Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Levacher, Killian"'
Autor:
Baxevanakis, Spyridon, Kordopatis-Zilos, Giorgos, Galopoulos, Panagiotis, Apostolidis, Lazaros, Levacher, Killian, Schlicht, Ipek B., Teyssou, Denis, Kompatsiaris, Ioannis, Papadopoulos, Symeon
Enabled by recent improvements in generation methodologies, DeepFakes have become mainstream due to their increasingly better visual quality, the increase in easy-to-use generation tools and the rapid dissemination through social media. This fact pos
Externí odkaz:
http://arxiv.org/abs/2204.12816
Deep Generative Models (DGMs) are a popular class of deep learning models which find widespread use because of their ability to synthesize data from complex, high-dimensional manifolds. However, even with their increasing industrial adoption, they ha
Externí odkaz:
http://arxiv.org/abs/2108.01644
Since its conception in 2006, differential privacy has emerged as the de-facto standard in data privacy, owing to its robust mathematical guarantees, generalised applicability and rich body of literature. Over the years, researchers have studied diff
Externí odkaz:
http://arxiv.org/abs/1907.02444
Text segmentation (TS) aims at dividing long text into coherent segments which reflect the subtopic structure of the text. It is beneficial to many natural language processing tasks, such as Information Retrieval (IR) and document summarisation. Curr
Externí odkaz:
http://arxiv.org/abs/1511.08411
Deep Generative Models (DGMs) allow users to synthesize data from complex, high-dimensional manifolds. Industry applications of DGMs in- clude data augmentation to boost performance of (semi-)supervised ma- chine learning, or to mitigate fairness or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::282391ac282688e1c7170d4007559d48
Publikováno v:
Medinfo; 2019, p1140-1144, 5p
Autor:
WADE, VINCENT PATRICK, LAWLESS, SEAMUS, O'CONNOR, ALEXANDER, HYNES, EAMONN OLIVER, LEVACHER, KILLIAN
PUBLISHED
Torino, Italy
A key impediment for enabling the mainstream adoption of Adaptive Hypermedia for web applications and corporate websites is the di#30;culty in repurposing existing content for such delivery systems. This paper propos
Torino, Italy
A key impediment for enabling the mainstream adoption of Adaptive Hypermedia for web applications and corporate websites is the di#30;culty in repurposing existing content for such delivery systems. This paper propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::df9efae6f3e9744e533d34aa952629bd
http://hdl.handle.net/2262/31566
http://hdl.handle.net/2262/31566
Towards Evaluating the Impact of Anaphora Resolution on Text Summarisation from a Human Perspective.
Autor:
Bayomi, Mostafa, Levacher, Killian, Ghorab, M. Rami, Lavin, Peter, O'Connor, Alexander, Lawless, Séamus
Publikováno v:
Natural Language Processing & Information Systems (9783319417530); 2016, p187-199, 13p
Akademický článek
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Publikováno v:
Proceedings of the 21st ACM International Conference Information & Knowledge Management; 10/29/2012, p2403-2406, 4p