Juan Bernabé-Moreno

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 35

Top Topics

Recommender Systems

Fuzzy Linguistic

Top Venues

Knowl. Based Syst.

Publications

Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. Inf. 14 (1) (2023)
Direnc Pekaslan, Jose Maria Alonso-Moral, Kasun Bandara, Christoph Bergmeir, Juan Bernabé-Moreno, Robert Eigenmann, Nils Einecke, Selvi Ergen, Rakshitha Godahewa, Hansika Hewamalage, Jesus Lago, Steffen Limmer, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR (2023)
Gabriele Agliardi, Corey O'Meara, Kavitha Yogaraj, Kumar Jang Bahadur Ghosh, Piergiacomo Sabino, Marina Fernández-Campoamor, Giorgio Cortiana, Juan Bernabé-Moreno, Francesco Tacchino, Antonio Mezzacapo, Omar Shehab
Quadratic quantum speedup in evaluating bilinear risk functions. CoRR (2023)
Raúl Berganza Gómez, Corey O'Meara, Giorgio Cortiana, Christian B. Mendl, Juan Bernabé-Moreno
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework. CoRR (2022)
Svea Klaus, Ria Van Hecke, Kaweh Djafari Naini, Ismail Sengor Altingovde, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Summarizing Legal Regulatory Documents using Transformers. SIGIR (2022)
Svea Klaus, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Evaluating Style-Similarity in Extractive Summarization Techniques. SoMeT (2022)
Raúl Berganza Gómez, Corey O'Meara, Giorgio Cortiana, Christian B. Mendl, Juan Bernabé-Moreno
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework. ICSA Companion (2022)
Alona Sakhnenko, Corey O'Meara, Kumar J. B. Ghosh, Christian B. Mendl, Giorgio Cortiana, Juan Bernabé-Moreno
Hybrid classical-quantum autoencoder for anomaly detection. Quantum Mach. Intell. 4 (2) (2022)
Marina Fernández-Campoamor, Corey O'Meara, Giorgio Cortiana, Vedran Peric, Juan Bernabé-Moreno
Community Detection in Electrical Grids Using Quantum Annealing. CoRR (2021)
Carlos Porcel, Julio Herce-Zelaya, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology. Int. J. Comput. Commun. Control 15 (3) (2020)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary. Knowl. Based Syst. 190 (2020)
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Inf. Sci. 536 (2020)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. ITQM (2019)
Juan Bernabé-Moreno, Karsten Wildberger
A fuzzy linguistic supported framework to increase Artificial Intelligence intelligibility for subject matter experts. ITQM (2019)
Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Web platform for learning distributed databases' queries processing. ITQM (2019)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
An automatic skills standardization method based on subject expert knowledge extraction and semantic matching. ITQM (2019)
Julio Herce-Zelaya, Carlos Porcel, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems. SoMeT (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. SoMeT (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
Quantifying the emotional impact of events on locations with social media. Knowl. Based Syst. 146 (2018)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Carlos Porcel, Enrique Herrera-Viedma
Adapting Recommender Systems to the New Data Privacy Regulations. SoMeT (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
Leveraging Localized Social Media Insights for Industry Early Warning Systems. Int. J. Inf. Technol. Decis. Mak. 17 (1) (2018)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. SoMeT (2017)
Carlos Porcel, Alberto Ching-López, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries. J. Inf. Process. Syst. 13 (4) (2017)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries. EUSFLAT/IWIFSGN (3) (2017)
Carlos Porcel, Alberto Ching-López, Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries. EUSFLAT/IWIFSGN (3) (2017)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. EUSFLAT/IWIFSGN (1) (2017)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information. Knowl. Based Syst. 80 (2015)
Carmen Martínez-Cruz, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling. Inf. Sci. 311 (2015)
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
REFORE: A recommender system for researchers based on bibliometrics. Appl. Soft Comput. 30 (2015)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma
Emotional Profiling of Locations Based on Social Media. ITQM (2015)
Carlos Porcel, Carmen Martínez-Cruz, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma
Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems. ITQM (2015)
Carlos Porcel, María Jesús Lizarte, Juan Bernabé-Moreno, Enrique Herrera-Viedma
A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques. IDEAL (2015)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
A new model to quantify the impact of a topic in a location over time with Social Media. Expert Syst. Appl. 42 (7) (2015)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Pablo Galindo-Moreno, Enrique Herrera-Viedma
A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System. ITQM (2015)
Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Recommending scientific papers through a method based on bibliometric measures. IFSA-EUSFLAT (2015)
Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Carlos Porcel, Enrique Herrera-Viedma
Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries. ITQM (2014)
Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma
Leveraging Localized Social Media Insights for Early Warning Systems. ITQM (2014)