Javier Echanobe

63 papers B 10C 3Misc 1Journal 28Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case.
CoRR
Koldo Basterretxea, Jon Gutiérrez-Zaballa, Javier Echanobe
2025 J jnl
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2025 J jnl
Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2025 J jnl
Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach.
ACM Trans. Embed. Comput. Syst.
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2025 J jnl
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2024 — conf
Designing DNNs for a trade-off between robustness and processing performance in embedded devices
DCIS
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2024 J jnl
Designing DNNs for a trade-off between robustness and processing performance in embedded devices.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2024 J jnl
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2024 J jnl
Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective.
J. Syst. Archit.
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2024 J jnl
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Inés del Campo
2024 J jnl
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral
2024 J jnl
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, Inés del Campo
2024 J jnl
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving.
CoRR
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, Óscar Mata-Carballeira, M. Victoria Martínez
2024 — conf
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving.
WHISPERS
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe
2023 — conf
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving.
SSCI
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral
2023 J jnl
On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving.
J. Syst. Archit.
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martinez-Corral, Óscar Mata-Carballeira, Inés del Campo
2023 — conf
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving.
ICECS
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, Óscar Mata-Carballeira, M. Victoria Martínez
2022 — conf
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems.
DASIP
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Inés del Campo
2022 J jnl
Implementable hybrid quantum ant colony optimization algorithm.
Quantum Mach. Intell.
Mikel Garcia de Andoin, Javier Echanobe
2022 J jnl
Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System.
IEEE Trans. Intell. Transp. Syst.
Javier Echanobe, Koldo Basterretxea, Inés del Campo, Victoria Martínez, Naiara Vidal
2021 B conf
Eyes Detector Approach for Driving Monitoring System for Occluded Faces without using Facial Landmarks.
ICCP
Myriam Elizabeth Vaca Recalde, Pedro López-García, Javier Echanobe, Joshué Pérez
2021 C conf
HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems.
IV
Koldo Basterretxea, Victoria Martínez, Javier Echanobe, Jon Gutiérrez-Zaballa, Inés del Campo
2020 — conf
Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection.
IDEAL (2)
Myriam Elizabeth Vaca Recalde, Joshué Pérez, Javier Echanobe
2019 B conf
A Hardware/Software Extreme Learning Machine Solution for Improved Ride Comfort in Automobiles.
IJCNN
Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe
2019 J jnl
A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines.
Neural Comput. Appl.
Inés del Campo, Victoria Martínez, Javier Echanobe, Estibaliz Asua, Raul Finker, Koldo Basterretxea
2019 — conf
Reduced Kernel Extreme Learning Machine for Traffic Sign Recognition.
ITSC
E. Sanz-Madoz, Javier Echanobe, Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez
2018 — conf
Deep Extreme Learning Machines with Auto Encoder for Speed Limit Signs Recognition.
ITSC
Óscar Mata-Carballeira, Inés del Campo, M. Victoria Martínez, Javier Echanobe
2018 — conf
Driving Style Recognition based on Ride Comfort Using a Hybrid Machine Learning Algorithm.
ITSC
Inés del Campo, Estibaliz Asua, M. Victoria Martínez, Óscar Mata-Carballeira, Javier Echanobe
2017 B conf
Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification.
IJCNN
Javier Echanobe, Inés del Campo, M. Victoria Martínez, Koldo Basterretxea
2017 B conf
Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents.
IJCNN
Inés del Campo, Victoria Martínez, Flavia Orosa, Javier Echanobe, Estibaliz Asua, Koldo Basterretxea
2016 J jnl
A neuro-genetic approach for modeling and optimizing a complex cogeneration process.
Appl. Soft Comput.
Marlon Alexander Braun, Sandra Seijo, Javier Echanobe, Pradyumn Kumar Shukla, Inés del Campo, Javier A. García-Sedano, Hartmut Schmeck
2016 B conf
Design and optimization of a Neural Network-based driver recognition system by means of a multiobjective genetic algorithm.
IJCNN
Javier Echanobe, Inés del Campo, M. Victoria Martínez
2016 — conf
Driver identification and impostor detection based on driving behavior signals.
ITSC
M. Javier Martínez, Javier Echanobe, Inés del Campo
2015 B conf
A divide-and-conquer strategie for FPGA implementations of large MLP-based classifiers.
IJCNN
Javier Echanobe, Raul Finker, Inés del Campo
2015 — conf
Controlled-Accuracy Approximation of Nonlinear Functions for Soft Computing Applications: A High Performance Co-proccessor for Intelligent Embedded Systems.
SSCI
Inés del Campo, Javier Echanobe, Estibaliz Asua, Raul Finker
2015 — conf
Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System.
ITSC
María Victoria Martínez, Inés del Campo, Javier Echanobe, Koldo Basterretxea
2014 J jnl
A fault tolerant single-chip intelligent agent with feature extraction capability.
Appl. Soft Comput.
Koldo Basterretxea, María Victoria Martínez, Inés del Campo, Javier Echanobe
2014 B conf
A real-time driver identification system based on artificial neural networks and cepstral analysis.
IJCNN
Inés del Campo, Raul Finker, M. Victoria Martínez, Javier Echanobe, Faiyaz Doctor
2014 — conf
A wearable human activity recognition system on a chip.
