Zobrazeno 1 - 9
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pro vyhledávání: '"Longo, Luca"'
Publikováno v:
Conference papers
Variational Autoencoders (VAEs) constitute one of the most significant deep generative models for the creation of synthetic samples. In the field of audio synthesis, VAEs have been widely used for the generation of natural and expressive sounds, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1e44f97b4de70a7949e2f4780d32ded
Publikováno v:
Conference papers
Feature selection plays an important role in machine learning or data mining problems. Removing irrelevant features increases model accuracy and reduces the computational cost. However, selecting important features is not a simple task as one feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1248::d3fc53505bbc679833a8918237012ddb
https://arrow.tudublin.ie/context/scschcomcon/article/1410/viewcontent/An_ontological_approach_for_recommending_a_feature_selection_algorithm_for_publisher.pdf
https://arrow.tudublin.ie/context/scschcomcon/article/1410/viewcontent/An_ontological_approach_for_recommending_a_feature_selection_algorithm_for_publisher.pdf
Publikováno v:
Conference papers
The effective functioning of data-intensive applications usually requires that the dataset should be of high quality. The quality depends on the task they will be used for. However, it is possible to identify task-independent data quality dimensions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b99ff6b93796ee25193caf73f431af1
Autor:
Longo, Luca, Leva, Maria Chiara
Publikováno v:
H-Workload 2019: Models & Applications: Works in Progress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1248::0172219aa201b807c31597796fe8dad6
https://arrow.tudublin.ie/hwork19/1
https://arrow.tudublin.ie/hwork19/1
Autor:
Longo, Luca, Leva, Maria Chiara
Publikováno v:
H-Workload 2018: Models and Applications (Works in Progress)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::805ea9fa52f8cbbb3b74164415f0f721
Autor:
Dondio, Pierpaolo, Longo, Luca
Publikováno v:
Conference papers
In this paper we discuss how the in dubio pro reo principle and the corresponding standard of proof beyond reasonable doubt can be modelled in abstract argumentation. The in dubio pro reo principle protects arguments against attacks from doubtful arg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a53b9be5e5a8a9d722e64df37785049e
Publikováno v:
Conference papers
Scopus-Elsevier
BASE-Bielefeld Academic Search Engine
Scopus-Elsevier
BASE-Bielefeld Academic Search Engine
Recent increases in the use and availability of short messages have created opportunities to harvest vast amounts of information through machine-based classification. However, traditional classification methods have failed to yield accuracies compara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a60843bf6d89a447b37269081453169
Autor:
Longo, Luca
Publikováno v:
Articles
PLoS ONE
PLoS ONE, Vol 13, Iss 8, p e0199661 (2018)
PLoS ONE
PLoS ONE, Vol 13, Iss 8, p e0199661 (2018)
Past research in HCI has generated a number of procedures for assessing the usability of interacting systems. In these procedures there is a tendency to omit characteristics of the users, aspects of the context and peculiarities of the tasks. Buildin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5ec7772d0bf5a979259abcf949debc
https://arrow.tudublin.ie/context/scschcomart/article/1067/viewcontent/LucaExperi.pdf
https://arrow.tudublin.ie/context/scschcomart/article/1067/viewcontent/LucaExperi.pdf
Publikováno v:
Conference papers
Digital systems have been rapidly evolving within highly dynamic and unstructured environments, where the lack of a central authority forces entities to interact with each other through collaboration and negotiation. Digital agents often use Trust mo