AIMC Topic:
Supervised Machine Learning

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Noninvasive Evaluation of Portal Hypertension Using a Supervised Learning Technique.

Journal of healthcare engineering Oct 12, 2017
Portal hypertension (PHT) is a key event in the evolution of different chronic liver diseases and leads to the morbidity and mortality of patients. The traditional reliable PHT evaluation method is a hepatic venous pressure gradient (HVPG) measuremen...
Portal Pressure Diagnostic Tests, Routine Elasticity Imaging Techniques Hypertension, Portal Humans Algorithms Supervised Machine Learning
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Supervised machine learning techniques to predict binding affinity. A study for cyclin-dependent kinase 2.

Biochemical and biophysical research communications Oct 7, 2017
Here we report the development of a machine-learning model to predict binding affinity based on the crystallographic structures of protein-ligand complexes. We used an ensemble of crystallographic structures (resolution better than 1.5 Å resolution) ...
Antineoplastic Agents ROC Curve Databases, Protein Humans Molecular Docking Simulation Drug Design Supervised Machine Learning Thermodynamics Ligands Cyclin-Dependent Kinase 2 Inhibitory Concentration 50 Datasets as Topic Protein Kinase Inhibitors
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Estimation and evaluation of linear individualized treatment rules to guarantee performance.

Biometrics Sep 28, 2017
In clinical practice, an informative and practically useful treatment rule should be simple and transparent. However, because simple rules are likely to be far from optimal, effective methods to construct such rules must guarantee performance, in ter...
Depressive Disorder, Major Supervised Machine Learning Biometry Statistics as Topic Decision Support Techniques Computer Simulation Precision Medicine Humans
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Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records.

Journal of healthcare engineering Sep 26, 2017
Information extraction and knowledge discovery regarding adverse drug reaction (ADR) from large-scale clinical texts are very useful and needy processes. Two major difficulties of this task are the lack of domain experts for labeling examples and int...
Knowledge Bases Information Storage and Retrieval Humans Medical Informatics Natural Language Processing Linear Models Software Algorithms Supervised Machine Learning Pattern Recognition, Automated Electronic Health Records Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Language
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Robust spike-train learning in spike-event based weight update.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2017
Supervised learning algorithms in a spiking neural network either learn a spike-train pattern for a single neuron receiving input spike-train from multiple input synapses or learn to output the first spike time in a feedforward network setting. In th...
Supervised Machine Learning Neurons Synapses Algorithms Models, Neurological Action Potentials Humans Neural Networks, Computer
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Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.

International journal of neural systems Sep 11, 2017
Changing the metric on the data may change the data distribution, hence a good distance metric can promote the performance of learning algorithm. In this paper, we address the semi-supervised distance metric learning (ML) problem to obtain the best n...
Nonlinear Dynamics Pattern Recognition, Automated Humans Artificial Intelligence Algorithms Computer Simulation Cluster Analysis Supervised Machine Learning
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Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 1, 2017
Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG signals by doctors, machine learning approaches can be faster and more consistent. However, the class...
Reproducibility of Results Support Vector Machine Fuzzy Logic Humans Software Algorithms Transfer, Psychology Seizures Supervised Machine Learning Pattern Recognition, Automated Models, Statistical Electroencephalography Epilepsy
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Protein-protein interaction site predictions with minimum covariance determinant and Mahalanobis distance.

Journal of theoretical biology Sep 1, 2017
Protein-protein interaction site (PPIS) prediction must deal with the diversity of interaction sites that limits their prediction accuracy. Use of proteins with unknown or unidentified interactions can also lead to missing interfaces. Such data error...
Artificial Intelligence Support Vector Machine Supervised Machine Learning Binding Sites Protein Interaction Domains and Motifs
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Discriminatively Trained Latent Ordinal Model for Video Classification.

IEEE transactions on pattern analysis and machine intelligence Aug 22, 2017
We address the problem of video classification for facial analysis and human action recognition. We propose a novel weakly supervised learning method that models the video as a sequence of automatically mined, discriminative sub-events (e.g., onset a...
Facial Expression Stochastic Processes Movement Computer Graphics Humans Supervised Machine Learning Databases, Factual Artificial Intelligence Video Recording Models, Statistical Algorithms Pattern Recognition, Automated Running
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Faceness-Net: Face Detection through Deep Facial Part Responses.

IEEE transactions on pattern analysis and machine intelligence Aug 11, 2017
We propose a deep convolutional neural network (CNN) for face detection leveraging on facial attributes based supervision. We observe a phenomenon that part detectors emerge within CNN trained to classify attributes from uncropped face images, withou...
Humans Neural Networks, Computer Supervised Machine Learning Face Pattern Recognition, Automated Artificial Intelligence Databases, Factual Deep Learning
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