We highlight the average length of videos (all participants, only participants with ASD, and only participants without ASD) as well as the average time required to watch and score the videos and the average time required from start to end of the scoring component alone.</p
The ability to analyze large-scale video datasets is useful in an increasing range of applications. ...
Video object tracking annotation tasks are a form of complex data labeling that is inherently tediou...
International audienceLearning processes are impacted by individuals’ capabilities (e.g., working me...
BackgroundThe standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 a...
Machine learning (ML) is increasingly useful as data increases in both volume and accessibility. The...
<p>Average localization time and memory requirements of each method versus the size of the model (<i...
One of the main approaches for personalization of activity recognition is the generation of the cla...
MOOCs (massive open online courses) are developing rapidly, but they also face many problems. As the...
International audienceDownlink data rates can vary significantly in cellular networks, with a potent...
This thesis contributes to the literature of understanding and recognizing human activities in video...
Sampling strategy description, acronym, and total duration of time (min) of video that would need to...
We collected N = 193 (119 ASD, 74 non-ASD) home videos for analysis. We excluded 31 videos because o...
Machine learning (ML) is increasingly useful as data grow in volume and accessibility. ML can perfor...
Advancement of the prediction models used in a variety of fields is a result of the contribution of ...
a<p>Number of slices included in the video under analysis. Each image was a copy of image #1 (of siz...
The ability to analyze large-scale video datasets is useful in an increasing range of applications. ...
Video object tracking annotation tasks are a form of complex data labeling that is inherently tediou...
International audienceLearning processes are impacted by individuals’ capabilities (e.g., working me...
BackgroundThe standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 a...
Machine learning (ML) is increasingly useful as data increases in both volume and accessibility. The...
<p>Average localization time and memory requirements of each method versus the size of the model (<i...
One of the main approaches for personalization of activity recognition is the generation of the cla...
MOOCs (massive open online courses) are developing rapidly, but they also face many problems. As the...
International audienceDownlink data rates can vary significantly in cellular networks, with a potent...
This thesis contributes to the literature of understanding and recognizing human activities in video...
Sampling strategy description, acronym, and total duration of time (min) of video that would need to...
We collected N = 193 (119 ASD, 74 non-ASD) home videos for analysis. We excluded 31 videos because o...
Machine learning (ML) is increasingly useful as data grow in volume and accessibility. ML can perfor...
Advancement of the prediction models used in a variety of fields is a result of the contribution of ...
a<p>Number of slices included in the video under analysis. Each image was a copy of image #1 (of siz...
The ability to analyze large-scale video datasets is useful in an increasing range of applications. ...
Video object tracking annotation tasks are a form of complex data labeling that is inherently tediou...
International audienceLearning processes are impacted by individuals’ capabilities (e.g., working me...