Search Results - "Mutlu, Onur Cezmi"
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Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study
Published in JMIR formative research (21-03-2023)“…Implementing automated facial expression recognition on mobile devices could provide an accessible diagnostic and therapeutic tool for those who struggle to…”
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Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study
Published in JMIR pediatrics and parenting (08-04-2022)“…Automated emotion classification could aid those who struggle to recognize emotions, including children with developmental behavioral conditions such as…”
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The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study
Published in JMIR biomedical engineering (06-06-2022)“…Background A formal autism diagnosis can be an inefficient and lengthy process. Families may wait several months or longer before receiving a diagnosis for…”
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Deep Learning-Based Autism Spectrum Disorder Detection Using Emotion Features From Video Recordings (Preprint)
Published in JMIR biomedical engineering (30-05-2022)Get full text
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Machine learning models using mobile game play accurately classify children with autism
Published in Intelligence-based medicine (01-01-2022)“…Digitally-delivered healthcare is well suited to address current inequities in the delivery of care due to barriers of access to healthcare facilities. As the…”
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TempT: Temporal consistency for Test-time adaptation
Published 18-03-2023“…We introduce Temporal consistency for Test-time adaptation (TempT) a novel method for test-time adaptation on videos through the use of temporal coherence of…”
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Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder
Published 23-08-2024“…Early detection of autism, a neurodevelopmental disorder marked by social communication challenges, is crucial for timely intervention. Recent advancements…”
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TempT: Temporal consistency for Test-time adaptation
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (01-06-2023)“…We introduce Temporal consistency for Test-time adaptation (TempT), a novel method for test-time adaptation on videos through the use of temporal coherence of…”
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Conference Proceeding -
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Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Published 19-03-2023“…Emotions play an essential role in human communication. Developing computer vision models for automatic recognition of emotion expression can aid in a variety…”
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Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
Published 13-02-2024“…The increasing variety and quantity of tagged multimedia content on a variety of online platforms offer a unique opportunity to advance the field of human…”
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Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study
Published 06-06-2022“…A formal autism diagnosis can be an inefficient and lengthy process. Families may wait months or longer before receiving a diagnosis for their child despite…”
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Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Published 26-01-2022“…Computer Vision (CV) classifiers which distinguish and detect nonverbal social human behavior and mental state can aid digital diagnostics and therapeutics for…”
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Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging
Published 10-01-2021“…Activity recognition computer vision algorithms can be used to detect the presence of autism-related behaviors, including what are termed "restricted and…”
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TikTok for good: Creating a diverse emotion expression database
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (01-06-2022)“…Facial expression recognition (FER) is a critical computer vision task for a variety of applications. Despite the widespread use of FER, there is a dearth of…”
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Conference Proceeding -
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Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels
Published 10-01-2021“…Emotion classifiers traditionally predict discrete emotions. However, emotion expressions are often subjective, thus requiring a method to handle subjective…”
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Journal Article -
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Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study
Published 15-12-2020“…JMIR pediatrics and parenting 5.2 (2022): e26760 Background: Automated emotion classification could aid those who struggle to recognize emotions, including…”
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Journal Article