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nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data.

BMC bioinformatics Sep 10, 2019
BACKGROUND: Atomic force microscopy (AFM) allows the mechanical characterization of single cells and live tissue by quantifying force-distance (FD) data in nano-indentation experiments. One of the main problems when dealing with biological tissue is ...
Machine Learning Software Animals Data Accuracy Automation Zebrafish Microscopy, Atomic Force Nanotechnology
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Neural Classification of Compost Maturity by Means of the Artificial Neural Network and Algorithm.

International journal of environmental research and public health Sep 7, 2019
neural models and the algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stage...
Learning Composting Neural Networks, Computer Software Artificial Intelligence Algorithms
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Prediction of Potential miRNA-Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder.

Cells Sep 6, 2019
The important role of microRNAs (miRNAs) in the formation, development, diagnosis, and treatment of diseases has attracted much attention among researchers recently. In this study, we present an unsupervised deep learning model of the variational aut...
Genome-Wide Association Study Genetic Predisposition to Disease Software Deep Learning MicroRNAs Unsupervised Machine Learning Humans
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World's fastest brain-computer interface: Combining EEG2Code with deep learning.

PloS one Sep 6, 2019
We present a novel approach based on deep learning for decoding sensory information from non-invasively recorded Electroencephalograms (EEG). It can either be used in a passive Brain-Computer Interface (BCI) to predict properties of a visual stimulus...
Time Factors Signal Processing, Computer-Assisted Software Electroencephalography Brain-Computer Interfaces Deep Learning
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Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.

The Lancet. Digital health Sep 5, 2019
BACKGROUND: Deep learning has the potential to transform health care; however, substantial expertise is required to train such models. We sought to evaluate the utility of automated deep learning software to develop medical image diagnostic classifie...
Humans Software Data Interpretation, Statistical Tomography, Optical Coherence Fundus Oculi Adult Algorithms Feasibility Studies Deep Learning Skin Neoplasms
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EK-DRD: A Comprehensive Database for Drug Repositioning Inspired by Experimental Knowledge.

Journal of chemical information and modeling Sep 3, 2019
Drug repositioning, or the identification of new indications for approved therapeutic drugs, has gained substantial traction with both academics and pharmaceutical companies because it reduces the cost and duration of the drug development pipeline an...
Animals Drug Design Humans Software Data Mining Small Molecule Libraries Drug Repositioning Databases, Pharmaceutical Knowledge Bases
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Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification.

Neural networks : the official journal of the International Neural Network Society Sep 2, 2019
Document classification aims to assign one or more classes to a document for ease of management by understanding the content of a document. Hierarchical attention network (HAN) has been showed effective to classify documents that are ambiguous. HAN p...
Machine Learning Humans Software Algorithms Neural Networks, Computer
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Technical Note: PYRO-NN: Python reconstruction operators in neural networks.

Medical physics Aug 27, 2019
PURPOSE: Recently, several attempts were conducted to transfer deep learning to medical image reconstruction. An increasingly number of publications follow the concept of embedding the computed tomography (CT) reconstruction as a known operator into ...
Software Image Processing, Computer-Assisted Tomography, X-Ray Computed Neural Networks, Computer
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Homology analysis of malware based on ensemble learning and multifeatures.

PloS one Aug 26, 2019
With the exponential increase in malware, homology analysis has become a hot research topic in the malware detection field. This paper proposes MHAS, a malware homology analysis system based on ensemble learning and multifeatures. MHAS generates gray...
Neural Networks, Computer Software Machine Learning Image Processing, Computer-Assisted
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The What-If Tool: Interactive Probing of Machine Learning Models.

IEEE transactions on visualization and computer graphics Aug 20, 2019
A key challenge in developing and deploying Machine Learning (ML) systems is understanding their performance across a wide range of inputs. To address this challenge, we created the What-If Tool, an open-source application that allows practitioners t...
Humans Machine Learning Computer Simulation Computer Graphics User-Computer Interface Software Databases, Factual
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