Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Jeff M. Phillips"'
Publikováno v:
Knowledge and Information Systems. 65:1587-1609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed57b63db41e752905c0e5e38f3cd3b6
https://doi.org/10.1007/s10115-022-01802-5
https://doi.org/10.1007/s10115-022-01802-5
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:5741-5754
Increasingly, individuals and companies adopt a cloud service provider as a primary data and IT infrastructure platform. The remote access of the data inevitably brings the issue of trust. Data encryption is necessary to keep sensitive information se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9283de9ccb8fe57bb05ed224aea6aa46
https://doi.org/10.1109/tkde.2021.3060757
https://doi.org/10.1109/tkde.2021.3060757
How do we ensure the veracity of science? The act of manipulating or fabricating scientific data has led to many high-profile fraud cases and retractions. Detecting manipulated data, however, is a challenging and time-consuming endeavor. Automated de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eacf710698c2f4ea0b976ad77a9dd33e
https://doi.org/10.31219/osf.io/anj8v
https://doi.org/10.31219/osf.io/anj8v
Publikováno v:
Discrete & Computational Geometry
The Vapnik–Chervonenkis dimension provides a notion of complexity for systems of sets. If the VC dimension is small, then knowing this can drastically simplify fundamental computational tasks such as classification, range counting, and density esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ac9a815ab79cd7226ed6d04450ac6c
https://doi.org/10.1007/s00454-021-00318-z
https://doi.org/10.1007/s00454-021-00318-z
Publikováno v:
The VLDB Journal. 30:311-331
The available spatial data are rapidly growing and also diversifying. One may obtain in large quantities information such as annotated point/place of interest (POIs), check-in comments on those POIs, geo-tagged microblog comments, and demarked region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47d95180f35befd67c8a6ad9a58fb6f0
https://doi.org/10.1007/s00778-020-00647-0
https://doi.org/10.1007/s00778-020-00647-0
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering (ICDE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6e2fdfc9ead55384787cf2e262798b
https://doi.org/10.1109/icde53745.2022.00120
https://doi.org/10.1109/icde53745.2022.00120
Publikováno v:
AAAI
Word embeddings carry stereotypical connotations from the text they are trained on, which can lead to invalid inferences in downstream models that rely on them. We use this observation to design a mechanism for measuring stereotypes using the task of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759f69524bcafae65fc875d5651372ae
https://doi.org/10.1609/aaai.v34i05.6267
https://doi.org/10.1609/aaai.v34i05.6267
Publikováno v:
KDD
Word vector embeddings have been shown to contain and amplify biases in data they are extracted from. Consequently, many techniques have been proposed to identify, mitigate, and attenuate these biases in word representations. In this tutorial, we wil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af02afb78452dd6bb2bd53fc13d65a91
https://doi.org/10.1145/3447548.3470807
https://doi.org/10.1145/3447548.3470807
Publikováno v:
SIGMOD Conference
Thanks to the wide adoption of GPS-equipped devices, the volume of collected spatial data is exploding. To achieve interactive exploration and analysis over big spatial data, people are willing to trade off accuracy for performance through approximat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab4c2c1fb4c05d007186e58d4c57999d
https://doi.org/10.1145/3448016.3452806
https://doi.org/10.1145/3448016.3452806
Publikováno v:
SIGMOD Conference
In the era of big data, more and more applications require the information of historical data to support rich analytics, learning, and mining operations. In these cases, it is highly desirable to retrieve information of previous versions of data. Tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3dc9de76fd1881d0f4a44483dff7f11
https://doi.org/10.1145/3448016.3452802
https://doi.org/10.1145/3448016.3452802