Publicaciones en colaboración con investigadores/as de Universidad Politécnica de Madrid (56)

2022

  1. Energy-aware task scheduling in data centers using an application signature

    Computers and Electrical Engineering, Vol. 97

  2. Neuropsychological Predictors of Fatigue in Post-COVID Syndrome

    Journal of Clinical Medicine, Vol. 11, Núm. 13

  3. Reproducible and accurate subject-wise sleep posture detection by detecting and removing turns

    2022 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2022

2021

  1. Cluster-then-classify methodology for the identification of pain episodes in chronic diseases

    IEEE Journal of Biomedical and Health Informatics

  2. Fast energy estimation framework for long-running applications

    Future Generation Computer Systems, Vol. 115, pp. 20-33

2019

  1. Cyber-physical systems design methodology for the prediction of symptomatic events in chronic diseases

    Complexity Challenges in Cyber Physical Systems: Using Modeling and Simulation (M&S) to Support Intelligence, Adaptation and Autonomy (wiley), pp. 223-253

  2. Predictive GPU-based ADAS management in energy-conscious smart cities

    5th IEEE International Smart Cities Conference, ISC2 2019

  3. SMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments

    IEEE Access, Vol. 7, pp. 92598-92614

  4. Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition

    IEEE Transactions on Mobile Computing, Vol. 18, Núm. 3, pp. 658-673

2018

  1. Advanced migraine prediction hardware system

    Simulation Series

  2. Fast Energy Estimation Through Partial Execution of HPC Applications

    Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors

  3. Heuristics and metaheuristics for dynamic management of computing and cooling energy in cloud data centers

    Software - Practice and Experience

  4. To what extent are patients with migraine able to predict attacks?

    Journal of Pain Research, Vol. 11, pp. 2083-2094