Leveraging Localized Social Media Insights for Early Warning Systems. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2014)

Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2014)

Recommending scientific papers through a method based on bibliometric measures. - Álvaro Tejeda-Lorente; Carlos Porcel; Juan Bernabé-Moreno; Enrique Herrera-Viedma (IFSA-EUSFLAT, 2015)

A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques. - Carlos Porcel; María Jesús Lizarte; Juan Bernabé-Moreno; Enrique Herrera-Viedma (IDEAL, 2015)

Emotional Profiling of Locations Based on Social Media. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Hamido Fujita; Enrique Herrera-Viedma (ITQM, 2015)

Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems. - Carlos Porcel; Carmen Martínez-Cruz; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (ITQM, 2015)

A Dynamic Recommender System as Reinforcement for Personalized Education by a Fuzzly Linguistic Web System. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Carlos Porcel; Pablo Galindo-Moreno; Enrique Herrera-Viedma (ITQM, 2015)

REFORE: A recommender system for researchers based on bibliometrics. - Álvaro Tejeda-Lorente; Carlos Porcel; Juan Bernabé-Moreno; Enrique Herrera-Viedma (Appl. Soft Comput., 2015)

A new model to quantify the impact of a topic in a location over time with Social Media. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (Expert Syst. Appl., 2015)

A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling. - Carmen Martínez-Cruz; Carlos Porcel; Juan Bernabé-Moreno; Enrique Herrera-Viedma (Inf. Sci., 2015)

CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Hamido Fujita; Enrique Herrera-Viedma (Knowl. Based Syst., 2015)

A Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (EUSFLAT/IWIFSGN (1), 2017)

Analysis of Different Proposals to Improve the Dissemination of Information in University Digital Libraries. - Carlos Porcel; Alberto Ching-López; Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Enrique Herrera-Viedma (EUSFLAT/IWIFSGN (3), 2017)

Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Carlos Porcel; Enrique Herrera-Viedma (EUSFLAT/IWIFSGN (3), 2017)

A Holistic Domain Knowledge Discovery and Recommendation System for Collaborative Wikis. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (SoMeT, 2017)

Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries. - Carlos Porcel; Alberto Ching-López; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (J. Inf. Process. Syst., 2017)

An Embeddings Based Fuzzy Linguistics Supported Model to Measure the Contextual Bias in Sentiment Polarity. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (SoMeT, 2018)

Using Information Extracted from Microblogs in Order to Palliate the Cold Start Problem in Recommender Systems. - Julio Herce-Zelaya; Carlos Porcel; Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Enrique Herrera-Viedma (SoMeT, 2018)

Adapting Recommender Systems to the New Data Privacy Regulations. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (SoMeT, 2018)

Leveraging Localized Social Media Insights for Industry Early Warning Systems. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Enrique Herrera-Viedma (Int. J. Inf. Technol. Decis. Mak., 2018)

Quantifying the emotional impact of events on locations with social media. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Carlos Porcel; Hamido Fujita; Enrique Herrera-Viedma (Knowl. Based Syst., 2018)

An automatic skills standardization method based on subject expert knowledge extraction and semantic matching. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2019)

A fuzzy linguistic supported framework to increase Artificial Intelligence intelligibility for subject matter experts. - Juan Bernabé-Moreno; Karsten Wildberger (ITQM, 2019)

Web platform for learning distributed databases' queries processing. - Julio Herce-Zelaya; Carlos Porcel; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (ITQM, 2019)

A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. - Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (ITQM, 2019)

Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology. - Carlos Porcel; Julio Herce-Zelaya; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (Int. J. Comput. Commun. Control, 2020)

New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. - Julio Herce-Zelaya; Carlos Porcel; Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Enrique Herrera-Viedma (Inf. Sci., 2020)

A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary. - Juan Bernabé-Moreno; Álvaro Tejeda-Lorente; Julio Herce-Zelaya; Carlos Porcel; Enrique Herrera-Viedma (Knowl. Based Syst., 2020)

