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Koldo Basterretxea
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2020 – today
- 2024
- [j10]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective. J. Syst. Archit. 154: 103242 (2024) - [c27]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Designing DNNs for a trade-off between robustness and processing performance in embedded devices*. DCIS 2024: 1-6 - [c26]Unai Sainz-Estebanez, Unai Martinez-Corral, Koldo Basterretxea:
Hardware coprocessor integration with NEORV32: characterization for efficient implementation of RISC-V-based AI SoCs. DCIS 2024: 1-6 - [i6]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. CoRR abs/2411.17530 (2024) - [i5]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. CoRR abs/2411.17543 (2024) - [i4]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. CoRR abs/2411.19274 (2024) - [i3]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective. CoRR abs/2412.03630 (2024) - [i2]Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Designing DNNs for a trade-off between robustness and processing performance in embedded devices. CoRR abs/2412.03682 (2024) - [i1]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. CoRR abs/2412.03982 (2024) - 2023
- [j9]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) - [c25]Xabier Iturbe, Xabier Alberdi, Ander Aramburu, Armando Astarloa, Iñigo Barandiaran, Koldo Basterretxea, Angélica Dávila, Asier Erramuzpe, Iñigo Gabilondo, Garikoitz Lerma-Usabiaga, Lisandro Gabriel Monsalve, Libe Mori, Javier Navaridas, Jose Antonio Pascual, Joaquin Piriz, Serafim Rodrigues, Oscar Seijo, Ander Soraluze, Edgar Soria, Ignacio Torres, Nerea Uriarte, Juan Luis Valerdi:
SiliconBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country. SEAA 2023: 426-431 - [c24]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 - [c23]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
- [j8]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) - [c22]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
- [c21]Aitor del Rio Ruiz, Koldo Basterretxea:
Robust embedded MPC with reduced-precision arithmetic for cost-optimized implementations. IECON 2021: 1-7 - [c20]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 - 2020
- [c19]Aitor del Rio Ruiz, Koldo Basterretxea:
Towards the Development of a CAD Tool for the Implementation of High-Speed Embedded MPCs on FPGAs. ECC 2020: 941-947 - [c18]Unai Martinez-Corral, Guillermo Callaghan, Konstantinos Iordanou, Cosmin Gorgovan, Koldo Basterretxea, Mikel Luján:
DBHI: A Tool for Decoupled Functional Hardware-Software Co-Design on SoCs. FPGA 2020: 326
2010 – 2019
- 2019
- [j7]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) - [c17]Aitor del Rio Ruiz, Koldo Basterretxea:
Towards the Automatic Implementation of Reduced-size and High Throughput MPC on FPGAs. CoDIT 2019: 1768-1773 - 2017
- [c16]Unai Martinez-Corral, Koldo Basterretxea:
A fully configurable and scalable neural coprocessor IP for SoC implementations of machine learning applications. AHS 2017: 125-132 - [c15]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 - [c14]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
- [c13]Koldo Basterretxea, Unai Martinez-Corral, Raul Finker, Inés del Campo:
ELM-based hyperspectral imagery processor for onboard real-time classification. DASIP 2016: 43-50 - 2015
- [c12]Gorka Marques, Koldo Basterretxea:
Efficient Algorithms for Accelerometer-Based Wearable Hand Gesture Recognition Systems. EUC 2015: 132-139 - [c11]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
- [j6]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) - [j5]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) - [c10]Iñaki Bildosola, Unai Martinez-Corral, Koldo Basterretxea:
Adaptive scalable SVD unit for fast processing of large LSE problems. ASAP 2014: 17-24 - [c9]Koldo Basterretxea, Javier Echanobe, Inés del Campo:
A wearable human activity recognition system on a chip. DASIP 2014: 1-8 - [c8]Unai Martinez-Corral, Koldo Basterretxea, Raul Finker:
Scalable parallel architecture for singular value decomposition of large matrices. FPL 2014: 1-4 - 2013
- [c7]Koldo Basterretxea, Inés del Campo, M. Victoria Martínez, Javier Echanobe:
Dynamic significant feature extraction for embedded intelligent agent implementations. CIDUE 2013: 39-46 - 2012
- [j4]Unai Ugalde, Rafael Bárcena, Koldo Basterretxea:
Generalized sampled-data hold functions with asymptotic zero-order hold behavior and polynomic reconstruction. Autom. 48(6): 1171-1176 (2012) - [j3]Inés del Campo, Koldo Basterretxea, Javier Echanobe, Guillermo Bosque, Faiyaz Doctor:
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) - [c6]Koldo Basterretxea:
Recursive sigmoidal neurons for adaptive accuracy neural network implementations. AHS 2012: 152-158 - [c5]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 - [c4]Javier Echanobe, Inés del Campo, Raul Finker, Koldo Basterretxea:
Dynamic Partial Reconfiguration in Embedded Systems for Intelligent Environments. Intelligent Environments 2012: 109-113 - 2011
- [j2]Inés del Campo, Javier Echanobe, Koldo Basterretxea, Guillermo Bosque:
Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems. J. Circuits Syst. Comput. 20(3): 375-400 (2011) - [c3]Koldo Basterretxea, Khaled Benkrid:
Embedded high-speed Model Predictive Controller on a FPGA. AHS 2011: 327-335 - 2010
- [c2]Koldo Basterretxea, Inés del Campo, Javier Echanobe:
A semi-active suspension embedded controller in a FPGA. SIES 2010: 69-78
2000 – 2009
- 2009
- [p1]Koldo Basterretxea, Inés del Campo:
Electronic Hardware for Fuzzy Computation. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 1-30 - 2007
- [j1]Koldo Basterretxea, José Manuel Tarela, Inés del Campo, Guillermo Bosque:
An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design. IEEE Trans. Neural Networks 18(1): 266-283 (2007) - 2005
- [c1]David J. Donaire, Rafael Bárcena, Koldo Basterretxea:
Improvement on the pole-placement control scheme by using generalized sampled-data hold functionsdo. ICINCO 2005: 92-98
Coauthor Index
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