Browsing Faculté des arts et des sciences – École de psychoéducation – Travaux et publications by Subject "Artificial intelligence"

Now showing items 1-6 of 6

  • Agreement between visual inspection and objective analysis methods : a replication and extension 

    Taylor, Tessa; Lanovaz, Marc (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 ...

  • Artificial intelligence for the measurement of vocal stereotypy 

    Dufour, Marie-Michèle; Lanovaz, Marc; Cardinal, Patrick (Wiley, 2020-11-03)
    Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of ...

  • Machine learning to analyze single-case data : a proof of concept 

    Lanovaz, Marc; Giannakakos, Antonia R.; Destras, Océane (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 

    Taylor, Tessa; Lanovaz, Marc (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 ...

  • Tutorial : applying machine learning in behavioral research 

    Turgeon, Stéphanie; Lanovaz, Marc (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 

    Lanovaz, Marc; Bailey, Jordan D. (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, ...