Artículos con órdenes de acceso público - Ariam RivasMás información
Disponibles en algún lugar: 9
Transforming heterogeneous data into knowledge for personalized treatments—a use case
ME Vidal, KM Endris, S Jazashoori, A Sakor, A Rivas
Datenbank-Spektrum 19, 95-106, 2019
Órdenes: European Commission
Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities
A Sakor, S Jozashoori, E Niazmand, A Rivas, K Bougiatiotis, F Aisopos, ...
Journal of Web Semantics 75, 100760, 2023
Órdenes: Leibniz Association, European Commission
Unveiling relations in the industry 4.0 standards landscape based on knowledge graph embeddings
A Rivas, I Grangel-González, D Collarana, J Lehmann, ME Vidal
International Conference on Database and Expert Systems Applications, 179-194, 2020
Órdenes: European Commission
Knowledge graphs for enhancing transparency in health data ecosystems
F Aisopos, S Jozashoori, E Niazmand, D Purohit, A Rivas, A Sakor, ...
Semantic Web 14 (5), 943-976, 2023
Órdenes: Leibniz Association, European Commission
A neuro-symbolic system over knowledge graphs for link prediction
A Rivas, D Collarana, M Torrente, ME Vidal
Semantic Web 15 (4), 1307-1331, 2024
Órdenes: European Commission
Capturing knowledge about drug-drug interactions to enhance treatment effectiveness
A Rivas, ME Vidal
Proceedings of the 11th Knowledge Capture Conference, 33-40, 2021
Órdenes: European Commission
Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact
S Dost, A Rivas, H Begali, A Ziegler, E Aliabadi, M Cornberg, AR Kraft, ...
Proceedings of the 12th Knowledge Capture Conference 2023, 241-249, 2023
Órdenes: Leibniz Association, Volkswagen Foundation
SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning
D Purohit, Y Chudasama, A Rivas, ME Vidal
Proceedings of the 12th Knowledge Capture Conference 2023, 44-52, 2023
Órdenes: Leibniz Association
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings.
A Rivas, I Grangel-Gonzalez, D Collarana, J Lehmann, ME Vidal
J. Data Intell. 2 (3), 326-347, 2021
Órdenes: European Commission
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