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...

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

Catena (Giessen), 2018-04, Vol.163, p.399-413

2018

Volltextzugriff (PDF)

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

Catena (Giessen), 2020-12, Vol.195, p.104777, Article 104777

2020

Volltextzugriff (PDF)

Performance optimization in ddos prediction with ensemble based approach

Multimedia tools and applications, 2024-05

2024

Volltextzugriff (PDF)

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

Neurocomputing (Amsterdam), 2020-09, Vol.404, p.351-366

2020

Volltextzugriff (PDF)

An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-8

2022

Volltextzugriff (PDF)

The improved AdaBoost algorithms for imbalanced data classification

Information sciences, 2021-07, Vol.563, p.358-374

2021

Volltextzugriff (PDF)

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting

Information fusion, 2020-02, Vol.54, p.128-144

2020

Volltextzugriff (PDF)

Cascade AdaBoost Neural Network Classifier: Analysis and Design

Journal of circuits, systems, and computers, 2024-05, Vol.33 (7)

2024

Volltextzugriff (PDF)

An automated method for sleep staging from EEG signals using normal inverse Gaussian parameters and adaptive boosting

Neurocomputing (Amsterdam), 2017-01, Vol.219, p.76-87

2017

Volltextzugriff (PDF)

Sistem Deteksi Orang Jatuh Dengan Menggunakan Sensor Kamera Kinect Dengan Metode AdaBoost

IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) (Online), 2021-10, Vol.11 (2), p.113

2021

Volltextzugriff (PDF)

Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification

Information sciences, 2019-06, Vol.487, p.31-56

2019

Volltextzugriff (PDF)

SWIPENET: Object detection in noisy underwater scenes

Pattern recognition, 2022-12, Vol.132, p.108926, Article 108926

2022

Volltextzugriff (PDF)

Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance

Computers & chemical engineering, 2021-12, Vol.155, p.107513, Article 107513

2021

Volltextzugriff (PDF)

A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling

Transportation Geotechnics, 2021-03, Vol.27, p.100508, Article 100508

2021

Volltextzugriff (PDF)

Detection of Network Attacks using Machine Learning and Deep Learning Models

Procedia computer science, 2023, Vol.218, p.57-66

2023

Volltextzugriff (PDF)

The Detection of Counterfeit Banknotes Using Ensemble Learning Techniques of AdaBoost and Voting

International Journal of Intelligent Engineering and Systems, 2021-02, Vol.14 (1), p.326-339

2021

Volltextzugriff (PDF)

A rapid learning algorithm for vehicle classification

Information sciences, 2015-02, Vol.295, p.395-406

2015

Volltextzugriff (PDF)

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

Catena (Giessen), 2020-04, Vol.187, p.104396, Article 104396

2020

Volltextzugriff (PDF)

Random Balance: Ensembles of variable priors classifiers for imbalanced data

Knowledge-based systems, 2015-09, Vol.85, p.96-111

2015

Volltextzugriff (PDF)

Analysis of machine learning strategies for prediction of passing undergraduate admission test

International journal of information management data insights, 2022-11, Vol.2 (2), p.100111, Article 100111

2022

Volltextzugriff (PDF)

Convolutional neural network based early fire detection

Multimedia tools and applications, 2020-04, Vol.79 (13-14), p.9083-9099

2020

Volltextzugriff (PDF)

ENHANCING MANUFACTURING EFFICIENCY WITH DYNAMIC FIREFLY-TUNED ADABOOST APPROACH FOR TALL BUILDING DESIGN

Proceedings on engineering sciences (Online), 2024-03, Vol.5 (4), p.419-430

2024

Volltextzugriff (PDF)

Adaptive robust Adaboost-based twin support vector machine with universum data

Information sciences, 2022-09, Vol.609, p.1334-1352

2022

Volltextzugriff (PDF)

Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon

Environmental pollution (1987), 2020-08, Vol.263, p.114587, Article 114587

2020

Volltextzugriff (PDF)

Application of Boosting Technique with C4.5 Algorithm to Reduce the Classification Error Rate in Online Shoppers Purchasing Intention

Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 2023-06, Vol.14 (2), p.1-11

2023

Volltextzugriff (PDF)

1 – 25 von 4.342

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(1.984)
Mit Volltextzugriff
(3.141)

Publikationsform

1 weiteren anzeigen...

Weniger anzeigen...

Sprache

10 weitere anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

Adaboost
(3.031)
Science & Technology
(2.326)
Technology
(2.050)
Machine Learning
(1.400)
Computer Science
(1.388)
Algorithms
(1.135)
Engineering
(1.095)
Engineering, Electrical & Electronic
(813)
Computer Science, Artificial Intelligence
(768)
Feature Extraction
(733)
Training
(656)
Support Vector Machines
(597)
Classification
(573)
Classification Algorithms
(456)
Accuracy
(455)
Computer Science, Theory & Methods
(454)
Adaboost Algorithm
(427)
Random Forest
(417)
Face Detection
(412)
Classifiers
(395)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(82)
... seit 30 Tagen
(24)

Menü

Weitere Dienste

Einstellungen

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

Performance optimization in ddos prediction with ensemble based approach

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost

The improved AdaBoost algorithms for imbalanced data classification

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting

Cascade AdaBoost Neural Network Classifier: Analysis and Design

An automated method for sleep staging from EEG signals using normal inverse Gaussian parameters and adaptive boosting

Sistem Deteksi Orang Jatuh Dengan Menggunakan Sensor Kamera Kinect Dengan Metode AdaBoost

Self-adaptive cost weights-based support vector machine cost-sensitive ensemble for imbalanced data classification

SWIPENET: Object detection in noisy underwater scenes

Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance

A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling

Detection of Network Attacks using Machine Learning and Deep Learning Models

The Detection of Counterfeit Banknotes Using Ensemble Learning Techniques of AdaBoost and Voting

A rapid learning algorithm for vehicle classification

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

Random Balance: Ensembles of variable priors classifiers for imbalanced data

Analysis of machine learning strategies for prediction of passing undergraduate admission test

Convolutional neural network based early fire detection

ENHANCING MANUFACTURING EFFICIENCY WITH DYNAMIC FIREFLY-TUNED ADABOOST APPROACH FOR TALL BUILDING DESIGN

Adaptive robust Adaboost-based twin support vector machine with universum data

Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon

Application of Boosting Technique with C4.5 Algorithm to Reduce the Classification Error Rate in Online Shoppers Purchasing Intention

Suchergebnisse filtern