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- Goddard Space Flight CenterUS21 papers
- Centre National de la Recherche ScientifiqueFR18 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR18 papers
- Astrophysique, Instrumentation et ModélisationFR17 papers
- Max Planck Institute for Radio AstronomyDE17 papers
- Universities Space Research AssociationUS17 papers
- National Institute for AstrophysicsIT16 papers
- University of Maryland, College ParkUS16 papers
- University of PaduaIT16 papers
- University of Rome Tor VergataIT16 papers
- CEA Paris-SaclayFR15 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE15 papers
10 papers · 1 filter
Exploring the Impact of Non-Verbal Virtual Agent Behavior on User Engagement in Argumentative Dialogues
Annalena Bea Aicher, Yuki Matsuda, Keichii Yasumoto +3
Engaging in discussions that involve diverse perspectives and exchanging arguments on a controversial issue is a natural way for humans to form opinions. In this process, the way a…
The origin of hypervelocity white dwarfs in the merger-disruption of He-CO white dwarfs
Hila Glanz, Hagai B. Perets, Aakash Bhat +1
Hypervelocity white dwarfs (HVWDs) are stellar remnants moving at speeds exceeding the Milky Way's escape velocity. The origins of the fastest HVWDs are enigmatic, with proposed fo…
Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing
Enrica Troiano, Sofie Labat, Marco Antonio Stranisci +3
There is a mismatch between psychological and computational studies on emotions. Psychological research aims at explaining and documenting internal mechanisms of these phenomena, w…
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Lukas Bahr, Christoph Wehner, Judith Wewerka +3
Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness…
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey
Simon Schramm, Christoph Wehner, Ute Schmid
Artificial Intelligence applications gradually move outside the safe walls of research labs and invade our daily lives. This is also true for Machine Learning methods on Knowledge…
Rethinking model prototyping through the MedMNIST+ dataset collection
Sebastian Doerrich, Francesco Di Salvo, Julius Brockmann +1
The integration of deep learning based systems in clinical practice is often impeded by challenges rooted in limited and heterogeneous medical datasets. In addition, the field has…