ArticleProceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition2019
AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition.
Article in Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches.Sensors (Basel, Switzerland) · 2024Pooled it
- Using Automated Coding of Nonverbal Behavior During a Suicide Assessment to Inform Risk Detection: Mixed Cross-Sectional and Exploratory Prospective Study.JMIR formative research · 2026Article
- Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues.CEUR workshop proceedings · 2024Article
- Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models.Sensors (Basel, Switzerland) · 2023Review
- Infant AFAR: Automated facial action recognition in infants.Behavior research methods · 2023Article
- New and emerging approaches to treat psychiatric disorders.Nature medicine · 2023Review
- SHAP-based Prediction of Mother's History of Depression to Understand the Influence on Child Behavior.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2023Article
- Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring.IEEE transactions on affective computing · 2023Article
- Article
- Human-Guided Modality Informativeness for Affective States.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2021Article
- Assessing Automated Facial Action Unit Detection Systems for Analyzing Cross-Domain Facial Expression Databases.Sensors (Basel, Switzerland) · 2021Article
- Automated Detection of Enhanced DBS Device Settings.Companion Publication of the 2020 International Conference on Multimodal Interaction · 2020Article
- D-PAttNet: Dynamic Patch-Attentive Deep Network for Action Unit Detection.Frontiers in computer science · 2019Article
- Automated measurement of infant and mother Duchenne facial expressions in the Face-to-Face/Still-Face.Infancy : the official journal of the International Society on Infant StudiesArticle
- Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy.Digital healthArticle
- Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes.IEEE transactions on affective computingArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.