Zobrazeno 1 - 10
of 1 145
pro vyhledávání: '"Benkert P"'
Response times contain information about economically relevant but unobserved variables like willingness to pay, preference intensity, quality, or happiness. Here, we provide a general characterization of the properties of latent variables that can b
Externí odkaz:
http://arxiv.org/abs/2408.14872
This paper investigates the value of recommendations for disseminating economic information, with a focus on frictions resulting from preference heterogeneity. We consider Bayesian expected-payoff maximizers who receive non-strategic recommendations
Externí odkaz:
http://arxiv.org/abs/2408.11362
Autor:
Xin, Bowen, Young, Tony, Wainwright, Claire E, Blake, Tamara, Lebrat, Leo, Gaass, Thomas, Benkert, Thomas, Stemmer, Alto, Coman, David, Dowling, Jason
Medical image synthesis generates additional imaging modalities that are costly, invasive or harmful to acquire, which helps to facilitate the clinical workflow. When training pairs are substantially misaligned (e.g., lung MRI-CT pairs with respirato
Externí odkaz:
http://arxiv.org/abs/2408.09432
This paper presents a discussion on data selection for deep learning in the field of seismic interpretation. In order to achieve a robust generalization to the target volume, it is crucial to identify the specific samples are the most informative to
Externí odkaz:
http://arxiv.org/abs/2406.05149
In this paper, we discuss feature engineering for single-pass uncertainty estimation. For accurate uncertainty estimates, neural networks must extract differences in the feature space that quantify uncertainty. This could be achieved by current singl
Externí odkaz:
http://arxiv.org/abs/2405.17494
Autor:
Kokilepersaud, Kiran, Logan, Yash-Yee, Benkert, Ryan, Zhou, Chen, Prabhushankar, Mohit, AlRegib, Ghassan, Corona, Enrique, Singh, Kunjan, Parchami, Mostafa
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting. Annotation-cost refers to the time it takes an annotator to
Externí odkaz:
http://arxiv.org/abs/2311.10591
We study how competitive forces may drive firms to inefficiently acquire startup talent. In our model, two rival firms have the capacity to acquire and integrate a startup operating in an orthogonal market. We show that firms may pursue such acquihir
Externí odkaz:
http://arxiv.org/abs/2308.10046
Autor:
Khadija Sheikh, Bruce L. Daniel, Michael Roumeliotis, Junghoon Lee, William T. Hrinivich, Thomas Benkert, Himanshu Bhat, Ravi T. Seethamraju, Akila N. Viswanathan, Ehud J. Schmidt
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Purpose To evaluate the relationship between delivered radiation (RT) and post-RT inversion-recovery ultrashort-echo-time (IR-UTE) MRI signal-intensity (SI) in gynecologic cancer patients treated with high-dose-rate (HDR) brachytherapy (BT).
Externí odkaz:
https://doaj.org/article/7bdfbd5d94fb4f91b64b904699038bd6
Autor:
Chalkou, Konstantina, Hamza, Tasnim, Benkert, Pascal, Kuhle, Jens, Zecca, Chiara, Simoneau, Gabrielle, Pellegrini, Fabio, Manca, Andrea, Egger, Matthias, Salanti, Georgia
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment effects vary
Externí odkaz:
http://arxiv.org/abs/2302.14766
In recent years, deep neural networks have significantly impacted the seismic interpretation process. Due to the simple implementation and low interpretation costs, deep neural networks are an attractive component for the common interpretation pipeli
Externí odkaz:
http://arxiv.org/abs/2302.14644