Zobrazeno 1 - 10
of 5 272
pro vyhledávání: '"P, Traub"'
The Steiner tree problem is one of the most prominent problems in network design. Given an edge-weighted undirected graph and a subset of the vertices, called terminals, the task is to compute a minimum-weight tree containing all terminals (and possi
Externí odkaz:
http://arxiv.org/abs/2407.19905
Autor:
Traub, Jeremias, Bungert, Till J., Lüth, Carsten T., Baumgartner, Michael, Maier-Hein, Klaus H., Maier-Hein, Lena, Jaeger, Paul F
Selective Classification, wherein models can reject low-confidence predictions, promises reliable translation of machine-learning based classification systems to real-world scenarios such as clinical diagnostics. While current evaluation of these sys
Externí odkaz:
http://arxiv.org/abs/2407.01032
Autor:
Zenk, Maximilian, Zimmerer, David, Isensee, Fabian, Traub, Jeremias, Norajitra, Tobias, Jäger, Paul F., Maier-Hein, Klaus
Semantic segmentation is an essential component of medical image analysis research, with recent deep learning algorithms offering out-of-the-box applicability across diverse datasets. Despite these advancements, segmentation failures remain a signifi
Externí odkaz:
http://arxiv.org/abs/2406.03323
We consider cost allocation for set covering problems. We allocate as much cost to the elements (players) as possible without violating the group rationality condition (no subset of players pays more than covering this subset would cost), and so that
Externí odkaz:
http://arxiv.org/abs/2401.04040
Current slot-oriented approaches for compositional scene segmentation from images and videos rely on provided background information or slot assignments. We present a segmented location and identity tracking system, Loci-Segmented (Loci-s), which doe
Externí odkaz:
http://arxiv.org/abs/2310.10410
While human infants exhibit knowledge about object permanence from two months of age onwards, deep-learning approaches still largely fail to recognize objects' continued existence. We introduce a slot-based autoregressive deep learning system, the lo
Externí odkaz:
http://arxiv.org/abs/2310.10372
The single-source unsplittable flow (SSUF) problem asks to send flow from a common source to different terminals with unrelated demands, each terminal being served through a single path. One of the most heavily studied SSUF objectives is to minimize
Externí odkaz:
http://arxiv.org/abs/2308.02651
Autor:
Jan Traub, György Homola, Caroline Morbach, Roxanne Sell, Dennis Göpfert, Stefan Frantz, Mirko Pham, Guido Stoll, Stefan Störk, Anna Frey
Publikováno v:
ESC Heart Failure, Vol 11, Iss 5, Pp 3191-3199 (2024)
Abstract Aims Cognitive impairment (CI) is a common, yet frequently unrecognized co‐morbidity in chronic heart failure (HF). We quantified trajectories of cognitive performance, brain volume, and related clinical outcome over a time course of 6 yea
Externí odkaz:
https://doaj.org/article/161d107e3b3e4fbc9919de45c04321d7
Autor:
Tandis Parvizi, Raphael Wurm, Theresa König, Sara Silvaieh, Patrick Altmann, Sigrid Klotz, Guenther Regelsberger, Tatjana Traub‐Weidinger, Ellen Gelpi, Elisabeth Stögmann
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 8, Pp 1988-1998 (2024)
Abstract Objective In light of clinical trials and disease‐modifying therapies, an early identification of patients at‐risk of developing Alzheimer's disease (AD) is crucial. Blood‐based biomarkers have shown promising results regarding the in
Externí odkaz:
https://doaj.org/article/d24c719dee2e426b8a38d5dd3e56c01e
Autor:
Turco, Fabrizio, Traub, Constantin, Gaißer, Steffen, Burgdorf, Jonas, Klinkner, Sabine, Fasoulas, Stefanos
Collision avoidance is a topic of growing importance for any satellite orbiting Earth. Especially those satellites without thrusting capabilities face the problem of not being able to perform impulsive collision avoidance manoeuvres. For satellites i
Externí odkaz:
http://arxiv.org/abs/2307.03564