deep learning models knn Search Results


90
RStudio k nearest neighbor (knn) imputation method
K Nearest Neighbor (Knn) Imputation Method, supplied by RStudio, 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
k nearest neighbor (knn) imputation method - by Bioz Stars, 2026-03
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90
Bruker Corporation supervised neural network (snn)
Supervised Neural Network (Snn), supplied by Bruker Corporation, 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/supervised neural network (snn)/product/Bruker Corporation
Average 90 stars, based on 1 article reviews
supervised neural network (snn) - by Bioz Stars, 2026-03
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90
MathWorks Inc deep learning models knn
Deep Learning Models Knn, supplied by MathWorks 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/deep learning models knn/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
deep learning models knn - by Bioz Stars, 2026-03
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90
MathWorks Inc k-nearest neighbor algorithm
K Nearest Neighbor Algorithm, supplied by MathWorks 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/k-nearest neighbor algorithm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
k-nearest neighbor algorithm - by Bioz Stars, 2026-03
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MathWorks Inc optimizable knn
All tested classifiers ranked in terms of accuracy (%).
Optimizable Knn, supplied by MathWorks 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/optimizable knn/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
optimizable knn - by Bioz Stars, 2026-03
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90
KNIME GmbH gradient boosted trees learner/predictor
All tested classifiers ranked in terms of accuracy (%).
Gradient Boosted Trees Learner/Predictor, supplied by KNIME GmbH, 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/gradient boosted trees learner/predictor/product/KNIME GmbH
Average 90 stars, based on 1 article reviews
gradient boosted trees learner/predictor - by Bioz Stars, 2026-03
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90
SAS institute k-nearest neighbor
Models Used to Test the Predictive (Diagnostic) Potential of 85 Leukocyte Genes *
K Nearest Neighbor, supplied by SAS institute, 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/k-nearest neighbor/product/SAS institute
Average 90 stars, based on 1 article reviews
k-nearest neighbor - by Bioz Stars, 2026-03
90/100 stars
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90
MathWorks Inc k-nearest neighbor
Models Used to Test the Predictive (Diagnostic) Potential of 85 Leukocyte Genes *
K Nearest Neighbor, supplied by MathWorks 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/k-nearest neighbor/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
k-nearest neighbor - by Bioz Stars, 2026-03
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MathWorks Inc k nearest-neighbor algorithm

K Nearest Neighbor Algorithm, supplied by MathWorks 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/k nearest-neighbor algorithm/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
k nearest-neighbor algorithm - by Bioz Stars, 2026-03
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MathWorks Inc k-nearest neighbor (knn)

K Nearest Neighbor (Knn), supplied by MathWorks 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
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MathWorks Inc k-nearest-neighbor imputation

K Nearest Neighbor Imputation, supplied by MathWorks 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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MathWorks Inc bagged decision trees (matlab's treebagger model)

Bagged Decision Trees (Matlab's Treebagger Model), supplied by MathWorks 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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Image Search Results


All tested classifiers ranked in terms of accuracy (%).

Journal: Journal of Clinical Medicine

Article Title: Artificial Intelligence Supports Decision Making during Open-Chest Surgery of Rare Congenital Heart Defects

doi: 10.3390/jcm10225330

Figure Lengend Snippet: All tested classifiers ranked in terms of accuracy (%).

Article Snippet: In detail: Optimizable KNN (k-nearest neighbor classifier), via the “fitcknn” function ( https://it.mathworks.com/help/stats/fitcknn.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features; Optimizable SVM (support vector machine classifier), via the “fitcsvm” function ( https://it.mathworks.com/help/stats/fitcsvm.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features.

Techniques: Plasmid Preparation

Performance of the trained optimizable k-nearest neighbor (KNN) classifier. ( a ) Confusion matrix showing the true and predicted classes of the ToF patients’ videos. The blue diagonal is related to the number of videos that were truly recognized (Predicted Class = True Class), whereas the pink antidiagonal is related to the number of videos that were falsely recognized (Predicted Class ≠ True Class). ( b ) Same as ( a ) with the True Positive Rate (TPR) in blue and the False Negative Rate (FNR) in pink.

Journal: Journal of Clinical Medicine

Article Title: Artificial Intelligence Supports Decision Making during Open-Chest Surgery of Rare Congenital Heart Defects

doi: 10.3390/jcm10225330

Figure Lengend Snippet: Performance of the trained optimizable k-nearest neighbor (KNN) classifier. ( a ) Confusion matrix showing the true and predicted classes of the ToF patients’ videos. The blue diagonal is related to the number of videos that were truly recognized (Predicted Class = True Class), whereas the pink antidiagonal is related to the number of videos that were falsely recognized (Predicted Class ≠ True Class). ( b ) Same as ( a ) with the True Positive Rate (TPR) in blue and the False Negative Rate (FNR) in pink.

