AIMC Topic: Machine Learning

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Automated Item Generation with Recurrent Neural Networks.

Psychometrika
Utilizing technology for automated item generation is not a new idea. However, test items used in commercial testing programs or in research are still predominantly written by humans, in most cases by content experts or professional item writers. Hum...

Training replicable predictors in multiple studies.

Proceedings of the National Academy of Sciences of the United States of America
This article considers replicability of the performance of predictors across studies. We suggest a general approach to investigating this issue, based on ensembles of prediction models trained on different studies. We quantify how the common practice...

Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool.

Systematic reviews
BACKGROUND: Machine learning tools can expedite systematic review (SR) processes by semi-automating citation screening. Abstrackr semi-automates citation screening by predicting relevant records. We evaluated its performance for four screening projec...

Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

Health services research
OBJECTIVE: To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending.

Rest tremor quantification based on fuzzy inference systems and wearable sensors.

International journal of medical informatics
BACKGROUND: Currently the most consistent, widely accepted and detailed instrument to rate Parkinson's disease (PD) is the Movement Disorder Society sponsored Unified Parkinson Disease Rating Scale (MDS-UPDRS). However, the motor examination is based...

Social Robotics in Therapy of Apraxia of Speech.

Journal of healthcare engineering
Apraxia of speech is a motor speech disorder in which messages from the brain to the mouth are disrupted, resulting in an inability for moving lips or tongue to the right place to pronounce sounds correctly. Current therapies for this condition invol...

Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller.

Neural networks : the official journal of the International Neural Network Society
The paper is concerned with the synchronization problem of inertial memristive neural networks with time-varying delay. First, by choosing a proper variable substitution, inertial memristive neural networks described by second-order differential equa...

Using machine learning to disentangle homonyms in large text corpora.

Conservation biology : the journal of the Society for Conservation Biology
Systematic reviews are an increasingly popular decision-making tool that provides an unbiased summary of evidence to support conservation action. These reviews bridge the gap between researchers and managers by presenting a comprehensive overview of ...