Zobrazeno 1 - 10
of 8 264
pro vyhledávání: '"Lenhart A"'
We study the optimal control problem of a free boundary PDE model describing the growth of multilayered tumor tissue in vitro. We seek the optimal amount of tumor growth inhibitor that simultaneously minimizes the thickness of the tumor tissue and mi
Externí odkaz:
http://arxiv.org/abs/2410.14114
Commonsense knowledge is essential for machines to reason about the world. Large language models (LLMs) have demonstrated their ability to perform almost human-like text generation. Despite this success, they fall short as trustworthy intelligent sys
Externí odkaz:
http://arxiv.org/abs/2410.12959
The zero-shot chain of thought (CoT) approach is often used in question answering (QA) by language models (LMs) for tasks that require multiple reasoning steps, typically enhanced by the prompt "Let's think step by step." However, some QA tasks hinge
Externí odkaz:
http://arxiv.org/abs/2409.01345
Autor:
Sinhamahapatra, Poulami, Shit, Suprosanna, Sekuboyina, Anjany, Husseini, Malek, Schinz, David, Lenhart, Nicolas, Menze, Joern, Kirschke, Jan, Roscher, Karsten, Guennemann, Stephan
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Vertebral fracture grading classifies the severity of vertebral fractures, which is a challenging task in medical imaging and has recently attracted Deep Learning (DL) models. Only a few works attempted to make such models human-interpretable despite
Externí odkaz:
http://arxiv.org/abs/2404.02830
Autor:
Schubert, Lenhart K.
Algorithmic theories of randomness can be related to theories of probabilistic sequence prediction through the notion of a predictor, defined as a function which supplies lower bounds on initial-segment probabilities of infinite sequences. An infinit
Externí odkaz:
http://arxiv.org/abs/2401.13066
Autor:
Ziegelmayer, Sebastian, Marka, Alexander W., Lenhart, Nicolas, Nehls, Nadja, Reischl, Stefan, Harder, Felix, Sauter, Andreas, Makowski, Marcus, Graf, Markus, Gawlitza, Joshua
Publikováno v:
J Med Internet Res 2023;25:e50865
The remarkable generative capabilities of multimodal foundation models are currently being explored for a variety of applications. Generating radiological impressions is a challenging task that could significantly reduce the workload of radiologists.
Externí odkaz:
http://arxiv.org/abs/2311.06815
Autor:
Kane, Benjamin, Schubert, Lenhart
In many NLP applications that involve interpreting sentences within a rich context -- for instance, information retrieval systems or dialogue systems -- it is desirable to be able to preserve the sentence in a form that can be readily understood with
Externí odkaz:
http://arxiv.org/abs/2310.06254
Autor:
Kane, Benjamin, Schubert, Lenhart
Many practical applications of dialogue technology require the generation of responses according to a particular developer-specified persona. While a variety of personas can be elicited from recent large language models, the opaqueness and unpredicta
Externí odkaz:
http://arxiv.org/abs/2310.06245
A pair $\langle G_0, G_1 \rangle$ of graphs admits a mutual witness proximity drawing $\langle \Gamma_0, \Gamma_1 \rangle$ when: (i) $\Gamma_i$ represents $G_i$, and (ii) there is an edge $(u,v)$ in $\Gamma_i$ if and only if there is no vertex $w$ in
Externí odkaz:
http://arxiv.org/abs/2309.01463
Autor:
Geoffrey E. Lynn, Taylor J. Ludwig, Michelle E.J. Allerdice, Christopher D. Paddock, Blake A. Grisham, Paul A. Lenhart, Pete D. Teel, Tammi L. Johnson
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Amblyomma maculatum sensu lato (s.l.) is an ixodid tick found in the semi-arid southwestern United States and northern Mexico where it is a parasite of medical and veterinary significance, including as a vector for Rickettsia parkeri, a caus
Externí odkaz:
https://doaj.org/article/7083837bccec40298d640e94d5bee7a6