Article Snippet: In detail: Optimizable KNN (k-nearest neighbor classifier), via the “fitcknn” function ( https://it.mathworks.com/help/stats/fitcknn.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features; Optimizable SVM (support vector machine classifier), via the “fitcsvm” function ( https://it.mathworks.com/help/stats/fitcsvm.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features.

Techniques:

Performance of the trained optimizable support vector machine (SVM) classifier. ( a ) Confusion matrix showing the true and predicted classes of the ToF patients’ videos. The blue diagonal is related to the number of videos that were truly recognized (Predicted Class = True Class), whereas the pink antidiagonal is related to the number of videos that were falsely recognized (Predicted Class ≠ True Class). ( b ) Same as ( a ) the True Positive Rate (TPR) in blue and the False Negative Rate (FNR) in pink.

Journal: Journal of Clinical Medicine

Article Title: Artificial Intelligence Supports Decision Making during Open-Chest Surgery of Rare Congenital Heart Defects

doi: 10.3390/jcm10225330

Figure Lengend Snippet: Performance of the trained optimizable support vector machine (SVM) classifier. ( a ) Confusion matrix showing the true and predicted classes of the ToF patients’ videos. The blue diagonal is related to the number of videos that were truly recognized (Predicted Class = True Class), whereas the pink antidiagonal is related to the number of videos that were falsely recognized (Predicted Class ≠ True Class). ( b ) Same as ( a ) the True Positive Rate (TPR) in blue and the False Negative Rate (FNR) in pink.

Article Snippet: In detail: Optimizable KNN (k-nearest neighbor classifier), via the “fitcknn” function ( https://it.mathworks.com/help/stats/fitcknn.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features; Optimizable SVM (support vector machine classifier), via the “fitcsvm” function ( https://it.mathworks.com/help/stats/fitcsvm.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features.

Techniques: Plasmid Preparation

Optimization of the k-nearest neighbor (KNN) classifier. ( a ) The classifier was optimized over 100 iterations via the minimization of the classification error and its optimized hyperparameters are reported as “Optimization Results”. In detail, for each iteration of the optimization, the classifier was also 10-fold cross-validated. ( b ) Receiver Operating Characteristic (ROC) curve with the area under the curve (AUC) painted in blue; a value of AUC close to 1 means a very low classification error for the optimized classifier.

Journal: Journal of Clinical Medicine

Article Title: Artificial Intelligence Supports Decision Making during Open-Chest Surgery of Rare Congenital Heart Defects

doi: 10.3390/jcm10225330

Figure Lengend Snippet: Optimization of the k-nearest neighbor (KNN) classifier. ( a ) The classifier was optimized over 100 iterations via the minimization of the classification error and its optimized hyperparameters are reported as “Optimization Results”. In detail, for each iteration of the optimization, the classifier was also 10-fold cross-validated. ( b ) Receiver Operating Characteristic (ROC) curve with the area under the curve (AUC) painted in blue; a value of AUC close to 1 means a very low classification error for the optimized classifier.

Article Snippet: In detail: Optimizable KNN (k-nearest neighbor classifier), via the “fitcknn” function ( https://it.mathworks.com/help/stats/fitcknn.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features; Optimizable SVM (support vector machine classifier), via the “fitcsvm” function ( https://it.mathworks.com/help/stats/fitcsvm.html , accessed on 1 August 2021) with a total of 100 optimization iterations and no standardization of the input features.

Techniques:

Models Used to Test the Predictive (Diagnostic) Potential of 85 Leukocyte Genes *

Journal:

Article Title: Validation of the Riboleukogram to Detect Ventilator-Associated Pneumonia After Severe Injury

doi: 10.1097/SLA.0b013e3181b8fbd5

Figure Lengend Snippet: Models Used to Test the Predictive (Diagnostic) Potential of 85 Leukocyte Genes *

Article Snippet: K-Nearest Neighbor (SAS).

Techniques: Diagnostic Assay, Plasmid Preparation

Journal: Current Biology

Article Title: Transdiagnostic Brain Mapping in Developmental Disorders

doi: 10.1016/j.cub.2020.01.078

Figure Lengend Snippet:

Article Snippet: K nearest-neighbor algorithm , MATLAB 2015a , Knnimpute function.

Techniques: Software