Marc J. Lanovaz
YOU?
Author Swipe
View article: Machine Learning to Detect Vocal Stereotypy: Improving Duration-Based Measures
Machine Learning to Detect Vocal Stereotypy: Improving Duration-Based Measures Open
Direct observation is a process central to behavior science, but its implementation may be challenging in some contexts (e.g., classrooms, homes). One potential solution to improve the feasibility of conducting behavioral observation and m…
View article: On the External Validity of Single-Case Designs: A Bayesian Approach
On the External Validity of Single-Case Designs: A Bayesian Approach Open
When selecting interventions for students or clients, practitioners typically need to estimate the probability that it will lead to socially significant changes in behavior. One potential solution to address this issue involves computing t…
View article: Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept
Machine learning to detect schedules using spatiotemporal data of behavior: A proof of concept Open
Traditionally, the experimental analysis of behavior has relied on the single discrete response paradigm (e.g., key pecks, lever presses, screen clicks) to identify behavioral patterns. However, the development and availability of new tech…
View article: Establishing Discriminative Repertoires in the Evolutionary Theory of Behavior Dynamics: Preliminary Outcomes and Future Directions
Establishing Discriminative Repertoires in the Evolutionary Theory of Behavior Dynamics: Preliminary Outcomes and Future Directions Open
The Evolutionary Theory of Behavior Dynamics (ETBD) has garnered significant empirical support in producing artificial organisms that engage in behavior patterns that have striking similarities to those of living organisms. However, the al…
View article: Machine Learning to Detect Vocal Stereotypy: Improving Duration-Based Measures
Machine Learning to Detect Vocal Stereotypy: Improving Duration-Based Measures Open
Direct observation is a process central to behavior science, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may increase the cost of providing services and conducting research.…
View article: Towards the Development of Explainable Machine Learning Models to Recognize the Faces of Autistic Children
Towards the Development of Explainable Machine Learning Models to Recognize the Faces of Autistic Children Open
Machine learning with image classification has shown promise in supporting the detection ofautism in children, but the development of explainable models is still lacking. Thus, our studycompared the use of two algorithms to explain why fac…
View article: The Family Game to support parents with intellectual disability in managing challenging behaviours: A replication
The Family Game to support parents with intellectual disability in managing challenging behaviours: A replication Open
Background Although many parents with intellectual disability (ID) demonstrate good parenting practices, some parents experience difficulties in managing challenging behaviours. One potential solution to this issue involves using The Famil…
View article: Brief Report: Virtual Reality to Raise Awareness About Autism
Brief Report: Virtual Reality to Raise Awareness About Autism Open
View article: Machine Learning to Detect Schedules Using Spatiotemporal Data of Behavior: A Proof of Concept
Machine Learning to Detect Schedules Using Spatiotemporal Data of Behavior: A Proof of Concept Open
Traditionally, the experimental analysis of behavior has relied on the single discrete response paradigm (e.g., key pecks, lever presses, screen clicks) to identify behavioral patterns. However, the development and availability of new tech…
View article: Assessing Growth of BACB Certificants (1999–2019)
Assessing Growth of BACB Certificants (1999–2019) Open
View article: Virtual Reality to Raise Awareness About Autism: A Randomized Controlled Trial
Virtual Reality to Raise Awareness About Autism: A Randomized Controlled Trial Open
Due to the unusual nature of some of their behaviors, autistic individuals often face stigmatization in their daily lives. These stigmatizing attitudes can create barriers involving treatment, social inclusion, and access to health service…
View article: Does Early Intensive Behavioural Intervention Improve the Social Skills of Children with Autism? An Exploratory Study
Does Early Intensive Behavioural Intervention Improve the Social Skills of Children with Autism? An Exploratory Study Open
The development of appropriate social skills is critical for all children in establishing relationships and being able to successfully participate in their communities. Children with Autism Spectrum Disorder (ASD), however, have pronou…
View article: Agreement between visual inspection and objective analysis methods: A replication and extension
Agreement between visual inspection and objective analysis methods: A replication and extension Open
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…
View article: Waiting for baseline stability in single-case designs: Is it worth the time and effort?
