On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects ; day:17 ; month:1 ; year:2024 ; pages:1-23
Machine learning ; (17.1.2024), 1-23

Creator: Theodoropoulos, Spyros
Zajec, Patrik
Rožanec, Jože M.
Kyriazis, Dimosthenis
Tsanakas, Panayiotis

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10994-023-06498-4

URN: urn:nbn:de:101:1-2024032915545059431522

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:00 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Theodoropoulos, Spyros
Zajec, Patrik
Rožanec, Jože M.
Kyriazis, Dimosthenis
Tsanakas, Panayiotis
SpringerLink (Online service)

Other Objects (12)

Bootstrapping binary GEV regressions for imbalanced datasets

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

Resampling imbalanced data for network intrusion detection datasets

Correction to: Bootstrapping binary GEV regressions for imbalanced datasets

LoRAS: an oversampling approach for imbalanced datasets

Handling imbalanced medical datasets: review of a decade of research

Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

A predictive noise correction methodology for manufacturing process datasets

Graffiti | Streetart

FlyFly

Using DenseFly algorithm for cell searching on massive scRNA-seq datasets

Bootstrapping binary GEV regressions for imbalanced datasets

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

Resampling imbalanced data for network intrusion detection datasets

Correction to: Bootstrapping binary GEV regressions for imbalanced datasets

LoRAS: an oversampling approach for imbalanced datasets

Handling imbalanced medical datasets: review of a decade of research

Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

A predictive noise correction methodology for manufacturing process datasets

Graffiti | Streetart

FlyFly

Using DenseFly algorithm for cell searching on massive scRNA-seq datasets

Bootstrapping binary GEV regressions for imbalanced datasets

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

Resampling imbalanced data for network intrusion detection datasets

Correction to: Bootstrapping binary GEV regressions for imbalanced datasets

LoRAS: an oversampling approach for imbalanced datasets

Handling imbalanced medical datasets: review of a decade of research

Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

A predictive noise correction methodology for manufacturing process datasets

Graffiti | Streetart

FlyFly

Using DenseFly algorithm for cell searching on massive scRNA-seq datasets

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Bootstrapping binary GEV regressions for imbalanced datasets

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

Resampling imbalanced data for network intrusion detection datasets

Correction to: Bootstrapping binary GEV regressions for imbalanced datasets

LoRAS: an oversampling approach for imbalanced datasets

Handling imbalanced medical datasets: review of a decade of research

Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

A predictive noise correction methodology for manufacturing process datasets

FlyFly

Using DenseFly algorithm for cell searching on massive scRNA-seq datasets

Bootstrapping binary GEV regressions for imbalanced datasets

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

Resampling imbalanced data for network intrusion detection datasets

Correction to: Bootstrapping binary GEV regressions for imbalanced datasets

LoRAS: an oversampling approach for imbalanced datasets

Handling imbalanced medical datasets: review of a decade of research

Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

A predictive noise correction methodology for manufacturing process datasets

FlyFly

Using DenseFly algorithm for cell searching on massive scRNA-seq datasets

Bootstrapping binary GEV regressions for imbalanced datasets

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

Resampling imbalanced data for network intrusion detection datasets

Correction to: Bootstrapping binary GEV regressions for imbalanced datasets

LoRAS: an oversampling approach for imbalanced datasets

Handling imbalanced medical datasets: review of a decade of research

Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering

A predictive noise correction methodology for manufacturing process datasets

FlyFly

Using DenseFly algorithm for cell searching on massive scRNA-seq datasets

Related objects

Reset password