Publicaciones (65) Publicaciones de INES JULIANA DEL CAMPO HAGELSTROM

2023

  1. Driving-Style Assessment from a Motion Sickness Perspective Based on Machine Learning Techniques

    Applied Sciences (Switzerland), Vol. 13, Núm. 3

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

    Journal of Systems Architecture, Vol. 139

2022

  1. An eco-driving approach for ride comfort improvement

    IET Intelligent Transport Systems, Vol. 16, Núm. 2, pp. 186-205

  2. Analysis of the Motion Sickness and the Lack of Comfort in Car Passengers

    Applied Sciences (Switzerland), Vol. 12, Núm. 8

  3. 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)

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

    IEEE Intelligent Vehicles Symposium, Proceedings

2020

  1. An intelligent system-on-a-chip for a real-time assessment of fuel consumption to promote eco-driving

    Applied Sciences (Switzerland), Vol. 10, Núm. 18

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. An FPGA-based neuro-fuzzy sensor for personalized driving assistance

    Sensors (Switzerland), Vol. 19, Núm. 18

  4. 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

2016

  1. A neuro-genetic approach for modeling and optimizing a complex cogeneration process

    Applied Soft Computing Journal, Vol. 48, pp. 347-358

  2. Design and Optimization of a Neural Network-based Driver Recognition System by means of a Multiobjective Genetic Algorithm

    2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  3. Design and optimization of a Neural Network-based driver recognition system by means of a multiobjective genetic algorithm

    Proceedings of the International Joint Conference on Neural Networks

  4. Driver identification and impostor detection based on driving behavior signals

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC