AIMC Topic:
Supervised Machine Learning

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Functional Annotation of Proteins Encoded by the Minimal Bacterial Genome Based on Secondary Structure Element Alignment.

Journal of proteome research May 24, 2018
In synthetic biology, one of the key focuses is building a minimal artificial cell which can provide basic chassis for functional study. Recently, the J. Craig Venter Institute published the latest version of the minimal bacterial genome JCVI-syn3.0,...
Supervised Machine Learning Molecular Sequence Annotation Genome, Bacterial Algorithms Bacterial Proteins Sequence Homology, Amino Acid Protein Structure, Secondary Artificial Intelligence
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Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data.

The Journal of experimental biology May 23, 2018
Accelerometers are becoming ever more important sensors in animal-attached technology, providing data that allow determination of body posture and movement and thereby helping to elucidate behaviour in animals that are difficult to observe. We sought...
Algorithms Behavior, Animal Accelerometry Turtles Supervised Machine Learning Video Recording Animals
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Grip Stabilization of Novel Objects Using Slip Prediction.

IEEE transactions on haptics May 21, 2018
Controlling contact with arbitrary, unknown objects defines a fundamental problem for robotic grasping and in-hand manipulation. In real-world scenarios, where robots interact with a variety of objects, the sheer number of possible contact interactio...
Supervised Machine Learning Feedback, Sensory Equipment Design Touch Perception Humans Robotics
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Supervised machine learning in critical care: The path forward.

Journal of critical care May 18, 2018
Humans Bacteremia Critical Care Supervised Machine Learning
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Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.

IEEE transactions on bio-medical engineering May 17, 2018
In this work, we conduct comprehensive comparisons between four variants of independent component analysis (ICA) methods and three variants of sparse dictionary learning (SDL) methods, both at the subject-level, by using synthesized fMRI data with gr...
Brain Mapping Principal Component Analysis Supervised Machine Learning Brain Magnetic Resonance Imaging Humans Algorithms
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Adaptive template generation for amyloid PET using a deep learning approach.

Human brain mapping May 11, 2018
Accurate spatial normalization (SN) of amyloid positron emission tomography (PET) images for Alzheimer's disease assessment without coregistered anatomical magnetic resonance imaging (MRI) of the same individual is technically challenging. In this st...
Algorithms Brain Female Humans Benzothiazoles Carbon Radioisotopes Amyloid Thiazoles Supervised Machine Learning Radiopharmaceuticals Aniline Compounds Cognitive Dysfunction Positron-Emission Tomography Male Imaging, Three-Dimensional Alzheimer Disease Deep Learning Magnetic Resonance Imaging
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Stochastic exponential synchronization of memristive neural networks with time-varying delays via quantized control.

Neural networks : the official journal of the International Neural Network Society Apr 27, 2018
This paper focuses on stochastic exponential synchronization of delayed memristive neural networks (MNNs) by the aid of systems with interval parameters which are established by using the concept of Filippov solution. New intermittent controller and ...
Supervised Machine Learning Stochastic Processes Neural Networks, Computer Time Factors
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Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks.

Computers in biology and medicine Apr 27, 2018
Computed tomography (CT) is the method of choice for diagnosing ureteral stones - kidney stones that obstruct the ureter. The purpose of this study is to develop a computer aided detection (CAD) algorithm for identifying a ureteral stone in thin slic...
Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Ureteral Calculi Adult Male Neural Networks, Computer Algorithms Databases, Factual Tomography, X-Ray Computed Humans Female
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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

International journal of computer assisted radiology and surgery Apr 27, 2018
PURPOSE: Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to the breakthrough successes of deep learning-based solutions fo...
Video Recording Algorithms Humans Endoscopy Neural Networks, Computer Supervised Machine Learning
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Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.

Acta biotheoretica Apr 26, 2018
Computational drug repositioning has been proven as a promising and efficient strategy for discovering new uses from existing drugs. To achieve this goal, a number of computational methods have been proposed, which are based on different data sources...
Models, Statistical Drug Repositioning Pharmaceutical Preparations Supervised Machine Learning Area Under Curve Software Reproducibility of Results Computational Biology Humans Pharmacy Pharmacology Drug Therapy
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