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Analysis of the microstructure and mechanical properties of Titanium-based composites reinforced by secondary phases and B4C particles produced via direct hot pressing
(MDPI, 2017)
In the last decade, titanium metal matrix composites (TMCs) have received considerable attention thanks to their interesting properties as a consequence of the clear interface between the matrix and the reinforcing phases ...
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CAFE: Fact Checking in Knowledge Graphs using Neighborhood-Aware Features
(IOS Press, 2020)
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they ...
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Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data
(American Geophysical Union (AGU), 2017)
Quantifying biomass consumption and carbon release is critical to understanding the role of fires in the carbon cycle and air quality. We present a methodology to estimate the biomass consumed and the carbon released by ...
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Using prior knowledge in the inference of gene association networks
(Springer, 2020)
Traditional computational techniques are recently being improved with the use of prior biological knowledge from open access repositories in the area of gene expression data analysis. In this work, we propose the use of ...
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Finding representative patterns withordered projections
(Elsevier, 2003)
This paper presents a new approach to 2nding representative patterns for dataset editing. The algorithm patterns by ordered projections (POP), has some interesting characteristics: important reduction of the number of ...
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Explainable machine learning for sleep apnea prediction
(ScienceDirect, 2022)
Machine and deep learning has become one of the most useful tools in the last years as a diagnosis-decision-support tool in the health area. However, it is widely known that artificial intelligence models are considered a ...
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LEAPME: Learning-based Property Matching with Embeddings
(Cornell University, 2020)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...
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A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case
(Elsevier, 2023-12)
The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of challenges in many aspects of modern power systems, among which are the issues related to the low ...