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discriminant classifier with cnn and stft dr  (SoftMax Inc)

 
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    Structured Review

    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/product/discriminant+classifier+with+cnn+and+stft+dr/discriminant+classifier+with+cnn+and+stft+dr/pmc10451477-107-1-0
    Average 90 stars, based on 1 article reviews
    discriminant classifier with cnn and stft dr - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift"

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

    Journal: Bioengineering

    doi: 10.3390/bioengineering10080933

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

    Techniques Used:

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

    Techniques Used:

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

    Techniques Used: Selection

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

    Techniques Used: Selection

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

    Techniques Used: Selection

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

    Techniques Used: Selection

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

    Techniques Used: Selection

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

    Techniques Used: Selection

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

    Techniques Used:

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

    Techniques Used:

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

    Techniques Used: Selection

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

    Techniques Used: Selection

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

    Techniques Used: Selection

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

    Techniques Used:

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

    Techniques Used:

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

    Techniques Used:

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

    Techniques Used: Selection

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

    Techniques Used: Comparison, Microarray, Selection, Gene Expression

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

    Techniques Used: Comparison, Microarray, Selection

    Related Articles

    Selection:

    Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift
    Article Snippet: , SVM (RBF) Classifier with CNN and Raw Data , 90.607 , 90.797 , 98.67 , 94.56869. .. Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197. .. 2 , Lung cancer—Gordon (2002) [ ] , PCC-DTCV model with optimized DT and PPC ≥ 0.4 ,

    Comparison:

    Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift
    Article Snippet: , SVM (RBF) Classifier with CNN and Raw Data , 90.607 , 90.797 , 98.67 , 94.56869. .. Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197. .. 2 , Lung cancer—Gordon (2002) [ ] , PCC-DTCV model with optimized DT and PPC ≥ 0.4 ,

    Microarray:

    Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift
    Article Snippet: , SVM (RBF) Classifier with CNN and Raw Data , 90.607 , 90.797 , 98.67 , 94.56869. .. Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197. .. 2 , Lung cancer—Gordon (2002) [ ] , PCC-DTCV model with optimized DT and PPC ≥ 0.4 ,

    Gene Expression:

    Article Title: Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift
    Article Snippet: , SVM (RBF) Classifier with CNN and Raw Data , 90.607 , 90.797 , 98.67 , 94.56869. .. Softmax Discriminant Classifier with CNN and STFT DR , 91.666 , 93.54 , 96.67 , 95.08197. .. 2 , Lung cancer—Gordon (2002) [ ] , PCC-DTCV model with optimized DT and PPC ≥ 0.4 ,



    Similar Products

    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/product/discriminant+classifier+with+cnn+and+stft+dr/discriminant+classifier+with+cnn+and+stft+dr/pmc10451477-107-1-0
    Average 90 stars, based on 1 article reviews
    discriminant classifier with cnn and stft dr - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    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