Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Alessandra Mileo"'
Publikováno v:
Sensors, Vol 24, Iss 4, p 1308 (2024)
Research in field sports often involves analysis of running performance profiles of players during competitive games with individual, per-position, and time-related descriptive statistics. Data are acquired through wearable technologies, which genera
Externí odkaz:
https://doaj.org/article/a4e9ed800ac94064afcbfda4cece6233
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1711 (2023)
Advanced data augmentation techniques have demonstrated great success in deep learning algorithms. Among these techniques, single-image-based data augmentation (SIBDA), in which a single image’s regions are randomly erased in different ways, has sh
Externí odkaz:
https://doaj.org/article/1c0c2c08ae874a29953e31da08abf5da
Autor:
Dan Puiu, Payam Barnaghi, Ralf Tonjes, Daniel Kumper, Muhammad Intizar Ali, Alessandra Mileo, Josiane Xavier Parreira, Marten Fischer, Sefki Kolozali, Nazli Farajidavar, Feng Gao, Thorben Iggena, Thu-Le Pham, Cosmin-Septimiu Nechifor, Daniel Puschmann, Joao Fernandes
Publikováno v:
IEEE Access, Vol 4, Pp 1086-1108 (2016)
Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices ar
Externí odkaz:
https://doaj.org/article/0e24bb4d669b47378dbb690594bed768
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031236174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578cd32497169e508e0e67a57e7075d5
https://doi.org/10.1007/978-3-031-23618-1_22
https://doi.org/10.1007/978-3-031-23618-1_22
CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner
Autor:
Aphra Kerr, Arne Peters, Tony Belpaeme, Brian Davis, Marc Hesse, Annalina Capulto, John McDonald, Laurentiu Vasiliu, Michael Scriney, Keith Cortis, Rudi Villing, Adamantios Koumpis, Ross McDermott, Jens Hagemeyer, Sascha Griffiths, Alessandra Mileo
Publikováno v:
Paladyn: Journal of Behavioral Robotics, Vol 12, Iss 1, Pp 437-453 (2021)
PALADYN
PALADYN
This article explores the rapidly advancing innovation to endow robots with social intelligence capabilities in the form of multilingual and multimodal emotion recognition, and emotion-aware decision-making capabilities, for contextually appropriate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4333d13c0b323f762bebf235f1639d
https://doi.org/10.1515/pjbr-2021-0026
https://doi.org/10.1515/pjbr-2021-0026
Autor:
Vitor A. C. Horta, Alessandra Mileo
Publikováno v:
AIxIA 2021 – Advances in Artificial Intelligence ISBN: 9783031084201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f46742fd5ac13440e66d350a9455456
https://doi.org/10.1007/978-3-031-08421-8_37
https://doi.org/10.1007/978-3-031-08421-8_37
Publikováno v:
Horta, Vitor A.C., Tiddi, Ilaria ORCID: 0000-0001-7116-9338 , Little, Suzanne ORCID: 0000-0003-3281-3471 and Mileo, Alessandra ORCID: 0000-0002-6614-6462 (2021) Extracting knowledge from deep neural networks through graph analysis. Future Generation Computer Systems, 120 . pp. 109-118. ISSN 0167-739X
Horta, V A C, Tiddi, I, Little, S & Mileo, A 2021, ' Extracting knowledge from Deep Neural Networks through graph analysis ', Future Generation Computer Systems, vol. 120, pp. 109-118 . https://doi.org/10.1016/j.future.2021.02.009
Future Generation Computer Systems, 120, 109-118. Elsevier
Horta, V A C, Tiddi, I, Little, S & Mileo, A 2021, ' Extracting knowledge from Deep Neural Networks through graph analysis ', Future Generation Computer Systems, vol. 120, pp. 109-118 . https://doi.org/10.1016/j.future.2021.02.009
Future Generation Computer Systems, 120, 109-118. Elsevier
The popularity of deep learning has increased tremendously in recent years due to its ability to efficiently solve complex tasks in challenging areas such as computer vision and language processing. Despite this success, low-level neural activity rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b09c3eec415e4615e15df1d4e4933be
http://doras.dcu.ie/25855/
http://doras.dcu.ie/25855/
Autor:
Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca Lisi, Marco Maratea, Alessandra Mileo, Fabrizio Riguzzi
Publikováno v:
Electronic Proceedings in Theoretical Computer Science. 325
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f99317e01bbceae00d5391e0b4b8611d
https://doi.org/10.4204/eptcs.325.0
https://doi.org/10.4204/eptcs.325.0
Publikováno v:
Future Generation Computer Systems. 76:561-581
With the growing popularity of Internet of Things (IoT) technologies and sensors deployment, more and more cities are leaning towards smart cities solutions that can leverage this rich source of streaming data to gather knowledge that can be used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb79ca961f2abf7b6faac2e837b669f9
https://doi.org/10.1016/j.future.2017.03.002
https://doi.org/10.1016/j.future.2017.03.002
Publikováno v:
Semantic Web. 8(2):311-352
In recent years we have seen significant advances in the technology used to both publish and consume structured data using the existing web infrastructure, commonly referred to as the Linked Data Web. However, in order to support the next generation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b038664694c93a4eaa8e9d7fb91a53b
https://research.wu.ac.at/de/publications/c1b53ddc-c39c-4960-b67d-0f22e087f121
https://research.wu.ac.at/de/publications/c1b53ddc-c39c-4960-b67d-0f22e087f121