Semantics-Space-Time Cube. A Conceptual Framework for Systematic Analysis of Texts in Space and Time [PDF]
, 2018 We propose an approach to analyzing data in which texts are associated with spatial and temporal references with the aim to understand how the text semantics vary over space and time.
Andrienko, G. +4 more
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Long-COVID Inducement Mechanism Based on the Path Module Correlation Coefficient
Mathematics, 2023 As the number of COVID-19 cases increases, the long-COVID symptoms become the focus of clinical attention. Based on the statistical analysis of long-COVID symptoms in European and Chinese populations, this study proposes the path module correlation ...
Ziqi Liu +3 more
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On the Equivalence between Logic Programming Semantics and Argumentation Semantics [PDF]
, 2013 Publisher ...
Alcântara, João +2 more
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Comparative Constructions in Zhoutun from a Language Contact Perspective
Languages, 2023 The paper describes comparative constructions in Zhoutun, a Chinese variety that was heavily influenced by Amdo Tibetan and spoken in Guide County, Qinghai Province. There are five comparative constructions (Cxn), based on the type of comparative marker,
Chenlei Zhou
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Semantics, sensors, and the social web: The live social semantics experiments [PDF]
, 2010 The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application integrates data and technologies from the Semantic Web, online social networks, and
A. Scherrer +7 more
core +6 more sources
Semantic Segmentation by Semantic Proportions
CoRR, 2023 Semantic segmentation is a critical task in computer vision aiming to identify and classify individual pixels in an image, with numerous applications in for example autonomous driving and medical image analysis. However, semantic segmentation can be highly challenging particularly due to the need for large amounts of annotated data.
Halil Ibrahim Aysel +2 more
openaire +2 more sources
The Optimal Shape Parameter for the Least Squares Approximation Based on the Radial Basis Function
Mathematics, 2020 The radial basis function (RBF) is a class of approximation functions commonly used in interpolation and least squares. The RBF is especially suitable for scattered data approximation and high dimensional function approximation.
Sanpeng Zheng +2 more
doaj +1 more source
A Practical Study of Control in Objected-Oriented–Functional–Logic Programming with Paisley [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 Paisley is an extensible lightweight embedded domain-specific language for nondeterministic pattern matching in Java. Using simple APIs and programming idioms, it brings the power of functional-logic processing of arbitrary data objects to the Java ...
Baltasar Trancón y Widemann +1 more
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Research of Motif-Based Similarity for Link Prediction Problem
IEEE Access, 2021 The link prediction problem in the network concerns to predict the existence of links between node pairs, which is a research hotspot in different scenarios with network applications.
Chao Li +3 more
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CCRO: Citation’s Context & Reasons Ontology
IEEE Access, 2019 Research papers can be visualized as a networked information space that contains a collection of information entities, inter-connected by directed links, commonly known as citation graph.
Imran Ihsan, Muhammad Abdul Qadir
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