Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Ross Maciejewski"'
Publikováno v:
Visual Informatics, Vol 5, Iss 1, Pp 14-22 (2021)
This article describes the research agenda for the Visual Analytics and Data Exploration Research (VADER) Lab at Arizona State University. Over the past decade, the VADER Lab has focused on creating novel algorithms, tools and visualizations for spat
Externí odkaz:
https://doaj.org/article/9867a569c6b24188b1da13d5016dc4c6
Autor:
Elizabeth A Mack, Edward Helderop, Kangjian Ma, Tony H Grubesic, John Mann, Scott Loveridge, Ross Maciejewski
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0250732 (2021)
To evaluate actions taken to implement the Telecommunications Act of 1996, the primary goal of which was to foster competition in the industry, the FCC created a standardized form (Form 477) to collect information about broadband deployment and compe
Externí odkaz:
https://doaj.org/article/aa2094cbe44e4df19f996b281214a1fd
Autor:
Yuxin Ma, Wei Chen, Xiaohong Ma, Jiayi Xu, Xinxin Huang, Ross Maciejewski, Anthony K. H. Tung
Publikováno v:
Computational Visual Media, Vol 3, Iss 2, Pp 161-175 (2017)
Abstract Support vector machines (SVMs) are supervised learning models traditionally employed for classification and regression analysis. In classification analysis, a set of training data is chosen, and each instance in the training data is assigned
Externí odkaz:
https://doaj.org/article/06b9924872884f7e960f23154e88a710
Publikováno v:
Urban Planning, Vol 2, Iss 1, Pp 19-30 (2017)
The Sky View Factor (SVF) is a dimension-reduced representation of urban form and one of the major variables in radiation models that estimate outdoor thermal comfort. Common ways of retrieving SVFs in urban environments include capturing fisheye pho
Externí odkaz:
https://doaj.org/article/038b1585d61c4f548fc12c0f6fae4557
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-15
Publikováno v:
Proceedings of the ACM Web Conference 2023.
With the widespread development of algorithmic fairness, there has been a surge of research interest that aims to generalize the fairness notions from the attributed data to the relational data (graphs). The vast majority of existing work considers t
Autor:
Robin G. C. Maack, Jonas Lukasczyk, Julien Tierny, Hans Hagen, Ross Maciejewski, Christoph Garth
This paper presents a well-scaling parallel algorithm for the computation of Morse-Smale (MS) segmentations, including the region separators and region boundaries. The segmentation of the domain into ascending and descending manifolds, solely defined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::120cf2766e294a18c6bf372e764c6e74
Autor:
Nicholas Ho, John Kevin Cava, John Vant, Ankita Shukla, Jake Miratsky, Pavan Turaga, Ross Maciejewski, Abhishek Singharoy
In this paper, we develop a formulation to utilize reinforcement learning and sampling-based robotics planning to derive low free energy transition pathways between two known states. Our formulation uses Jarzynski’s equality and the stiffspring app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51fec0f82d68126af5a08c8aa2221017
https://doi.org/10.1101/2022.10.04.510845
https://doi.org/10.1101/2022.10.04.510845
Autor:
Rui Zhang, Feng Wang, Paulo Shakarian, Ross Maciejewski, Jonas Lukasczyk, Elizabeth A. Mack, David S. Ebert
Publikováno v:
Transactions in GIS. 25:3188-3209
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.