Argitalpenak (35) PEDRO CESAR ALVAREZ ESTEBAN argitalpenak

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

2022

  1. Robust clustering of functional directional data

    Advances in Data Analysis and Classification, Vol. 16, Núm. 1, pp. 181-199

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

  3. Predicting COVID-19 progression from diagnosis to recovery or death linking primary care and hospital records in Castilla y León (Spain)

    PLoS ONE, Vol. 16, Núm. 9 September

2019

  1. An Algorithm to Determine Airport Runway Usage/Configuration Based on Aircraft Trajectories

    AIAA/IEEE Digital Avionics Systems Conference - Proceedings

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

  4. Wide consensus aggregation in the Wasserstein space. Application to location-scatter families

    Bernoulli, Vol. 24, Núm. 4A, pp. 2429-2460

2017

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

    AIAA/IEEE Digital Avionics Systems Conference - Proceedings

  2. Models for the assessment of treatment improvement: The ideal and the feasible

    Statistical Science, Vol. 32, Núm. 3, pp. 469-485

  3. Towards a scalable architecture for flight data management

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

2016

  1. A contamination model for the stochastic order

    Test, Vol. 25, Núm. 4, pp. 751-774

  2. A fixed-point approach to barycenters in Wasserstein space

    Journal of Mathematical Analysis and Applications, Vol. 441, Núm. 2, pp. 744-762

  3. Statistical analysis of stationary intervals for random waves

    Proceedings of the International Offshore and Polar Engineering Conference

  4. Time series clustering using the total variation distance with applications in oceanography

    Environmetrics, Vol. 27, Núm. 6, pp. 355-369

2015

  1. A feasible approach for a statistical assessment of approximate stochastic order relation

    XXXV Congreso Nacional SEIO: IX Jornadas de Estadística Pública : Universidad Pública de Navarra, Pamplona, del 26 al 29 de mayo de 2015