| Using linked data to mine RDF from wikipedia's tables E Muñoz, A Hogan, A Mileo Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 66 | 2014 |
| Triplifying Wikipedia’s Tables E Muñoz, A Hogan, A Mileo In Proceedings of the Linked Data for Information Extraction Workshop (LD4IE …, 2013 | 34 | 2013 |
| Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms P Minervini, L Costabello, E Muñoz, V Nováček, PY Vandenbussche ECML/PKDD, 2017 | 32 | 2017 |
| Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models E Muñoz, V Nováček, PY Vandenbussche Briefings in bioinformatics 20 (1), 190-202, 2019 | 26 | 2019 |
| Using drug similarities for discovery of possible adverse reactions E Muñoz, V Nováček, PY Vandenbussche AMIA Annual Symposium Proceedings 2016, 924, 2016 | 19 | 2016 |
| Loss Functions in Knowledge Graph Embedding Models. SK Mohamed, V Novácek, PY Vandenbussche, E Muñoz DL4KG@ ESWC, 1-10, 2019 | 10 | 2019 |
| Mining cardinalities from knowledge bases E Muñoz, M Nickles International Conference on Database and Expert Systems Applications, 447-462, 2017 | 9 | 2017 |
| Performance Analysis of Algorithms to Reason about XML Keys F Ferrarotti, S Hartmann, S Link, M Marin, E Muñoz Database and Expert Systems Applications, 101-115, 2012 | 9 | 2012 |
| DRETa: Extracting RDF from Wikitables E Muñoz, A Hogan, A Mileo In Demo Proceedings of the 12th International Semantic Web Conference (ISWC …, 2013 | 8* | 2013 |
| A linked data-based decision tree classifier to review movies S Aldarra, E Munoz Know@ LOD, 2015 | 7 | 2015 |
| Identifying Equivalent Relation Paths in Knowledge Graphs SK Mohamed, E Muñoz, V Nováček, PY Vandenbussche International Conference on Language, Data and Knowledge, 299-314, 2017 | 6 | 2017 |
| On learnability of constraints from RDF data E Munoz European Semantic Web Conference, 834-844, 2016 | 6 | 2016 |
| Learning Content Patterns from Linked Data E Muñoz Linked Data for Information Extraction, 2014 | 4 | 2014 |
| Soft Cardinality Constraints on XML Data F Ferrarotti, S Hartmann, S Link, M Marin, E Muñoz Web Information Systems Engineering - WISE 2013, 2013 | 4 | 2013 |
| The Finite Implication Problem for Expressive XML Keys: Foundations, Applications, and Performance Evaluation F Ferrarotti, S Hartmann, S Link, M Marin, E Muñoz Transactions on Large-Scale Data and Knowledge-Centered Systems, 2013 | 4 | 2013 |
| Embedding cardinality constraints in neural link predictors E Muñoz, P Minervini, M Nickles Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2243-2250, 2019 | 3 | 2019 |
| Statistical relation cardinality bounds in knowledge bases E Muñoz, M Nickles Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXIX, 67-97, 2018 | 3 | 2018 |
| LODPeas: Like peas in a LOD (cloud) A Hogan, E Muñoz, J Umbrich In Proceedings of the Billion Triple Challenge 2012 (co-located with …, 2012 | 3 | 2012 |
| A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews. S Yumusak, E Muñoz, P Minervini, E Dogdu, H Kodaz (KNOW@ LOD/CoDeS)@ ESWC, 2016 | 2 | 2016 |
| Validation of expressive XML keys with XML schema and XQuery B Liu, S Link, E Muñoz Asia-Pacific Conference on Conceptual Modelling, 2015 | 2 | 2015 |
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