UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

IEEE transactions on reliability, 2020-03, Vol.69 (1), p.139-153

2020

Volltextzugriff (PDF)

Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes

ISPRS international journal of geo-information, 2022-12, Vol.11 (12), p.587

2022

Volltextzugriff (PDF)

Regularization oversampling for classification tasks: To exploit what you do not know

Information sciences, 2023-07, Vol.635, p.169-194

2023

Volltextzugriff (PDF)

A Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions

ACM computing surveys, 2020-07, Vol.52 (4), p.1-36

2020

Volltextzugriff (PDF)

Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

Decision Support Systems, 2021-01, Vol.140, p.113429, Article 113429

2021

Volltextzugriff (PDF)

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3573-3587

2018

Volltextzugriff (PDF)

Malicious code detection based on CNNs and multi-objective algorithm

Journal of parallel and distributed computing, 2019-07, Vol.129, p.50-58

2019

Volltextzugriff (PDF)

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Knowledge-based systems, 2020-07, Vol.199, p.105971, Article 105971

2020

Volltextzugriff (PDF)

Intrusion detection for Industrial Internet of Things based on deep learning

Neurocomputing (Amsterdam), 2024-01, Vol.564, p.126886, Article 126886

2024

Volltextzugriff (PDF)

Least squares KNN-based weighted multiclass twin SVM

Neurocomputing (Amsterdam), 2021-10, Vol.459, p.454-464

2021

Volltextzugriff (PDF)

A Novel Method for Imbalanced Fault Diagnosis of Rotating Machinery Based on Generative Adversarial Networks

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-17

2021

Volltextzugriff (PDF)

Machine learning-based fault diagnosis for various steady conditions of proton exchange membrane fuel cell systems

International journal of hydrogen energy, 2024-11, Vol.89, p.507-517

2024

Volltextzugriff (PDF)

Handling imbalance dataset issue in insider threat detection using machine learning methods

Computers & electrical engineering, 2024-12, Vol.120, p.109726, Article 109726

2024

Volltextzugriff (PDF)

Design of classification model on high-dimensional imbalance data of motor bearing fault

Journal of physics. Conference series, 2021-11, Vol.2083 (3), p.32062

2021

Volltextzugriff (PDF)

A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.683-687

2019

Volltextzugriff (PDF)

Improved Generative Adversarial Network for Bearing Fault Diagnosis with a Small Number of Data and Unbalanced Data

Symmetry (Basel), 2024-03, Vol.16 (3), p.358

2024

Volltextzugriff (PDF)

Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

IEEE transaction on neural networks and learning systems, 2022-07, Vol.PP (7), p.1-12

2022

Volltextzugriff (PDF)

Classification of autonomous vehicle crash severity: Solving the problems of imbalanced datasets and small sample size

Accident analysis and prevention, 2024-09, Vol.205, p.107666, Article 107666

2024

Volltextzugriff (PDF)

Kmeans-SMOTE Integration for Handling Imbalance Data in Classifying Financial Distress Companies using SVM and Naïve Bayes

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (Online), 2024-02, Vol.8 (1), p.54-61

2024

Volltextzugriff (PDF)

Problem of data imbalance in building energy load prediction: Concept, influence, and solution

Applied energy, 2021-09, Vol.297, p.117139, Article 117139

2021

Volltextzugriff (PDF)

Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net

Alexandria engineering journal, 2024-11, Vol.106, p.25-41

2024

Volltextzugriff (PDF)

Deep Integration: A Multi-Label Architecture for Road Scene Recognition

IEEE transactions on image processing, 2019-10, Vol.28 (10), p.4883-4898

2019

Volltextzugriff (PDF)

FEATURE SUB-SPACING BASED STACKING FOR EFFECTIVE IMBALANCE HANDLING IN SENSITIVE DATA

ICTACT journal on soft computing, 2021-10, Vol.12 (1), p.2510-2514

2021

Volltextzugriff (PDF)

UNBALANCED MULTICLASS CLASSIFICATION WITH ADAPTIVE SYNTHETIC MULTINOMIAL NAIVE BAYES APPROACH

Informatyka, automatyka, pomiary w gospodarce i ochronie środowiska, 2023-09, Vol.13 (3), p.64-70

2023

Volltextzugriff (PDF)

Evidential reasoning based ensemble classifier for uncertain imbalanced data

Information sciences, 2021-11, Vol.578, p.378-400

2021

Volltextzugriff (PDF)

1 – 25 von 3.736

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(2.355)
Mit Volltextzugriff
(3.022)

Publikationsform

2 weitere anzeigen...

Weniger anzeigen...

Sprache

9 weitere anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

Science & Technology
(2.399)
Technology
(1.673)
Computer Science
(1.275)
Machine Learning
(1.056)
Class Imbalance
(880)
Engineering
(803)
Algorithms
(770)
Classification
(759)
Life Sciences & Biomedicine
(756)
Datasets
(683)
Computer Science, Artificial Intelligence
(637)
Humans
(619)
Data Imbalance
(614)
Training
(555)
Engineering, Electrical & Electronic
(543)
Computer Science, Information Systems
(472)
Data Models
(414)
Deep Learning
(398)
Computer Science, Theory & Methods
(373)
Data Mining
(369)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes

Regularization oversampling for classification tasks: To exploit what you do not know

A Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions

Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Malicious code detection based on CNNs and multi-objective algorithm

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Intrusion detection for Industrial Internet of Things based on deep learning

Least squares KNN-based weighted multiclass twin SVM

A Novel Method for Imbalanced Fault Diagnosis of Rotating Machinery Based on Generative Adversarial Networks

Machine learning-based fault diagnosis for various steady conditions of proton exchange membrane fuel cell systems

Handling imbalance dataset issue in insider threat detection using machine learning methods

Design of classification model on high-dimensional imbalance data of motor bearing fault

A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation

Improved Generative Adversarial Network for Bearing Fault Diagnosis with a Small Number of Data and Unbalanced Data

Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

Classification of autonomous vehicle crash severity: Solving the problems of imbalanced datasets and small sample size

Kmeans-SMOTE Integration for Handling Imbalance Data in Classifying Financial Distress Companies using SVM and Naïve Bayes

Problem of data imbalance in building energy load prediction: Concept, influence, and solution

Imbalanced segmentation for abnormal cotton fiber based on GAN and multiscale residual U-Net

Deep Integration: A Multi-Label Architecture for Road Scene Recognition

FEATURE SUB-SPACING BASED STACKING FOR EFFECTIVE IMBALANCE HANDLING IN SENSITIVE DATA

UNBALANCED MULTICLASS CLASSIFICATION WITH ADAPTIVE SYNTHETIC MULTINOMIAL NAIVE BAYES APPROACH

Evidential reasoning based ensemble classifier for uncertain imbalanced data

Suchergebnisse filtern