AIMC Topic: Pattern Recognition, Automated

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Entity recognition in the biomedical domain using a hybrid approach.

Journal of biomedical semantics Nov 9, 2017
BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles.
Machine Learning Algorithms Reproducibility of Results Neural Networks, Computer Pattern Recognition, Automated Terminology as Topic Vocabulary, Controlled Data Mining Semantics
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Margined winner-take-all: New learning rule for pattern recognition.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2017
The neocognitron is a deep (multi-layered) convolutional neural network that can be trained to recognize visual patterns robustly. In the intermediate layers of the neocognitron, local features are extracted from input patterns. In the deepest layer,...
Pattern Recognition, Automated Neural Networks, Computer Machine Learning Computer Simulation Cognition Algorithms
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Matrix completion by deep matrix factorization.

Neural networks : the official journal of the International Neural Network Society Nov 3, 2017
Conventional methods of matrix completion are linear methods that are not effective in handling data of nonlinear structures. Recently a few researchers attempted to incorporate nonlinear techniques into matrix completion but there still exists consi...
Neural Networks, Computer Machine Learning Pattern Recognition, Automated
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Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.

Journal of neuroscience methods Nov 2, 2017
BACKGROUND: Alzheimer's disease (AD) is the most common cause of neurodegenerative dementia in the elderly population. Scientific research is very active in the challenge of designing automated approaches to achieve an early and certain diagnosis. Re...
Early Diagnosis Pattern Recognition, Automated Male Alzheimer Disease Brain Cognitive Dysfunction Image Interpretation, Computer-Assisted Humans Female Databases, Factual ROC Curve Support Vector Machine Aged Magnetic Resonance Imaging
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Improving individual predictions: Machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases).

Schizophrenia research Nov 1, 2017
Psychiatric diseases are very heterogeneous both in clinical manifestation and etiology. With the recent rise of using machine learning techniques to attempt to diagnose and prognose these disorders, the issue of heterogeneity becomes increasingly im...
Humans Prognosis Schizophrenia Pattern Recognition, Automated Machine Learning Precision Medicine
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Endoscopic Image Classification and Retrieval using Clustered Convolutional Features.

Journal of medical systems Oct 30, 2017
With the growing use of minimally invasive surgical procedures, endoscopic video archives are growing at a rapid pace. Efficient access to relevant content in such huge multimedia archives require compact and discriminative visual features for indexi...
Information Storage and Retrieval Pattern Recognition, Automated Multimedia Endoscopy Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Maximum entropy methods for extracting the learned features of deep neural networks.

PLoS computational biology Oct 30, 2017
New architectures of multilayer artificial neural networks and new methods for training them are rapidly revolutionizing the application of machine learning in diverse fields, including business, social science, physical sciences, and biology. Interp...
Algorithms Entropy Computer Simulation Models, Statistical Sequence Analysis, DNA Pattern Recognition, Automated Neural Networks, Computer Machine Learning
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A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.

Computer assisted surgery (Abingdon, England) Oct 26, 2017
BACKGROUND AND OBJECTIVE: Image segmentation is a preliminary and fundamental step in computer aided magnetic resonance imaging (MRI) images analysis. But the performance of most current image segmentation methods is easily depreciated by noise in MR...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Cluster Analysis Fuzzy Logic Brain Markov Chains
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Web-Enabled Distributed Health-Care Framework for Automated Malaria Parasite Classification: an E-Health Approach.

Journal of medical systems Oct 26, 2017
Web-enabled e-healthcare system or computer assisted disease diagnosis has a potential to improve the quality and service of conventional healthcare delivery approach. The article describes the design and development of a web-based distributed health...
Algorithms Image Processing, Computer-Assisted Malaria Internet Bayes Theorem Humans Machine Learning Blood Specimen Collection Telemedicine Pattern Recognition, Automated
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Search for an Appropriate Behavior within the Emotional Regulation in Virtual Creatures Using a Learning Classifier System.

Computational intelligence and neuroscience Oct 25, 2017
Emotion regulation is a process by which human beings control emotional behaviors. From neuroscientific evidence, this mechanism is the product of conscious or unconscious processes. In particular, the mechanism generated by a conscious process needs...
Models, Biological Computer Simulation Humans Pattern Recognition, Automated User-Computer Interface Behavior Machine Learning Emotions
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