AIMC Topic: Support Vector Machine

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iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition.

Journal of theoretical biology Jan 11, 2018
Membrane proteins execute significant roles in cellular processes of living organisms, ranging from cell signaling to cell adhesion. As a major part of a cell, the identification of membrane proteins and their functional types become a challenging jo...
Databases, Protein Amino Acid Sequence Sequence Analysis, Protein Neural Networks, Computer Algorithms Reproducibility of Results Computational Biology Membrane Proteins Support Vector Machine
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Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for documentation and communication of specimen data, because the morphological information for a transparent specimen can be captured in form of a stack...
Support Vector Machine Linear Models Pattern Recognition, Automated Nematoda Sensitivity and Specificity Animals Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Reproducibility of Results
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ProtDet-CCH: Protein Remote Homology Detection by Combining Long Short-Term Memory and Ranking Methods.

IEEE/ACM transactions on computational biology and bioinformatics Jan 5, 2018
As one of the most challenging tasks in sequence analysis, protein remote homology detection has been extensively studied. Methods based on discriminative models and ranking approaches have achieved the state-of-the-art performance, and these two kin...
Support Vector Machine Proteins Databases, Protein Sequence Homology, Amino Acid Amino Acid Motifs Sequence Analysis, Protein Humans Databases, Factual Reproducibility of Results Computational Biology Neural Networks, Computer Software Algorithms
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Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers.

PloS one Jan 5, 2018
Hyperspectral image classification with a limited number of training samples without loss of accuracy is desirable, as collecting such data is often expensive and time-consuming. However, classifiers trained with limited samples usually end up with a...
Fuzzy Logic Machine Learning Remote Sensing Technology Models, Statistical Support Vector Machine Image Enhancement
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Prediction of venous thromboembolism using semantic and sentiment analyses of clinical narratives.

Computers in biology and medicine Jan 3, 2018
Venous thromboembolism (VTE) is the third most common cardiovascular disorder. It affects people of both genders at ages as young as 20 years. The increased number of VTE cases with a high fatality rate of 25% at first occurrence makes preventive mea...
Predictive Value of Tests Venous Thromboembolism Semantic Web Male Diagnosis, Computer-Assisted Support Vector Machine Electronic Health Records Humans Female
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Machine learning: supervised methods.

Nature methods Jan 3, 2018
Supervised learning algorithms extract general principles from observed examples guided by a specific prediction objective.
Machine Learning Support Vector Machine Humans Artificial Intelligence
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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
Wavelet Analysis Brain Waves Cloud Computing Automation False Negative Reactions False Positive Reactions Electrocorticography Brain Reproducibility of Results Time Factors Support Vector Machine Electroencephalography Humans Brain Mapping Seizures Neural Networks, Computer Signal Processing, Computer-Assisted Predictive Value of Tests
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Support vector machine classifier for prediction of the metastasis of colorectal cancer.

International journal of molecular medicine Jan 2, 2018
Colorectal cancer (CRC) is one of the most common cancers and a major cause of mortality. The present study aimed to identify potential biomarkers for CRC metastasis and uncover the mechanisms underlying the etiology of the disease. The five datasets...
Humans Reproducibility of Results Colorectal Neoplasms Gene Expression Regulation, Neoplastic Support Vector Machine Databases, Genetic Quality Control Gene Expression Profiling Cell Line, Tumor Protein Interaction Maps Neoplasm Metastasis
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Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction.

Database : the journal of biological databases and curation Jan 1, 2018
Biomedical researchers regularly discover new interactions between chemical compounds/drugs and genes/proteins, and report them in research literature. Having knowledge about these interactions is crucially important in many research areas such as pr...
Databases, Protein Databases, Chemical Protein Binding Neural Networks, Computer Pharmaceutical Preparations Data Mining Drug Discovery Deep Learning Support Vector Machine Proteins
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Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

Database : the journal of biological databases and curation Jan 1, 2018
In this paper, we describe a hierarchical bi-directional attention-based Re-current Neural Network (RNN) as a reusable sequence encoder architecture, which is used as sentence and document encoder for document classification. The sequence encoder is ...
Support Vector Machine Databases, Protein Mutation Reproducibility of Results Protein Interaction Maps Neural Networks, Computer Data Mining Models, Theoretical Algorithms
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