AIMC Topic: Computer Simulation
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An Integrated Method Based on PSO and EDA for the Max-Cut Problem.
Computational intelligence and neuroscience
Feb 18, 2016
The max-cut problem is NP-hard combinatorial optimization problem with many real world applications. In this paper, we propose an integrated method based on particle swarm optimization and estimation of distribution algorithm (PSO-EDA) for solving th...
What can Neighbourhood Density effects tell us about word learning? Insights from a connectionist model of vocabulary development.
Journal of child language
Feb 17, 2016
In this paper, we investigate the effect of neighbourhood density (ND) on vocabulary size in a computational model of vocabulary development. A word has a high ND if there are many words phonologically similar to it. High ND words are more easily lea...
Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: A case study using aromatic amine mutagenicity.
Regulatory toxicology and pharmacology : RTP
Feb 13, 2016
Statistical-based and expert rule-based models built using public domain mutagenicity knowledge and data are routinely used for computational (Q)SAR assessments of pharmaceutical impurities in line with the approach recommended in the ICH M7 guidelin...
Intelligent Agent Transparency in Human-Agent Teaming for Multi-UxV Management.
Human factors
Feb 11, 2016
OBJECTIVE: We investigated the effects of level of agent transparency on operator performance, trust, and workload in a context of human-agent teaming for multirobot management.
Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation.
IEEE/ACM transactions on computational biology and bioinformatics
Feb 11, 2016
Transmembrane β-barrels (TMBs) are one important class of membrane proteins that play crucial functions in the cell. Membrane proteins are difficult wet-lab targets of structural biology, which call for accurate computational prediction approaches. H...
Synthetic collective intelligence.
Bio Systems
Feb 8, 2016
Intelligent systems have emerged in our biosphere in different contexts and achieving different levels of complexity. The requirement of communication in a social context has been in all cases a determinant. The human brain, probably co-evolving with...
Hydrodynamics of a robotic fish tail: effects of the caudal peduncle, fin ray motions and the flow speed.
Bioinspiration & biomimetics
Feb 8, 2016
Recent advances in understanding fish locomotion with robotic devices have included the use of biomimetic flapping based and fin undulatory locomotion based robots, treating two locomotions separately from each other. However, in most fish species, p...
Physicochemical property profile for brain permeability: comparative study by different approaches.
Journal of drug targeting
Feb 6, 2016
A comparative study of classification models of brain penetration by different approaches was carried out on a training set of 1000 chemicals and drugs, and an external test set of 100 drugs. Ten approaches were applied in this work: seven medicinal ...
A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.
Medical image analysis
Feb 6, 2016
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction. In this work, we employ deep learning algorithms...
Humans
Subtraction Technique
Magnetic Resonance Imaging, Cine
Sensitivity and Specificity
Pattern Recognition, Automated
Heart Ventricles
Image Enhancement
Ventricular Dysfunction, Left
Models, Cardiovascular
Machine Learning
Image Interpretation, Computer-Assisted
Algorithms
Computer Simulation
Reproducibility of Results
Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design.
Biometrics
Feb 4, 2016
Motivated by an ongoing study to develop a screening test able to identify patients with undiagnosed Sjögren's Syndrome in a symptomatic population, we propose methodology to combine multiple biomarkers and evaluate their performance in a two-stage g...
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