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Journal Articles
- 2023
[j6]Jon Gutiérrez-Zaballa
, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, Inés del Campo:
On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving. J. Syst. Archit. 139: 102878 (2023)- 2022
- [j5]Javier Echanobe, Koldo Basterretxea, Inés del Campo, Victoria Martínez, Naiara Vidal:
Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System. IEEE Trans. Intell. Transp. Syst. 23(8): 11946-11959 (2022) - 2019
- [j4]Inés del Campo, Victoria Martínez, Javier Echanobe, Estibaliz Asua, Raul Finker, Koldo Basterretxea:
A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines. Neural Comput. Appl. 31(12): 8871-8886 (2019) - [j3]Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa, Inés del Campo, Victoria Martínez:
An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance. Sensors 19(18): 4011 (2019) - 2014
- [j2]Koldo Basterretxea, María Victoria Martínez, Inés del Campo, Javier Echanobe:
A fault tolerant single-chip intelligent agent with feature extraction capability. Appl. Soft Comput. 22: 358-371 (2014) - [j1]Javier Echanobe, Inés del Campo, Koldo Basterretxea, M. Victoria Martínez, Faiyaz Doctor:
An FPGA-based multiprocessor-architecture for intelligent environments. Microprocess. Microsystems 38(7): 730-740 (2014)
Conference and Workshop Papers
- 2023
- [c17]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, Óscar Mata-Carballeira, M. Victoria Martínez:
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving. ICECS 2023: 1-6 - [c16]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral:
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving. SSCI 2023: 207-214 - 2022
- [c15]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Inés del Campo:
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems. DASIP 2022: 136-148 - 2021
- [c14]Koldo Basterretxea, Victoria Martínez, Javier Echanobe, Jon Gutiérrez-Zaballa, Inés del Campo:
HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems. IV 2021: 866-873 - 2019
- [c13]Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe:
A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles. IJCNN 2019: 1-8 - [c12]E. Sanz-Madoz, Javier Echanobe, Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez:
Reduced Kernel Extreme Learning Machine for Traffic Sign Recognition. ITSC 2019: 4101-4106 - 2018
- [c11]Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe:
Deep Extreme Learning Machines with Auto Encoder for Speed Limit Signs Recognition. ITSC 2018: 965-972 - [c10]Inés del Campo, Estibaliz Asua, M. Victoria Martínez, Óscar Mata-Carballeira, Javier Echanobe:
Driving Style Recognition based on Ride Comfort Using a Hybrid Machine Learning Algorithm. ITSC 2018: 3251-3258 - 2017
- [c9]Inés del Campo, Victoria Martínez, Flavia Orosa, Javier Echanobe, Estibaliz Asua, Koldo Basterretxea:
Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents. IJCNN 2017: 3363-3370 - [c8]Javier Echanobe, Inés del Campo, M. Victoria Martínez, Koldo Basterretxea:
Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification. IJCNN 2017: 4202-4207 - 2016
- [c7]Javier Echanobe, Inés del Campo, M. Victoria Martínez:
Design and optimization of a Neural Network-based driver recognition system by means of a multiobjective genetic algorithm. IJCNN 2016: 3745-3750 - 2015
- [c6]María Victoria Martínez, Inés del Campo, Javier Echanobe, Koldo Basterretxea:
Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System. ITSC 2015: 2933-2940 - 2014
- [c5]Raul Finker, Inés del Campo, Javier Echanobe, M. Victoria Martínez:
An intelligent embedded system for real-time adaptive extreme learning machine. IES 2014: 61-69 - [c4]Inés del Campo, Raul Finker, M. Victoria Martínez, Javier Echanobe, Faiyaz Doctor:
A real-time driver identification system based on artificial neural networks and cepstral analysis. IJCNN 2014: 1848-1855 - 2013
- [c3]Koldo Basterretxea, Inés del Campo, M. Victoria Martínez, Javier Echanobe:
Dynamic significant feature extraction for embedded intelligent agent implementations. CIDUE 2013: 39-46 - 2012
- [c2]Inés del Campo, M. Victoria Martínez, Javier Echanobe, Koldo Basterretxea, Faiyaz Doctor:
A hardware/software embedded agent for real-time control of ambient-intelligence environments. FUZZ-IEEE 2012: 1-8 - 2007
- [c1]Pablo Echevarria, M. Victoria Martínez, Javier Echanobe, Inés del Campo, José Manuel Tarela:
Digital Hardware Implementation of High Dimensional Fuzzy Systems. WILF 2007: 245-252
Coauthor Index
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