José Cristóbal
Riquelme Santos
Argitalpenak (235) Ikertzaileren baten partaidetza izan duten argitalpenak
2024
2023
-
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients
Clinical and Translational Radiation Oncology, Vol. 41
-
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
Applied Intelligence, Vol. 53, Núm. 24, pp. 30691-30705
-
Data streams classification using deep learning under different speeds and drifts
Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 688-700
-
Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons
Frontiers in Surgery, Vol. 10
-
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia
Lecture Notes in Networks and Systems
-
Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level
Applied Energy, Vol. 350
-
Short-term solar irradiance forecasting in streaming with deep learning
Neurocomputing, Vol. 546
-
Simultaneous Evolutionary Optimization of Features Subset and Clusters Number
GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion
2022
-
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation
Applied Sciences (Switzerland), Vol. 12, Núm. 8
-
Object detection using depth completion and camera-LiDAR fusion for autonomous driving
Integrated Computer-Aided Engineering, Vol. 29, Núm. 3, pp. 241-258
-
TEMPORAL AXIAL ATTENTION FOR LIDAR-BASED 3D OBJECT DETECTION IN AUTONOMOUS DRIVING
Proceedings - International Conference on Image Processing, ICIP
2021
-
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020
-
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets
Advances in Intelligent Systems and Computing
-
A data mining based clinical decision support system for survival in lung cancer
Reports of Practical Oncology and Radiotherapy, Vol. 26, Núm. 6, pp. 839-848
-
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
International Journal of Neural Systems, Vol. 31, Núm. 3
-
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
Neurocomputing, Vol. 449, pp. 229-244