Results 81 to 90 of about 258 (113)

DMAF-NET: Deep Multi-Scale Attention Fusion Network for Hyperspectral Image Classification with Limited Samples. [PDF]

Sensors (Basel)
Guo H, Liu W.
europepmc   +1 more source

Electrochemical Detection of Cancer Biomarkers: From Molecular Sensing to Clinical Translation. [PDF]

Biosensors (Basel)
Nadeem-Tariq A, Rafanan JR, Kang N, Zhang S, Kanniyappan H, Merchant A.   +5 more
europepmc   +1 more source

Development and Validation of a Computed Tomography-Based Model for Noninvasive Prediction of the T Stage in Gastric Cancer: Multicenter Retrospective Study.

J Med Internet Res
Tao J, Liu D, Hu FB, Zhang X, Yin H, Zhang H, Zhang K, Huang Z, Yang K.   +8 more
europepmc   +1 more source

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Dataset of the Paper "Automatically Classifying UML Class Diagrams from Images using Deep Learning"

2021
A dataset with 3298 images that contains 1649 UML class diagrams and 1649 non-UML images.
openaire   +2 more sources

Classifying Class and Finding Community in UML Metamodel Network

2005
Composed of many classes or modules, big software can be represented with network model. By extracting the topology of UML metamodel from the UML metamodel specification, the scale-free, small-world networks properties are revealed. Based on this observation, we come up with our algorithms that can classify all classes in UML metamodel into three kinds:
Bin Liu, Deyi Li, Jin Liu, Fei He
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Constraining Type Parameters of UML 2 Templates with Substitutable Classifiers

2009
Generic programming is a field of computer science which consists in defining abstract and reusable representations of efficient data structures and algorithms. In popular imperative languages, it is usually supported by a template-like notation, where generic elements are represented by templates exposing formal parameters.
Arnaud Cuccuru, Ansgar Radermacher, Sébastien Gérard, François Terrier   +3 more
openaire   +1 more source

Checking UML and OCL Model Behavior with Filmstripping and Classifying Terms

2017
This tool paper discusses how model behavior expressed in a UML and OCL model can be analysed with filmstrips and classifying terms in the tool USE. Classifying terms are a means for systematic construction of test cases. In the case of behavior models these test cases correspond to testing the model with different sequence diagrams.
Martin Gogolla, Frank Hilken, Khanh-Hoang Doan, Nisha Desai   +3 more
openaire   +1 more source

Using Symbolic Knowledge in the UMLS to Disambiguate Words in Small Datasets with a Naïve Bayes Classifier.

2004
Current approaches to word sense disambiguation use and combine various machine-learning techniques. Most refer to characteristics of the ambiguous word and surrounding words and are based on hundreds of examples. Unfortunately, developing large training sets is time-consuming.
Gondy, Leroy, Thomas C, Rindflesch
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Using distributional analysis to semantically classify UMLS concepts.

Studies in health technology and informatics, 2007
The UMLS is a widely used and comprehensive knowledge source in the biomedical domain. It specifies biomedical concepts and their semantic categories, and therefore is valuable for Natural Language Processing (NLP) and other knowledge-based systems. However, the UMLS semantic classification is not always accurate, which adversely affects performance of
Jung-Wei, Fan, Hua, Xu, Carol, Friedman
openaire   +1 more source