Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Amalia F. Foka"'
Autor:
Amalia F. Foka
Publikováno v:
Leonardo. 55:24-29
The author demonstrates a methodology for constructing a network map of the artworld. She uses tweets posted by a manually composed set of exemplar artworld actors and Natural Language Processing (NLP) methods to identify significant artworld actors,
Autor:
Amalia F. Foka
Publikováno v:
EVA
One of the contributing factors to the continuing debate among art historians over the use of computational methods in art history research is that they do not consider the core of today's art history research questions. The lack of close collaborati
Autor:
Amalia F. Foka
Publikováno v:
Information Retrieval Journal. 21:410-448
Currently users on social media post their opinion and feelings about almost everything. This online behavior has led to numerous applications where social media data are used to measure public opinion in a similar way as a poll or a survey. In this
Autor:
Amalia F. Foka
Publikováno v:
ARTECH
The Invisible Structures of the Artworld draws inspiration from the contemporary artworld processes through which artists and artworks are appreciated and gain recognition as well as the fact that the artworld structure at any given time is not entir
Autor:
Konstantina Tsekoura, Amalia F. Foka
Publikováno v:
Expert Systems with Applications. 159:113507
In this paper, we present the classification of electroencephalograph (EEG) signals produced by the first-octave musical notes of the piano as stimuli. The EEG classification of musical notes is attempted for the first time, to the best of our knowle
Autor:
Amalia F. Foka, Panos Trahanias
Publikováno v:
International Journal of Social Robotics. 2:79-94
This paper considers the problem of autonomous robot navigation in dynamic and congested environments. The predictive navigation paradigm is proposed where probabilistic planning is integrated with obstacle avoidance along with future motion predicti
Autor:
Panos Trahanias, Amalia F. Foka
Publikováno v:
IROS
This paper considers the problem of a robot navigating in a crowded or congested environment. A robot operating in such an environment can get easily blocked by moving humans and other objects. To deal with this problem it is proposed to attempt to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad49ded1036fc2f7f323be674242705
https://doi.org/10.12681/eadd/15018
https://doi.org/10.12681/eadd/15018
Publikováno v:
ELMAR 2007.
Time series prediction involves the determination of an appropriate model, which can encapsulate the dynamics of the system, described by the sample data. Previous work has demonstrated the potential of neural networks in predicting the behaviour of
Autor:
Amalia F. Foka, Panos Trahanias
Publikováno v:
Scopus-Elsevier
This paper proposes a new hierarchical formulation of POMDPs for autonomous robot navigation that can be solved in real-time, and is memory efficient. It will be referred to in this paper as the Robot Navigation-Hierarchical POMDP (RN-HPOMDP). The RN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ddc4f2d3534a31b85e130a1ff76957a
http://www.scopus.com/inward/record.url?eid=2-s2.0-84883096093&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84883096093&partnerID=MN8TOARS