Publications (182) José Cristóbal Riquelme Santos publications

2024

  1. Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models

    Heliyon, Vol. 10, Núm. 4

  2. Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning

    Engineering Applications of Artificial Intelligence, Vol. 137

  3. An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market

    Heliyon, Vol. 10, Núm. 3

  4. Evolutionary Feature Selection for Time-Series Forecasting

    Proceedings of the ACM Symposium on Applied Computing

  5. Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Preface

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  7. Semi-real-time decision tree ensemble algorithms for very short-term solar irradiance forecasting

    International Journal of Electrical Power and Energy Systems, Vol. 158

  8. Técnicas Big Data para la predicción de la demanda y precio eléctrico

    Economía industrial, Núm. 431, pp. 119-130

2023

  1. 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)

  2. Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients

    Clinical and Translational Radiation Oncology, Vol. 41

  3. Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study

    Applied Intelligence, Vol. 53, Núm. 24, pp. 30691-30705

  4. Data streams classification using deep learning under different speeds and drifts

    Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 688-700

  5. Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons

    Frontiers in Surgery, Vol. 10

  6. Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia

    Lecture Notes in Networks and Systems

  7. Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level

    Applied Energy, Vol. 350

  8. Short-term solar irradiance forecasting in streaming with deep learning

    Neurocomputing, Vol. 546

  9. Simultaneous Evolutionary Optimization of Features Subset and Clusters Number

    GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion

2022

  1. 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)

  2. MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation

    Applied Sciences (Switzerland), Vol. 12, Núm. 8

  3. Object detection using depth completion and camera-LiDAR fusion for autonomous driving

    Integrated Computer-Aided Engineering, Vol. 29, Núm. 3, pp. 241-258