| A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling C Martinez-Cruz, C Porcel, J Bernabé-Moreno, E Herrera-Viedma Information Sciences 311, 102-118, 2015 | 151 | 2015 |
| New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests J Herce-Zelaya, A Tejeda-Lorente, J Bernabé-Moreno, C Porcel, ... Information Sciences, 2020 | 103 | 2020 |
| CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information J Bernabé-Moreno, A Tejeda-Lorente, C Porcel, H Fujita, ... Knowledge-Based Systems 80, 163-179, 2015 | 62 | 2015 |
| REFORE: A recommender system for researchers based on bibliometrics A Tejeda-Lorente, C Porcel, J Bernabé-Moreno, E Herrera-Viedma Applied Soft Computing 30, 778-791, 2015 | 61 | 2015 |
| A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary J Bernabé-Moreno, A Tejeda-Lorente, J Herce-Zelaya, C Porcel, ... Knowledge-Based Systems 190, 105236, 2020 | 36 | 2020 |
| A dynamic recommender system as reinforcement for personalized education by a fuzzly linguistic web system Á Tejeda-Lorente, J Bernabé-Moreno, C Porcel, P Galindo-Moreno, ... Procedia Computer Science 55, 1143-1150, 2015 | 36 | 2015 |
| Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data K Mayer, L Haas, T Huang, J Bernabé-Moreno, R Rajagopal, M Fischer Applied Energy 333, 120542, 2023 | 29 | 2023 |
| Quantifying the emotional impact of events on locations with social media J Bernabé-Moreno, A Tejeda-Lorente, C Porcel, H Fujita, ... Knowledge-Based Systems 146, 44-57, 2018 | 29 | 2018 |
| A new model to quantify the impact of a topic in a location over time with social media J Bernabé-Moreno, A Tejeda-Lorente, C Porcel, E Herrera-Viedma Expert Systems with Applications 42 (7), 3381-3395, 2015 | 27 | 2015 |
| Integrating ontologies and fuzzy logic to represent user-trustworthiness in recommender systems C Porcel, C Martinez-Cruz, J Bernabé-Moreno, Á Tejeda-Lorente, ... Procedia Computer Science 55, 603-612, 2015 | 27 | 2015 |
| Hybrid classical-quantum autoencoder for anomaly detection A Sakhnenko, C O’Meara, KJB Ghosh, CB Mendl, G Cortiana, ... Quantum Machine Intelligence 4 (2), 27, 2022 | 23 | 2022 |
| Summarizing Legal Regulatory Documents using Transformers S Klaus, R Van Hecke, K Djafari-Naini, I Sengor-Altingovde, ... ACM SIGIR 2022, 2022 | 21 | 2022 |
| Practical quantum k-means clustering: Performance analysis and applications in energy grid classification S DiAdamo, C O’Meara, G Cortiana, J Bernabé-Moreno IEEE Transactions on Quantum Engineering 3, 1-16, 2022 | 19 | 2022 |
| Emotional profiling of locations based on social media J Bernabé-Moreno, A Tejeda-Lorente, C Porcel, H Fujita, ... Procedia Computer Science 55, 960-969, 2015 | 18 | 2015 |
| A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds A Tejeda-Lorente, J Bernabé-Moreno, J Herce-Zelaya, C Porcel, ... Procedia Computer Science 162, 916 - 923, 2019 | 16 | 2019 |
| Integrating quality criteria in a fuzzy linguistic recommender system for digital libraries A Tejeda-Lorente, J Bernabé-Moreno, C Porcel, E Herrera-Viedma Procedia Computer Science 31, 1036-1043, 2014 | 16 | 2014 |
| An automatic skills standardization method based on subject expert knowledge extraction and semantic matchin J Bernabé-Moreno, A Tejeda-Lorente, J Herce-Zelaya, C Porcel, ... Procedia Computer Science 162, 857 - 864, 0 | 15* | |
| Community detection in electrical grids using quantum annealing M Fernández-Campoamor, C O'Meara, G Cortiana, V Peric, ... arXiv preprint arXiv:2112.08300, 2021 | 14 | 2021 |
| Leveraging localized social media insights for industry early warning systems J Bernabé-Moreno, Á Tejeda-Lorente, C Porcel-Gallego, ... International Journal of Information Technology & Decision Making 17 (01 …, 2018 | 14* | 2018 |
| Introducing CSP dataset: A dataset optimized for the study of the cold start problem in recommender systems J Herce-Zelaya, C Porcel, Á Tejeda-Lorente, J Bernabé-Moreno, ... Information 14 (1), 19, 2022 | 11 | 2022 |
Enrique Herrera-ViedmaProfessor of Computer Science and Artificial Intelligence, Spain, University of GranadaEmail verificata su decsai.ugr.es