| Avoiding food waste from restaurant tickets: a big data management tool I Gómez-Talal, L González-Serrano, JL Rojo-Álvarez, P Talón-Ballestero Journal of Hospitality and Tourism Technology 15 (2), 232-253, 2024 | 5 | 2024 |
| Understanding the disparities in Mathematics performance: An interpretability-based examination I Gómez-Talal, L Bote-Curiel, JL Rojo-Álvarez Engineering Applications of Artificial Intelligence 133, 108109, 2024 | 1 | 2024 |
| A machine learning approach to predicting ovarian cancer: Integrating clinical and genetic data I Gómez-Talal, A Barquín, L Bote-Curiel, M Yagüe-Fernández, ... Science Talks 10, 100319, 2024 | 1 | 2024 |
| The impact of dynamic pricing on restaurant customers’ perceptions and price sentiment I Gómez-Talal, P Talón-Ballestero, V Leoni, L González-Serrano Tourism Review, 2024 | | 2024 |
| PREDICCIÓN Y ANÁLISIS DE PRODUCCIONES EN LA GENERACIÓN DE ENERGÍA ELÉCTRICA EN PARQUES EÓLICOS D Martinez Perez Universidad Rey Juan Carlos, 2024 | | 2024 |
| Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability: Proceedings of the TURITEC 2023 Conference, October 19–20, 2023, Málaga, Spain AJ Guevara Plaza, A Cerezo Medina, E Navarro Jurado Springer Nature, 2024 | | 2024 |
| Big Data in Restaurant Management: Unsupervised Modelling of Ticket Data and Environmental Variables for Sales Forecasting I Gómez-Talal, L González-Serrano, P Talón-Ballestero, JL Rojo-Álvarez International Conference on Tourism and Information and Communication …, 2023 | | 2023 |
| Predicting Ovarian Cancer with Machine Learning: Integrating Clinical and Genetic Data I Gómez-Talal, A Barquín, L Bote-Curiel, M Yagüe-Fernández, ... 2023 31st European Signal Processing Conference (EUSIPCO), 1160-1164, 2023 | | 2023 |
| Deep Learning and Latent Variables in Nonuniform Antenna Array Processing for Direction of Arrival I Gómez-Talal, L Bote-Curiel, JL Rojo-Álvarez, C Christodoulou, ... 2023 XXXVth General Assembly and Scientific Symposium of the International …, 2023 | | 2023 |
| Interpretable Machine Learning Models for PISA Results in Mathematics I Gómez-Talal, L Bote-Curiel, JL Rojo Álvarez Available at SSRN 4836774, 0 | | |
José Luis Rojo ÁlvarezProfessor of Telecommunication Engineering, Rey Juan Carlos UniversityAdresse e-mail validée de urjc.es