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pro vyhledávání: '"Ratz, P."'
Autor:
Ratz, Michael
Modular flavor symmetries refers to scenarios in which fermion masses respect modular symmetries. Such scenarios have been studied in the bottom-up approach and have an explicit realization in string theory. They rely on the remarkable properties of
Externí odkaz:
http://arxiv.org/abs/2405.00870
Autor:
Nawrath, Marcel, Nowak, Agnieszka, Ratz, Tristan, Walenta, Danilo C., Opitz, Juri, Ribeiro, Leonardo F. R., Sedoc, João, Deutsch, Daniel, Mille, Simon, Liu, Yixin, Zhang, Lining, Gehrmann, Sebastian, Mahamood, Saad, Clinciu, Miruna, Chandu, Khyathi, Hou, Yufang
At the heart of the Pyramid evaluation method for text summarization lie human written summary content units (SCUs). These SCUs are concise sentences that decompose a summary into small facts. Such SCUs can be used to judge the quality of a candidate
Externí odkaz:
http://arxiv.org/abs/2404.01701
Autor:
Ratz, Manuel, Mendez, Miguel A.
We propose a method to obtain superresolution of turbulent statistics for three-dimensional ensemble particle tracking velocimetry (EPTV). The method is ''meshless'' because it does not require the definition of a grid for computing derivatives, and
Externí odkaz:
http://arxiv.org/abs/2403.11828
Driven by an increasing prevalence of trackers, ever more IoT sensors, and the declining cost of computing power, geospatial information has come to play a pivotal role in contemporary predictive models. While enhancing prognostic performance, geospa
Externí odkaz:
http://arxiv.org/abs/2401.16197
In modular invariant models of flavor, observables must be modular invariant. The observables discussed so far in the literature are functions of the modulus $\tau$ and its conjugate, $\bar\tau$. We point out that certain combinations of observables
Externí odkaz:
http://arxiv.org/abs/2401.04738
Autor:
Ramos-Sanchez, Saul, Ratz, Michael
We review efforts in string model building, focusing on the heterotic orbifold compactifications. We survey how one can, starting from an explicit string theory, obtain models which resemble Nature. These models exhibit the standard model gauge group
Externí odkaz:
http://arxiv.org/abs/2401.03125
Algorithmic fairness has gained prominence due to societal and regulatory concerns about biases in Machine Learning models. Common group fairness metrics like Equalized Odds for classification or Demographic Parity for both classification and regress
Externí odkaz:
http://arxiv.org/abs/2310.20508
In the standard use case of Algorithmic Fairness, the goal is to eliminate the relationship between a sensitive variable and a corresponding score. Throughout recent years, the scientific community has developed a host of definitions and tools to sol
Externí odkaz:
http://arxiv.org/abs/2309.06627
Ensuring trust and accountability in Artificial Intelligence systems demands explainability of its outcomes. Despite significant progress in Explainable AI, human biases still taint a substantial portion of its training data, raising concerns about u
Externí odkaz:
http://arxiv.org/abs/2308.11090
Autor:
Nathan Houchens, MD, Latoya Kuhn, MPH, David Ratz, MS, Grace L. Su, MD, Sanjay Saint, MD, MPH
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 8, Iss 4, Pp 356-363 (2024)
Objective: To examine impacts of a structured mentorship committee program on academic promotion and participant perceptions because impacts of formal mentorship programs for clinical faculty are unknown. Participants and Methods: This prospective co
Externí odkaz:
https://doaj.org/article/3fb9008c37fe4b26bd4c2031121a1e3f