Publicaciones (151) Publicaciones de DAVID ATIENZA ALONSO

2023

  1. A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

    Computer Methods and Programs in Biomedicine, Vol. 241

  2. Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems

    IEEE Transactions on Computers, Vol. 72, Núm. 9, pp. 2548-2560

  3. Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise

    IEEE Transactions on Biomedical Engineering, Vol. 70, Núm. 3, pp. 941-953

  4. An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

    IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 13, Núm. 2, pp. 489-501

  5. Event-based sampled ECG morphology reconstruction through self-similarity

    Computer Methods and Programs in Biomedicine, Vol. 240

  6. Personalized seizure signature: An interpretable approach to false alarm reduction for long-term epileptic seizure detection

    Epilepsia, Vol. 64, Núm. S4, pp. S23-S33

  7. X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller

    Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023

2022

  1. A Hardware/Software Co-Design Vision for Deep Learning at the Edge

    IEEE Micro, Vol. 42, Núm. 6, pp. 48-54

  2. Approximate zero-crossing: a new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection

    Journal of neural engineering, Vol. 19, Núm. 6

  3. Personalized Real-Time Federated Learning for Epileptic Seizure Detection

    IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 2, pp. 898-909

  4. Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers

    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 41, Núm. 12, pp. 5596-5609

  5. Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge

    Micromachines, Vol. 13, Núm. 7

2021

  1. E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness against Memory Errors in Edge-Computing Devices

    IEEE Transactions on Computers, Vol. 70, Núm. 8, pp. 1199-1212

  2. Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures

    IEEE Transactions on Computers, Vol. 70, Núm. 12, pp. 2218-2233

  3. Interpreting deep learning models for epileptic seizure detection on EEG signals

    Artificial Intelligence in Medicine, Vol. 117

  4. Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors

    IEEE Transactions on Emerging Topics in Computing, Vol. 9, Núm. 4, pp. 1654-1666

  5. The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

    Scientific Data

2020

  1. Analysis of functional errors produced by long-Term workload-dependent bti degradation in ultralow power processors

    IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 28, Núm. 10, pp. 2122-2133

  2. Event-triggered sensing for high-quality and low-power cardiovascular monitoring systems

    IEEE Design and Test, Vol. 37, Núm. 5, pp. 85-93

  3. Impact of memory voltage scaling on accuracy and resilience of deep learning based edge devices

    IEEE Design and Test, Vol. 37, Núm. 2, pp. 84-92