Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sathya Bursic"'
Autor:
Dimitri Ognibene, Rodrigo Wilkens, Davide Taibi, Davinia Hernández-Leo, Udo Kruschwitz, Gregor Donabauer, Emily Theophilou, Francesco Lomonaco, Sathya Bursic, Rene Alejandro Lobo, J. Roberto Sánchez-Reina, Lidia Scifo, Veronica Schwarze, Johanna Börsting, Ulrich Hoppe, Farbod Aprin, Nils Malzahn, Sabrina Eimler
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2023)
Social media have become an integral part of our lives, expanding our interlinking capabilities to new levels. There is plenty to be said about their positive effects. On the other hand, however, some serious negative implications of social media hav
Externí odkaz:
https://doaj.org/article/98d1030df0a8409c83117af18c646005
Publikováno v:
Sensors, Vol 23, Iss 3, p 1262 (2023)
A principled approach to the analysis of eye movements for behavioural biometrics is laid down. The approach grounds in foraging theory, which provides a sound basis to capture the uniqueness of individual eye movement behaviour. We propose a composi
Externí odkaz:
https://doaj.org/article/ea61ad2239ec417fa3deeb4806dbf209
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 4002 (2020)
When automatic facial expression recognition is applied to video sequences of speaking subjects, the recognition accuracy has been noted to be lower than with video sequences of still subjects. This effect known as the speaking effect arises during s
Externí odkaz:
https://doaj.org/article/95fdd339fb8b4b09bb9e9f032d7369d5
Autor:
Md Hafizur Rahman, Mir Kanon Ara Jannat, Md Shafiqul Islam, Giuliano Grossi, Sathya Bursic, Md Aktaruzzaman
Publikováno v:
Smart Health. 28:100382
Autor:
Giuseppe Boccignone, Sathya Bursic, Vittorio Cuculo, Alessandro D’Amelio, Giuliano Grossi, Raffaella Lanzarotti, Sabrina Patania
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7136bb43c19fc320fdac21d1a52b8d23
https://hdl.handle.net/11380/1300654
https://hdl.handle.net/11380/1300654
Publikováno v:
ICPR
We live in an era of privacy concerns, motivating a large research effort in face de-identification. As in other fields, we are observing a general movement from hand-crafted to deep learning methods, mainly involving generative models. Although thes
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030549930
FM Workshops (1)
FM Workshops (1)
Computer systems have grown in complexity to the point where manual inspection of system behaviour for purposes of malfunction detection have become unfeasible. As these systems output voluminous logs of their activity, machine led analysis of them i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace9f50fc6e3970214dd444d616ffcb4
https://hdl.handle.net/11380/1300648
https://hdl.handle.net/11380/1300648
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030549930
FM Workshops (1)
FM Workshops (1)
In this work we address the problem of gender recognition from facial images acquired in the wild. This problem is particularly difficult due to the presence of variations in pose, ethnicity, age and image quality. Moreover, we consider the special c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d21e572afe6291aff1788651f3d265b
https://doi.org/10.1007/978-3-030-54994-7_12
https://doi.org/10.1007/978-3-030-54994-7_12
Publikováno v:
Sensors, Vol 23, Iss 6, p 2885 (2023)
A core endeavour in current affective computing and social signal processing research is the construction of datasets embedding suitable ground truths to foster machine learning methods. This practice brings up hitherto overlooked intricacies. In thi
Externí odkaz:
https://doaj.org/article/d4ac5618e0ca4fe4a88ad04754ff5b91