817 citations
- University of ZurichCH7 papers
- University of TübingenDE2 papers
- ZHAW Zurich University of Applied SciencesCH2 papers
- Bielefeld UniversityDE1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Delft University of TechnologyNL1 paper
- ETH ZurichCH1 paper
- FHNW University of Applied Sciences and Arts Northwestern SwitzerlandCH1 paper
- Institute for Sports MedicineDE1 paper
- Johannes Kepler University of LinzAT1 paper
- Leipzig UniversityDE1 paper
- Leipzig University of Applied SciencesDE1 paper
9 papers
Never say never: Exploring the effects of available knowledge on agent persuasiveness in controlled physiotherapy motivation dialogues
Stephan Vonschallen, Rahel Häusler, Theresa Schmiedel +1
Generative Social Agents (GSAs) are increasingly impacting human users through persuasive means. On the one hand, they might motivate users to pursue personal goals, such as health…
Suspense and Surprise in European Football
Raphael Flepp, Tim Pawlowski, Travis Richardson
A key criterion for evaluating sports competitions is their attractiveness to consumers. In this paper, we propose using match-level suspense and surprise, which capture the entert…
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
Arjhun Swaminathan, Anika Hannemann, Ali Burak Ünal +2
Genome-wide association studies are pivotal in understanding the genetic underpinnings of complex traits and diseases. Collaborative, multi-site GWAS aim to enhance statistical pow…
Integrating behavioral experimental findings into dynamical models to inform social change interventions
Radu Tanase, René Algesheimer, Manuel S. Mariani
Addressing global challenges often involves stimulating the large-scale adoption of new products or behaviors. Research traditions that focus on individual decision making suggest…
On a class of interdiction problems with partition matroids: complexity and polynomial-time algorithms
Sergey S. Ketkov, Oleg A. Prokopyev
In this study, we consider a class of linear matroid interdiction problems, where the feasible sets for the upper-level decision-maker (referred to as a leader) and the lower-level…
A study of distributionally robust mixed-integer programming with Wasserstein metric: on the value of incomplete data
Sergey S. Ketkov
This study addresses a class of linear mixed-integer programming (MILP) problems that involve uncertainty in the objective function parameters. The parameters are assumed to form a…