Cargando…

EEG-Based Emotion Classification Using Stacking Ensemble Approach

Rapid advancements in the medical field have drawn much attention to automatic emotion classification from EEG data. People’s emotional states are crucial factors in how they behave and interact physiologically. The diagnosis of patients’ mental disorders is one potential medical use. When feeling w...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chatterjee, Subhajit, Byun, Yung-Cheol
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654664/ https://www.ncbi.nlm.nih.gov/pubmed/36366249 http://dx.doi.org/10.3390/s22218550

Ejemplares similares

Voting Ensemble Approach for Enhancing Alzheimer’s Disease Classification
por: Chatterjee, Subhajit, et al.
Publicado: (2022)

Multi-Fault Detection and Classification of Wind Turbines Using Stacking Classifier
por: Waqas Khan, Prince, et al.
Publicado: (2022)

A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels
por: Khan, Prince Waqas, et al.
Publicado: (2023)

Automatic Sleep-Arousal Detection with Single-Lead EEG Using Stacking Ensemble Learning
por: Chien, Ying-Ren, et al.
Publicado: (2021)

A stacking ensemble deep learning approach to cancer type classification based on TCGA data
por: Mohammed, Mohanad, et al.
Publicado: (2021)

A Synthetic Data Generation Technique for Enhancement of Prediction Accuracy of Electric Vehicles Demand
por: Chatterjee, Subhajit, et al.
Publicado: (2023)

Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods
por: Al-Azzwi, Zobeda Hatif Naji, et al.
Publicado: (2023)

Comparing Stacking Ensemble Techniques to Improve Musculoskeletal Fracture Image Classification
por: Kandel, Ibrahem, et al.
Publicado: (2021)

Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble
por: Xiong, Yueling, et al.
Publicado: (2021)

Darknet traffic analysis, and classification system based on modified stacking ensemble learning algorithms
por: Almomani, Ammar
Publicado: (2023)

A New Approach for Gastrointestinal Tract Findings Detection and Classification: Deep Learning-Based Hybrid Stacking Ensemble Models
por: Sivari, Esra, et al.
Publicado: (2023)

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
por: Bakasa, Wilson, et al.
Publicado: (2023)

Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition
por: Shen, Fangyao, et al.
Publicado: (2021)

Ensemble Approach for Detection of Depression Using EEG Features
por: Avots, Egils, et al.
Publicado: (2022)

An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications
por: Shah, Syed Mohsin Ali, et al.
Publicado: (2022)

An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach
por: R., Sivashankari, et al.
Publicado: (2022)

A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability
por: Feng, Junyuan, et al.
Publicado: (2023)

An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks
por: Baccouche, Asma, et al.
Publicado: (2022)

Cardiovascular and Diabetes Diseases Classification Using Ensemble Stacking Classifiers with SVM as a Meta Classifier
por: Khan, Asfandyar, et al.
Publicado: (2022)

A Multistage Heterogeneous Stacking Ensemble Model for Augmented Infant Cry Classification
por: Joshi, Vinayak Ravi, et al.
Publicado: (2022)

Online Learning for Wearable EEG-Based Emotion Classification
por: Moontaha, Sidratul, et al.
Publicado: (2023)

Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network
por: Vafaei, Elnaz, et al.
Publicado: (2023)

Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework
por: Chao, Hao, et al.
Publicado: (2018)

EEG-based emotion recognition using hybrid CNN and LSTM classification
por: Chakravarthi, Bhuvaneshwari, et al.
Publicado: (2022)

Improving EEG-Based Emotion Classification Using Conditional Transfer Learning
por: Lin, Yuan-Pin, et al.
Publicado: (2017)

A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction
por: Khoshkangini, Reza, et al.
Publicado: (2023)

An R package for ensemble learning stacking
por: Nukui, Taichi, et al.
Publicado: (2023)

Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose
por: Ma, Zhiyuan, et al.
Publicado: (2018)

Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models
por: Kim, Yong-Woon, et al.
Publicado: (2021)

Design of Ensemble Stacked Auto-Encoder for Classification of Horse Gaits with MEMS Inertial Sensor Technology
por: Lee, Jae-Neung, et al.
Publicado: (2018)

Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal
por: Sakalle, Aditi, et al.
Publicado: (2022)

Predicting inflation component drivers in Nigeria: a stacked ensemble approach
por: Akande, Emmanuel O., et al.
Publicado: (2022)

Stack-VTP: prediction of vesicle transport proteins based on stacked ensemble classifier and evolutionary information
por: Chen, Yu, et al.
Publicado: (2023)

Stacking Ensemble Technique for Classifying Breast Cancer
por: Kwon, Hyunjin, et al.
Publicado: (2019)

Mortality prediction in ICU Using a Stacked Ensemble Model
por: Ren, Na, et al.
Publicado: (2022)

Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors
por: Chang, Chi-Chang, et al.
Publicado: (2021)

Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification
por: Emsawas, Taweesak, et al.
Publicado: (2022)

EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network
por: Dai, Jinxiao, et al.
Publicado: (2022)

EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model
por: Zeng, Hong, et al.
Publicado: (2019)

StackEPI: identification of cell line-specific enhancer–promoter interactions based on stacking ensemble learning
por: Fan, Yongxian, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_i2n3rb9eoavb9bhufe2abfqf7k