Zobrazeno 1 - 10
of 458 850
pro vyhledávání: '"Leonard BE"'
Publikováno v:
Journal of Gastrointestinal and Abdominal Radiology, Vol 07, Iss 01, Pp 073-078 (2024)
We present two cases of iatrogenic retroperitoneal perforation involving the ascending and descending colon. The unique imaging findings in these two cases demonstrate potential routes of communication for air originating in the retroperitoneum. In c
Externí odkaz:
https://doaj.org/article/2740c81cb06c473c8d7e1416ee4821ec
Autor:
Kohlenberg, Leo, Horns, Leonard, Sadrieh, Frederic, Kiele, Nils, Clausen, Matthis, Ketterer, Konstantin, Navasardyan, Avetis, Czinczoll, Tamara, de Melo, Gerard, Herbrich, Ralf
Annotating large datasets can be challenging. However, crowd-sourcing is often expensive and can lack quality, especially for non-trivial tasks. We propose a method of using LLMs as few-shot learners for annotating data in a complex natural language
Externí odkaz:
http://arxiv.org/abs/2410.12470
We present and analyze a mathematical model to study the feedback between behavior and epidemic spread in a population that is actively assessing and reacting to risk of infection. In our model, a population dynamically forms an opinion that reflects
Externí odkaz:
http://arxiv.org/abs/2410.12993
In this paper, we propose a simple method for testing identifying assumptions in parametric separable models, namely treatment exogeneity, instrument validity, and/or homoskedasticity. We show that the testable implications can be written in the inte
Externí odkaz:
http://arxiv.org/abs/2410.12098
Autor:
Paeleke, Leonard, Keshtiarast, Navid, Seehofer, Paul, Bless, Roland, Karl, Holger, Petrova, Marina, Zitterbart, Martina
6G networks will be highly dynamic, re-configurable, and resilient. To enable and support such features, employing AI has been suggested. Integrating AIin networks will likely require distributed AI deployments with resilient connectivity, e.g., for
Externí odkaz:
http://arxiv.org/abs/2410.11565
Autor:
Zhang, Yusong, Dong, Dong, Hung, Chi-tim, Heyerdahl, Leonard, Giles-Vernick, Tamara, Yeoh, Eng-kiong
Large Language Models (LLMs) have demonstrated remarkable capabilities in language understanding and generation. Advanced utilization of the knowledge embedded in LLMs for automated annotation has consistently been explored. This study proposed to de
Externí odkaz:
http://arxiv.org/abs/2410.11526
For biodiversity and forestry applications, end-users desire maps of forests that are fully detailed, from the forest floor to the canopy. Terrestrial laser scanning and aerial laser scanning are accurate and increasingly mature methods for scanning
Externí odkaz:
http://arxiv.org/abs/2410.09896
Autor:
Mamun, Abdullah, Leonard, Krista S., Petrov, Megan E., Buman, Matthew P., Ghasemzadeh, Hassan
Objective: This research aims to develop a lifestyle intervention system, called MoveSense, that forecasts a patient's activity behavior to allow for early and personalized interventions in real-world clinical environments. Methods: We conducted two
Externí odkaz:
http://arxiv.org/abs/2410.09643
Autor:
Shrestha, Manisha, DeSoto, Sabrina, Sand, David J., Williams, G. Grant, Hoffman, Jennifer L., Smith, Nathan, Smith, Paul S., Milne, Peter, McCall, Callum, Maund, Justyn R., Steele, Iain A, Wiersema, Klaas, Andrews, Jennifer E., Bilinski, Christopher, Anche, Ramya M., Bostroem, K. Azalee, Hosseinzadeh, Griffin, Pearson, Jeniveve, Leonard, Douglas C., Hsu, Brian, Dong, Yize, Hoang, Emily, Janzen, Daryl, Jencson, Jacob E., Jha, Saurabh W., Lundquist, M. J., Mehta, Darshana, Retamal, Nicolas Meza, Valenti, Stefano, Farah, Joseph, Howell, D. Andrew, McCully, Curtis, Newsome, Megan, Gonzalez, Estefania Padilla, Pellegrino, Craig, Terreran, Giacomo
We present multi-epoch optical spectropolarimetric and imaging polarimetric observations of the nearby Type II supernova (SN) 2023ixf discovered in M101 at a distance of 6.85 Mpc. The first imaging polarimetric observations were taken +2.33 days (600
Externí odkaz:
http://arxiv.org/abs/2410.08199
Robots rely on visual relocalization to estimate their pose from camera images when they lose track. One of the challenges in visual relocalization is repetitive structures in the operation environment of the robot. This calls for probabilistic metho
Externí odkaz:
http://arxiv.org/abs/2410.04989