EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks

Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

(2020) Sudhanshu Kumar et al.   Electronics

Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognition

(2020) Dami Jeong et al.   SENSORS

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

(2020) Amin Ullah et al.   Remote Sensing

Detection Analysis of Epileptic EEG Using a Novel Random Forest Model Combined With Grid Search Optimization

(2019) Xiashuang Wang et al.   Frontiers in Human Neuroscience

Deep learning-based electroencephalography analysis: a systematic review

(2019) Yannick Roy et al.   Journal of Neural Engineering

Early Alzheimer’s disease diagnosis based on EEG spectral images using deep learning

(2019) Xiaojun Bi et al.   NEURAL NETWORKS

EEG-Based Age and Gender Prediction Using Deep BLSTM-LSTM Network Model

(2018) Pallavi Kaushik et al.   IEEE SENSORS JOURNAL

Nonconvulsive seizures are common in critically ill children

(2011) N. S. Abend et al.   NEUROLOGY

A limited memory BFGS-type method for large-scale unconstrained optimization

(2008) Yunhai Xiao et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

Support Vector Machines and Kernels for Computational Biology

(2008) Asa Ben-Hur et al.   PLoS Computational Biology