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Contributions

Lightweight Classification of Canine Eye Diseases

Lightweight Classification of Canine Eye Diseases

Isselmou Abdarahmane and Peter M. Roth

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 278-281

Measuring the Specific Gravity of Urine of Dogs Using Digital Refractometers

Measuring the Specific Gravity of Urine of Dogs Using Digital Refractometers

Martina Jezik and Peter M. Roth

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 282-286

Interactive VetMap of Austria

Interactive VetMap of Austria

Valentina Dolin, Gudrun Kinz, Martina Jezik, Mark A.M. Kramer and Peter M. Roth

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 287-291

Stochastic Application Domain Definition for Functional Trustworthiness Certification of AI Systems

Stochastic Application Domain Definition for Functional Trustworthiness Certification of AI Systems

Simon Schmid, Barbara Brune, Alexander Aufreiter, Lukas Gruber, Kajetan Schweighofer, Xaver Stadlbauer, Thomas Doms and Bernhard Nessler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 204-220

Conversational Agents in Multi-User Environments

Conversational Agents in Multi-User Environments

Umut Tanriverdi, Tobias Halmdienst, Simon Schmid, Bernhard Nessler and Michal Lewandowski

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 221-234

Safety Driven Hardware and Control Architecture for Automated Surface Vessel Systems

Safety Driven Hardware and Control Architecture for Automated Surface Vessel Systems

Önder Hamamcıoğlu, Semih Bajrami, Viktor Komyshan, Gehan Dasanayake and Mathias Brandstötter

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 235-243

Anthropomorphic Terminology in Artificial Intelligence

Anthropomorphic Terminology in Artificial Intelligence

Iana Kazeeva, Simon Schmid and Bernhard Nessler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 244-253

Explainable Selection of Machine Learning Algorithms in Social Sciences

Explainable Selection of Machine Learning Algorithms in Social Sciences

Dijana Oreski, Luka Katava and Alen Kisic

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 254-262

Linearized Bregman Iterations for Sparse Spiking Neural Networks

Linearized Bregman Iterations for Sparse Spiking Neural Networks

Daniel Windhager, Michael Lunglmayr and Bernhard Moser

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 370-377

Recurrent versus parallelizable spiking neural networks: A comparative study

Recurrent versus parallelizable spiking neural networks: A comparative study

Alexander Mayr, Simon Hitzginger and Robert Legenstein

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 378-385