AIMC Topic: Datasets as Topic

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Spatially regularized machine learning for task and resting-state fMRI.

Journal of neuroscience methods Oct 16, 2015
BACKGROUND: Reliable mapping of brain function across sessions and/or subjects in task- and resting-state has been a critical challenge for quantitative fMRI studies although it has been intensively addressed in the past decades.
Brain Mapping Datasets as Topic Linear Models Support Vector Machine Magnetic Resonance Imaging Models, Neurological Neuropsychological Tests Motor Activity Humans Visual Perception Mental Processes Brain Rest Computer Simulation Fingers Reproducibility of Results Neural Pathways
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Smart sampling and incremental function learning for very large high dimensional data.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2015
Very large high dimensional data are common nowadays and they impose new challenges to data-driven and data-intensive algorithms. Computational Intelligence techniques have the potential to provide powerful tools for addressing these challenges, but ...
Datasets as Topic Machine Learning Neural Networks, Computer Algorithms Artificial Intelligence
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Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.

Omics : a journal of integrative biology Sep 25, 2015
Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place in integrative biology, not to mention as targets for novel vaccine, pharmaceutical, and systems diagnostics development. The presence of T-cell and ...
Models, Statistical Amino Acid Sequence Datasets as Topic Molecular Sequence Data Epitopes, B-Lymphocyte Sensitivity and Specificity Computational Biology Support Vector Machine Humans Software
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Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approach.

BMC genomics Sep 15, 2015
BACKGROUND: Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Although roughly a thousand genes are expected to be important for this function in Drosophila melanogaster, just a few hund...
Gene Expression Profiling Transcriptome Computational Biology Machine Learning Algorithms Animals Datasets as Topic Organ Specificity Drosophila Gene Expression Regulation, Developmental Rats Models, Biological Synapses Humans
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[Not Available].

Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) Sep 10, 2015
Computer Security Meaningful Use Data Accuracy Electronic Health Records Datasets as Topic Knowledge Bases Information Storage and Retrieval Data Collection
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Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 2.

Journal of integrative bioinformatics Sep 4, 2015
The number, size and complexity of computational models of biological systems are growing at an ever increasing pace. It is imperative to build on existing studies by reusing and adapting existing models and parts thereof. The description of the stru...
Information Storage and Retrieval Internationality Biological Ontologies Documentation Systems Biology Guidelines as Topic Models, Biological Datasets as Topic Programming Languages
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The CellML Metadata Framework 2.0 Specification.

Journal of integrative bioinformatics Sep 4, 2015
The CellML Metadata Framework 2.0 is a modular framework that describes how semantic annotations should be made about mathematical models encoded in the CellML (www.cellml.org) format, and their elements. In addition to the Core specification, there ...
Humans Animals Systems Biology Internationality Guidelines as Topic Models, Biological Biological Ontologies Datasets as Topic Programming Languages Cell Physiological Phenomena Information Storage and Retrieval Documentation
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Toward a General-Purpose Heterogeneous Ensemble for Pattern Classification.

Computational intelligence and neuroscience Aug 27, 2015
We perform an extensive study of the performance of different classification approaches on twenty-five datasets (fourteen image datasets and eleven UCI data mining datasets). The aim is to find General-Purpose (GP) heterogeneous ensembles (requiring ...
Datasets as Topic Humans Computer Simulation Pattern Recognition, Automated Artificial Intelligence Learning Normal Distribution Algorithms ROC Curve
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ReCAP: Feasibility and Accuracy of Extracting Cancer Stage Information From Narrative Electronic Health Record Data.

Journal of oncology practice Aug 25, 2015
PURPOSE: Cancer stage, one of the most important prognostic factors for cancer-specific survival, is often documented in narrative form in electronic health records (EHRs). Such documentation results in tedious and time-consuming abstraction efforts ...
Algorithms Prognosis Neoplasm Staging Electronic Health Records Reproducibility of Results Humans Neoplasm Metastasis Neoplasms Datasets as Topic Natural Language Processing
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A decentralized training algorithm for Echo State Networks in distributed big data applications.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2015
The current big data deluge requires innovative solutions for performing efficient inference on large, heterogeneous amounts of information. Apart from the known challenges deriving from high volume and velocity, real-world big data applications may ...
Databases, Factual Humans Datasets as Topic Neural Networks, Computer Algorithms
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