An Ensemble Feature Selection Approach to Identify Relevant Features from EEG Signals

EEG-based emotion recognition using simple recurrent units network and ensemble learning

(2020) Chen Wei et al.   Biomedical Signal Processing and Control

Revisiting the relations between Hurst exponent and fractional differencing parameter for long memory

(2020) Liang Ding et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Cross-subject driver status detection from physiological signals based on hybrid feature selection and transfer learning

(2019) Lan-lan Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients

(2019) Jinhua Sheng et al.   BEHAVIOURAL BRAIN RESEARCH

Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds

(2019) Dihong JIANG et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A review of feature selection methods in medical applications

(2019) Beatriz Remeseiro et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG

(2019) Poomipat Boonyakitanont et al.   Biomedical Signal Processing and Control

Phase-synchrony evaluation of EEG signals for Multiple Sclerosis diagnosis based on bivariate empirical mode decomposition during a visual task

(2019) Khadijeh Raeisi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An ensemble learning system for a 4-way classification of Alzheimer’s disease and mild cognitive impairment

(2018) Dongren Yao et al.   JOURNAL OF NEUROSCIENCE METHODS

Diagnostic challenges in epilepsy: seizure under-reporting and seizure detection

(2018) Christian E Elger et al.   LANCET NEUROLOGY

Signal Pattern Recognition Based on Fractal Features and Machine Learning

(2018) Chang-Ting Shi   Applied Sciences-Basel

Classification of inter-ictal and ictal EEGs using multi-basis MODWPT, dimensionality reduction algorithms and LS-SVM: A comparative study

(2018) Tao Zhang et al.   Biomedical Signal Processing and Control

A novel automatic satire and irony detection using ensembled feature selection and data mining

(2017) Kumar Ravi et al.   KNOWLEDGE-BASED SYSTEMS

Ensemble feature selection: Homogeneous and heterogeneous approaches

(2017) B. Seijo-Pardo et al.   KNOWLEDGE-BASED SYSTEMS

Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry

(2017) ALOK KUMAR CHOWDHURY et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

Interictal spikes and epileptic seizures: their relationship and underlying rhythmicity

(2016) Philippa J. Karoly et al.   BRAIN

Hybrid Framework Using Multiple-Filters and an Embedded Approach for an Efficient Selection and Classification of Microarray Data

(2016) Edmundo Bonilla-Huerta et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Classifier ensemble selection based on affinity propagation clustering

(2016) Jun Meng et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Improving classification of epileptic and non-epileptic EEG events by feature selection

(2016) Evangelia Pippa et al.   NEUROCOMPUTING

Learning in high-dimensional multimedia data: the state of the art

(2015) Lianli Gao et al.   MULTIMEDIA SYSTEMS

Principles of time–frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection

(2015) Boualem Boashash et al.   PATTERN RECOGNITION

Signal processing techniques applied to human sleep EEG signals—A review

(2014) Shayan Motamedi-Fakhr et al.   Biomedical Signal Processing and Control

A review of microarray datasets and applied feature selection methods

(2014) V. Bolón-Canedo et al.   INFORMATION SCIENCES

EEG signal classification for epilepsy diagnosis via optimum path forest – A systematic assessment

(2014) Thiago M. Nunes et al.   NEUROCOMPUTING