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SoftMax Inc
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unsupervised eye contact pipeline/cnn model ![]() Unsupervised Eye Contact Pipeline/Cnn Model, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/unsupervised eye contact pipeline/cnn model/product/SoftMax Inc Average 90 stars, based on 1 article reviews
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Image Search Results
Journal: Sensors (Basel, Switzerland)
Article Title: Real-Time Robotic Presentation Skill Scoring Using Multi-Model Analysis and Fuzzy Delphi–Analytic Hierarchy Process
doi: 10.3390/s23249619
Figure Lengend Snippet: Summary of the existing approaches used for basic and learning-centred emotion classification models.
Article Snippet: [ ] , × , √ , × , 0 , 0 ,
Techniques: Extraction, Plasmid Preparation
Journal: Computers in Biology and Medicine
Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning
doi: 10.1016/j.compbiomed.2021.104816
Figure Lengend Snippet: Performance of the developed COVID-19 detection models on the unseen dataset.
Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a
Techniques:
Journal: Computers in Biology and Medicine
Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning
doi: 10.1016/j.compbiomed.2021.104816
Figure Lengend Snippet: Performance comparison of hybrid based DHL and Softmax classifier-based implementation of well-established CNN models.
Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a
Techniques: Comparison
Journal: Computers in Biology and Medicine
Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning
doi: 10.1016/j.compbiomed.2021.104816
Figure Lengend Snippet: ROC curve for the proposed frameworks (DHL, DBHL), the developed and well-established CNN Models. The square bracket values represent the tolerance or error, calculated at a 95% confidence interval .
Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a
Techniques: