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  1. 121

    Thesaurus Exemplorum Medii Aevi : une base de données collaborative sur les exempla médiévaux by Jean-Paul Rehr, Marie-Anne Polo de Beaulieu

    Published 2021-12-01
    “…The most recent transformation of ThEMA into XML-TEI format, within a searchable database that provides powerful interfaces, has permitted the project to fully engage with FAIR data standards to ensure longevity and broader usability of the data for researchers and the general public.…”
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  2. 122
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    Signs of the Times: Medieval Punctuation, Diplomatic Encoding and Rendition by Elisa Cugliana, Gioele Barabucci

    Published 2022-05-01
    “…Technically, we implemented a set of general rules (as XSLT templates) plus various exceptions (as descriptive instructions in XML attributes), and applied them in an automated fashion (using XProc pipelines). …”
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  4. 124

    Edition Visualization Technology: A Simple Tool to Visualize TEI-based Digital Editions by Roberto Rosselli Del Turco, Giancarlo Buomprisco, Chiara Di Pietro, Julia Kenny, Raffaele Masotti, Jacopo Pugliese

    Published 2014-12-01
    “…Researchers of the Digital Vercelli Book project started looking into a simple, user-friendly solution and eventually decided to build their own: EVT (Edition Visualization Technology) has been under development since about 2010 and has turned into a flexible tool that can be used to create a web-based digital edition starting from transcription files encoded in TEI XML. This paper describes why this tool was created, how it works, and developments planned for the future.…”
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    The Code of Maya Kings and Queens: Encoding and Markup of Maya Hieroglyphic Writing by Martin de la Iglesia, Franziska Diehr, Uwe Sikora, Sven Gronemeyer, Maximilian Behnert-Brodhun, Christian Prager, Nikolai Grube

    Published 2021-04-01
    “…Using different formats (RDF, XML) and standards (CIDOC CRM, TEI P5), the inscriptions are encoded in a multilevel corpus: (1) a tei_all-compliant schema defining values and rules for the encoding of the text’s topological and structural features, (2) a “Sign Catalogue” for the classification of Maya hieroglyphs, and (3) the tool ALMAH (Annotator for the Linguistic analysis of MAya Hieroglyphs) for linguistic analyses. …”
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  7. 127

    Using the PubAnnotation ecosystem to perform agile text mining on : a tutorial review by Hee-Jo Nam, Ryota Yamada, Hyun-Seok Park

    Published 2020-06-01
    “…The full-text publications of volumes 10 through 17 are also directly downloadable from PubMed Central (PMC) as XML files. During the Biomedical Linked Annotation Hackathon 6 (BLAH6), we experimented with converting, annotating, and updating 301 PMC full-text articles of Genomics & Informatics using PubAnnotation, a system that provides a convenient way to add PMC publications based on PMCID. …”
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  8. 128

    An Ant Colony Optimization Based Feature Selection for Web Page Classification by Esra Saraç, Selma Ayşe Özel

    Published 2014-01-01
    “…Web pages have a large number of features such as HTML/XML tags, URLs, hyperlinks, and text contents that should be considered during an automated classification process. …”
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    TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI by Christophe Parisse, Carole Etienne, Loïc Liégeois

    Published 2021-07-01
    “…TEICORPO is based on the principle of an underlying common format, namely TEI XML as described in its specification for spoken language use (ISO 2016). …”
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  16. 136

    A Data Mining Classification Approach for Behavioral Malware Detection by Monire Norouzi, Alireza Souri, Majid Samad Zamini

    Published 2016-01-01
    “…A suggested program has been presented for converting a malware behavior executive history XML file to a suitable WEKA tool input. To illustrate the performance efficiency as well as training data and test, we apply the proposed approaches to a real case study data set using WEKA tool. …”
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  17. 137

    Honeypot contract detection method for Ethereum based on source code structure and graph attention network by Youwei WANG, Yudong HOU, Lizhou FENG

    Published 2023-09-01
    “…To address the problems of low accuracy and poor generalization of current honeypot contract detection methods, a honeypot contract detection method for Ethereum based on source code structure and graph attention network was proposed.Firstly, in order to extract the structural information of the Solidity source code of the smart contract, the source code was parsed and converted into an XML parsing tree.Then, a set of feature words that could express the structural and content characteristics of the contract was selected, and the contract source code structure graph was constructed.Finally, in order to avoid the impact of dataset imbalance, the concepts of teacher model and student model were introduced based on the ensemble learning theory.Moreover, the graph attention network model was trained from the global and local perspectives, respectively, and the outputs of all models were fused to obtain the final contract detection result.The experiments demonstrate that CSGDetector has higher honeypot detection capability than the existing method KOLSTM, with increments of 1.27% and 7.21% on F<sub>1</sub> measurement in two-class classification and multi-class classification experiments, respectively.When comparing with the existing method XGB, the average recall rate of CSGDetector in the masked honeypot detection experiments for different types of honeypot contracts is improved by 7.57%, which verifies the effectiveness of the method in improving the generalization performance of the algorithm.…”
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