Publicaciones (70) Publicaciones de FRANCISCO JAVIER ECHANOVE ARIAS

2024

  1. Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective

    Journal of Systems Architecture, Vol. 154

2023

  1. HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving

    2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

  2. On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving

    Journal of Systems Architecture, Vol. 139

  3. Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving

    ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity

2022

  1. Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems

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

  2. Fast ion shuttling which is robust versus oscillatory perturbations

    Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, Vol. 380, Núm. 2239, pp. 20210269

  3. Implementable hybrid quantum ant colony optimization algorithm

    Quantum Machine Intelligence, Vol. 4, Núm. 2

  4. Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System

    IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Núm. 8, pp. 11946-11959

2021

  1. Eyes Detector Approach for Driving Monitoring System for Occluded Faces without using Facial Landmarks

    Proceedings - 2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing, ICCP 2021

  2. HSI-drive: A dataset for the research of hyperspectral image processing applied to autonomous driving systems

    IEEE Intelligent Vehicles Symposium, Proceedings

  3. Neural-network-based parameter estimation for quantum detection

    Quantum Science and Technology, Vol. 6, Núm. 4

2020

  1. Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection

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

  2. Driver Monitoring System Based on CNN Models: an Approach for Attention Level Detection

    Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings

2019

  1. A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles

    Proceedings of the International Joint Conference on Neural Networks

  2. A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines

    Neural Computing and Applications, Vol. 31, Núm. 12, pp. 8871-8886

  3. Reduced Kernel Extreme Learning Machine for Traffic Sign Recognition

    2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

2018

  1. Deep Extreme Learning Machines with Auto Encoder for Speed Limit Signs Recognition

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

  2. Driving Style Recognition based on Ride Comfort Using a Hybrid Machine Learning Algorithm

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

2017

  1. Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification

    Proceedings of the International Joint Conference on Neural Networks

  2. Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents

    Proceedings of the International Joint Conference on Neural Networks