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Mostrando ítems 181-187 de 187
Artículo
Evolutionary 3D Image Segmentation of Curve Epithelial Tissues of Drosophila melanogaster
(MDPI, 2021)
Analysing biological images coming from the microscope is challenging; not only is it complex to acquire the images, but also the three-dimensional shapes found on them. Thus, using automatic approaches that could learn ...
Artículo
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 ...
Artículo
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 ...
Artículo
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 ...
Artículo
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 ...
Artículo
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 ...
Artículo
Thinking about spiking neural P systems: some theories, tools, and research topics
(SPRINGER; SPRINGERNATURE; Springer Science and Business Media LLC, 2024)
The present work focuses on three notions about spiking neural P systems (SN P systems), namely normal forms, homogeneous systems, and software tools for easy access and visual simulation of such systems. The three notions ...