Episode 8: Artificial Intelligence and Behaviour Analysis with Dr. Marc Lanovaz, Ph.D., BCBA-D episode artwork

EPISODE · Apr 21, 2021 · 1H 28M

Episode 8: Artificial Intelligence and Behaviour Analysis with Dr. Marc Lanovaz, Ph.D., BCBA-D

from Behaviour Speak with Ben Reiman · host Ben Reiman, M.A., BCBA

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 BACB: 1.5 Learning IBAO: 1.5 Learning QABA: 1.5 General   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

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 BACB: 1.5 Learning IBAO: 1.5 Learning QABA: 1.5 General   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

NOW PLAYING

Episode 8: Artificial Intelligence and Behaviour Analysis with Dr. Marc Lanovaz, Ph.D., BCBA-D

0:00 1:28:15

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

MG Show MG Show The MG Show, hosted by Jeffrey Pedersen and Shannon Townsend, is a leading alternative media platform dedicated to uncovering the truth behind today’s most pressing political issues. Launched in 2019, the show has grown exponentially, offering unfiltered insights, comprehensive research, and real-time analysis. With a commitment to independent journalism and factual integrity, the MG Show empowers its audience with knowledge and encourages active participation in the political discourse. French Your Way Jessica: Native French teacher founder of French Your Way Boost your French listening skills and test your comprehension with this one of a kind series of podcasts. Get the chance to listen to a real conversation between native speakers talking at normal speed AND customise your learning experience through carefully designed sets of questions (2 levels of difficulty) available for download at www.frenchvoicespodcast.com. All interviews also come with the transcript. French teacher Jessica interviews native speakers of French from around the world who share a bit of their life and passion. Where else would you meet in one same place a French yoga teacher based in Melbourne, a soap manufacturer from Provence, or a couple cycling around the world? That Hoarder: Overcome Compulsive Hoarding That Hoarder Hoarding disorder is stigmatised and people who hoard feel vast amounts of shame. This podcast began life as an audio diary, an anonymous outlet for somebody with this weird condition. That Hoarder speaks about her experiences living with compulsive hoarding, she interviews therapists, academics, researchers, children of hoarders, professional organisers and influencers, and she shares insight and tips for others with the problem. Listened to by people who hoard as well as those who love them and those who work with them, Overcome Compulsive Hoarding with That Hoarder aims to shatter the stigma, share the truth and speak openly and honestly to improve lives. The Small Business Startup School – Business Notes | Financial Literacy | Retail Psychology – For Professionals & Entrepreneurs The Small Business Startup School Inc. Starting or buying a small business? While personal circumstances may vary, business patterns remain timeless. On The Small Business Startup School, we explore strategies, insights, and practical solutions to help entrepreneurs confidently navigate their journey.Hosted by Ola Williams—a retail entrepreneur, fintech founder, and financial coach with over two decades of experience—this podcast marries financial awareness and retail psychology with optimism to deliver actionable takeaways.Join us to learn, grow, and connect as we uncover the keys to business success.Let’s continue to learn together and be encouraged to keep on connecting!

Frequently Asked Questions

How long is this episode of Behaviour Speak with Ben Reiman?

This episode is 1 hour and 28 minutes long.

When was this Behaviour Speak with Ben Reiman episode published?

This episode was published on April 21, 2021.

What is this episode about?

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 BACB: 1.5 Learning IBAO:...

Can I download this Behaviour Speak with Ben Reiman episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!