AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 1061 to 1070 of 1671 articles

Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy.

Magnetic resonance in medicine Jul 12, 2016
PURPOSE: Classification of pediatric brain tumors from H-magnetic resonance spectroscopy (MRS) can aid diagnosis and management of brain tumors. However, varied incidence of the different tumor types leads to imbalanced class sizes and introduces di...
Proton Magnetic Resonance Spectroscopy Sensitivity and Specificity Biomarkers, Tumor Brain Neoplasms Male Middle Aged Diagnosis, Computer-Assisted Pattern Recognition, Automated Machine Learning Algorithms Female Reproducibility of Results Humans
View on PubMed DOI

Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features.

Clinical EEG and neuroscience Jul 10, 2016
The life quality of patients with refractory epilepsy is extremely affected by abrupt and unpredictable seizures. A reliable method for predicting seizures is important in the management of refractory epilepsy. A critical factor in seizure prediction...
Reproducibility of Results Sensitivity and Specificity Male Disease Progression Algorithms Female Infant, Newborn Diagnosis, Differential Electroencephalography Epilepsy Pattern Recognition, Automated Diagnosis, Computer-Assisted Adolescent Child Support Vector Machine Humans
View on PubMed DOI

Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 7, 2016
In motor imagery brain-computer interfaces (BCIs), the symmetric positive-definite (SPD) covariance matrices of electroencephalogram (EEG) signals carry important discriminative information. In this paper, we intend to classify motor imagery EEG sign...
Algorithms Reproducibility of Results Sensitivity and Specificity Brain Mapping Humans Machine Learning Movement Evoked Potentials, Motor Imagination Electroencephalography Linear Models Pattern Recognition, Automated Brain-Computer Interfaces
View on PubMed DOI

Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN.

Australasian physical & engineering sciences in medicine Jul 4, 2016
Brain computer interface (BCI) is a new communication way between man and machine. It identifies mental task patterns stored in electroencephalogram (EEG). So, it extracts brain electrical activities recorded by EEG and transforms them machine contro...
Humans Least-Squares Analysis Electroencephalography Signal Processing, Computer-Assisted Pattern Recognition, Automated Brain-Computer Interfaces Task Performance and Analysis Adult Neural Networks, Computer Male Machine Learning Support Vector Machine Female Principal Component Analysis
View on PubMed DOI

Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning.

PloS one Jul 1, 2016
A key challenge in contemporary ecology and conservation is the accurate tracking of the spatial distribution of various human impacts, such as fishing. While coastal fisheries in national waters are closely monitored in some countries, existing maps...
Spacecraft Machine Learning Animals Pattern Recognition, Automated Data Mining Fisheries
View on PubMed DOI

SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal.

IEEE transactions on bio-medical engineering Jun 29, 2016
OBJECTIVE: This paper describes a data-analytic modeling approach for the prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics o...
Humans Algorithms Reproducibility of Results Epilepsy Sensitivity and Specificity Dogs Animals Pattern Recognition, Automated Electrocorticography Diagnosis, Computer-Assisted Support Vector Machine
View on PubMed DOI

Machine learning based methodology to identify cell shape phenotypes associated with microenvironmental cues.

Biomaterials Jun 25, 2016
Cell morphology has been identified as a potential indicator of stem cell response to biomaterials. However, determination of cell shape phenotype in biomaterials is complicated by heterogeneous cell populations, microenvironment heterogeneity, and m...
Cell Size Mechanotransduction, Cellular Cellular Microenvironment Machine Learning Cells, Cultured Phenotype Humans Mesenchymal Stem Cells Microscopy Image Interpretation, Computer-Assisted Pattern Recognition, Automated
View on PubMed DOI

Extreme learning machine and adaptive sparse representation for image classification.

Neural networks : the official journal of the International Neural Network Society Jun 23, 2016
Recent research has shown the speed advantage of extreme learning machine (ELM) and the accuracy advantage of sparse representation classification (SRC) in the area of image classification. Those two methods, however, have their respective drawbacks,...
Humans Machine Learning Algorithms Reproducibility of Results Pattern Recognition, Automated Photic Stimulation Pattern Recognition, Visual
View on PubMed DOI

Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.

NeuroImage Jun 10, 2016
Parkinson's disease (PD) is an overwhelming neurodegenerative disorder caused by deterioration of a neurotransmitter, known as dopamine. Lack of this chemical messenger impairs several brain regions and yields various motor and non-motor symptoms. In...
Humans Algorithms Brain Female Sensitivity and Specificity Male Middle Aged Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Pattern Recognition, Automated Parkinson Disease Image Enhancement Unsupervised Machine Learning
View on PubMed DOI

TaggerOne: joint named entity recognition and normalization with semi-Markov Models.

Bioinformatics (Oxford, England) Jun 9, 2016
MOTIVATION: Text mining is increasingly used to manage the accelerating pace of the biomedical literature. Many text mining applications depend on accurate named entity recognition (NER) and normalization (grounding). While high performing machine le...
Terminology as Topic Disease Software Forecasting Computational Biology Knowledge Bases Data Mining Information Storage and Retrieval Semantics Pattern Recognition, Automated Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals