| Deep learning for predictive business process monitoring: Review and benchmark E Rama-Maneiro, JC Vidal, M Lama IEEE Transactions on Services Computing 16 (1), 739-756, 2021 | 89 | 2021 |
| Learning analytics framework for educational virtual worlds B Fernández-Gallego, M Lama, JC Vidal, M Mucientes Procedia Computer Science 25, 443-447, 2013 | 67 | 2013 |
| Graph-based semantic annotation for enriching educational content with linked data JC Vidal, M Lama, E Otero-García, A Bugarín Knowledge-Based Systems 55, 29-42, 2014 | 51 | 2014 |
| An optimal and complete algorithm for automatic web service composition P Rodriguez-Mier, M Mucientes, JC Vidal, M Lama International Journal of Web Services Research (IJWSR) 9 (2), 1-20, 2012 | 44 | 2012 |
| Semantic linking of learning object repositories to DBpedia M Lama, JC Vidal, E Otero-García, A Bugarín, S Barro Journal of Educational Technology & Society 15 (4), 47-61, 2012 | 40 | 2012 |
| Softlearn: A process mining platform for the discovery of learning paths BV Barreiros, M Lama, M Mucientes, JC Vidal 2014 IEEE 14th international conference on advanced learning technologies …, 2014 | 37 | 2014 |
| A fuzzy syllogistic reasoning schema for generalized quantifiers M Pereira-Fariña, JC Vidal, F Dĺaz-Hermida, A Bugarĺn Fuzzy Sets and Systems 234, 79-96, 2014 | 36 | 2014 |
| A high-level Petri net ontology compatible with PNML JC Vidal, M Lama, A Bugarín Petri Net Newsletter 71, 11-23, 2006 | 36 | 2006 |
| Machine scheduling in custom furniture industry through neuro-evolutionary hybridization JC Vidal, M Mucientes, A Bugarín, M Lama Applied Soft Computing 11 (2), 1600-1613, 2011 | 35 | 2011 |
| SmartLAK: A big data architecture for supporting learning analytics services T Rabelo, M Lama, RR Amorim, JC Vidal 2015 IEEE frontiers in education conference (FIE), 1-5, 2015 | 32 | 2015 |
| Glucodensities: A new representation of glucose profiles using distributional data analysis M Matabuena, A Petersen, JC Vidal, F Gude Statistical methods in medical research 30 (6), 1445-1464, 2021 | 28 | 2021 |
| Recompiling learning processes from event logs JC Vidal, B Vázquez-Barreiros, M Lama, M Mucientes Knowledge-Based Systems 100, 160-174, 2016 | 26 | 2016 |
| OPENET: Ontology-based engine for high-level Petri nets JC Vidal, M Lama, A Bugarín Expert Systems with Applications 37 (9), 6493-6509, 2010 | 23 | 2010 |
| Processing time estimations by variable structure TSK rules learned through genetic programming M Mucientes, JC Vidal, A Bugarín, M Lama Soft Computing 13, 497-509, 2009 | 22 | 2009 |
| Processing times estimation in a manufacturing industry through genetic programming M Mucientes, JC Vidal, A Bugarin, M Lama 2008 3rd International Workshop on Genetic and Evolving Systems, 95-100, 2008 | 21 | 2008 |
| A 6-minute sub-maximal run test to predict VO2 max M Matabuena, JC Vidal, PR Hayes, F Huelin Trillo Journal of sports sciences 36 (22), 2531-2536, 2018 | 19 | 2018 |
| Semantic description of the Experience API specification JC Vidal, T Rabelo, M Lama 2015 IEEE 15th International Conference on Advanced Learning Technologies …, 2015 | 19 | 2015 |
| Toward the use of Petri nets for the formalization of OWL-S choreographies JC Vidal, M Lama, A Bugarín Knowledge and information systems 32, 629-665, 2012 | 17 | 2012 |
| Application of functional data analysis for the prediction of maximum heart rate M Matabuena, JC Vidal, PR Hayes, M Saavedra-Garcia, FH Trillo IEEE Access 7, 121841-121852, 2019 | 16 | 2019 |
| Characterizing quantifier Fuzzification mechanisms: a behavioral guide for applications F Díaz-Hermida, M Pereira-Farina, JC Vidal, A Ramos-Soto Fuzzy Sets and Systems 345, 1-23, 2018 | 16 | 2018 |
Manuel LamaCiTIUS, University of Santiago de CompostelaVahvistettu sähköpostiosoite verkkotunnuksessa usc.es
