AIMC Topic: Algorithms

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Visualizing deep neural network by alternately image blurring and deblurring.

Neural networks : the official journal of the International Neural Network Society Oct 10, 2017
Visualization from trained deep neural networks has drawn massive public attention in recent. One of the visualization approaches is to train images maximizing the activation of specific neurons. However, directly maximizing the activation would lead...
Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Neurons
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A dictionary learning approach for human sperm heads classification.

Computers in biology and medicine Oct 10, 2017
BACKGROUND AND OBJECTIVE: To diagnose infertility in men, semen analysis is conducted in which sperm morphology is one of the factors that are evaluated. Since manual assessment of sperm morphology is time-consuming and subjective, automatic classifi...
Humans Machine Learning Sperm Head Male Algorithms Microscopy Image Interpretation, Computer-Assisted
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An attention-based effective neural model for drug-drug interactions extraction.

BMC bioinformatics Oct 10, 2017
BACKGROUND: Drug-drug interactions (DDIs) often bring unexpected side effects. The clinical recognition of DDIs is a crucial issue for both patient safety and healthcare cost control. However, although text-mining-based systems explore various method...
Humans Neural Networks, Computer Algorithms Drug Interactions Databases as Topic Models, Theoretical Support Vector Machine Publications
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Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect.

Scientific reports Oct 9, 2017
Many drugs commonly prescribed during pregnancy lack a fetal safety recommendation - called FDA 'category C' drugs. This study aims to classify these drugs into harmful and safe categories using knowledge gained from chemoinformatics (i.e., pharmacol...
Embryo Loss United States Food and Drug Administration Databases as Topic Fetus Models, Theoretical Drug-Related Side Effects and Adverse Reactions Machine Learning Algorithms Female Adult Infant United States Humans
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Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein Structure.

Molecules (Basel, Switzerland) Oct 9, 2017
Protein structure and protein function should be related, yet the nature of this relationship remains unsolved. Mapping the critical residues for protein function with protein structure features represents an opportunity to explore this relationship,...
Structure-Activity Relationship Models, Molecular Protein Conformation Machine Learning Algorithms Proteins
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Improving the Accuracy and Training Speed of Motor Imagery Brain-Computer Interfaces Using Wavelet-Based Combined Feature Vectors and Gaussian Mixture Model-Supervectors.

Sensors (Basel, Switzerland) Oct 7, 2017
In this paper, we propose a set of wavelet-based combined feature vectors and a Gaussian mixture model (GMM)-supervector to enhance training speed and classification accuracy in motor imagery brain-computer interfaces. The proposed method is configur...
Brain-Computer Interfaces Support Vector Machine Wavelet Analysis Normal Distribution Electroencephalography Neurology Humans Models, Biological Algorithms
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Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.

Computers in biology and medicine Oct 6, 2017
Alzheimer's disease (AD) has been not only a substantial financial burden to the health care system but also an emotional burden to patients and their families. Making accurate diagnosis of AD based on brain magnetic resonance imaging (MRI) is becomi...
Nonlinear Dynamics Image Interpretation, Computer-Assisted Neuroimaging Cognitive Dysfunction Magnetic Resonance Imaging Humans Algorithms Alzheimer Disease Artificial Intelligence Brain
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Compensation for Magnetic Disturbances in Motion Estimation to Provide Feedback to Wearable Robotic Systems.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 6, 2017
The direction of the Earth's magnetic field is used as a reference vector to determine the heading in orientation estimation with wearable sensors. However, the magnetic field strength is weak and can be easily disturbed in the vicinity of ferromagne...
Sensation Magnetic Fields Magnetics Wearable Electronic Devices Robotics Motion Humans Algorithms Reproducibility of Results Feedback Biomechanical Phenomena
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Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Oct 6, 2017
Complex cognitive behaviors, such as context-switching and rule-following, are thought to be supported by the prefrontal cortex (PFC). Neural activity in the PFC must thus be specialized to specific tasks while retaining flexibility. Nonlinear "mixed...
Female Animals Male Algorithms Computer Simulation Learning Models, Neurological Neurons Macaca mulatta Neural Networks, Computer Prefrontal Cortex Machine Learning Cognition Cluster Analysis
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A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery.

PloS one Oct 6, 2017
Accurate and automatic brain metastases target delineation is a key step for efficient and effective stereotactic radiosurgery (SRS) treatment planning. In this work, we developed a deep learning convolutional neural network (CNN) algorithm for segme...
Image Processing, Computer-Assisted Algorithms Image Interpretation, Computer-Assisted Humans Stereotaxic Techniques Radiosurgery Brain Neural Networks, Computer Brain Neoplasms
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