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pro vyhledávání: '"Theiss P"'
Recently, text-to-image generation with diffusion models has made significant advancements in both higher fidelity and generalization capabilities compared to previous baselines. However, generating holistic multi-view consistent images from prompts
Externí odkaz:
http://arxiv.org/abs/2412.03756
Difficulty is one of the key drivers of player engagement and it is often one of the aspects that designers tweak most to optimise the player experience; operationalising it is, therefore, a crucial task for game development studios. A common practic
Externí odkaz:
http://arxiv.org/abs/2401.17436
Publikováno v:
Proceedings of the 2020 IEEE Conference on Games (CoG)
In this work we investigate whether it is plausible to use the performance of a reinforcement learning (RL) agent to estimate the difficulty measured as the player completion rate of different levels in the mobile puzzle game Lily's Garden.For this p
Externí odkaz:
http://arxiv.org/abs/2306.14626
Autor:
Jörg Hänze, Lilly M. Mengen, Marco Mernberger, Dinesh Kumar Tiwari, Thomas Plagge, Andrea Nist, Florentine S. B. Subtil, Ulrike Theiss, Fabian Eberle, Katrin Roth, Matthias Lauth, Rainer Hofmann, Rita Engenhart-Cabillic, Thorsten Stiewe, Axel Hegele
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-16 (2024)
Abstract Background Radiotherapy is essential in the treatment of prostate cancer. An alternative to conventional photon radiotherapy is the application of carbon ions, which provide a superior intratumoral dose distribution and less induced damage t
Externí odkaz:
https://doaj.org/article/fad8adc82b6c4138974260b87cd5e500
Autor:
Maria Theiss, Anna Menshenina
Publikováno v:
Social Inclusion, Vol 12, Iss 0 (2024)
The article aims to improve our understanding of the politics of energy policy in the EU in the context of the war in Ukraine. It shows how the energy policy debate is contextualised by the suffering of Ukraine and the country’s efforts to resist R
Externí odkaz:
https://doaj.org/article/99482470da2a4f61a120b5a9d49cf3b7
Publikováno v:
The 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22), October 29-November 2, 2022, Bend, OR, USA. ACM, New York, NY, USA, 13 pages
The accurate and personalized estimation of task difficulty provides many opportunities for optimizing user experience. However, user diversity makes such difficulty estimation hard, in that empirical measurements from some user sample do not necessa
Externí odkaz:
http://arxiv.org/abs/2209.13495
Image-to-image translation has played an important role in enabling synthetic data for computer vision. However, if the source and target domains have a large semantic mismatch, existing techniques often suffer from source content corruption aka sema
Externí odkaz:
http://arxiv.org/abs/2209.02686
Publikováno v:
2019 IEEE Conference on Games (CoG)
In freemium games, the revenue from a player comes from the in-app purchases made and the advertisement to which that player is exposed. The longer a player is playing the game, the higher will be the chances that he or she will generate a revenue wi
Externí odkaz:
http://arxiv.org/abs/2209.03184
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-16 (2024)
Abstract Background The leaf angle distribution (LAD) is an important structural parameter of agricultural crops that influences light interception, radiation fluxes and consequently plant performance. Therefore, LAD and its parametrized form, the Be
Externí odkaz:
https://doaj.org/article/005e6b729acd4e0bb1eebff8c6db9467
Autor:
Paula Maria Neufeld, Ralf A Nettersheim, Veronika Matschke, Matthias Vorgerd, Sarah Stahlke, Carsten Theiss
Publikováno v:
Neural Regeneration Research, Vol 19, Iss 10, Pp 2219-2228 (2024)
This comprehensive review explores the intricate relationship between nutrition, the gut microbiome, steroid hormones, and Parkinson’s disease within the context of the gut-brain axis. The gut-brain axis plays a pivotal role in neurodegenerative di
Externí odkaz:
https://doaj.org/article/ebcacf7fad1146ab8b94427b00d8a91c