Deep Neural Network Ensembles Using Class-vs-Class Weighting

Deep Neural Network Ensembles Using Class-vs-Class Weighting

Ensembling is a popular and powerful technique to utilize predictions from several different machine learning models. The fundamental precondition of a well-working ensemble model is a diverse set of combined constituents. Rapid development in the deep learning field provides an ever-increasing pale...

Full description

Bibliographic Details
Main Authors:	Rene Fabricius, Ondrej Such, Peter Tarabek
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Pairwise coupling multi-class classification deep neural networks deep ensembles linear discriminant analysis homoscedastic data
Online Access:	https://ieeexplore.ieee.org/document/10190625/

Similar Items

Ensembles of deep one-class classifiers for multi-class image classification
by: Alexander Novotny, et al.
Published: (2025-03-01)

Enhancing Early-Stage Diabetic Retinopathy Detection Using a Weighted Ensemble of Deep Neural Networks
by: Kinza Nazir, et al.
Published: (2024-01-01)

Ensemble Learning with Highly Variable Class-Based Performance
by: Brandon Warner, et al.
Published: (2024-09-01)

Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding
by: Jian Wang, et al.
Published: (2023-03-01)

Class Imbalance in Network Traffic Classification: An Adaptive Weight Ensemble-of-Ensemble Learning Method
by: Mahmoud Abbasi, et al.
Published: (2025-01-01)

Class Discriminative Universal Adversarial Attack for Text Classification
by: HAO Zhi-rong, CHEN Long, HUANG Jia-cheng
Published: (2022-08-01)

Improving Multi-Class Classification on 5-Celebrity-Faces Dataset using Ensemble Classification Methods
by: Nurul Rismayanti, et al.
Published: (2023-07-01)

Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening
by: Peng Guo, et al.
Published: (2020-07-01)

A Novel Decision Level Class-Wise Ensemble Method in Deep Learning for Automatic Multi-Class Classification of HER2 Breast Cancer Hematoxylin-Eosin Images
by: Pateel G. P, et al.
Published: (2024-01-01)

A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification
by: Arindam Halder, et al.
Published: (2025-02-01)

Minima Possible Weights: A Homogenous Deep Ensemble Method for Cross-Subject Motor Imagery Classification
by: Quang Pham Lam Dinh, et al.
Published: (2025-01-01)

Universal Multi-class Ensemble Method with Self Adaptive Weights
by: WEI Jun-sheng, LIU Yan, CHEN Jing, DUAN Shun-ran
Published: (2022-11-01)

Pneumonia Detection on Chest X-ray Images Using Ensemble of Deep Convolutional Neural Networks
by: Alhassan Mabrouk, et al.
Published: (2022-06-01)

Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering
by: Nikolai A. K. Steur, et al.
Published: (2023-01-01)

A comprehensive review on ensemble deep learning: Opportunities and challenges
by: Ammar Mohammed, et al.
Published: (2023-02-01)

Ensembles of Deep Neural Networks for the Automatic Detection of Building Facade Defects From Images
by: Matteo Interlando, et al.
Published: (2024-01-01)

Improving Accuracy and Calibration of Deep Image Classifiers With Agreement-Driven Dynamic Ensemble
by: Pedro Conde, et al.
Published: (2025-01-01)

Classification of Skin Lesions Using Weighted Majority Voting Ensemble Deep Learning
by: Damilola A. Okuboyejo, et al.
Published: (2022-11-01)

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing
by: Jakub Nalepa, et al.
Published: (2021-10-01)

CECAV-DNN: Collective Ensemble Comparison and Visualization using Deep Neural Networks
by: Wenbin He, et al.
Published: (2020-06-01)

An improved selective ensemble learning approach in enabling load classification considering base classifier redundancy and class imbalance
by: Shiqian Wang, et al.
Published: (2022-09-01)

Bayesian linear regression model for method comparison studies
by: S.M.M. Lakmali, et al.
Published: (2022-03-01)

Classifier Ensemble Framework: a Diversity Based Approach
by: Hamid Parvin, et al.
Published: (2016-09-01)

Deep-Learning-Based Classification of Bangladeshi Medicinal Plants Using Neural Ensemble Models
by: A. Hasib Uddin, et al.
Published: (2023-08-01)

Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2SE)
by: N. Sasikaladevi, et al.
Published: (2025-01-01)

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data
by: Jorge Rodríguez, et al.
Published: (2016-09-01)

Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images
by: Omer Turk, et al.
Published: (2024-05-01)

A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling
by: Gouri Shankar Chakraborty, et al.
Published: (2023-05-01)

Driver Distraction Classification Using Deep Convolutional Autoencoder and Ensemble Learning
by: Anirudh Muthuswamy, et al.
Published: (2023-01-01)

An Ordered Aggregation-Based Ensemble Selection Method of Lightweight Deep Neural Networks With Random Initialization
by: Lin He, et al.
Published: (2022-01-01)

Automated Detection of Koalas with Deep Learning Ensembles
by: Megan Winsen, et al.
Published: (2022-05-01)

RS-DeepSuperLearner: fusion of CNN ensemble for remote sensing scene classification
by: Haikel Alhichri
Published: (2023-01-01)

Sparsity Increases Uncertainty Estimation in Deep Ensemble
by: Uyanga Dorjsembe, et al.
Published: (2021-04-01)

Gender and class discriminations from Parvin Etesami’s view
by: Abolfazl Zolfaghari, et al.
Published: (2011-02-01)

Using microscopic imaging and ensemble deep learning to classify the provenance of archaeological ceramics
by: Qian Wang, et al.
Published: (2024-12-01)

Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
by: Zabit Hameed, et al.
Published: (2020-08-01)

Deep Neural Networks Classification via Binary Error-Detecting Output Codes
by: Martin Klimo, et al.
Published: (2021-04-01)

Multi-Class Classification of Lung Diseases Using CNN Models
by: Min Hong, et al.
Published: (2021-10-01)

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
by: Wilson Bakasa, et al.
Published: (2023-10-01)

Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition
by: Gulnaz Perveen, et al.
Published: (2023-01-01)