DASIP
Koldo Basterretxea, Javier Echanobe, Inés del Campo
2014 J jnl
An FPGA-based multiprocessor-architecture for intelligent environments.
Microprocess. Microsystems
Javier Echanobe, Inés del Campo, Koldo Basterretxea, M. Victoria Martínez, Faiyaz Doctor
2014 C conf
An intelligent embedded system for real-time adaptive extreme learning machine.
IES
Raul Finker, Inés del Campo, Javier Echanobe, M. Victoria Martínez
2014 J jnl
Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades.
Eng. Appl. Artif. Intell.
Guillermo Bosque, Inés del Campo, Javier Echanobe
2014 — conf
Integration of a Wireless Sensor-actuator Network and an FPGA for Intelligent Inhabited Environments.
SENSORNETS
Javier Echanobe, Estibaliz Asua, Inés del Campo
2013 — conf
Dynamic significant feature extraction for embedded intelligent agent implementations.
CIDUE
Koldo Basterretxea, Inés del Campo, M. Victoria Martínez, Javier Echanobe
2013 B conf
Multilevel adaptive neural network architecture for implementing single-chip intelligent agents on FPGAs.
IJCNN
Raul Finker, Inés del Campo, Javier Echanobe, Faiyaz Doctor
2012 J jnl
A System-on-Chip Development of a Neuro-Fuzzy Embedded Agent for Ambient-Intelligence Environments.
IEEE Trans. Syst. Man Cybern. Part B
Inés del Campo, Koldo Basterretxea, Javier Echanobe, Guillermo Bosque, Faiyaz Doctor
2012 B conf
A hardware/software embedded agent for real-time control of ambient-intelligence environments.
FUZZ-IEEE
Inés del Campo, M. Victoria Martínez, Javier Echanobe, Koldo Basterretxea, Faiyaz Doctor
2012 B conf
Dynamic Partial Reconfiguration in Embedded Systems for Intelligent Environments.
Intelligent Environments
Javier Echanobe, Inés del Campo, Raul Finker, Koldo Basterretxea
2011 J jnl
Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems.
J. Circuits Syst. Comput.
Inés del Campo, Javier Echanobe, Koldo Basterretxea, Guillermo Bosque
2010 — conf
A semi-active suspension embedded controller in a FPGA.
SIES
Koldo Basterretxea, Inés del Campo, Javier Echanobe
2010 — conf
Development of an Embedded System for Visual Servoing in an Industrial Scenario.
SIES
Maria Isabel de la Fuente, Javier Echanobe, Inés del Campo, Loreto Susperregui, Iñaki Maurtua
2010 — conf
Hardware Implementation of a Neural-Network Recognition Module for Visual Servoing in a Mobile Robot.
DEXA Workshops
Maria Isabel de la Fuente, Javier Echanobe, Inés del Campo, Loreto Susperregui, Iñaki Maurtua
2009 C conf
A Neuro-Fuzzy Embedded System for Intelligent Environments.
IJCCI
Javier Echanobe, Inés del Campo, Guillermo Bosque
2008 J jnl
An adaptive neuro-fuzzy system for efficient implementations.
Inf. Sci.
Javier Echanobe, Inés del Campo, Guillermo Bosque
2008 J jnl
Efficient Hardware/Software Implementation of an Adaptive Neuro-Fuzzy System.
IEEE Trans. Fuzzy Syst.
Inés del Campo, Javier Echanobe, Guillermo Bosque, José Manuel Tarela
2008 — conf
Modeling and Synthesis of Computational Efficient Adaptive Neuro-Fuzzy Systems Based on Matlab.
ICANN (2)
Guillermo Bosque, Javier Echanobe, Inés del Campo, José Manuel Tarela
2007 — conf
Digital Hardware Implementation of High Dimensional Fuzzy Systems.
WILF
Pablo Echevarria, M. Victoria Martínez, Javier Echanobe, Inés del Campo, José Manuel Tarela
2005 J jnl
Issues concerning the analysis and implementation of a class of fuzzy controllers.
Fuzzy Sets Syst.
Javier Echanobe, Inés del Campo, José Manuel Tarela
2003 J jnl
Deformed fuzzy automata for correcting imperfect strings of fuzzy symbols.
IEEE Trans. Fuzzy Syst.
José Ramón Garitagoitia, José Ramón González de Mendívil, Javier Echanobe, José Javier Astrain, Federico Fariña
1999 — conf
Deformed fuzzy automata for the text error correction problem.
EUSFLAT-ESTYLF Joint Conf.
Javier Echanobe, José Ramón Garitagoitia, José Ramón González de Mendívil
1998 J jnl
Deformed systems for contextual postprocessing.
Fuzzy Sets Syst.
Javier Echanobe, José Ramón González de Mendívil, José Ramón Garitagoitia, Carlos F. Alastruey
1998 J jnl
Implementation of Intelligent Controllers on Digital Signal Processors.
Cybern. Syst.
Inés del Campo, Javier Echanobe, José Manuel Tarela
1995 Misc conf
A Text Recognition System Based on a Neural Network and on a Deformed System.
IWANN
Javier Echanobe, José Ramón González de Mendívil, José Ramón Garitagoitia