| 2018 | SoMeT | An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. | Juan Bernab-Moreno, lvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma |
| 2018 | SoMeT | Using the AHP Model to Improve the Measurement of Satisfaction in the ICT Sector. | Ramn Alberto Carrasco, Laura N. Forero, Santiago X. Lpez, Enrique Herrera-Viedma, Carlos Porcel |
| 2018 | SoMeT | Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems. | Julio Herce-Zelaya, Carlos Porcel, lvaro Tejeda-Lorente, Juan Bernab-Moreno, Enrique Herrera-Viedma |
| 2018 | SoMeT | Adapting Recommender Systems to the New Data Privacy Regulations. | lvaro Tejeda-Lorente, Juan Bernab-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma |
| 2017 | EUSFLAT | A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. | Juan Bernab-Moreno, lvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma |
| 2017 | EUSFLAT | Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries. | Carlos Porcel, Alberto Ching-Lpez, lvaro Tejeda-Lorente, Juan Bernab-Moreno, Enrique Herrera-Viedma |
| 2017 | EUSFLAT | Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries. | lvaro Tejeda-Lorente, Juan Bernab-Moreno, Carlos Porcel, Enrique Herrera-Viedma |
| 2017 | SoMeT | A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. | Juan Bernab-Moreno, lvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma |
| 2016 | SMC | Improving queries and representing heterogeneous information in Fuzzy Ontologies using multi-granular fuzzy linguistic modelling methods. | Juan Antonio Morente-Molinera, Ignacio Javier Prez, Francisco Javier Cabrerizo, Carlos Porcel, Enrique Herrera-Viedma |
| 2015 | EUSFLAT | Recommending scientific papers through a method based on bibliometric measures. | lvaro Tejeda-Lorente, Carlos Porcel, Juan Bernab-Moreno, Enrique Herrera-Viedma |
| 2015 | IDEAL | A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques. | Carlos Porcel, Mara Jess Lizarte, Juan Bernab-Moreno, Enrique Herrera-Viedma |
| 2011 | ISDA | Using memory to reduce the information overload in a university digital library. | lvaro Tejeda-Lorente, Carlos Porcel, Mara ngeles Martnez, Antonio Gabriel Lpez-Herrera, Enrique Herrera-Viedma |
| 2009 | ISDA | Using Incomplete Fuzzy Linguistic Preference Relations to Characterize User Profiles in Recommender Systems. | Enrique Herrera-Viedma, Carlos Porcel |
| 2007 | IFSA | Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. | Antonio Gabriel Lpez-Herrera, Enrique Herrera-Viedma, Francisco Herrera, Carlos Porcel, Sergio Alonso |
| 2006 | FQAS | Improving the User-System Interaction in a Web Multi-agent System Using Fuzzy Multi-granular Linguistic Information. | Enrique Herrera-Viedma, Carlos Porcel, Antonio Gabriel Lpez-Herrera, Sergio Alonso, Amelia Zafra |
| 2006 | MDAI | Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. | Sergio Alonso, Enrique Herrera-Viedma, Francisco Chiclana, Francisco Herrera, Carlos Porcel |
| 2005 | EUSFLAT | A New Model of Linguistic Weighted Information Retrieval System. | Enrique Herrera-Viedma, Antonio Gabriel Lpez-Herrera, Carlos Porcel |