Zobrazeno 1 - 10
of 706
pro vyhledávání: '"Janowicz, P."'
Autor:
Stephen, Shirly, Faulk, Mitchell, Janowicz, Krzysztof, Fisher, Colby, Thelen, Thomas, Zhu, Rui, Hitzler, Pascal, Shimizu, Cogan, Currier, Kitty, Schildhauer, Mark, Rehberger, Dean, Wang, Zhangyu, Christou, Antrea
Geospatial Knowledge Graphs (GeoKGs) have become integral to the growing field of Geospatial Artificial Intelligence. Initiatives like the U.S. National Science Foundation's Open Knowledge Network program aim to create an ecosystem of nation-scale, c
Externí odkaz:
http://arxiv.org/abs/2410.14808
Autor:
Shimizu, Cogan, Stephe, Shirly, Barua, Adrita, Cai, Ling, Christou, Antrea, Currier, Kitty, Dalal, Abhilekha, Fisher, Colby K., Hitzler, Pascal, Janowicz, Krzysztof, Li, Wenwen, Liu, Zilong, Mahdavinejad, Mohammad Saeid, Mai, Gengchen, Rehberger, Dean, Schildhauer, Mark, Shi, Meilin, Norouzi, Sanaz Saki, Tian, Yuanyuan, Wang, Sizhe, Wang, Zhangyu, Zalewski, Joseph, Zhou, Lu, Zhu, Rui
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, cr
Externí odkaz:
http://arxiv.org/abs/2410.13948
Regional defaults describe the emerging phenomenon that text-to-image (T2I) foundation models used in generative AI are prone to over-proportionally depicting certain geographic regions to the exclusion of others. In this work, we introduce a scalabl
Externí odkaz:
http://arxiv.org/abs/2410.17255
Intuitively, there is a relation between measures of spatial dependence and information theoretical measures of entropy. For instance, we can provide an intuition of why spatial data is special by stating that, on average, spatial data samples contai
Externí odkaz:
http://arxiv.org/abs/2405.18459
A wide range of (multivariate) temporal (1D) and spatial (2D) data analysis tasks, such as grouping vehicle sensor trajectories, can be formulated as clustering with given metric constraints. Existing metric-constrained clustering algorithms overlook
Externí odkaz:
http://arxiv.org/abs/2405.18395
Generative AI based on foundation models provides a first glimpse into the world represented by machines trained on vast amounts of multimodal data ingested by these models during training. If we consider the resulting models as knowledge bases in th
Externí odkaz:
http://arxiv.org/abs/2404.07612
Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so has the popularity of deep learning from trajectory data. This review pa
Externí odkaz:
http://arxiv.org/abs/2402.00732
Autor:
Liu, Zilong, Janowicz, Krzysztof, Currier, Kitty, Shi, Meilin, Rao, Jinmeng, Gao, Song, Cai, Ling, Graser, Anita
While the paths humans take play out in social as well as physical space, measures to describe and compare their trajectories are carried out in abstract, typically Euclidean, space. When these measures are applied to trajectories of actual individua
Externí odkaz:
http://arxiv.org/abs/2312.01151
Concerns about data privacy are omnipresent, given the increasing usage of digital applications and their underlying business model that includes selling user data. Location data is particularly sensitive since they allow us to infer activity pattern
Externí odkaz:
http://arxiv.org/abs/2310.17643
Autor:
Magdalena Zaborowska-Szmit, Sebastian Szmit, Marta Olszyna-Serementa, Katarzyna Zajda, Anna Janowicz-Żebrowska, Piotr Jaśkiewicz, Dariusz M. Kowalski, Maciej Krzakowski
Publikováno v:
Cardio-Oncology, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Background Venous thromboembolic events (VTE) are often diagnosed in ALK-positive lung cancer although it has not been demonstrated how their co-occurrence affects patients' survival. Methods The study included patients with ALK-positive lun
Externí odkaz:
https://doaj.org/article/a856c97950ee4695991a974a13a48d93
