Deporte e Informática

2023

1. A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia

   Lecture Notes in Networks and Systems

2. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

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

3. A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal

   Proceedings of the ACM Symposium on Applied Computing

4. Comparative Analysis of the Prediction of the Academic Performance of Entering University Students Using Decision Tree and Random Forest

   Lecture Notes in Networks and Systems

5. Conocimiento específico de estudiantes universitarios sobre la realización de trabajos académicos en el Grado en Ciencias del Deporte: estudio piloto

   Proceedings 2nd international congress: education and knowledge

6. Data Fusion of RADAR and LIDAR for Robot Localization Under Low-Visibility Conditions in Structured Environments

   Lecture Notes in Networks and Systems

7. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

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

8. Electric Energy Charge Biclustering A Genetic Algorithms Approach

   Proceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon

9. Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning

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

10. Estimación de grupos conversacionales empleando cámaras 3D y aprendizaje automático para su aplicación a robótica social

    XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza

11. Evolutionary computation to explain deep learning models for time series forecasting

    Proceedings of the ACM Symposium on Applied Computing

12. Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python

    Lecture Notes in Networks and Systems

13. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem

    Lecture Notes in Networks and Systems

14. Explaining Learned Patterns in Deep Learning by Association Rules Mining

    Lecture Notes in Networks and Systems

15. Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting

    Lecture Notes in Networks and Systems

16. Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection

    Lecture Notes in Networks and Systems

17. Fraud Detection of Electricity Consumption Using Robust Exponential and Holt-Winters Smoothing Method

    Proceedings of the 2023 IEEE International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2023

18. HuNavSim: simulador de navegación humana para evaluación de navegación social

    XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza

19. Identification of Anomalies in Urban Sound Data with Autoencoders

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

20. Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment

    Lecture Notes in Networks and Systems