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kaggle freesound competition  (Kaggle Inc)

 
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    Kaggle Inc kaggle freesound competition
    Distinct Variants of Ensembling Lead to Different Performance on the Test Dataset. We are Able to Change Weights in the Ensemble in Order to Maximize Specific Metrics
    Kaggle Freesound Competition, supplied by Kaggle 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/kaggle+freesound+competition/kaggle+freesound+competition/pmc09088778-211-41-30
    Average 90 stars, based on 1 article reviews
    kaggle freesound competition - by Bioz Stars, 2026-09
    90/100 stars

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    1) Product Images from "Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough"

    Article Title: Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough

    Journal: Ieee Journal of Selected Topics in Signal Processing

    doi: 10.1109/JSTSP.2022.3142514

    Distinct Variants of Ensembling Lead to Different Performance on the Test Dataset. We are Able to Change Weights in the Ensemble in Order to Maximize Specific Metrics
    Figure Legend Snippet: Distinct Variants of Ensembling Lead to Different Performance on the Test Dataset. We are Able to Change Weights in the Ensemble in Order to Maximize Specific Metrics

    Techniques Used: Variant Assay

    Classification Metrics of Different Predictors on Openly Available Crowdsourced Datasets
    Figure Legend Snippet: Classification Metrics of Different Predictors on Openly Available Crowdsourced Datasets

    Techniques Used:

    ROC AUC and Matthews Correlation Score for Different Ensembles on Data Collected From the App. Answers to the Question “do You Have Acute Respiratory Disease Right Now?” Were Considered as Ground Truth
    Figure Legend Snippet: ROC AUC and Matthews Correlation Score for Different Ensembles on Data Collected From the App. Answers to the Question “do You Have Acute Respiratory Disease Right Now?” Were Considered as Ground Truth

    Techniques Used: Variant Assay

    The Average Model Performance for 10-Fold Cross-Validation With Covid19-Cough Dataset and Joined Covid19-Cough and Hospital Dataset. Testing was Performed on the Same Test Parts of CV Splits of the Covid19-Cough Dataset
    Figure Legend Snippet: The Average Model Performance for 10-Fold Cross-Validation With Covid19-Cough Dataset and Joined Covid19-Cough and Hospital Dataset. Testing was Performed on the Same Test Parts of CV Splits of the Covid19-Cough Dataset

    Techniques Used:

    Related Articles

    Variant Assay:

    Article Title: Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough
    Article Snippet: Since the convolutional model used to get the scores is not over-parametrized to memorize the dataset, , and its architecture was shown to be effective in applications ( , and Kaggle Freesound competition https://www.kaggle.com/c/freesound-audio-tagging-2019 ), we speculated that the variability of ROC AUC and the MCC scores between the datasets could be due to the potentially mislabelled COVID status in Coswara and the EPFL datasets, which, unlike Covid19-Cough, are also highly imbalanced.



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    kaggle freesound competition  (Kaggle Inc)
    90
    Kaggle Inc kaggle freesound competition
    Distinct Variants of Ensembling Lead to Different Performance on the Test Dataset. We are Able to Change Weights in the Ensemble in Order to Maximize Specific Metrics
    Kaggle Freesound Competition, supplied by Kaggle 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/kaggle+freesound+competition/kaggle+freesound+competition/pmc09088778-211-41-30
    Average 90 stars, based on 1 article reviews
    kaggle freesound competition - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

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    Distinct Variants of Ensembling Lead to Different Performance on the Test Dataset. We are Able to Change Weights in the Ensemble in Order to Maximize Specific Metrics

    Journal: Ieee Journal of Selected Topics in Signal Processing

    Article Title: Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough

    doi: 10.1109/JSTSP.2022.3142514

    Figure Lengend Snippet: Distinct Variants of Ensembling Lead to Different Performance on the Test Dataset. We are Able to Change Weights in the Ensemble in Order to Maximize Specific Metrics

    Article Snippet: Since the convolutional model used to get the scores is not over-parametrized to memorize the dataset, , and its architecture was shown to be effective in applications ( , and Kaggle Freesound competition https://www.kaggle.com/c/freesound-audio-tagging-2019 ), we speculated that the variability of ROC AUC and the MCC scores between the datasets could be due to the potentially mislabelled COVID status in Coswara and the EPFL datasets, which, unlike Covid19-Cough, are also highly imbalanced.

    Techniques: Variant Assay

    Classification Metrics of Different Predictors on Openly Available Crowdsourced Datasets

    Journal: Ieee Journal of Selected Topics in Signal Processing

    Article Title: Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough

    doi: 10.1109/JSTSP.2022.3142514

    Figure Lengend Snippet: Classification Metrics of Different Predictors on Openly Available Crowdsourced Datasets

    Article Snippet: Since the convolutional model used to get the scores is not over-parametrized to memorize the dataset, , and its architecture was shown to be effective in applications ( , and Kaggle Freesound competition https://www.kaggle.com/c/freesound-audio-tagging-2019 ), we speculated that the variability of ROC AUC and the MCC scores between the datasets could be due to the potentially mislabelled COVID status in Coswara and the EPFL datasets, which, unlike Covid19-Cough, are also highly imbalanced.

    Techniques:

    ROC AUC and Matthews Correlation Score for Different Ensembles on Data Collected From the App. Answers to the Question “do You Have Acute Respiratory Disease Right Now?” Were Considered as Ground Truth

    Journal: Ieee Journal of Selected Topics in Signal Processing

    Article Title: Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough

    doi: 10.1109/JSTSP.2022.3142514

    Figure Lengend Snippet: ROC AUC and Matthews Correlation Score for Different Ensembles on Data Collected From the App. Answers to the Question “do You Have Acute Respiratory Disease Right Now?” Were Considered as Ground Truth

    Article Snippet: Since the convolutional model used to get the scores is not over-parametrized to memorize the dataset, , and its architecture was shown to be effective in applications ( , and Kaggle Freesound competition https://www.kaggle.com/c/freesound-audio-tagging-2019 ), we speculated that the variability of ROC AUC and the MCC scores between the datasets could be due to the potentially mislabelled COVID status in Coswara and the EPFL datasets, which, unlike Covid19-Cough, are also highly imbalanced.

    Techniques: Variant Assay

    The Average Model Performance for 10-Fold Cross-Validation With Covid19-Cough Dataset and Joined Covid19-Cough and Hospital Dataset. Testing was Performed on the Same Test Parts of CV Splits of the Covid19-Cough Dataset

    Journal: Ieee Journal of Selected Topics in Signal Processing

    Article Title: Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough

    doi: 10.1109/JSTSP.2022.3142514

    Figure Lengend Snippet: The Average Model Performance for 10-Fold Cross-Validation With Covid19-Cough Dataset and Joined Covid19-Cough and Hospital Dataset. Testing was Performed on the Same Test Parts of CV Splits of the Covid19-Cough Dataset

    Article Snippet: Since the convolutional model used to get the scores is not over-parametrized to memorize the dataset, , and its architecture was shown to be effective in applications ( , and Kaggle Freesound competition https://www.kaggle.com/c/freesound-audio-tagging-2019 ), we speculated that the variability of ROC AUC and the MCC scores between the datasets could be due to the potentially mislabelled COVID status in Coswara and the EPFL datasets, which, unlike Covid19-Cough, are also highly imbalanced.

    Techniques: