| Java-based framework for implementing soft real-time distributed applications J Rodríguez, D Decouchant, S Mendoza, CM Escobar 2008 Mexican International Conference on Computer Science, 163-168, 2008 | 5 | 2008 |
| Towards a better performance in facial expression recognition: a data-centric approach C Mejia-Escobar, M Cazorla, E Martinez-Martin Computational Intelligence and Neuroscience 2023, 2023 | 4 | 2023 |
| Delimitación automática de ceniza volcánica en imágenes satelitales mediante Deep Learning RJ Aldás Núñez, KV Tuz Chamorro, JA Vega Ocaña, MS Velasco Haro, ... FIGEMPA: Investigación y Desarrollo 13 (1), 48-58, 2022 | 4 | 2022 |
| Landslide prediction with machine learning and time windows B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ... International Work-Conference on the Interplay Between Natural and …, 2022 | 2 | 2022 |
| Herramienta autoconfigurable para el desarrollo de aplicaciones distribuidas de tiempo real flexibles y dinámicas CIM Escobar Centro de Investigación y Estudios Avanzados del IPN, México, 2007 | 2 | 2007 |
| Improving Facial Expression Recognition through Data Preparation & Merging C Mejia-Escobar, M Cazorla, E Martinez-Martin IEEE Access, 2023 | 1 | 2023 |
| Estimación de áreas de cultivo mediante Deep Learning y programación convencional J Caicedo, P Acosta, R Pozo, H Guilcapi, C Mejia-Escobar arXiv preprint arXiv 2207, 2022 | 1 | 2022 |
| Defining High Risk Landslide Areas Using Machine Learning B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ... International Work-Conference on the Interplay Between Natural and …, 2022 | 1 | 2022 |
| 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) HS González, IP López, PG Bringas, H Quintián, E Corchado Springer Nature, 2021 | 1 | 2021 |
| A large visual, qualitative and quantitative dataset of web pages C Mejia-Escobar, M Cazorla, E Martinez-Martin arXiv preprint arXiv:2105.07113, 2021 | 1 | 2021 |
| Estimación del Riesgo de Deslizamientos Mediante Algoritmos de Aprendizaje Automático (Vía Calacalí-Nanegalito) D Bustos, S Estrada, G Soria, C Mejia-Escobar | 1 | |
| Descripción automática de secciones delgadas de rocas: una aplicación Web CMEVC Stalyn Paucar 10.48550/arXiv.2402.15039, 21, 2024 | | 2024 |
| Improving landslide prediction by computer vision and deep learning B Guerrero-Rodriguez, J Garcia-Rodriguez, J Salvador, C Mejia-Escobar, ... Integrated Computer-Aided Engineering 31 (1), 77-94, 2024 | | 2024 |
| A Large Visual, Qualitative, and Quantitative Dataset for Web Intelligence Applications C Mejia-Escobar, M Cazorla, E Martinez-Martin Computational Intelligence and Neuroscience 2023, 2023 | | 2023 |
| Volcanic ash delimitation using Artificial Intelligence based on Pix2Pix C Carrillo, G Torres, C Mejia-Escobar arXiv preprint arXiv:2307.12970, 2023 | | 2023 |
| Improving Landslides Prediction: Meteorological Data Preprocessing Based on Supervised and Unsupervised Learning B Guerrero-Rodriguez, J Salvador-Meneses, J Garcia-Rodriguez, ... Cybernetics and Systems, 1-25, 2023 | | 2023 |
| Delimitación de Ceniza Volcánica Mediante Inteligencia Artificial Basada en Pix2Pix C Carrillo, G Torres, C Mejía-Escobar arXiv preprint arXiv:2307.12970, 2023 | | 2023 |
| Artificial image dataset of categorical emotions (generated with Stable Diffusion) EMM Christian Mejia-Escobar, Miguel Cazorla https://www.kaggle.com/datasets/mejiaescobarchris/fer-stable-diffusion-dataset, 2023 | | 2023 |
| Defining High Risk Landslide Areas Using Machine Learning J Salvador, C Mejia-Escobar, M Bonifaz, O Gallardo Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence …, 2022 | | 2022 |
| Generación de mapas digitales en 2 y 3D como herramientas imprescindibles para el trabajo geológico y minero (Caso de estudio: India) CE Saltos García, VD Díaz Quishpe, BA Reyes Analuisa, ... | | 2022 |
Ester Martinez-Martin (ORCID:0000-0...Universidad de AlicanteVerified email at gcloud.ua.es
