Cargando…

Novel Meta-Learning Techniques for the Multiclass Image Classification Problem

Multiclass image classification is a complex task that has been thoroughly investigated in the past. Decomposition-based strategies are commonly employed to address it. Typically, these methods divide the original problem into smaller, potentially simpler problems, allowing the application of numero...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vogiatzis, Antonios, Orfanoudakis, Stavros, Chalkiadakis, Georgios, Moirogiorgou, Konstantia, Zervakis, Michalis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824698/ https://www.ncbi.nlm.nih.gov/pubmed/36616606 http://dx.doi.org/10.3390/s23010009

Ejemplares similares

A UAV Intelligent System for Greek Power Lines Monitoring
por: Tsellou, Aikaterini, et al.
Publicado: (2023)

Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning
por: Eltoukhy, Mohamed Meselhy, et al.
Publicado: (2022)

Weighted Decoding for the Competence Reliability Problem of ECOC Multiclass Classification
por: Lei, Lei, et al.
Publicado: (2021)

Deep Learning Capabilities for the Categorization of Microcalcification
por: Kumar Singh, Koushlendra, et al.
Publicado: (2022)

A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images
por: Khan, Rizwan, et al.
Publicado: (2023)

Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic Masses
por: Nakata, Norio, et al.
Publicado: (2023)

Multiclass Convolution Neural Network for Classification of COVID-19 CT Images
por: Woan Ching, Serena Low, et al.
Publicado: (2022)

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning
por: Wang, H., et al.
Publicado: (2021)

Multiclass Classification Based on Combined Motor Imageries
por: Lindig-León, Cecilia, et al.
Publicado: (2020)

Efficient Feature Selection and Multiclass Classification with Integrated Instance and Model Based Learning
por: Liu, Zhenqiu, et al.
Publicado: (2012)

Testing Segmentation Popular Loss and Variations in Three Multiclass Medical Imaging Problems
por: Furtado, Pedro
Publicado: (2021)

Multiclass classification of autofluorescence images of oral cavity lesions based on quantitative analysis
por: Jeng, Ming-Jer, et al.
Publicado: (2020)

Enhancing Confusion Entropy (CEN) for binary and multiclass classification
por: Delgado, Rosario, et al.
Publicado: (2019)

Mexican Hat Wavelet Kernel ELM for Multiclass Classification
por: Wang, Jie, et al.
Publicado: (2017)

Online Algorithms for Multiclass Classification Using Partial Labels
por: Bhattacharjee, Rajarshi, et al.
Publicado: (2020)

A Multiclass Classification Model for Tooth Removal Procedures
por: de Graaf, W.M., et al.
Publicado: (2022)

Automatic Detection of Epilepsy and Seizure Using Multiclass Sparse Extreme Learning Machine Classification
por: Wang, Yuanfa, et al.
Publicado: (2017)

High-precision multiclass cell classification by supervised machine learning on lectin microarray data
por: Shibata, Mayu, et al.
Publicado: (2020)

Tracking Foot Drop Recovery Following Lumbar-Spine Surgery, Applying Multiclass Gait Classification Using Machine Learning Techniques
por: Sharif Bidabadi, Shiva, et al.
Publicado: (2019)

Multiclass Image Classification Using GANs and CNN Based on Holes Drilled in Laminated Chipboard
por: Wieczorek, Grzegorz, et al.
Publicado: (2021)

DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images
por: Sanga, Prabhav, et al.
Publicado: (2023)

Multiclass classification of microarray data with repeated measurements: application to cancer
por: Yeung, Ka Yee, et al.
Publicado: (2003)

Stable feature selection and classification algorithms for multiclass microarray data
por: Student, Sebastian, et al.
Publicado: (2012)

Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
por: Liu, Wuying, et al.
Publicado: (2014)

Multiclass Disease Classification from Microbial Whole-Community Metagenomes
por: Khan, Saad, et al.
Publicado: (2020)

Correction: Enhancing Confusion Entropy (CEN) for binary and multiclass classification
por: Delgado, Rosario, et al.
Publicado: (2021)

Kurdish News Dataset Headlines (KNDH) through multiclass classification
por: Badawi, Soran, et al.
Publicado: (2023)

Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy
por: Zarinabad, Niloufar, et al.
Publicado: (2016)

Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine
por: Afza, Farhat, et al.
Publicado: (2022)

A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification
por: Arshad, Mehak, et al.
Publicado: (2021)

Multiclass Classification of Chest X-Ray Images for the Prediction of COVID-19 Using Capsule Network
por: Ragab, Mahmoud, et al.
Publicado: (2022)

Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction
por: Kishore, Bhamidipati, et al.
Publicado: (2022)

A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine
por: Wajeed, Mohammed Abdul, et al.
Publicado: (2023)

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
por: Olsen, Alex, et al.
Publicado: (2019)

Comparison between Statistical Models and Machine Learning Methods on Classification for Highly Imbalanced Multiclass Kidney Data
por: Jeong, Bomi, et al.
Publicado: (2020)

DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins
por: Cui, Feifei, et al.
Publicado: (2022)

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
por: Khan, Muhammad Attique, et al.
Publicado: (2021)

Deep learning-based automated detection and multiclass classification of focal interictal epileptiform discharges in scalp electroencephalograms
por: Chung, Yoon Gi, et al.
Publicado: (2023)

Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification
por: Vasques, Xavier, et al.
Publicado: (2023)

Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classification
por: Sethanan, Kanchana, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_v49m5bjatl6467uh87rt19a8gb