output
20092026
most citedLaBonte's method revisited: An effective steepest descent method for micromagnetic energy minimization

148 citations

71 papers

cs.SD2026

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice

Reyhaneh Abbasi, Peter Balazs, Vincent Lostanlen +4

Bioacoustic recordings are often degraded by ambient noise, which complicates the analysis of weak or noise-overlapped vocalizations. Convolutional neural networks, particularly U-…

cs.CY2026

Digital Twins for Small Towns and Rural Regions: Data Integration, Simulation and Visualisation Across Three Use Cases in Lower Austria

Thomas Delissen, Lukas Daniel Klausner, Maximilian Lackner +2

Smart city and digital twin concepts hold considerable potential for improving local governance and planning, yet practical implementations have almost exclusively focused on large…

cs.CY2026

AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence

Paul Anton Bachmann, Niclas Boehmer, Lukas Daniel Klausner +1

With the growing adoption of AI systems, reasoning about how society can exert control over AI becomes an increasingly urgent problem. Existing work on democratic control largely f…

cs.CV2025

A Matter of Time: Revealing the Structure of Time in Vision-Language Models

Nidham Tekaya, Manuela Waldner, Matthias Zeppelzauer

Large-scale vision-language models (VLMs) such as CLIP have gained popularity for their generalizable and expressive multimodal representations. By leveraging large-scale training…

cs.HC2025

Visual Tools for Input and Reflection in Social Work

Alexander Rind, Julia Boeck

Social workers need visual tools to collect information about their client's life situation, so that they can reflect it together and choose tailored interventions. easyNWK and eas…

cs.CY2025★ 1 cited

Small Towns, Big Questions: Methodological Insights into Use Case Selection for Digital Twins in Small Towns

Lucy Temple, Gabriela Viale Pereira, Laura Kaltenbrunner +1

Selecting appropriate use cases for implementing digital solutions in small towns is a recurring challenge for smart city projects. This paper presents a transdisciplinary methodol…

cs.HC2025★ 2 cited

Interactive Discovery and Exploration of Visual Bias in Generative Text-to-Image Models

Johannes Eschner, Roberto Labadie-Tamayo, Matthias Zeppelzauer +1

Bias in generative Text-to-Image (T2I) models is a known issue, yet systematically analyzing such models' outputs to uncover it remains challenging. We introduce the Visual Bias Ex…

cs.CR2025★ 5 cited

Surveillance Disguised as Protection: A Comparative Analysis of Sideloaded and In-Store Parental Control Apps

Eva-Maria Maier, Leonie Maria Tanczer, Lukas Daniel Klausner

Parental control applications, software tools designed to manage and monitor children's online activities, serve as essential safeguards for parents in the digital age. However, th…

cs.AI2025★ 13 cited

Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements

Carlo Dindorf, Fabian Horst, Djordje Slijepčević +5

This chapter provides an overview of recent and promising Machine Learning applications, i.e. pose estimation, feature estimation, event detection, data exploration & clustering, a…

cs.CR2024★ 4 cited

If It Looks Like a Rootkit and Deceives Like a Rootkit: A Critical Examination of Kernel-Level Anti-Cheat Systems

Christoph Dorner, Lukas Daniel Klausner

Addressing a critical aspect of cybersecurity in online gaming, this paper systematically evaluates the extent to which kernel-level anti-cheat systems mirror the properties of roo…

cs.MM2024★ 2 cited

The Future is Meta: Metadata, Formats and Perspectives towards Interactive and Personalized AV Content

Alexander Weller, Werner Bleisteiner, Christian Hufnagel +1

The production of media content has undergone tremendous changes in recent years. Multiple daily content updates are just as common for some platforms as is processing the provided…

cs.CY2024★ 8 cited

Unravelling the Use of Digital Twins to Assist Decision- and Policy-Making in Smart Cities

Lucy Temple, Gabriela Viale Pereira, Lukas Daniel Klausner

This short paper represents a systematic literature review that sets the basis for the future development of a framework for digital twin-based decision support in the public secto…

cs.HC2024★ 2 cited

Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes

Daniel Pahr, Henry Ehlers, Hsiang-Yun Wu +2

We conducted a study to systematically investigate the communication of complex dynamic processes along a two-dimensional design space, where the axes represent a representation's…

econ.GN2024★ 2 cited

How Periodic Forecast Updates Influence MRP Planning Parameters: A Simulation Study

Wolfgang Seiringer, Klaus Altendorfer, Thomas Felberbauer +2

In many supply chains, the current efforts at digitalization have led to improved information exchanges between manufacturers and their customers. Specifically, demand forecasts ar…

cs.HC2024★ 18 cited

Open Your Ears and Take a Look: A State-of-the-Art Report on the Integration of Sonification and Visualization

Kajetan Enge, Elias Elmquist, Valentina Caiola +7

The research communities studying visualization and sonification for data display and analysis share exceptionally similar goals, essentially making data of any kind interpretable…

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★ 1 cited

Towards a Critical Open-Source Software Database

Tobias Dam, Lukas Daniel Klausner, Sebastian Neumaier

Open-source software (OSS) plays a vital role in the modern software ecosystem. However, the maintenance and sustainability of OSS projects can be challenging. In this paper, we pr…

math.LO2023★ 2 cited

More on Halfway New Cardinal Characteristics

Barnabás Farkas, Lukas Daniel Klausner, Marc Lischka

We continue investigating variants of the splitting and reaping numbers introduced in arXiv:1808.02442. In particular, answering a question raised there, we prove the consistency o…

cs.CL2023

Building a Knowledge Graph of Distributed Ledger Technologies

Lukas König, Sebastian Neumaier

Distributed ledger systems have become more prominent and successful in recent years, with a focus on blockchains and cryptocurrency. This has led to various misunderstandings abou…

cs.LG2022★ 11 cited

Explaining machine learning models for age classification in human gait analysis

Djordje Slijepcevic, Fabian Horst, Marvin Simak +7

Machine learning (ML) models have proven effective in classifying gait analysis data, e.g., binary classification of young vs. older adults. ML models, however, lack in providing h…

cs.LG2022★ 13 cited

Explaining automated gender classification of human gait

Fabian Horst, Djordje Slijepcevic, Matthias Zeppelzauer +6

State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions. This "blac…

cs.CL2022★ 2 cited

"Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie

Sabrina Burtscher, Katta Spiel, Lukas Daniel Klausner +2

With the increasing attention non-binary people receive in Western societies, strategies of gender-fair language have started to move away from binary (only female/male) concepts o…

cs.HC2022★ 35 cited

Perspectives of Visualization Onboarding and Guidance in VA

Christina Stoiber, Davide Ceneda, Markus Wagner +5

A typical problem in Visual Analytics is that users are highly trained experts in their application domains, but have mostly no experience in using VA systems. Thus, users often ha…

cs.DB2022★ 21 cited

Finding Your Way Through the Jungle of Big Data Architectures

Torsten Priebe, Sebastian Neumaier, Stefan Markus

This paper presents a systematic review of common analytical data architectures based on DAMA-DMBOK and ArchiMate. The paper is work in progress and provides a first view on Gartne…