| 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 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 |
| 2015 | EUSFLAT | Recommending scientific papers through a method based on bibliometric measures. | lvaro Tejeda-Lorente, Carlos Porcel, 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 |