Episode 8 - Artificial Intelligence and Behaviour Analysis with Marc Lanovaz, Ph.D., BCBA-D
Description
In this episode Ben chats with researcher Marc Lanovaz about the exciting world of machine learning and AI as it applies to the work of behaviour analysts.
Continuing Education Units (CEUs): https://cbiconsultants.com/shop
Marc’s Upcoming Workshop (April 30, 2021): https://www.eventbrite.ca/e/introduction-to-machine-learning-for-behavior-analysts-6-ceus-registration-139441708905
Articles Referenced In This Episode:
Lanovaz, M. J., Giannakakos, A. R., & Destras, O. (2020). Machine learning to analyze single-case data: A proof of concept. Perspectives on Behavior Science, 43, 21-38.
Lanovaz, M. J. & Hranchuk, K. (2021). Machine learning to analyze single case graphs: A comparison to visual inspection. (in press).
Lanovaz, M. J. & Bailey, J. (2021). Tutorial: Artificial neural networks and deep learning to analyze single case designs. (in press).
Bailey, J., Baker, J. C., Rzeszutek, M. J., & Lanovaz, M. J. (2021). Machine learning for supplementing behavioral assessment. Perspectives on Behavior Science. (online issue).
Dufour, M. M., Lanovaz, M. J., & Cardinal, P. (2020). Artificial intelligence for the measurement of stereotypy. Journal of the Experimental Analysis of Behavior, 114, 368-380.
Fisher, W. W., Kelley, M. E. & Lomas, J. E. (2003). Visual aids and structured criteria for improving visual inspection and interpretation of single-case designs. Journal of Applied Behavior Analysis, 36(3), 387-406.
Hagopian, L. P. , Fisher, W. W., Thompson, R. H., Owen-DeSchryvier, J., Iwata, B. A., & Wacker, D. P. (1997). Toward the development of structured criteria for interpretation of functional analysis data. Journal of Applied Behavior Analysis, 30(2), 313-326.
Turgeon, S. & Lanovaz, M. J. (2020). Tutorial: Applying machine learning in behavioral research. Perspectives on Behavior Science, 43(44), 697-723.
Github: https://github.com
Open Source Framework: https://osf.io
Marc Lanovaz’s Lab: https://lanovazlab.com