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SoftMax Inc convnets softmax
Convnets Softmax, 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/convnets softmax/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
convnets softmax - by Bioz Stars, 2026-03
90/100 stars

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Summary and comparison of the selected recent research.
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Performance for all categories using the proposed method <t> (ConvNet </t> & LRBSF). Best and worst performance of individual participant is also mentioned.
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Summary and comparison of the selected recent research.

Journal: Sensors (Basel, Switzerland)

Article Title: Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning

doi: 10.3390/s22082911

Figure Lengend Snippet: Summary and comparison of the selected recent research.

Article Snippet: Bäckström et al. (2018) [ ] , 3D ConvNet + Softmax , 96% , , .

Techniques: Comparison, Selection, T-Test, Generated

Comparison of our test performance with eight existing state-of-the-art methods.

Journal: Sensors (Basel, Switzerland)

Article Title: Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning

doi: 10.3390/s22082911

Figure Lengend Snippet: Comparison of our test performance with eight existing state-of-the-art methods.

Article Snippet: Bäckström et al. (2018) [ ] , 3D ConvNet + Softmax , 96% , , .

Techniques: Comparison

Performance for all categories using the proposed method  (ConvNet  & LRBSF). Best and worst performance of individual participant is also mentioned.

Journal: PLoS ONE

Article Title: Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion

doi: 10.1371/journal.pone.0178410

Figure Lengend Snippet: Performance for all categories using the proposed method (ConvNet & LRBSF). Best and worst performance of individual participant is also mentioned.

Article Snippet: Because ConvNet is a complete framework, most of the studies have used the ConvNet classifier (softmax) for prediction/classification [ ].

Techniques: Selection

Significant difference (p-value) of accuracies between the proposed and other methods.

Journal: PLoS ONE

Article Title: Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion

doi: 10.1371/journal.pone.0178410

Figure Lengend Snippet: Significant difference (p-value) of accuracies between the proposed and other methods.

Article Snippet: Because ConvNet is a complete framework, most of the studies have used the ConvNet classifier (softmax) for prediction/classification [ ].

Techniques: