Titlebook: Database and Expert Systems Applications - DEXA 2021 Workshops; BIOKDD, IWCFS, MLKgr Gabriele Kotsis,A Min Tjoa,Sohail Khan Conference proc

innate

Remote Attestation of Bare-Metal Microprocessor Software: A Formally Verified Security Monitorarchitectures for remote attestation combine signature or MAC primitives with hardware monitors to enforce secret confidentiality..Our works are based on a verified hardware/software co-design for remote attestation, VRASED. Its proof is established using formal methods and its implementation is con

拱形大橋

Provenance and Privacy in ProSAever, this does not have to be the case. But before we can address this conflict and its resolution, we want to understand what the terms privacy, provenance, and research data management actually mean. We are not interested in the formal definitions but in the community’s understanding of these ter

Costume

Placeholder Constraint Evaluation in?Simulation Graphsconstraint knowledge which is stored in a graph database. In this paper an application for automatic guided simulation creation is presented in the form of a three-step process to evaluate constraints of placeholders and therefore suggest suitable components.

Maximizer

Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge GraphsDF2Vec is an unsupervised technique that can create task-agnostic numerical representations of the nodes in a KG by extending successful language modeling techniques. The original work proposed the Weisfeiler-Lehman kernel to improve the quality of the representations. However, in this work, we show

NOCT

Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Studyher opportunities lie in the combined use of these two paradigms in ways that benefit from their complementary strengths. Accordingly, there is much research at the confluence of these two research areas and a number of efforts were already made to survey and analyze the resulting research area. How

營養(yǎng)

謙卑

Semantic Influence Score: Tracing Beautiful Minds Through Knowledge Diffusion and Derivative Works a perceived notion of paper quality and influence among scientific communities. This perception of preferential attachment, overlooking important factors such as context and the age of the paper has been criticized recently. In this paper, we propose ‘Semantic Influence Score (SIS)’, an unbiased al

Synchronism

homocysteine

Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualizationues associated to parametric deep models. However, a formal conceptualization of the fuzzy theoretic analytical deep models is still not available. This paper introduces using measure theoretic basis the notion of . for representing data points through attribute values (motivated by fuzzy theory). A

voluble

Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep nsists of layers such that each layer learns data representation at certain abstraction level through a membership-mappings based autoencoder), is presented. A multi-class classifier is presented that employs a parallel composition of conditionally deep autoencoders to learn data representation for