Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Zaretzki, Russell"'
Autor:
Ma, Yuxing, Dey, Tapajit, Bogart, Chris, Amreen, Sadika, Valiev, Marat, Tutko, Adam, Kennard, David, Zaretzki, Russell, Mockus, Audris
Open source software (OSS) is essential for modern society and, while substantial research has been done on individual (typically central) projects, only a limited understanding of the periphery of the entire OSS ecosystem exists. For example, how ar
Externí odkaz:
http://arxiv.org/abs/2010.16196
Publikováno v:
In Information Sciences June 2023 629:599-617
Graphs of developer networks are important for software engineering research and practice. For these graphs to realistically represent the networks, accurate developer identities are imperative. We aim to identify developer identity errors from open
Externí odkaz:
http://arxiv.org/abs/1901.03363
This paper proposes a new probabilistic energy-based method to determine the optimal installation location of electronically-interfaced resources (EIRs) considering dynamic reinforcement under wind variability in systems with high penetration of wind
Externí odkaz:
http://arxiv.org/abs/1802.04354
Likelihood-based methods of statistical inference provide a useful general methodology that is appealing, as a straightforward asymptotic theory can be applied for their implementation. It is important to assess the relationships between different li
Externí odkaz:
http://arxiv.org/abs/1503.05890
In this paper, a color transfer framework to evoke different emotions for images based on color combinations is proposed. The purpose of this color transfer is to change the "look and feel" of images, i.e., evoking different emotions. Colors are conf
Externí odkaz:
http://arxiv.org/abs/1307.3581
Autor:
Armagan, Artin, Zaretzki, Russell
We introduce a new shrinkage variable selection operator for linear models which we term the \emph{adaptive ridge selector} (ARiS). This approach is inspired by the \emph{relevance vector machine} (RVM), which uses a Bayesian hierarchical linear setu
Externí odkaz:
http://arxiv.org/abs/0803.2173
This paper explores Bayesian inference for a biased sampling model in situations where the population of interest cannot be sampled directly, but rather through an indirect and inherently biased method. Observations are viewed as being the result of
Externí odkaz:
http://arxiv.org/abs/0711.3765
Autor:
Armagan, Artin, Zaretzki, Russell L.
Withdrawn due to extensions and submission as another paper.
Externí odkaz:
http://arxiv.org/abs/0711.3657
Publikováno v:
Europhys. Lett. vol. 74, pp. 1116-1122 (2006)
We monitor the stick-slip displacements of a very slowly driven moveable perforated top plate which interacts via shearing with a packing of identical glass beads confined in a tray. When driven at a constant stress rate, the distributions of large e
Externí odkaz:
http://arxiv.org/abs/0706.3136