Electroencephalography signals-based sparse networks integration using a fuzzy ensemble technique for depression detection

Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression

(2022) Surbhi Soni et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

(2022) Yang Nan et al.   Information Fusion

Frontal asymmetry as a core feature of major depression: a functional near-infrared spectroscopy study

(2022) Hsiang-Jung Tseng et al.   JOURNAL OF PSYCHIATRY & NEUROSCIENCE

Abnormal brain gray matter volume in patients with major depressive disorder: Associated with childhood trauma?

(2022) Yahui Liu et al.   JOURNAL OF AFFECTIVE DISORDERS

Automatic drowsiness detection for safety-critical operations using ensemble models and EEG signals

(2022) Plínio M.S. Ramos et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A robust and efficient EEG-based drowsiness detection system using different machine learning algorithms

(2022) Islam A. Fouad   Ain Shams Engineering Journal

EEG analysis of Parkinson's disease using time–frequency analysis and deep learning

(2022) Ruilin Zhang et al.   Biomedical Signal Processing and Control

A Study of 309 Patients and at One Year Follow-Up for Depression after Traumatic Brain Injury

(2022) Mun Choon Looi et al.   JOURNAL OF NEUROTRAUMA

Local Pattern Transformation-Based convolutional neural network for sleep stage scoring

(2022) Hasan Zan et al.   Biomedical Signal Processing and Control

Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals

(2022) Gulay Tasci et al.   KNOWLEDGE-BASED SYSTEMS

Multi-view low rank sparse representation method for three-way clustering

(2021) Ghufran Ahmad Khan et al.   International Journal of Machine Learning and Cybernetics

Alzheimer’s disease classification using pre-trained deep networks

(2021) Jayanthi Venkatraman Shanmugam et al.   Biomedical Signal Processing and Control

Drowsiness detection using portable wireless EEG

(2021) Sagila Gangadharan K et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble

(2021) Rohit Kundu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

(2021) Guang Yang et al.   Information Fusion

COFE-Net: An ensemble strategy for Computer-Aided Detection for COVID-19

(2021) Avinandan Banerjee et al.   MEASUREMENT

Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture

(2021) Erdem Tuncer et al.   Biomedical Signal Processing and Control

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

(2020) Caglar Uyulan et al.   CLINICAL EEG AND NEUROSCIENCE

Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach

(2020) Abdolkarim Saeedi et al.   Cognitive Neurodynamics

An EEG Database and Its Initial Benchmark Emotion Classification Performance

(2020) Ayan Seal et al.   Computational and Mathematical Methods in Medicine

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

(2020) Afshin Shoeibi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fuzzy Integral-Based CNN Classifier Fusion for 3D Skeleton Action Recognition

(2020) Avinandan Banerjee et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Human stress classification using EEG signals in response to music tracks

(2019) Anum Asif et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals

(2019) Betul Ay et al.   JOURNAL OF MEDICAL SYSTEMS

Depression recognition using machine learning methods with different feature generation strategies

(2019) Xiaowei Li et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Modeling uncertain data using Monte Carlo integration method for clustering

(2019) Krishna Kumar Sharma et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automated EEG-based screening of depression using deep convolutional neural network

(2018) U. Rajendra Acharya et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure

(2018) Andre G.C. Pacheco et al.   NEUROCOMPUTING

A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

(2017) Wajid Mumtaz et al.   PLoS One

Functional grouping of similar genes using eigenanalysis on minimum spanning tree based neighborhood graph

(2016) R. Jothi et al.   COMPUTERS IN BIOLOGY AND MEDICINE