Zobrazeno 1 - 10
of 90
pro vyhledávání: '"CHAPMAN, ADRIANE"'
Autor:
Ragab, Mohamed, Savateev, Yury, Wang, Wenjie, Moosaei, Reza, Tiropanis, Thanassis, Poulovassilis, Alexandra, Chapman, Adriane, Oliver, Helen, Roussos, George
The DESERE Workshop, our First Workshop on Decentralised Search and Recommendation, offers a platform for researchers to explore and share innovative ideas on decentralised web services, mainly focusing on three major topics: (i) societal impact of d
Externí odkaz:
http://arxiv.org/abs/2403.07732
Publikováno v:
ACM Transactions on Database Systems, 2024
Successful data-driven science requires complex data engineering pipelines to clean, transform, and alter data in preparation for machine learning, and robust results can only be achieved when each step in the pipeline can be justified, and its effec
Externí odkaz:
http://arxiv.org/abs/2310.18079
The Anonymisation Decision-making Framework (ADF) operationalizes the risk management of data exchange between organizations, referred to as "data environments". The second edition of ADF has increased its emphasis on modeling data flows, highlightin
Externí odkaz:
http://arxiv.org/abs/2107.09966
Supervised machine learning has several drawbacks that make it difficult to use in many situations. Drawbacks include: heavy reliance on massive training data, limited generalizability and poor expressiveness of high-level semantics. Low-shot Learnin
Externí odkaz:
http://arxiv.org/abs/2106.06410
Data metrology -- the assessment of the quality of data -- particularly in scientific and industrial settings, has emerged as an important requirement for the UK National Physical Laboratory (NPL) and other national metrology institutes. Data provena
Externí odkaz:
http://arxiv.org/abs/2102.08228
Autor:
Hu, Yang, Wen, Guihua, Chapman, Adriane, Yang, Pei, Luo, Mingnan, Xu, Yingxue, Dai, Dan, Hall, Wendy
Publikováno v:
[J]. IEEE Transactions on Multimedia, 2021
Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling capabilities to the ZSL task, its visual features have severe pattern
Externí odkaz:
http://arxiv.org/abs/2006.04648
Autor:
Chapman, Adriane1 (AUTHOR) Adriane.Chapman@soton.ac.uk, Lauro, Luca2 (AUTHOR) luca.lauro@uniroma3.it, Missier, Paolo3 (AUTHOR) paolo.missier@ncl.ac.uk, Torlone, Riccardo4 (AUTHOR) riccardo.torlone@uniroma3.it
Publikováno v:
ACM Transactions on Database Systems. Jun2024, Vol. 49 Issue 2, p1-42. 42p.
Autor:
Chapman, Adriane, Simperl, Elena, Koesten, Laura, Konstantinidis, George, Ibáñez-Gonzalez, Luis-Daniel, Kacprzak, Emilia, Groth, Paul
Generating value from data requires the ability to find, access and make sense of datasets. There are many efforts underway to encourage data sharing and reuse, from scientific publishers asking authors to submit data alongside manuscripts to data ma
Externí odkaz:
http://arxiv.org/abs/1901.00735
Autor:
Johnson, Michael A. C., Gandhi, Poshak, Chapman, Adriane P., Moreau, Luc, Charles, Philip A., Clarkson, William I., Hill, Adam B.
The Large Synoptic Survey Telescope (LSST) will provide for unbiased sampling of variability properties of objects with $r$ mag $<$ 24. This should allow for those objects whose variations reveal their orbital periods ($P_{orb}$), such as low mass X-
Externí odkaz:
http://arxiv.org/abs/1809.09141
Autor:
Rigley, Eryn1 (AUTHOR) e.rigley@soton.ac.uk, Chapman, Adriane1 (AUTHOR) e.rigley@soton.ac.uk, Evers, Christine1 (AUTHOR), McNeill, Will1 (AUTHOR)
Publikováno v:
AI. Dec2023, Vol. 4 Issue 4, p844-874. 31p.