Bin Yin
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Fudan Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-9612-2376
- OpenAlex ID
- A5013429482as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
Affective foundations in AI-human interactions: Insights from evolutionary continuity and interspecies communications,
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video,
Camera-based heart rate estimation for hospitalized newborns in the presence of motion artifacts,
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?,
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network,
Impact of Vestibular Lesions on Allocentric Navigation and Interval Timing: The Role of Self-Initiated Motion in Spatial-Temporal Integration,
Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition,
Precision Teaching and Learning Performance in a Blended Learning Environment
← Authored by 8
Affective foundations in AI-human interactions: Insights from evolutionary continuity and interspecies communications,
A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video,
Camera-based heart rate estimation for hospitalized newborns in the presence of motion artifacts,
Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?,
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network,
Impact of Vestibular Lesions on Allocentric Navigation and Interval Timing: The Role of Self-Initiated Motion in Spatial-Temporal Integration,
Novel Framework: Face Feature Selection Algorithm for Neonatal Facial and Related Attributes Recognition,
Precision Teaching and Learning Performance in a Blended Learning Environment
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Summary
Bin Yin is a human[1].