cnn-softmax classifiers Search Results


classifier-based implementation of existing cnn models  (SoftMax Inc)
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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
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Average 90 stars, based on 1 article reviews
classifier-based implementation of existing cnn models - by Bioz Stars, 2026-04
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discriminant classifier with cnn and stft dr  (SoftMax Inc)
90
SoftMax Inc discriminant classifier with cnn and stft dr
Average Statistical Features for <t> STFT </t> Dimensionally Reduced Adeno Carcinoma and Meso Cancer Cases.
Discriminant Classifier With Cnn And Stft Dr, 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/discriminant classifier with cnn and stft dr/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
discriminant classifier with cnn and stft dr - by Bioz Stars, 2026-04
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cnn architecture with svm classifier adenocansvm  (SoftMax Inc)
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SoftMax Inc cnn architecture with svm classifier adenocansvm
Average Statistical Features for <t> STFT </t> Dimensionally Reduced Adeno Carcinoma and Meso Cancer Cases.
Cnn Architecture With Svm Classifier Adenocansvm, 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 architecture with svm classifier adenocansvm/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
cnn architecture with svm classifier adenocansvm - by Bioz Stars, 2026-04
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Image Search Results


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:

Average Statistical Features for STFT Dimensionally Reduced Adeno Carcinoma and Meso Cancer Cases.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Average Statistical Features for STFT Dimensionally Reduced Adeno Carcinoma and Meso Cancer Cases.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques:

Scatter plot for STFT based Dimensionality Reduction Method in Meso and Adeno Carcinoma Cancer Classes.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Scatter plot for STFT based Dimensionality Reduction Method in Meso and Adeno Carcinoma Cancer Classes.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques:

Normal Probability plot for STFT Dimensionality Reduction Method with PSO Feature Selection in Adeno Carcinoma Cancer Classes.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Normal Probability plot for STFT Dimensionality Reduction Method with PSO Feature Selection in Adeno Carcinoma Cancer Classes.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Normal probability plot for STFT Dimensionality Reduction Method with PSO Feature Selection in Meso Carcinoma Cancer Classes.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Normal probability plot for STFT Dimensionality Reduction Method with PSO Feature Selection in Meso Carcinoma Cancer Classes.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Histogram for STFT Dimensionality Reduction Method with Harmonic Search Feature Selection in Adeno Carcinoma Cancer Classes.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Histogram for STFT Dimensionality Reduction Method with Harmonic Search Feature Selection in Adeno Carcinoma Cancer Classes.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Histogram for STFT Dimensionality Reduction Method with Harmonic Search Feature Selection in Meso Carcinoma Cancer Classes.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Histogram for STFT Dimensionality Reduction Method with Harmonic Search Feature Selection in Meso Carcinoma Cancer Classes.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Analysis of Friedman Test in Feature Selection Methods on STFT Data.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Analysis of Friedman Test in Feature Selection Methods on STFT Data.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Training and Testing MSE Analysis of Classifiers for STFT Dimensionality Reduction Technique without and with PSO and Harmonic Search Feature Selection.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Training and Testing MSE Analysis of Classifiers for STFT Dimensionality Reduction Technique without and with PSO and Harmonic Search Feature Selection.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Training and Testing Parameters of CNN Methodology for Raw Data and STFT Dimensionally reduced inputs.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Training and Testing Parameters of CNN Methodology for Raw Data and STFT Dimensionally reduced inputs.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques:

Training and Testing Accuracy Analysis of various Classifiers in CNN Method with Raw Data and STFT features.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Training and Testing Accuracy Analysis of various Classifiers in CNN Method with Raw Data and STFT features.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques:

Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique without Feature Selection.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique without Feature Selection.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique with PSO Feature Selection.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique with PSO Feature Selection.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique with Harmonic Search Feature Selection.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique with Harmonic Search Feature Selection.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique with CNN Method.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Performance Analysis of Classifiers for STFT Dimensionality Reduction Technique with CNN Method.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques:

Performance of Classifiers in terms of MCC and Kappa Parameters for Raw and STFT Inputs for CNN Methods.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Performance of Classifiers in terms of MCC and Kappa Parameters for Raw and STFT Inputs for CNN Methods.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques:

Performance of Classifiers in terms of Accuracy, F1 Score and Error Rate Parameters for Raw and STFT Inputs in CNN Methods.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Performance of Classifiers in terms of Accuracy, F1 Score and Error Rate Parameters for Raw and STFT Inputs in CNN Methods.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques:

Computational Complexity of the Classifiers for STFT Dimensionality Reduction Method without and with Feature selection methods and CNN Models.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Computational Complexity of the Classifiers for STFT Dimensionality Reduction Method without and with Feature selection methods and CNN Models.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Selection

Comparison with Existing Works in Adenocarcinoma and Mesothelioma lung cancer classification from microarray gene datasets.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Comparison with Existing Works in Adenocarcinoma and Mesothelioma lung cancer classification from microarray gene datasets.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Comparison, Microarray, Selection, Gene Expression

Comparison of previous works involving lung and other types of cancer classification from microarray gene datasets.

Journal: Bioengineering

Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift

doi: 10.3390/bioengineering10080933

Figure Lengend Snippet: Comparison of previous works involving lung and other types of cancer classification from microarray gene datasets.

Article Snippet: Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197.

Techniques: Comparison, Microarray, Selection