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pro vyhledávání: '"Norman, W P"'
Embeddings are now used to underpin a wide variety of data management tasks, including entity resolution, dataset search and semantic type detection. Such applications often involve datasets with numerical columns, but there has been more emphasis pl
Externí odkaz:
http://arxiv.org/abs/2410.07485
Deep clustering (DC), a fusion of deep representation learning and clustering, has recently demonstrated positive results in data science, particularly text processing and computer vision. However, joint optimization of feature learning and data dist
Externí odkaz:
http://arxiv.org/abs/2405.17723
Deep Learning (DL) techniques now constitute the state-of-the-art for important problems in areas such as text and image processing, and there have been impactful results that deploy DL in several data management tasks. Deep Clustering (DC) has recen
Externí odkaz:
http://arxiv.org/abs/2305.13494
Publikováno v:
Conservation, Vol 4, Iss 2, Pp 288-306 (2024)
Predicting the willingness of people to engage in passive surveillance is crucial to the success of community-based efforts to manage invasive species and conserve native biodiversity. We draw on the marketing concept of involvement, which reflects t
Externí odkaz:
https://doaj.org/article/60ca0410a54845cca3a37bf6449edc75
A data lake is a repository of data with potential for future analysis. However, both discovering what data is in a data lake and exploring related data sets can take significant effort, as a data lake can contain an intimidating amount of heterogene
Externí odkaz:
http://arxiv.org/abs/2206.03881
Publikováno v:
The Journal of ExtraCorporeal Technology, Vol 56, Iss 1, Pp 2-9 (2024)
Background: Access to quality healthcare education across the world is disproportionate. This study explores the potential for Cardiovascular Perfusion education to be delivered online to reach international students. Methods: Exploratory mixed metho
Externí odkaz:
https://doaj.org/article/8921a153b5da4ccab15bfe1138fbabcd
Autor:
Nicola Toschi, Andrea Duggento, Riccardo Barbieri, Ronald G. Garcia, Harrison P. Fisher, Norman W. Kettner, Vitaly Napadow, Roberta Sclocco
Publikováno v:
Brain Stimulation, Vol 16, Iss 6, Pp 1557-1565 (2023)
Background: The autonomic response to transcutaneous auricular vagus nerve stimulation (taVNS) has been linked to the engagement of brainstem circuitry modulating autonomic outflow. However, the physiological mechanisms supporting such efferent vagal
Externí odkaz:
https://doaj.org/article/17de2a2dda5140aa8ef1723558545c8e
Publikováno v:
2020 IEEE 36th International Conference on Data Engineering (ICDE)
Data analytics stands to benefit from the increasing availability of datasets that are held without their conceptual relationships being explicitly known. When collected, these datasets form a data lake from which, by processes like data wrangling, s
Externí odkaz:
http://arxiv.org/abs/2011.10427
Publikováno v:
2021 IEEE 37th International Conference on Data Engineering (ICDE)
Accurately identifying different representations of the same real-world entity is an integral part of data cleaning and many methods have been proposed to accomplish it. The challenges of this entity resolution task that demand so much research atten
Externí odkaz:
http://arxiv.org/abs/2011.10406
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