Improvement on the pole-placement control scheme by using generalized sampled-data hold functionsdo. - David J. Donaire; Rafael Bárcena; Koldo Basterretxea (ICINCO, 2005)

An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design. - Koldo Basterretxea; José Manuel Tarela; Inés del Campo; Guillermo Bosque (IEEE Trans. Neural Networks, 2007)

Electronic Hardware for Fuzzy Computation. - Koldo Basterretxea; Inés del Campo (Scalable Fuzzy Algorithms for Data Management and Analysis, 2009)

A semi-active suspension embedded controller in a FPGA. - Koldo Basterretxea; Inés del Campo; Javier Echanobe (SIES, 2010)

Embedded high-speed Model Predictive Controller on a FPGA. - Koldo Basterretxea; Khaled Benkrid (AHS, 2011)

Scalable Architecture for High-Speed Multidimensional Fuzzy Inference Systems. - Inés del Campo; Javier Echanobe; Koldo Basterretxea; Guillermo Bosque (J. Circuits Syst. Comput., 2011)

Recursive sigmoidal neurons for adaptive accuracy neural network implementations. - Koldo Basterretxea (AHS, 2012)

A hardware/software embedded agent for real-time control of ambient-intelligence environments. - Inés del Campo; M. Victoria Martínez; Javier Echanobe; Koldo Basterretxea; Faiyaz Doctor (FUZZ-IEEE, 2012)

Dynamic Partial Reconfiguration in Embedded Systems for Intelligent Environments. - Javier Echanobe; Inés del Campo; Raul Finker; Koldo Basterretxea (Intelligent Environments, 2012)

Generalized sampled-data hold functions with asymptotic zero-order hold behavior and polynomic reconstruction. - Unai Ugalde; Rafael Bárcena; Koldo Basterretxea (Autom., 2012)

A System-on-Chip Development of a Neuro-Fuzzy Embedded Agent for Ambient-Intelligence Environments. - Inés del Campo; Koldo Basterretxea; Javier Echanobe; Guillermo Bosque; Faiyaz Doctor (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Dynamic significant feature extraction for embedded intelligent agent implementations. - Koldo Basterretxea; Inés del Campo; M. Victoria Martínez; Javier Echanobe (CIDUE, 2013)

Adaptive scalable SVD unit for fast processing of large LSE problems. - Iñaki Bildosola; Unai Martinez-Corral; Koldo Basterretxea (ASAP, 2014)

A wearable human activity recognition system on a chip. - Koldo Basterretxea; Javier Echanobe; Inés del Campo (DASIP, 2014)

Scalable parallel architecture for singular value decomposition of large matrices. - Unai Martinez-Corral; Koldo Basterretxea; Raul Finker (FPL, 2014)

A fault tolerant single-chip intelligent agent with feature extraction capability. - Koldo Basterretxea; María Victoria Martínez; Inés del Campo; Javier Echanobe (Appl. Soft Comput., 2014)

An FPGA-based multiprocessor-architecture for intelligent environments. - Javier Echanobe; Inés del Campo; Koldo Basterretxea; M. Victoria Martínez; Faiyaz Doctor (Microprocess. Microsystems, 2014)

Efficient Algorithms for Accelerometer-Based Wearable Hand Gesture Recognition Systems. - Gorka Marques; Koldo Basterretxea (EUC, 2015)

Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System. - María Victoria Martínez; Inés del Campo; Javier Echanobe; Koldo Basterretxea (ITSC, 2015)

ELM-based hyperspectral imagery processor for onboard real-time classification. - Koldo Basterretxea; Unai Martinez-Corral; Raul Finker; Inés del Campo (DASIP, 2016)

A fully configurable and scalable neural coprocessor IP for SoC implementations of machine learning applications. - Unai Martinez-Corral; Koldo Basterretxea (AHS, 2017)

Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents. - Inés del Campo; Victoria Martínez; Flavia Orosa; Javier Echanobe; Estibaliz Asua; Koldo Basterretxea (IJCNN, 2017)

Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification. - Javier Echanobe; Inés del Campo; M. Victoria Martínez; Koldo Basterretxea (IJCNN, 2017)

Towards the Automatic Implementation of Reduced-size and High Throughput MPC on FPGAs. - Aitor del Rio Ruiz; Koldo Basterretxea (CoDIT, 2019)

A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines. - Inés del Campo; Victoria Martínez; Javier Echanobe; Estibaliz Asua; Raul Finker; Koldo Basterretxea (Neural Comput. Appl., 2019)

Towards the Development of a CAD Tool for the Implementation of High-Speed Embedded MPCs on FPGAs. - Aitor del Rio Ruiz; Koldo Basterretxea (ECC, 2020)

DBHI: A Tool for Decoupled Functional Hardware-Software Co-Design on SoCs. - Unai Martinez-Corral; Guillermo Callaghan; Konstantinos Iordanou; Cosmin Gorgovan; Koldo Basterretxea; Mikel Luján (FPGA, 2020)

Robust embedded MPC with reduced-precision arithmetic for cost-optimized implementations. - Aitor del Rio Ruiz; Koldo Basterretxea (IECON, 2021)

HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems. - Koldo Basterretxea; Victoria Martínez; Javier Echanobe; Jon Gutiérrez-Zaballa; Inés del Campo (IV, 2021)

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; M. Victoria Martínez; Inés del Campo (DASIP, 2022)

Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System. - Javier Echanobe; Koldo Basterretxea; Inés del Campo; Victoria Martínez; Naiara Vidal (IEEE Trans. Intell. Transp. Syst., 2022)

SiliconBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country. - 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; et al. (SEAA, 2023)

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; Óscar Mata-Carballeira; M. Victoria Martínez (ICECS, 2023)

HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; M. Victoria Martínez; Unai Martinez-Corral (SSCI, 2023)

On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe; M. Victoria Martínez; Unai Martinez-Corral; Óscar Mata-Carballeira; Inés del Campo (J. Syst. Archit., 2023)

Designing DNNs for a trade-off between robustness and processing performance in embedded devices*. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe (DCIS, 2024)

Hardware coprocessor integration with NEORV32: characterization for efficient implementation of RISC-V-based AI SoCs. - Unai Sainz-Estebanez; Unai Martinez-Corral; Koldo Basterretxea (DCIS, 2024)

Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe (WHISPERS, 2024)

Designing DNNs for a trade-off between robustness and processing performance in embedded devices. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe (CoRR, 2024)

Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe (J. Syst. Archit., 2024)

Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe (CoRR, 2025)

Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach. - Jon Gutiérrez-Zaballa; Koldo Basterretxea; Javier Echanobe (CoRR, 2025)