Titlebook: On the Move to Meaningful Internet Systems: OTM 2019 Conferences; Confederated Interna Hervé Panetto,Christophe Debruyne,Robert Meersman Co

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Abasi-Amefon O. Affia,Raimundas Matulevičius,Alexander Noltesential to the life cycle of the virus. Both of these proteins are homotetramers with fewer than 100 residues per subunit, an N-terminal ectodomain and a single transmembrane (TM) domain. There is little amino acid homology between the two proteins other than a H-X-X-X-W motif in the TM domain. The

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A Case Study Lens on Process Mining in Practicee measures. We conclude that, despite maturing in terms of diffusion, application of process mining in practice has not seen an increased maturity over time in terms of thoroughness. One way to redress this situation is to pay more attention to the development of and adherence to methodological guidance.

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Conference proceedings 20199, Ontologies, Databases, and Applications of Semantics, ODBASE 2019, and Cloud and Trusted Computing, C&TC, held as part of OTM 2019 in October 2019 in Rhodes, Greece.  .The 38  full papers presented together with 8 short papers were carefully reviewed and selected from 156 submissions. .The OTM pr

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0302-9743 CoopIS 2019, Ontologies, Databases, and Applications of Semantics, ODBASE 2019, and Cloud and Trusted Computing, C&TC, held as part of OTM 2019 in October 2019 in Rhodes, Greece.  .The 38  full papers presented together with 8 short papers were carefully reviewed and selected from 156 submissions. .

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iDropout: Leveraging Deep Taylor Decomposition for the Robustness of Deep Neural Networksod does not only seem to increase the performance of a Neural Network, but it also seems to make the network more robust to missing data. We evaluated the approach on artificial data with various settings, e.g. noise in data, number of informative features and on real-world datasets from the UCI Machine Learning Repository.

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A Conceptual Modelling Approach to Visualising Linked Datas’ queries so as to automatically generate recommendations of possible visualisations. To our knowledge, this is the first work to propose a conceptual modelling approach to recommending visualisations for Linked Data.

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