Feature extraction based on sparse graphs embedding for automatic depression detection

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

(2023) Surbhi Soni et al.   Biomedical Signal Processing and Control

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

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

Benchmarks for machine learning in depression discrimination using electroencephalography signals

(2022) Ayan Seal et al.   APPLIED INTELLIGENCE

Multivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data

(2022) Luis Bote-Curiel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Symptom severity moderates the outcome of attention bias modification for depression: An exploratory study

(2021) Ragnhild Bø et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Depression Analysis and Recognition Based on Functional Near-Infrared Spectroscopy

(2021) Rui Wang et al.   IEEE Journal of Biomedical and Health Informatics

Attentional biases in depression: Relation to disorder severity, rumination, and anhedonia

(2020) Audrey Krings et al.   COMPREHENSIVE PSYCHIATRY

Classifying Major Depressive Disorder Using fNIRS During Motor Rehabilitation

(2020) Yibo Zhu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Robust Manhattan non-negative matrix factorization for image recovery and representation

(2020) Xiangguang Dai et al.   INFORMATION SCIENCES

Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder

(2020) Syeda Fabeha Husain et al.   Scientific Reports

Revisiting L 2,1-Norm Robustness With Vector Outlier Regularization

(2020) Bo Jiang et al.   IEEE Transactions on Neural Networks and Learning Systems

Attention bias modification in depression: A randomized trial using a novel, reward-based, eye-tracking approach

(2020) Stephanie M. Woolridge et al.   JOURNAL OF BEHAVIOR THERAPY AND EXPERIMENTAL PSYCHIATRY

The Economic Case for the Prevention of Mental Illness

(2019) David McDaid et al.   Annual Review of Public Health

Effects of music therapy on major depressive disorder: A study of prefrontal hemodynamic functions using fNIRS

(2019) Kun Feng et al.   PSYCHIATRY RESEARCH

The neural systems of emotion regulation and abnormalities in major depressive disorder

(2019) Caroline Park et al.   BEHAVIOURAL BRAIN RESEARCH

Algorithms and Comparisons of Nonnegative Matrix Factorizations With Volume Regularization for Hyperspectral Unmixing

(2019) Andersen Man Shun Ang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Deep Non-Negative Matrix Factorization Architecture Based on Underlying Basis Images Learning

(2019) Yang Zhao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Generalized Robust Regression for Jointly Sparse Subspace Learning

(2018) Zhihui Lai et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation

(2018) Leyuan Fang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An Edge-based Architecture to Support Efficient Applications for Healthcare Industry 4.0

(2018) Pasquale Pace et al.   IEEE Transactions on Industrial Informatics

A Novel Digital Watermarking Based on General Non-Negative Matrix Factorization

(2018) Zigang Chen et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Intersession Instability in fNIRS-Based Emotion Recognition

(2018) Feichi Wang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Attributed community mining using joint general non-negative matrix factorization with graph Laplacian

(2018) Zigang Chen et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Robust Structured Nonnegative Matrix Factorization for Image Representation

(2018) Zechao Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Multiobjective Sparse Non-Negative Matrix Factorization

(2018) Maoguo Gong et al.   IEEE Transactions on Cybernetics

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation

(2018) Yan Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Cognitive bias modification: A review of meta-analyses

(2017) Emma B. Jones et al.   JOURNAL OF AFFECTIVE DISORDERS

Rotational Invariant Dimensionality Reduction Algorithms

(2017) Zhihui Lai et al.   IEEE Transactions on Cybernetics

Learning Microbial Community Structures with Supervised and Unsupervised Non-negative Matrix Factorization

(2017) Yun Cai et al.   Microbiome

The L 2,1 -norm-based unsupervised optimal feature selection with applications to action recognition

(2016) Jiajun Wen et al.   PATTERN RECOGNITION

Mayer waves reduce the accuracy of estimated hemodynamic response functions in functional near-infrared spectroscopy

(2016) Meryem A. Yücel et al.   Biomedical Optics Express

Gene Ranking of RNA-Seq Data via Discriminant Non-Negative Matrix Factorization

(2015) Zhilong Jia et al.   PLoS One

Face recognition by sparse discriminant analysis via joint L2,1-norm minimization

(2014) Xiaoshuang Shi et al.   PATTERN RECOGNITION

Automated Graph Regularized Projective Nonnegative Matrix Factorization for Document Clustering

(2014) Xiaobing Pei et al.   IEEE Transactions on Cybernetics

Feature selection techniques with class separability for multivariate time series

(2013) Min Han et al.   NEUROCOMPUTING

Machine Learning Source Separation Using Maximum a Posteriori Nonnegative Matrix Factorization

(2013) Bin Gao et al.   IEEE Transactions on Cybernetics

A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech

(2012) Soo-Young Lee et al.   Cognitive Neurodynamics