FRANCISCO JAVIER
ECHANOVE ARIAS
PROFESORADO TITULAR DE UNIVERSIDAD
INES JULIANA
DEL CAMPO HAGELSTROM
PROFESORADO CATEDRATICO/A DE UNIVERSIDAD
Publications dans lesquelles il/elle collabore avec INES JULIANA DEL CAMPO HAGELSTROM (47)
2023
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On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving
Journal of Systems Architecture, Vol. 139
2022
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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)
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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
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HSI-drive: A dataset for the research of hyperspectral image processing applied to autonomous driving systems
IEEE Intelligent Vehicles Symposium, Proceedings
2019
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A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles
Proceedings of the International Joint Conference on Neural Networks
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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
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Reduced Kernel Extreme Learning Machine for Traffic Sign Recognition
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
2018
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Deep Extreme Learning Machines with Auto Encoder for Speed Limit Signs Recognition
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Driving Style Recognition based on Ride Comfort Using a Hybrid Machine Learning Algorithm
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
2017
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Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification
Proceedings of the International Joint Conference on Neural Networks
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Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents
Proceedings of the International Joint Conference on Neural Networks
2016
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A neuro-genetic approach for modeling and optimizing a complex cogeneration process
Applied Soft Computing Journal, Vol. 48, pp. 347-358
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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)
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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
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Driver identification and impostor detection based on driving behavior signals
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
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Modeling and multi-objective optimization of a complex CHP process
Applied Energy, Vol. 161, pp. 309-319
2015
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A Divide-and-Conquer Strategie for FPGA Implementations of Large MLP-based Classifiers
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
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A divide-and-conquer strategie for FPGA implementations of large MLP-based classifiers
Proceedings of the International Joint Conference on Neural Networks
2014
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A Real-Time Driver Identification System based on Artificial Neural Networks and Cepstral Analysis
PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
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A fault tolerant single-chip intelligent agent with feature extraction capability
Applied Soft Computing Journal, Vol. 22, pp. 358-371