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ORCIDJuan Bernabé-Moreno
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2020 – today
- 2024
[i6]Hendrik F. Hamann, Thomas Brunschwiler, Blazhe Gjorgiev, Leonardo S. A. Martins, Alban Puech, Anna Varbella, Jonas Weiss, Juan Bernabé-Moreno, Alexandre Blondin Massé, Seong Choi, Ian T. Foster, Bri-Mathias S. Hodge, Rishabh Jain, Kibaek Kim, Vincent Mai, François Mirallès, Martin De Montigny, Octavio Ramos-Leaños, Hussein Suprême, Le Xie, El-Nasser S. Youssef, Arnaud Zinflou, Alexander J. Belvi, Ricardo J. Bessa, Bishnu Prasad Bhattari, Johannes Schmude, Stanislav Sobolevsky:
A Perspective on Foundation Models for the Electric Power Grid. CoRR abs/2407.09434 (2024)- [i5]Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran:
Prithvi WxC: Foundation Model for Weather and Climate. CoRR abs/2409.13598 (2024) - 2023
- [j12]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): 19 (2023) - [i4]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 abs/2304.10385 (2023) - [i3]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 abs/2311.04007 (2023) - 2022
- [j11]Alona Sakhnenko, Corey O'Meara, Kumar Jang Bahadur Ghosh, Christian B. Mendl, Giorgio Cortiana, Juan Bernabé-Moreno:
Hybrid classical-quantum autoencoder for anomaly detection. Quantum Mach. Intell. 4(2): 1-17 (2022) - [c21]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: 129-136 - [c20]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: 2426-2430 - [c19]Svea Klaus, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
Evaluating Style-Similarity in Extractive Summarization Techniques. SoMeT 2022: 60-71 - [i2]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 abs/2202.08024 (2022) - 2021
- [i1]Marina Fernández-Campoamor, Corey O'Meara, Giorgio Cortiana, Vedran Peric, Juan Bernabé-Moreno:
Community Detection in Electrical Grids Using Quantum Annealing. CoRR abs/2112.08300 (2021) - 2020
- [j10]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) - [j9]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: 156-170 (2020) - [j8]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: 105236 (2020)
2010 – 2019
- 2019
- [c18]Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma:
Web platform for learning distributed databases' queries processing. ITQM 2019: 827-834 - [c17]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: 857-864 - [c16]Juan Bernabé-Moreno, Karsten Wildberger:
A fuzzy linguistic supported framework to increase Artificial Intelligence intelligibility for subject matter experts. ITQM 2019: 865-872 - [c15]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: 916-923 - 2018
- [j7]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): 357-385 (2018) - [j6]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: 44-57 (2018) - [c14]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: 347-360 - [c13]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: 373-385 - [c12]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: 735-748 - 2017
- [j5]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): 653-667 (2017) - [c11]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: 195-206 - [c10]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: 199-210 - [c9]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: 393-404 - [c8]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma:
A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. SoMeT 2017: 99-114 - 2015
- [j4]Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
REFORE: A recommender system for researchers based on bibliometrics. Appl. Soft Comput. 30: 778-791 (2015) - [j3]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): 3381-3395 (2015) - [j2]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: 102-118 (2015) - [j1]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: 163-179 (2015) - [c7]Álvaro Tejeda-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
Recommending scientific papers through a method based on bibliometric measures. IFSA-EUSFLAT 2015 - [c6]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: 493-500 - [c5]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: 603-612 - [c4]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Hamido Fujita, Enrique Herrera-Viedma:
Emotional Profiling of Locations Based on Social Media. ITQM 2015: 960-969 - [c3]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: 1143-1150 - 2014
- [c2]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: 1036-1043 - [c1]Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Enrique Herrera-Viedma:
Leveraging Localized Social Media Insights for Early Warning Systems. ITQM 2014: 1051-1060
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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