still in its early stage, meriting further exploration.
Qiu‐Yue Li, Bo‐Hao Tang, Yue‐E Wu, Bu‐Fan Yao, Wei Zhang, Yi Zheng, Yue Zhou, John van den Anker, Guo‐Xiang Hao, Wei Zhao   +9 more
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Machine dating of manuscripts written by an individual

Journal of Electronic Imaging, 2008
We present a pioneering study on machine dating of manuscripts written by an individual. Analysis of handwriting style forms the core of the proposed method. A general framework is presented for automatic time stamping of handwritten manuscripts. Initially, it is hypothesized that a manuscript can be dated, to a certain level of accuracy, by looking at
Utpal Garain, Swapan K. Parui, Thierry Paquet, Laurent Heutte   +3 more
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MACHINES, INTELLIGENCE, AND INDIVIDUALITY

Perceptual and Motor Skills, 1991
For a machine to be considered intelligent it should have the capacity to monitor both its environment and also its own processing activities. The question is raised as to whether such a machine would then be useful as a tool.
openaire   +1 more source