188 citations
- Universität InnsbruckAT6 papers
- University of Campania "Luigi Vanvitelli"IT3 papers
- University of the Basque CountryES3 papers
- International Institute for Advanced Scientific Studies "Eduardo R. Caianiello"IT2 papers
- Oslo University HospitalNO2 papers
- Trinity College DublinIE2 papers
- CereProc (United Kingdom)GB1 paper
- Czech Technical University in PragueCZ1 paper
- E-SeniorsFR1 paper
- European Automobile Manufacturers AssociationBE1 paper
- Fraunhofer AustriaAT1 paper
- Institute for Quantum Optics and Quantum Information InnsbruckAT1 paper
22 papers
Splitting User Stories Into Tasks with AI -- A Foe or an Ally?
Luka Pavlič, Reinhard Bernsteiner, Stephan Schlögl +1
In agile software development, breaking down user stories into actionable tasks is a critical yet time-consuming process. This paper investigates the potential of Generative AI too…
Optically trapped Feshbach molecules of fermionic Dy and K: Role of light-induced and collisional losses
Alberto Canali, Chun-Kit Wong, Luc Absil +4
We study the decay of a dense, ultracold sample of weakly bound DyK dimers stored in an optical dipole trap. Our bosonic dimers are composed of the fermionic isotopes Dy an…
Wizard of Oz Experimentation for Language Technology Applications: Challenges and Tools
Stephan Schlögl, Gavin Doherty, Saturnino Luz
Wizard of OZ (WOZ) is a well-established method for simulating the functionality and user experience of future systems. Using a human wizard to mimic certain operations of a potent…
Tell me, what are you most afraid of? Exploring the Effects of Agent Representation on Information Disclosure in Human-Chatbot Interaction
Anna Stock, Stephan Schlögl, Aleksander Groth
Self-disclosure counts as a key factor influencing successful health treatment, particularly when it comes to building a functioning patient-therapist-connection. To this end, the…
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models
Martin Nocker, David Drexel, Michael Rader +2
Machine learning (ML) algorithms are increasingly important for the success of products and services, especially considering the growing amount and availability of data. This also…
On the Effect of Adversarial Training Against Invariance-based Adversarial Examples
Roland Rauter, Martin Nocker, Florian Merkle +1
Adversarial examples are carefully crafted attack points that are supposed to fool machine learning classifiers. In the last years, the field of adversarial machine learning, espec…