ArticlePerspectives on behavior science2020
Tutorial: Applying Machine Learning in Behavioral Research.
Article in Perspectives on behavior science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- A tutorial for software options to aid in assessing functional relations in single-case experimental designs.Behavior research methods · 2026Article
- A Machine Learning Pipeline for Automated Bolus Segmentation and Area Measurement in Swallowing Videofluoroscopy Images of an Infant Pig Model.Dysphagia · 2025Article
- Using machine learning to predict persecutory beliefs based on aetiological models of delusions identified in a systematic literature search.Communications psychology · 2025Article
- Ethical Behavior Analysis in the Age of Artificial Intelligence (AI): The Importance of Understanding Model Building while Formal AI Literacy Curricula are Developed.Perspectives on behavior science · 2025Article
- Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept.Journal of the experimental analysis of behavior · 2025Article
- The Development of a Behavior Plan Quality Assurance Instrument in a Publicly Funded System of Care.Behavior analysis in practice · 2025Article
- On the Prospective Application of Behavioral Momentum Theory and Resurgence as Choice in the Treatment of Problem Behavior: A Brief Review.Behavioral sciences (Basel, Switzerland) · 2025Review
- A Hybrid Deep Learning-Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study.JMIR bioinformatics and biotechnology · 2025Article
- Perceptions of Machine Learning among Therapists Practicing Applied Behavior Analysis: A National Survey.Behavior analysis in practice · 2024Article
- Brief Report: Machine Learning for Estimating Prognosis of Children with Autism Receiving Early Behavioral Intervention-A Proof of Concept.Journal of autism and developmental disorders · 2024Article
- Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis.Behavior analysis in practice · 2024Review
- Lexicon-Based Sentiment Analysis in Behavioral Research.Perspectives on behavior science · 2024Article
- The Promises and Possibilities of Artificial Intelligence in the Delivery of Behavior Analytic Services.Behavior analysis in practice · 2024Review
- Mobile sensing to advance tumor modeling in cancer patients: A conceptual framework.Internet interventions · 2023Article
- Validating a Computerized Program for Supporting Visual Analysis During Functional Analysis: The Problem Behavior Multilevel Interpreter (PB.MI).Behavior analysis in practice · 2022Article
- Machine learning with a snapshot of data: Spiking neural network 'predicts' reinforcement histories of pigeons' choice behavior.Journal of the experimental analysis of behavior · 2022Article
- Machine learning to analyze single-case graphs: A comparison to visual inspection.Journal of applied behavior analysis · 2021Article
- Beyond Single Discrete Responses: An Integrative and Multidimensional Analysis of Behavioral Dynamics Assisted by Machine Learning.Frontiers in behavioral neuroscience · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 improve the application of the science to problems of applied significance. One potential explanation for the scarcity of research is that machine learning is not typically taught as part of training programs in behavior analysis. This tutorial aims to address this barrier by promoting increased research using machine learning in behavior analysis. We present how to apply the random forest, support vector machine, stochastic gradient descent, and k-nearest neighbors algorithms on a small dataset to better identify parents of children with autism who would benefit from a behavior analytic interactive web training. These step-by-step applications should allow researchers to implement machine-learning algorithms with novel research questions and datasets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.