Publications (53) KOLDOBIKA BASTERRECHEA OYARZABAL publications

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2024

  1. Designing DNNs for a trade-off between robustness and processing performance in embedded devices∗

    2024 39th Conference on Design of Circuits and Integrated Systems, DCIS 2024

  2. Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective

    Journal of Systems Architecture, Vol. 154

  3. Hardware coprocessor integration with NEORV32: Characterization for efficient implementation of RISC-V-based AI SoCs

    2024 39th Conference on Design of Circuits and Integrated Systems, DCIS 2024

  4. Neuromorphic Technology Insights in Spain

    Proceedings of the IEEE Conference on Nanotechnology

  5. Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving

    2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

2023

  1. HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving

    2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

  2. On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving

    Journal of Systems Architecture, Vol. 139

  3. Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving

    ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity

  4. SilionBurmuin: A Horizon Europe propelled Neurocomputing Initiative in the Basque Country

    Proceedings - 2023 49th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2023

2022

  1. Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Multi-Objective Genetic Algorithm for Optimizing an ELM-Based Driver Distraction Detection System

    IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Núm. 8, pp. 11946-11959

2021

  1. HSI-drive: A dataset for the research of hyperspectral image processing applied to autonomous driving systems

    IEEE Intelligent Vehicles Symposium, Proceedings

  2. Robust embedded MPC with reduced-precision arithmetic for cost-optimized implementations

    IECON Proceedings (Industrial Electronics Conference)

2020

  1. Towards the Development of a CAD Tool for the Implementation of High-Speed Embedded MPCs on FPGAs

    European Control Conference 2020, ECC 2020

2019

  1. A versatile hardware/software platform for personalized driver assistance based on online sequential extreme learning machines

    Neural Computing and Applications, Vol. 31, Núm. 12, pp. 8871-8886

  2. Towards the automatic implementation of reduced-size and high throughput MPC on FPGAs

    2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019

2017

  1. A fully configurable and scalable neural coprocessor IP for SoC implementations of machine learning applications

    2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017

  2. Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification

    Proceedings of the International Joint Conference on Neural Networks

  3. Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents

    Proceedings of the International Joint Conference on Neural Networks

2016

  1. ELM-based hyperspectral imagery processor for onboard real-time classification

    Conference on Design and Architectures for Signal and Image Processing, DASIP