AIMC Topic: Datasets as Topic

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Metric learning with spectral graph convolutions on brain connectivity networks.

NeuroImage Dec 24, 2017
Graph representations are often used to model structured data at an individual or population level and have numerous applications in pattern recognition problems. In the field of neuroscience, where such representations are commonly used to model str...
Image Processing, Computer-Assisted Models, Theoretical Magnetic Resonance Imaging Neural Networks, Computer Databases, Factual Nerve Net Autism Spectrum Disorder Datasets as Topic Humans Connectome
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Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study.

Schizophrenia research Dec 21, 2017
Machine learning is a powerful tool that has previously been used to classify schizophrenia (SZ) patients from healthy controls (HC) using magnetic resonance images. Each study, however, uses different datasets, classification algorithms, and validat...
Magnetic Resonance Imaging Organ Size Schizophrenia Image Interpretation, Computer-Assisted Datasets as Topic Humans Machine Learning Brain Female Adult Male
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Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.

BMC medical informatics and decision making Dec 19, 2017
BACKGROUND: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into p...
Aged Adult Male Machine Learning Prognosis Female Datasets as Topic Cardiorespiratory Fitness Classification Mortality Middle Aged Follow-Up Studies Humans Exercise Test
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Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.

BMC systems biology Dec 14, 2017
BACKGROUND: Positive semi-definiteness is a critical property in kernel methods for Support Vector Machine (SVM) by which efficient solutions can be guaranteed through convex quadratic programming. However, a lot of similarity functions in applicatio...
Artificial Intelligence Algorithms Support Vector Machine Supervised Machine Learning Datasets as Topic Pattern Recognition, Automated
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In silico toxicity profiling of natural product compound libraries from African flora with anti-malarial and anti-HIV properties.

Computational biology and chemistry Dec 6, 2017
This paper describes an analysis of the diversity and chemical toxicity assessment of three chemical libraries of compounds from African flora (the p-ANAPL, AfroMalariaDb, and Afro-HIV), respectively containing compounds exhibiting activities against...
Anti-HIV Agents Humans Principal Component Analysis Mutagens Molecular Structure Machine Learning Small Molecule Libraries Maximum Tolerated Dose Antimalarials Models, Molecular Computer Simulation Datasets as Topic Africa
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Residual Convolutional Neural Network for the Determination of Status in Low- and High-Grade Gliomas from MR Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 22, 2017
Isocitrate dehydrogenase () mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the status of gliomas from MR imaging by applying a residual convolutional neural network to preoperative r...
Isocitrate Dehydrogenase Mutation Datasets as Topic Preoperative Period Male Middle Aged Image Processing, Computer-Assisted Predictive Value of Tests Neoplasm Grading Glioma Magnetic Resonance Imaging Female Young Adult Aged Adult Aged, 80 and over Brain Neoplasms Brain Retrospective Studies Humans Neural Networks, Computer
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A regularization path algorithm for support vector ordinal regression.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2017
Support vector ordinal regression (SVOR) is a popular method for tackling ordinal regression problems. Solution path provides a compact representation of optimal solutions for all values of regularization parameter, which is extremely useful for mode...
Algorithms Support Vector Machine Datasets as Topic
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A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data.

Computational intelligence and neuroscience Nov 15, 2017
Anomaly detection, which aims to identify observations that deviate from a nominal sample, is a challenging task for high-dimensional data. Traditional distance-based anomaly detection methods compute the neighborhood distance between each observatio...
Discriminant Analysis Datasets as Topic Pattern Recognition, Automated Artificial Intelligence Algorithms Models, Theoretical Humans
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Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Molecular pharmaceutics Nov 13, 2017
Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fingerprint type molecular descriptors paired with Bayesian methods resulted in the widespread use of t...
Neural Networks, Computer Machine Learning Drug Discovery Bayes Theorem Datasets as Topic
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Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning.

Proteins Oct 31, 2017
In this study, we report the evaluation of the residue-residue contacts predicted by our three different methods in the CASP12 experiment, focusing on studying the impact of multiple sequence alignment, residue coevolution, and machine learning on co...
Humans Machine Learning Algorithms Databases, Protein Models, Molecular Computational Biology Proteins Protein Folding Datasets as Topic Sequence Alignment Sequence Analysis, Protein Crystallography, X-Ray Protein Conformation
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