cnn-softmax models Search Results


cnn technique  (SoftMax Inc)
90
SoftMax Inc cnn technique
Comparative analysis of performance based on different handcrafted feature engineering with conventional learning as well as deep learning approach for facial gender recognition techniques. The table includes different state of art methods with author, dataset used, feature extraction technique, classification method, and performance in terms of accuracy(%)
Cnn Technique, 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/cnn technique/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn technique - by Bioz Stars, 2026-06
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unsupervised eye contact pipeline/cnn model  (SoftMax Inc)
90
SoftMax Inc unsupervised eye contact pipeline/cnn model
Summary of the existing approaches used for basic and learning-centred emotion classification models.
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
unsupervised eye contact pipeline/cnn model - by Bioz Stars, 2026-06
90/100 stars
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classifier-based implementation of existing cnn models  (SoftMax Inc)
90
SoftMax Inc classifier-based implementation of existing cnn models
Performance of the developed COVID-19 detection models on the unseen dataset.
Classifier Based Implementation Of Existing Cnn Models, 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/classifier-based implementation of existing cnn models/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
classifier-based implementation of existing cnn models - by Bioz Stars, 2026-06
90/100 stars
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classification layers of 11 pre-trained cnn models  (SoftMax Inc)
90
SoftMax Inc classification layers of 11 pre-trained cnn models
Performance of the developed COVID-19 detection models on the unseen dataset.
Classification Layers Of 11 Pre Trained Cnn Models, 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/classification layers of 11 pre-trained cnn models/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
classification layers of 11 pre-trained cnn models - by Bioz Stars, 2026-06
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cnn-svm model 2  (SoftMax Inc)
90
SoftMax Inc cnn-svm model 2
Performance of the developed COVID-19 detection models on the unseen dataset.
Cnn Svm Model 2, 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/cnn-svm model 2/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn-svm model 2 - by Bioz Stars, 2026-06
90/100 stars
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Image Search Results


Comparative analysis of performance based on different handcrafted feature engineering with conventional learning as well as deep learning approach for facial gender recognition techniques. The table includes different state of art methods with author, dataset used, feature extraction technique, classification method, and performance in terms of accuracy(%)

Journal: Multimedia Tools and Applications

Article Title: Review: Single attribute and multi attribute facial gender and age estimation

doi: 10.1007/s11042-022-12678-6

Figure Lengend Snippet: Comparative analysis of performance based on different handcrafted feature engineering with conventional learning as well as deep learning approach for facial gender recognition techniques. The table includes different state of art methods with author, dataset used, feature extraction technique, classification method, and performance in terms of accuracy(%)

Article Snippet: , Antipov [ ] , LFW , CNN , Softmax , 97.31.

Techniques: Extraction, Isolation

Summary of the existing approaches used for basic and learning-centred emotion classification models.

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 , Unsupervised eye contact pipeline/CNN Model , Binary support vector machine (SVC) classifier/Softmax , × , CNN Model.

Techniques: Extraction, Plasmid Preparation

Performance of the developed COVID-19 detection models on the unseen dataset.

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 Softmax classifier-based implementation of existing CNN models as well.

Techniques:

Performance comparison of hybrid based DHL and Softmax classifier-based implementation of well-established CNN models.

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 Softmax classifier-based implementation of existing CNN models as well.

Techniques: Comparison

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 .

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 Softmax classifier-based implementation of existing CNN models as well.

Techniques: