Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System
- Autoría:
- J. Echanobe; K. Basterretxea; I. del Campo; V. Martínez; N. Vidal
- Año:
- 2022
- Revista:
- IEEE Transactions on Intelligent Transportation Systems
- Volumen:
- 23 (8)
- Página de inicio - Página de fin:
- 11946 - 11959
- ISBN/ISSN:
- 1524-9050
- DOI:
- 10.1109/TITS.2021.3108851
An eco-driving approach for ride comfort improvement
- Autoría:
- O. Mata-Carballeira, I. del Campo, E. Asua
- Año:
- 2022
- Revista:
- IET INTELLIGENT TRANSPORT SYSTEMS
- Volumen:
- 16(2)
- Página de inicio - Página de fin:
- 186 - 205
-
J Gutiérrez-Zaballa, K Basterretxea, J Echanobe
Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective
Journal of Systems Architecture,
2024;
154
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Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, and Inés del Campo
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving
JOURNAL OF SYSTEM ARCHITECTURE.,
2023;
To be published
-
O. Mata-Carballeira, I. del Campo, E. Asua
An eco-driving approach for ride comfort improvement
IET INTELLIGENT TRANSPORT SYSTEMS,
2022;
16(2),
186 - 205
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E. Asua, J. Gutierrez-Zaballa, O. Mata-Carballeira, J.A. Ruiz, I. del Campo
Analysis of the Motion Sickness and the Lack of Comfort in Car Passengers
APPLIED SCIENCES-BASEL,
2022;
12(8)
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J. Echanobe; K. Basterretxea; I. del Campo; V. Martínez; N. Vidal
Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System
IEEE Transactions on Intelligent Transportation Systems,
2022;
23 (8),
11946 - 11959 -
1524-9050
-
Óscar Mata-Carballeira, Mikel Díaz-Rodríguez, Inés del Campo, Victoria Martínez
An Intelligent System-on-a-Chip for a Real-Time Assessment of Fuel Consumption to Promote Eco-Driving
Applied Sciences IF: 2,474 (Q2),
2020;
10(18)
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Inés del Campo, Victoria Martínez, Javier Echanobe, Estibalitz Asua, Raúl Finker, Koldo Basterretxea
A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines
Neural Computing & Applications,
2019
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Óscar Mata-Carballeira, Jon Gutiérrez-Zaballa, Inés del Campo, Victoria Martínez
An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance
Sensors IF: 3,031 (Q1),
2019;
19(18)
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M.A. Braun, S. Seijo, J. Echanobe, P.K. Shukla, I. del Campo, J. Garcia-Sedano, H. Schmeck
A neuro-genetic approach for modeling and optimizing a complex cogeneration process
Applied Soft Computing,
2017;
48,
347 - 358
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S. Seijo; I. del Campo; J. Echanobe; J. García-Sedano
Modeling and multi-objective optimization of a complex CHP Process
Applied Energy,
2016;
161,
309 - 319
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K. Basterretxea, I. del Campo, M.V. Martínez, and J. Echanobe.
A fault Tolerant Single-chip Intelligent Agent with Feature Extraction Capability
Applied Soft Computing (Elsevier),
2014;
22,
358 - 371
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J. Echanobe; I. del Campo; K. Basterretxea; M.V. Martínez; F. Doctor
An FPGA-based multiprocessor-architecture for intelligent environments
Microprocessors and Microsystems,
2014;
38,
730 - 740
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Sandra Seijo Fernández, I. del Campo, J. Echanobe, J. García-Sedano, E. Suso, E. Arbizu
Computational Intelligence Techniques for maximum energy efficiency of an internal combuestion engine and a steam turbine of a cogeneration process
International Journal of Energy Environment Engineering,
2014;
5 (2), 121,
1 - 10
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G Bosque; I. del Campo; J. Echanobe
Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades
Engineering Applications of Artificial Intelligence,
2014;
32,
283 - 331
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G. Bosque; I. del Campo; J. Echanobe
Modelizing a non-linear system: a computational efficient adaptive neuro-fuzzy system tool based on matlab
Journal of Advanced Computer Science and Technology,
2014;
3,
61 - 89
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I. del Campo, R. Finker, J. Echanobe, and K. Basterretxea
Controlled accuracy approximation of the sigmoid function for efficient FPGA-based implementation of artificial neurons
Electronics Letters,
2013;
49,
1598 - 1600
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I. del Campo, K. Basterretxea, J. Echanobe, G. Bosque, F. Doctor
A System-on-Chip Development of a Neuro-Fuzzy Embedded Agent for Ambient-Intelligence Environments
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,
2012;
42,
501 - 512
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I. del Campo, J. Echanobe, K. Basterretxea, G. Bosque
Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS,
2011;
20, no.3,
375 - 400
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K. Basterretxea, and I. del Campo
Electronic Hardware for Fuzzy Computation
Electronic Hardware for Fuzzy Computation. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, A. Laurent, M-J Lesot, eds. IGI Global , USA,
2009
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J. Echanobe, I. del Campo, G. Bosque
An adaptive neuro-fuzzy system for efficient implementations
INFORMATION SCIENCES,
2008;
178 no. 9,
2150 - 2162
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P. Echevarría, M.V. Martínez, J. Echanobe, I. del Campo, and J.M. Tarela
Digital hardware implementation of high dimensional fuzzy systems. Applications of Fuzzy Sets Theory, Lecture Notes in Computer Science
Springer, Berlín / Heidelberg,
2008;
4578
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I. del Campo, J. Echanobe, G. Bosque, J. M. Tarela
Efficient hardware/software implementation of an adaptive neuro-fuzzy system
IEEE TRANSACTIONS ON FUZZY SYSTEMS,
2008;
16 no. 3,
761 - 778
