Zobrazeno 1 - 10
of 4 435
pro vyhledávání: '"P, Mandl"'
Autor:
Horych, Tomas, Mandl, Christoph, Ruas, Terry, Greiner-Petter, Andre, Gipp, Bela, Aizawa, Akiko, Spinde, Timo
High annotation costs from hiring or crowdsourcing complicate the creation of large, high-quality datasets needed for training reliable text classifiers. Recent research suggests using Large Language Models (LLMs) to automate the annotation process,
Externí odkaz:
http://arxiv.org/abs/2411.11081
Multiplex Imaging (MI) enables the simultaneous visualization of multiple biological markers in separate imaging channels at subcellular resolution, providing valuable insights into cell-type heterogeneity and spatial organization. However, current c
Externí odkaz:
http://arxiv.org/abs/2411.03341
Publikováno v:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Pages 23-33
Detecting genetic aberrations is crucial in cancer diagnosis, typically through fluorescence in situ hybridization (FISH). However, existing FISH image classification methods face challenges due to signal variability, the need for costly manual annot
Externí odkaz:
http://arxiv.org/abs/2411.01025
Autor:
Weber, Manuel, Bogdain, Philipp, Weißenberger, Sophia Viktoria, Marjanovic, Diana, Sammet, Katharina, Vellmer, Jan, Banihashemi, Farzan, Mandl, Peter
Research towards energy optimization in buildings heavily relies on building-related data such as measured indoor climate factors. While data collection is a labor- and cost-intensive task, simulations are a cheap alternative to generate datasets of
Externí odkaz:
http://arxiv.org/abs/2410.19888
The method of complex Langevin simulations is a tool that can be used to tackle the complex-action problem encountered, for instance, in finite-density lattice quantum chromodynamics or real-time lattice field theories. The method is based on a stoch
Externí odkaz:
http://arxiv.org/abs/2410.13423
The deep operator network (DeepONet) is a popular neural operator architecture that has shown promise in solving partial differential equations (PDEs) by using deep neural networks to map between infinite-dimensional function spaces. In the absence o
Externí odkaz:
http://arxiv.org/abs/2407.15887
Distributed quantum computing leverages the collective power of multiple quantum devices to perform computations exceeding the capabilities of individual quantum devices. A currently studied technique to enable this distributed approach is wire cutti
Externí odkaz:
http://arxiv.org/abs/2406.13315
Cover songs are alternate versions of a song by a different artist. Long being a vital part of the music industry, cover songs significantly influence music culture and are commonly heard in public venues. The rise of online music platforms has furth
Externí odkaz:
http://arxiv.org/abs/2406.04384
Distributed quantum computing supports combining the computational power of multiple quantum devices to overcome the limitations of individual devices. Circuit cutting techniques enable the distribution of quantum computations via classical communica
Externí odkaz:
http://arxiv.org/abs/2403.09690
We contribute the first publicly available dataset of factual claims from different platforms and fake YouTube videos on the 2023 Israel-Hamas war for automatic fake YouTube video classification. The FakeClaim data is collected from 60 fact-checking
Externí odkaz:
http://arxiv.org/abs/2401.16625