Parcourir Faculté des arts et des sciences – École de psychoéducation – Travaux et publications par sujet "Machine learning"
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Agreement between visual inspection and objective analysis methods : a replication and extension
(Wiley, 2022-04-27)Behavior analysts typically rely on visual inspection of single-case experimental designs to make treatment decisions. However, visual inspection is subjective, which has led to the development of supplemental objective methods such as the conservative ... -
Brief report : machine learning for estimating prognosis of children with autism receiving early behavioral intervention : a proof of concept
(Springer, 2022-06-28)Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the ... -
Machine learning to analyze single-case data : a proof of concept
(Springer, 2020)Visual analysis is the most commonly used method for interpreting data from singlecase designs, but levels of interrater agreement remain a concern. Although structured aids to visual analysis such as the dual-criteria (DC) method may increase ... -
Machine learning to support visual inspection of data : a clinical application
(SAGE, 2021-08-12)Practitioners in pediatric feeding programs often rely on single-case experimental designs and visual inspection to make treatment decisions (e.g., whether to change or keep a treatment in place). However, researchers have shown that this practice ... -
Screening for psychological distress in healthcare workers using machine learning : a proof of concept
(Springer, 2023-11-16)The purpose of this study was to train and test preliminary models using two machine learning algorithms to identify healthcare workers at risk of developing anxiety, depression, and post-traumatic stress disorder. The study included data from a ... -
Some characteristics and arguments in favor of a science of machine behavior analysis
(Springer, 2022-03-31)Researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of technology in every sphere ... -
Tutorial : applying machine learning in behavioral research
(Springer, 2020-11-10)Machine-learning algorithms hold promise for revolutionizing how educators and clinicians make decisions. However, researchers in behavior analysis have been slow to adopt this methodology to further develop their understanding of human behavior and ... -
Tutorial : artificial neural networks to analyze single-case experimental designs
(American Psychological Association, 2022-07-07)Since the start of the 21st century, few advances have had as far-reaching impact in science as the widespread adoption of artificial neural networks in fields as diverse as fundamental physics, clinical medicine, and psychology. In research methods, ... -
Waiting for baseline stability in single-case designs : is it worth the time and effort?
(Springer, 2022-04-25)Researchers and practitioners often use single-case designs (SCDs), or n-of-1 trials, to develop and validate novel treatments. Standards and guidelines have been published to provide guidance as to how to implement SCDs, but many of their recommendations ...