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G. Bosque, J. Echanobe, I. del Campo, J.M. Tarela
Modelling and Synthesis of Computational efficient adaptive neuro-fuzzy systems based on Matlab. Lecture Notes in Computer Science, Kurkova, V, Neruda, R, Koutnik
J. Eds. Springer, Berlin-Heidelberg,
2008
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K. Basterretxea, J. M. Tarela, I. del Campo, G. Bosque
An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design
IEEE TRANSACTIONS ON NEURAL NETWORKS,
2007;
18,
266 - 283
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K. Basterretxea, J. M. Tarela, I. del Campo
Digital gaussian membership function circuit for neuro-fuzzy hardware
ELECTRONIC LETTERS,
2006;
42,
44 - 46
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J. Echanobe, I. del Campo, J. M. Tarela
Issues concerning the analysis and implementation of a class of fuzzy controllers
FUZZY SETS AND SYSTEMS,
2005;
155 no. 2,
252 - 271
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K. Basterretxea, J. M. Tarela, I. del Campo
Approximation of Sigmoid Function and the Derivative for Hardware Implementation of Artificial Neuron
IEE- DEVICES, CIRCUITS AND SYSTEMS,
2004;
151, no. 1,
18 - 24
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J. R. Garitagoitia, J. R. Glez. de Mendívil, J. Echanobe, J. J. Astrain, F. Fariña
Deformed Fuzzy Automata for Correcting Imperfect Strings of Fuzzy Symbols
IEEE TRANSACTIONS ON FUZZY SYSTEMS,
2003;
11 no. 3,
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I. del Campo, J. Echanobe, and J.M. Tarela
Design and Synthesis of Piecewise-linear Fuzzy Systems
Applications and Science in Soft Computing. Springer, London (UK),
2003;
24,
111 - 118
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K. Basterretxea, J.M. Tarela, and I. del Campo
Gaussian Function Approximation in Neuro-Fuzzy Systems
Systems. Applications and Science in Soft Computing. Springer, London (UK),
2003;
24,
163 - 170
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K. Basterretxea, J. M. Tarela, I. del Campo
Digital Design of Sigmoid Approximators for Artificial Neural Networks
ELECTRONIC LETTERS,
2002;
38,
35 - 37
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J. M. Tarela, K. Basterretxea, I. del Campo, M.V. Martínez, E. Alonso
Optimised PWL Recursive Approximation ans its Application to Neuro-fuzzy Systems
MATHEMATICAL AND COMPUTER MODELLING,
2002;
35,
867 - 883
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K. Basterretxea, J.M. Tarela, and I. del Campo
Approximation of Sigmoid Function and the Derivative for Artificial Neurons, in "Advances in Neural Networks and Applications
World Scientific. USA,
2001;
960-8052-26-2
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I. del Campo, J.M. Tarela, and K. Basterretxea
Quantization Errors in Digital Implementations of Fuzzy Controllers
Digital Controller Implementation Ans Fragility: A Modern Perspective, Springer Verlag. London,
2001;
1-85233-390-1
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I. del Campo, J.M. Tarela
Consequences of the Digitization on the Performance of a Fuzzy Logic Controller
IEEE TRANSACTIONS ON FUZZY SYSTEMS,
1999;
7,
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K. Basterretxea, E. Alonso, J.M. Tarela, and I. del Campo
PWL Approximation of Non-linear Functions for the Implementation of Neuro-Fuzzy Systems, in "Computational Intelligence and Applications"
World Scientific. USA,
1999;
960-8052-05-X
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I. del Campo, R. Callao, and J. M. Tarela
Automatic Implementation of Different Inference Architectures for Fuzzy Control on PLDs
COMPUTERS AND ELECTRICAL ENGINEERING,
1998;
24,
113 - 121
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J. Echanobe, J.R. Glez. de Mendívil, J. R. Garitagoitia, C. Alastruey
Deformed Systems for Contextual Postproccesing
FUZZY SETS AND SYSTEMS,
1998;
96,
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I. del Campo, J. Echanobe, J. M. Tarela
Implementation of intelligent controllers on digital signal processors
CYBERNETICS AND SYSTEMS,
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J. Echanobe, J.R. G. de Mendivil, J.R. Garitagoitia
A text recognition system based on a Neural Network and on a Deformed System. From Natural to Artificial Neural Computation, Lecture Notes in Computer Science. Mira, J, Sandoval, F
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1995
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Development of a Fuzzy Logic Controller on a Digital Signal Processor
MICROPROCESSING AND MICROPROGRAMMING,
1993;
39,
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J.M. Tarela, E. Alonso, R. Lezcano, I. del Campo, J.R. Garitagoitia, and J.R. González de Mendívil
Diseño Digital de una Neurona para Síntesis de Funciones no Lineales
Homenaje a Vicente Aleixandre. Universidad de Valladolid,
1993;
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J.R. Garitagoitia, I. del Campo, J.M. Tarela, and E. Alonso
Aplicación de la Lógica Borrosa al Control de Procesos
Nuevas Tendencias en Inteligencia Artificial. Universidad de Deusto,
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Driving style assessment from the motion sickness perspective based on machine learning techniques
Applied Sciences (Q2),
2023;
13
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M. Szántó, C. Hidalgo, L. González, J. P. Rastelli, E. Asua and L. Vajta
Trajectory Planning of Automated Vehicles Using Real-Time Map Updates
IEEE Access (Q2),
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Jon Gutiérrez-Zaballa, Koldo Basterretxea, and Javier Echanobe
Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective
Journal of Systems Architecture,
2024;
154,
1383-7621
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I. del Campo, M.V. Martínez, J. Echanobe, E. Asua, R. Finker, and K. Basterretxea
A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines
Neural Computing & Applications,
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