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2020 – today
- 2023
- [j17]Jon Gutiérrez-Zaballa
, Koldo Basterretxea
On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving. J. Syst. Archit. 139: 102878 (2023) - 2022
- [j16]Javier Echanobe
Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System. IEEE Trans. Intell. Transp. Syst. 23(8): 11946-11959 (2022) - [c29]Jon Gutiérrez-Zaballa
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems. DASIP 2022: 136-148 - 2021
- [c28]Koldo Basterretxea, Victoria Martínez, Javier Echanobe, Jon Gutiérrez-Zaballa
HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems. IV 2021: 866-873
2010 – 2019
- 2019
- [j15]Inés del Campo
A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines. Neural Comput. Appl. 31(12): 8871-8886 (2019) - [j14]Óscar Mata-Carballeira
An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance. Sensors 19(18): 4011 (2019) - [c27]Óscar Mata-Carballeira
A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles. IJCNN 2019: 1-8 - [c26]E. Sanz-Madoz, Javier Echanobe, Óscar Mata-Carballeira
Reduced Kernel Extreme Learning Machine for Traffic Sign Recognition. ITSC 2019: 4101-4106 - 2018
- [c25]Óscar Mata-Carballeira
Deep Extreme Learning Machines with Auto Encoder for Speed Limit Signs Recognition. ITSC 2018: 965-972 - [c24]Inés del Campo, Estibaliz Asua, M. Victoria Martínez, Óscar Mata-Carballeira
Driving Style Recognition based on Ride Comfort Using a Hybrid Machine Learning Algorithm. ITSC 2018: 3251-3258 - 2017
- [c23]Inés del Campo, Victoria Martínez, Flavia Orosa, Javier Echanobe, Estibaliz Asua
Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents. IJCNN 2017: 3363-3370 - [c22]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
- [j13]Marlon Alexander Braun, S. Seijo, Javier Echanobe, Pradyumn Kumar Shukla
A neuro-genetic approach for modeling and optimizing a complex cogeneration process. Appl. Soft Comput. 48: 347-358 (2016) - [c21]Koldo Basterretxea, Unai Martinez-Corral
ELM-based hyperspectral imagery processor for onboard real-time classification. DASIP 2016: 43-50 - [c20]Javier Echanobe, Inés del Campo
Design and optimization of a Neural Network-based driver recognition system by means of a multiobjective genetic algorithm. IJCNN 2016: 3745-3750 - [c19]M. Javier Martínez, Javier Echanobe, Inés del Campo:
Driver identification and impostor detection based on driving behavior signals. ITSC 2016: 372-378 - 2015
- [c18]Javier Echanobe
A divide-and-conquer strategie for FPGA implementations of large MLP-based classifiers. IJCNN 2015: 1-7 - [c17]María Victoria Martínez, Inés del Campo
Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System. ITSC 2015: 2933-2940 - [c16]Inés del Campo
Controlled-Accuracy Approximation of Nonlinear Functions for Soft Computing Applications: A High Performance Co-proccessor for Intelligent Embedded Systems. SSCI 2015: 609-616 - 2014
- [j12]Koldo Basterretxea, María Victoria Martínez, Inés del Campo
A fault tolerant single-chip intelligent agent with feature extraction capability. Appl. Soft Comput. 22: 358-371 (2014) - [j11]Guillermo Bosque, Inés del Campo
Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades. Eng. Appl. Artif. Intell. 32: 283-331 (2014) - [j10]Javier Echanobe
An FPGA-based multiprocessor-architecture for intelligent environments. Microprocess. Microsystems 38(7): 730-740 (2014) - [c15]Koldo Basterretxea, Javier Echanobe
A wearable human activity recognition system on a chip. DASIP 2014: 1-8 - [c14]Raul Finker
