AIMC Topic: Algorithms

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OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.

Journal of bioinformatics and computational biology Oct 27, 2015
MicroRNAs (miRNAs) are a set of short (21-24 nt) non-coding RNAs that play significant regulatory roles in the cells. Triplet-SVM-classifier and MiPred (random forest, RF) can identify the real pre-miRNAs from other hairpin sequences with similar ste...
RNA Precursors Computational Biology MicroRNAs Machine Learning Algorithms
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A method to predict different mechanisms for blood-brain barrier permeability of CNS activity compounds in Chinese herbs using support vector machine.

Journal of bioinformatics and computational biology Oct 27, 2015
The blood-brain barrier (BBB), a highly selective barrier between central nervous system (CNS) and the blood stream, restricts and regulates the penetration of compounds from the blood into the brain. Drugs that affect the CNS interact with the BBB p...
Medicine, Chinese Traditional Humans ATP Binding Cassette Transporter, Subfamily B, Member 1 Reproducibility of Results Plants, Medicinal Central Nervous System Agents Models, Theoretical Blood-Brain Barrier Molecular Targeted Therapy Drug Evaluation, Preclinical Permeability Support Vector Machine Algorithms
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A non-penalty recurrent neural network for solving a class of constrained optimization problems.

Neural networks : the official journal of the International Neural Network Society Oct 27, 2015
In this paper, we explain a methodology to analyze convergence of some differential inclusion-based neural networks for solving nonsmooth optimization problems. For a general differential inclusion, we show that if its right hand-side set valued map ...
Mathematics Linear Models Problem Solving Neural Networks, Computer Computer Simulation Algorithms Markov Chains
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A novel fuzzy logic-based image steganography method to ensure medical data security.

Computers in biology and medicine Oct 27, 2015
This study aims to secure medical data by combining them into one file format using steganographic methods. The electroencephalogram (EEG) is selected as hidden data, and magnetic resonance (MR) images are also used as the cover image. In addition to...
Computer Security Reproducibility of Results Image Interpretation, Computer-Assisted Sensitivity and Specificity Information Storage and Retrieval Fuzzy Logic Confidentiality Humans Algorithms Logistic Models Electronic Health Records
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Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition.

IEEE transactions on cybernetics Oct 26, 2015
Robust descriptor-based subspace learning with complex data is an active topic in pattern analysis and machine intelligence. A few researches concentrate the optimal design on feature representation and metric learning. However, traditionally used fe...
Humans Artificial Intelligence Male Discriminant Analysis Biometric Identification Algorithms Female
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Interactive Cell Segmentation Based on Active and Semi-Supervised Learning.

IEEE transactions on medical imaging Oct 26, 2015
Automatic cell segmentation can hardly be flawless due to the complexity of image data particularly when time-lapse experiments last for a long time without biomarkers. To address this issue, we propose an interactive cell segmentation method by clas...
Microscopy Image Processing, Computer-Assisted Cytological Techniques Humans Supervised Machine Learning Algorithms
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Robust fixed-time synchronization of delayed Cohen-Grossberg neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 26, 2015
The fixed-time master-slave synchronization of Cohen-Grossberg neural networks with parameter uncertainties and time-varying delays is investigated. Compared with finite-time synchronization where the convergence time relies on the initial synchroniz...
Models, Statistical Uncertainty Algorithms Time Factors Neural Networks, Computer
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One pass learning for generalized classifier neural network.

Neural networks : the official journal of the International Neural Network Society Oct 26, 2015
Generalized classifier neural network introduced as a kind of radial basis function neural network, uses gradient descent based optimized smoothing parameter value to provide efficient classification. However, optimization consumes quite a long time ...
Neural Networks, Computer Machine Learning Reproducibility of Results Models, Statistical Algorithms Data Interpretation, Statistical Normal Distribution
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A Guaranteed Similarity Metric Learning Framework for Biological Sequence Comparison.

IEEE/ACM transactions on computational biology and bioinformatics Oct 26, 2015
Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. The distance and similarity between two sequence are very important and widely studied. During the last decades, Similarity(distance) metric ...
Sequence Alignment Sequence Analysis Algorithms Reproducibility of Results Data Interpretation, Statistical Pattern Recognition, Automated Sensitivity and Specificity Machine Learning
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Ontology-Based Search of Genomic Metadata.

IEEE/ACM transactions on computational biology and bioinformatics Oct 26, 2015
The Encyclopedia of DNA Elements (ENCODE) is a huge and still expanding public repository of more than 4,000 experiments and 25,000 data files, assembled by a large international consortium since 2007; unknown biological knowledge can be extracted fr...
Algorithms User-Computer Interface Genomics Metadata Semantics Gene Ontology Databases, Genetic Data Mining
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