output
20132026
most citedThe STRANDS Project: Long-Term Autonomy in Everyday Environments

197 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

6 papers · 1 filter

cs.AI2023★ 11 cited

Forms of Understanding for XAI-Explanations

Hendrik Buschmeier, Heike M. Buhl, Friederike Kern +17

Explainability has become an important topic in computer science and artificial intelligence, leading to a subfield called Explainable Artificial Intelligence (XAI). The goal of pr…

cs.CY2023★ 3 cited

Smart Cities and Digital Twins in Lower Austria

Gabriela Viale Pereira, Lukas Daniel Klausner, Lucy Temple +3

Smart city solutions require innovative governance approaches together with the smart use of technology, such as digital twins, by city managers and policymakers to manage the big…

cs.SE2023★ 5 cited

A Model Based Framework for Testing Safety and Security in Operational Technology Environments

Mukund Bhole, Wolfgang Kastner, Thilo Sauter

Todays industrial control systems consist of tightly coupled components allowing adversaries to exploit security attack surfaces from the information technology side, and, thus, al…

cs.SE2023★ 4 cited

Towards a Success Model for Automated Programming Assessment Systems Used as a Formative Assessment Tool

Clemens Sauerwein, Tobias Antensteiner, Stefan Oppl +4

The assessment of source code in university education is a central and important task for lecturers of programming courses. In doing so, educators are confronted with growing numbe…

cs.HC2023★ 3 cited

Visualizing Uncertainty in Sets

Christian Tominski, Michael Behrisch, Susanne Bleisch +4

Set visualization facilitates the exploration and analysis of set-type data. However, how sets should be visualized when the data is uncertain is still an open research challenge.…

physics.comp-ph2023★ 13 cited

Physics-informed machine learning and stray field computation with application to micromagnetic energy minimization

Sebastian Schaffer, Thomas Schrefl, Harald Oezelt +5

We study the full 3d static micromagnetic equations via a physics-informed neural network (PINN) ansatz for the continuous magnetization configuration. PINNs are inherently mesh-fr…