An intelligent embedded system for real-time adaptive extreme learning machine. IES 2014: 61-69 - [c13]Inés del Campo
A real-time driver identification system based on artificial neural networks and cepstral analysis. IJCNN 2014: 1848-1855 - [c12]Javier Echanobe, Estibaliz Asua, Inés del Campo:
Integration of a Wireless Sensor-actuator Network and an FPGA for Intelligent Inhabited Environments. SENSORNETS 2014: 331-336 - 2013
- [c11]Koldo Basterretxea, Inés del Campo
Dynamic significant feature extraction for embedded intelligent agent implementations. CIDUE 2013: 39-46 - [c10]Raul Finker
Multilevel adaptive neural network architecture for implementing single-chip intelligent agents on FPGAs. IJCNN 2013: 1-9 - 2012
- [j9]Inés del Campo
A System-on-Chip Development of a Neuro-Fuzzy Embedded Agent for Ambient-Intelligence Environments. IEEE Trans. Syst. Man Cybern. Part B 42(2): 501-512 (2012) - [c9]Inés del Campo
A hardware/software embedded agent for real-time control of ambient-intelligence environments. FUZZ-IEEE 2012: 1-8 - [c8]Javier Echanobe
Dynamic Partial Reconfiguration in Embedded Systems for Intelligent Environments. Intelligent Environments 2012: 109-113 - 2011
- [j8]Inés del Campo
Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems. J. Circuits Syst. Comput. 20(3): 375-400 (2011) - 2010
- [c7]Maria Isabel de la Fuente, Javier Echanobe
Hardware Implementation of a Neural-Network Recognition Module for Visual Servoing in a Mobile Robot. DEXA Workshops 2010: 226-232 - [c6]Koldo Basterretxea, Inés del Campo
A semi-active suspension embedded controller in a FPGA. SIES 2010: 69-78 - [c5]Maria Isabel de la Fuente, Javier Echanobe
Development of an Embedded System for Visual Servoing in an Industrial Scenario. SIES 2010: 192-196
2000 – 2009
- 2009
- [c4]Javier Echanobe, Inés del Campo, Guillermo Bosque:
A Neuro-Fuzzy Embedded System for Intelligent Environments. IJCCI 2009: 559-564 - [p1]Koldo Basterretxea, Inés del Campo
Electronic Hardware for Fuzzy Computation. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 1-30 - 2008
- [j7]Javier Echanobe
An adaptive neuro-fuzzy system for efficient implementations. Inf. Sci. 178(9): 2150-2162 (2008) - [j6]Inés del Campo
Efficient Hardware/Software Implementation of an Adaptive Neuro-Fuzzy System. IEEE Trans. Fuzzy Syst. 16(3): 761-778 (2008) - [c3]Guillermo Bosque, Javier Echanobe, Inés del Campo
Modeling and Synthesis of Computational Efficient Adaptive Neuro-Fuzzy Systems Based on Matlab. ICANN (2) 2008: 131-140 - 2007
- [j5]Koldo Basterretxea, José Manuel Tarela
An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design. IEEE Trans. Neural Networks 18(1): 266-283 (2007) - [c2]Pablo Echevarria
Digital Hardware Implementation of High Dimensional Fuzzy Systems. WILF 2007: 245-252 - 2005
- [j4]Javier Echanobe
Issues concerning the analysis and implementation of a class of fuzzy controllers. Fuzzy Sets Syst. 155(2): 252-271 (2005)
1990 – 1999
- 1999
- [j3]Inés del Campo
Consequences of the digitization on the performance of a fuzzy logic controller. IEEE Trans. Fuzzy Syst. 7(1): 85-92 (1999) - 1998
- [j2]Inés del Campo
Implementation of Intelligent Controllers on Digital Signal Processors. Cybern. Syst. 29(3): 283-301 (1998) - 1995
- [c1]Inés del Campo
A CAD tool to implement real-time fuzzy controllers on DSPs. RTS 1995: 323-327 - 1993
- [j1]Inés del Campo
Development of a fuzzy logic controller on a digital signal processor. Microprocess. Microprogramming 39(2-5): 277-280 (1993)
Coauthor Index
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