Community Detection in Electrical Grids Using Quantum Annealing. - Marina Fernández-Campoamor; Corey O'Meara; Giorgio Cortiana; Vedran Peric; Juan Bernabé-Moreno (CoRR, 2021)

Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework. - Raúl Berganza Gómez; Corey O'Meara; Giorgio Cortiana; Christian B. Mendl; Juan Bernabé-Moreno (ICSA Companion, 2022)

Summarizing Legal Regulatory Documents using Transformers. - Svea Klaus; Ria Van Hecke; Kaweh Djafari Naini; Ismail Sengor Altingovde; Juan Bernabé-Moreno; Enrique Herrera-Viedma (SIGIR, 2022)

Evaluating Style-Similarity in Extractive Summarization Techniques. - Svea Klaus; Juan Bernabé-Moreno; Enrique Herrera-Viedma (SoMeT, 2022)

Hybrid classical-quantum autoencoder for anomaly detection. - Alona Sakhnenko; Corey O'Meara; Kumar Jang Bahadur Ghosh; Christian B. Mendl; Giorgio Cortiana; Juan Bernabé-Moreno (Quantum Mach. Intell., 2022)

Quadratic quantum speedup in evaluating bilinear risk functions. - 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 (CoRR, 2023)

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. - 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; et al. (CoRR, 2023)

Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. - Julio Herce-Zelaya; Carlos Porcel; Álvaro Tejeda-Lorente; Juan Bernabé-Moreno; Enrique Herrera-Viedma (Inf., 2023)

A Perspective on Foundation Models for the Electric Power Grid. - 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; et al. (CoRR, 2024)

Prithvi WxC: Foundation Model for Weather and Climate. - 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; et al. (CoRR, 2024)

AI Foundation Model for Heliophysics: Applications, Design, and Implementation. - Sujit Roy; Talwinder Singh; Marcus Freitag; Johannes Schmude; Rohit Lal; Dinesha Hegde; Soumya Ranjan; Amy Lin; Vishal Gaur; Etienne Eben Vos; Rinki Ghosal; Badri Narayana Patro; et al. (CoRR, 2024)

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. - Daniela Szwarcman; Sujit Roy; Paolo Fraccaro; Þorsteinn Elí Gíslason; Benedikt Blumenstiel; Rinki Ghosal; Pedro Henrique de Oliveira; João Lucas de Sousa Almeida; Rocco Sedona; Yanghui Kang; Srija Chakraborty; Sizhe Wang; et al. (CoRR, 2024)

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data. - Benedikt Blumenstiel; Paolo Fraccaro; Valerio Marsocci; Johannes Jakubik; Stefano Maurogiovanni; Mikolaj Czerkawski; Rocco Sedona; Gabriele Cavallaro; Thomas Brunschwiler; Juan Bernabé-Moreno; Nicolas Longépé (CVPR Workshops, 2025)

TerraMind: Large-Scale Generative Multimodality for Earth Observation. - Johannes Jakubik; Felix Yang; Benedikt Blumenstiel; Erik Scheurer; Rocco Sedona; Stefano Maurogiovanni; Jente Bosmans; Nikolaos Dionelis; Valerio Marsocci; Niklas Kopp; Rahul Ramachandran; Paolo Fraccaro; et al. (CoRR, 2025)

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation. - Cécile Rousseau; Tobia Boschi; Giandomenico Cornacchia; Dhaval Salwala; Alessandra Pascale; Juan Bernabé-Moreno (CoRR, 2025)

ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks. - Akashah Shabbir; Muhammad Akhtar Munir; Akshay Dudhane; Muhammad Umer Sheikh; Muhammad Haris Khan; Paolo Fraccaro; Juan Bernabé-Moreno; Fahad Shahbaz Khan; Salman Khan 001 (CoRR, 2025)