◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Koldo Basterretxea

10 papers hereh-index 16723 citations62 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author9

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedOn-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving

35 citations · 94 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CV2025

Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe

The use of HSI for autonomous navigation is a promising research field aimed at improving the accuracy and robustness of detection, tracking, and scene understanding systems based…

cs.LG2025★ 1 cited

Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe

Machine learning-based embedded systems for safety-critical applications, such as aerospace and autonomous driving, must be robust to perturbations caused by soft errors. As transi…

eess.IV2025★ 1 cited

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

Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe

Integrating hyperspectral imagery (HSI) with deep neural networks (DNNs) can strengthen the accuracy of intelligent vision systems by combining spectral and spatial information, wh…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.