Publicacions en què col·labora amb MIGUEL ÁNGEL MARTÍNEZ PRIETO (10)

2024

  1. A deep learning-based approach for predicting in-flight estimated time of arrival

    Journal of Supercomputing, Vol. 80, Núm. 12, pp. 17212-17246

  2. Multi-route aircraft trajectory prediction using Temporal Fusion Transformers

    IEEE Access

  3. Towards aircraft trajectory prediction using LSTM networks

    Proceedings of the ACM Symposium on Applied Computing

2021

  1. On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions

    The 9th OpenSky Symposium

  2. On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions †

    Engineering Proceedings, Vol. 13, Núm. 1

2018

  1. AIRPORTS metrics: A big data application for computing flights' performance indexes based on flown trajectories

    AIAA/IEEE Digital Avionics Systems Conference - Proceedings

  2. AIRPORTS: Análisis de eficiencia operacional basado en trayectorias de vuelo

    Actas de las 23rd Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2018

  3. AIRPORTS: Análisis de eficiencia operacional basado en trayectorias de vuelo

    Actas de las 23rd Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2018

2017

  1. Integrating flight-related information into a (Big) data lake

    AIAA/IEEE Digital Avionics Systems Conference - Proceedings

  2. Towards a scalable architecture for flight data management

    DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applications