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Contributions

Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays

Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays

  • Laurent Perrinet

2026-07-01 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 397-406

Proceedings of the Semantic Scene Representations (SSR)Workshop at AIROV 2026

Proceedings of the Semantic Scene Representations (SSR)Workshop at AIROV 2026

  • Christian Rauch
  • Linus Nwankwo
  • Shail Jadav
  • Jun Zhang

2026-07-01 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 408-413

SNNSys – Workshop on Spiking Neural Networks

SNNSys – Workshop on Spiking Neural Networks

  • Bernhard Moser
  • Michael Lunglmayr
  • Robert Legenstein

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 368-369

Conceptual-Model-Guided Physics-Inspired Feature Engineering: A 3D-Printer Case Study

Conceptual-Model-Guided Physics-Inspired Feature Engineering: A 3D-Printer Case Study

  • Martin Paczona

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 333-337

Proceedings of the Robowork Workshop at AIROV 2026

Proceedings of the Robowork Workshop at AIROV 2026

  • Vedant Dave
  • Elmar Rueckert
  • Thomas Thurner
  • Siegfried Altmann
  • Yassine Elmanyari

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 344-348

AIRoV 2026 | Workshop on Physics-Informed Machine Learning and Hybrid Modeling (PhysicsML)

AIRoV 2026 | Workshop on Physics-Informed Machine Learning and Hybrid Modeling (PhysicsML)

  • Bernhard C. Geiger
  • Manfred Mücke
  • Stefan Posch

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 293-294

Workshop on Digital Transformation of Agriculture & Animal Science (DTAAS)

Workshop on Digital Transformation of Agriculture & Animal Science (DTAAS)

  • Sebastian Gruber
  • Mark A.M. Kramer
  • Peter Riegler-Nurscher
  • Peter M. Roth

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 264-266

Spot and Edge Feature Based Estimation of Point-Spread Functions for Image Deconvolution

Spot and Edge Feature Based Estimation of Point-Spread Functions for Image Deconvolution

  • Martin Welk

2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 169-179

Explainable AI for Efficient Hyperspectral Band Selection in Textile Recycling: A Score-CAM Approach

Explainable AI for Efficient Hyperspectral Band Selection in Textile Recycling: A Score-CAM Approach

  • Achraf Guenounou
  • Harald Ganster
  • Jean-Philippe Andreu

2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 180-188

Editorial: AI Certification, Fairness and Regulations (CERT AI 2026)

Editorial: AI Certification, Fairness and Regulations (CERT AI 2026)

  • Bernhard Nessler
  • Michal Lewandowski
  • Simon Schmid
  • Gregor Aichinger
  • Iana Kazeeva
  • Rania Wazir

2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 200-203