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Marc J Lanovaz

Showing results (1-10 of 46) with videos related to

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Research in Developmental Disabilities|January 18, 2011
Towards a comprehensive model of stereotypy: integrating operant and neurobiological interpretationsMarc J Lanovaz
Perspectives on Behavior Science|April 5, 2022
Some Characteristics and Arguments in Favor of a Science of Machine Behavior AnalysisMarc J Lanovaz
Behavior Research Methods|April 26, 2022
Waiting for baseline stability in single-case designs: Is it worth the time and effort?Marc J Lanovaz, Rachel Primiani
Journal of Applied Behavior Analysis|April 28, 2022
Agreement between visual inspection and objective analysis methods: A replication and extensionTessa Taylor, Marc J Lanovaz
Perspectives on Behavior Science|October 7, 2020
How Many Tiers Do We Need? Type I Errors and Power in Multiple Baseline DesignsMarc J Lanovaz, Stéphanie Turgeon
Behavior Modification|August 12, 2021
Machine Learning to Support Visual Inspection of Data: A Clinical ApplicationTessa Taylor, Marc J Lanovaz
Perspectives on Behavior Science|December 31, 2020
Tutorial: Applying Machine Learning in Behavioral ResearchStéphanie Turgeon, Marc J Lanovaz
Journal of Applied Behavior Analysis|July 15, 2021
Machine learning to analyze single-case graphs: A comparison to visual inspectionMarc J Lanovaz, Kieva Hranchuk
Behavior Modification|July 16, 2019
Using AB Designs With Nonoverlap Effect Size Measures to Support Clinical Decision-Making: A Monte Carlo ValidationAntonia R Giannakakos, Marc J Lanovaz
Journal of Applied Behavior Analysis|April 23, 2020
Increasing compliance with wearing a medical device in children with autismMarie-Michèle Dufour, Marc J Lanovaz
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Research in Developmental Disabilities|January 18, 2011
Towards a comprehensive model of stereotypy: integrating operant and neurobiological interpretationsMarc J Lanovaz
Perspectives on Behavior Science|April 5, 2022
Some Characteristics and Arguments in Favor of a Science of Machine Behavior AnalysisMarc J Lanovaz
Behavior Research Methods|April 26, 2022
Waiting for baseline stability in single-case designs: Is it worth the time and effort?Marc J Lanovaz, Rachel Primiani
Journal of Applied Behavior Analysis|April 28, 2022
Agreement between visual inspection and objective analysis methods: A replication and extensionTessa Taylor, Marc J Lanovaz
Perspectives on Behavior Science|October 7, 2020
How Many Tiers Do We Need? Type I Errors and Power in Multiple Baseline DesignsMarc J Lanovaz, Stéphanie Turgeon
Behavior Modification|August 12, 2021
Machine Learning to Support Visual Inspection of Data: A Clinical ApplicationTessa Taylor, Marc J Lanovaz
Perspectives on Behavior Science|December 31, 2020
Tutorial: Applying Machine Learning in Behavioral ResearchStéphanie Turgeon, Marc J Lanovaz
Journal of Applied Behavior Analysis|July 15, 2021
Machine learning to analyze single-case graphs: A comparison to visual inspectionMarc J Lanovaz, Kieva Hranchuk
Behavior Modification|July 16, 2019
Using AB Designs With Nonoverlap Effect Size Measures to Support Clinical Decision-Making: A Monte Carlo ValidationAntonia R Giannakakos, Marc J Lanovaz
Journal of Applied Behavior Analysis|April 23, 2020
Increasing compliance with wearing a medical device in children with autismMarie-Michèle Dufour, Marc J Lanovaz
Pageof 5