Multi-granulation Strategy via Feature Subset Extraction by Using a Genetic Algorithm and a Rough Sets-Based Measure of Dependence. - Ariam Rivas; Ricardo Navarro; Chyon Hae Kim; Rafael Bello 001 (CIARP, 2018)

Aplicación de Métodos de Aprendizaje Automático en un Sistema basado en Ontología (Application of Machine Learning Methods in a System Based on Ontology). - María Isabel Castellanos; Ariam Rivas; Emilio Lucas (IWSW, 2018)

Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use Case. - Maria-Esther Vidal; Kemele M. Endris; Samaneh Jazashoori; Ahmad Sakor; Ariam Rivas (Datenbank-Spektrum, 2019)

Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings. - Ariam Rivas; Irlán Grangel-González; Diego Collarana; Jens Lehmann 001; Maria-Esther Vidal (DEXA (2), 2020)

Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. - Nacira Abbas; Kholoud Alghamdi; Mortaza Alinam; Francesca Alloatti; Glenda C. M. Amaral; Claudia d'Amato; Luigi Asprino; Martin Beno; Felix Bensmann; Russa Biswas; Ling Cai; Riley Capshaw; et al. (CoRR, 2020)

Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness. - Ariam Rivas; Maria-Esther Vidal (K-CAP, 2021)

Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings. - Ariam Rivas; Irlán Grangel-González; Diego Collarana; Jens Lehmann 001; Maria-Esther Vidal (J. Data Intell., 2021)

Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities. - Ahmad Sakor; Samaneh Jozashoori; Emetis Niazmand; Ariam Rivas; Konstantinos Bougiatiotis; Fotis Aisopos; Enrique Iglesias; Philipp D. Rohde; Trupti Padiya; Anastasia Krithara; Georgios Paliouras; Maria-Esther Vidal (CoRR, 2022)

Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact. - Shahi Dost; Ariam Rivas; Hanan Begali; Annett Ziegler; Elimira Aliabadi; Markus Cornberg; Anke Rm Kraft; Maria-Esther Vidal (K-CAP, 2023)

SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning. - Disha Purohit; Yashrajsinh Chudasama; Ariam Rivas; Maria-Esther Vidal (K-CAP, 2023)

Knowledge graphs for enhancing transparency in health data ecosystems. - Fotis Aisopos; Samaneh Jozashoori; Emetis Niazmand; Disha Purohit; Ariam Rivas; Ahmad Sakor; Enrique Iglesias; Dimitrios Vogiatzis; Ernestina Menasalvas; Alejandro Rodríguez González; Guillermo Vigueras; Daniel Gómez-Bravo; et al. (Semantic Web, 2023)

Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities. - Ahmad Sakor; Samaneh Jozashoori; Emetis Niazmand; Ariam Rivas; Konstantinos Bougiatiotis; Fotis Aisopos; Enrique Iglesias; Philipp D. Rohde; Trupti Padiya; Anastasia Krithara; Georgios Paliouras; Maria-Esther Vidal (J. Web Semant., 2023)

Computational and human-based methods for knowledge discovery over knowledge graphs. - Ariam Rivas (2023)

A neuro-symbolic system over knowledge graphs for link prediction. - Ariam Rivas; Diego Collarana; Maria Torrente; Maria-Esther Vidal (Semantic Web, 2024)

Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management. - Ahmad Sakor; Mauricio Brunet; Enrique Iglesias; Ariam Rivas; Philipp D. Rohde; Angelina Kraft; Maria-Esther Vidal (WSDM, 2025)

SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations. - Kossi Amouzouvi; Yashrajsinh Chudasama; Disha Purohit; Ariam Rivas; Bowen Song; Jens Lehmann 001; Sahar Vahdati; Maria-Esther Vidal (IEEE Access, 2025)