| 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 | 35 | 2019 |
| Procedimiento para el pronóstico de la demanda mediante redesneuronales artificiales YO Lao-León, A Rivas-Méndez, MC Pérez-Pravia, F Marrero-Delgado Ciencias Holguín 23 (1), 43-59, 2017 | 33 | 2017 |
| 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 | 32 | 2023 |
| 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 | 21 | 2020 |
| 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 | 15 | 2023 |
| 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 | 13 | 2024 |
| Capturing knowledge about drug-drug interactions to enhance treatment effectiveness A Rivas, ME Vidal Proceedings of the 11th Knowledge Capture Conference, 33-40, 2021 | 8 | 2021 |
| 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 | 4 | 2023 |
| 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 | 4 | 2023 |
| Knowledge Graphs Evolution and Preservation--A Technical Report from ISWS 2019 N Abbas, K Alghamdi, M Alinam, F Alloatti, G Amaral, C d'Amato, ... arXiv preprint arXiv:2012.11936, 2020 | 4 | 2020 |
| 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 | 3 | 2021 |
| Multi-granulation strategy via feature subset extraction by using a genetic algorithm and a rough sets-based measure of dependence A Rivas, R Navarro, CH Kim, R Bello Iberoamerican Congress on Pattern Recognition, 203-211, 2018 | 2 | 2018 |
| Procedimiento para el pronóstico de la demanda mediante redes neuronales artificiales/Procedure for forecasting demand by using artificial neural networks YO Lao-León, A Rivas-Méndez, MC Pérez-Pravia, F Marrero-Delgado | 2 | 2017 |
| Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management A Sakor, M Brunet, E Iglesias, A Rivas, PD Rohde, A Kraft, ME Vidal Proceedings of the Eighteenth ACM International Conference on Web Search and …, 2025 | | 2025 |
| Monitoring and Decision Support in Treatment Modalities for Lung Cancer AR Gonzalez, E Menasalvas, F Aisopos, D Vogiatzis, A Krithara, ... TECHNOLOGY IN HEALTHCARE, 197, 2024 | | 2024 |
| Computational and human-based methods for knowledge discovery over knowledge graphs A Rivas Méndez Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2023 | | 2023 |
| Aplicación de métodos de aprendizaje automático en un sistema basado en ontología MIC Domínguez, AR Méndez, EEL López XV Congreso Internacional de Información Info'2018, 2018 | | 2018 |
| Aplicación de Métodos de Aprendizaje Automático en un Sistema basado en Ontología (Application of Machine Learning Methods in a System Based on Ontology). MI Castellanos, A Rivas, E Lucas IWSW, 86-97, 2018 | | 2018 |
| Estudio experimental sobre algoritmos de clasificación supervisada basados en cubrimiento secuencial A Rivas Méndez | | 2014 |
| Estudio experimental sobre algoritmos de clasificación supervisada basados en reglas en conjuntos de datos de alta dimensión A Rivas Méndez Universidad de Holguín, Facultad Informática Matemática, Departamento de …, 2014 | | 2014 |
Maria-Esther VidalProfessor Leibniz University of Hannover, TIB, L3S Research Center; Universidad Simon BolivarDirección de correo verificada de l3s.de