Waiting for baseline stability in single-case designs: Is it worth the time and effort? Open
View article: Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis
Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis Open
Researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of technology i…
View article: Évaluation fonctionnelle du comportement en psychoéducation : validité convergente de l’analyse fonctionnelle avec les analyses descriptive et indirecte
Évaluation fonctionnelle du comportement en psychoéducation : validité convergente de l’analyse fonctionnelle avec les analyses descriptive et indirecte Open
L’évaluation fonctionnelle du comportement et la sélection d’une intervention fonctionnelle font partie des meilleures pratiques pour réduire les comportements problématiques. Toutefois, peu d’études ont examiné les habiletés des psychoédu…
View article: Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis
Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis Open
Currently, researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of t…
View article: Monte Carlo Simulations to Develop Guidelines for the Use of Single-Case Designs: A Tutorial
Monte Carlo Simulations to Develop Guidelines for the Use of Single-Case Designs: A Tutorial Open
Despite being a cornerstone of the science of behavior analysis, researchers and practitioners often rely on tradition and consensus-based guidelines, rather than empirical evidence, to make decisions about single-case designs. One approac…
View article: Machine Learning to Support Visual Inspection of Data: A Clinical Application
Machine Learning to Support Visual Inspection of Data: A Clinical Application Open
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 …
View article: Changes in Autistic Symptoms and Adaptive Functioning of Children Receiving Early Behavioral Intervention in a Community Setting: A Latent Growth Curve Analysis
Changes in Autistic Symptoms and Adaptive Functioning of Children Receiving Early Behavioral Intervention in a Community Setting: A Latent Growth Curve Analysis Open
Despite showing robust effects in well-controlled studies, the extent to which early intensive behavioral intervention produces positive changes in naturalistic, community-based settings remains uncertain. Thus, our study examined changes …
View article: Waiting for Baseline Stability in Single-Case Designs: Is It Worth the Time and Effort?
Waiting for Baseline Stability in Single-Case Designs: Is It Worth the Time and Effort? Open
Researchers and practitioners often use single-case designs (SCDs), or n-of-1 trials, to develop and validate novel treatments. Standards and guidelines have been published to provide guidance as to how to implement SCDs, but many of their…
View article: Machine learning to analyze single‐case graphs: A comparison to visual inspection
Machine learning to analyze single‐case graphs: A comparison to visual inspection Open
Behavior analysts commonly use visual inspection to analyze single‐case graphs, but studies on its reliability have produced mixed results. To examine this issue, we compared the Type I error rate and power of visual inspection with a nove…
View article: Using the Prevent-Teach-Reinforce model to reduce challenging behaviors in children with autism spectrum disorder in home settings: A feasibility study
Using the Prevent-Teach-Reinforce model to reduce challenging behaviors in children with autism spectrum disorder in home settings: A feasibility study Open
View article: Correction to: Machine Learning to Analyze Single-Case Data: A Proof of Concept
Correction to: Machine Learning to Analyze Single-Case Data: A Proof of Concept Open
View article: Machine Learning to Analyze Single-Case Graphs: A Comparison to Visual Inspection
Machine Learning to Analyze Single-Case Graphs: A Comparison to Visual Inspection Open
Behavior analysts commonly use visual inspection to analyze single-case graphs, but studies on its reliability have produced mixed results. To examine this issue, we compared the Type I error rate and power of visual inspection with a nove…
View article: Machine Learning for Supplementing Behavioral Assessment
Machine Learning for Supplementing Behavioral Assessment Open
View article: Perceptions of Behavior Analysis in La Francophonie: Accuracy and Tone of Posts in an Internet Forum on Autism
Perceptions of Behavior Analysis in La Francophonie: Accuracy and Tone of Posts in an Internet Forum on Autism Open
Applied behavior analysis (ABA) remains highly contested and under-utilized in many countries for the treatment of individuals with autism. One country where ABA remains particularly difficult to access is France. One potential problem is …
View article: Tutorial: Artificial Neural Networks to Analyze Single-Case Experimental Designs
Tutorial: Artificial Neural Networks to Analyze Single-Case Experimental Designs Open
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 resear…
View article: Tutorial: Applying Machine Learning in Behavioral Research
Tutorial: Applying Machine Learning in Behavioral Research Open
View article: Artificial intelligence for the measurement of vocal stereotypy
Artificial intelligence for the measurement of vocal stereotypy Open
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…