Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Masulli Paolo"'
Autor:
Andréen Lisa, Galazka Martyna, Hadjikhani Nouchine, Jeuris Steven, Masulli Paolo, Johnels Jakob Åsberg
Publikováno v:
Psychology of Language and Communication, Vol 25, Iss 1, Pp 240-263 (2021)
Many individuals with autism report that eye contact makes them stressed or uncomfortable. Besides expressing their right to respect for neurodiverse ways of nonverbal communication, some autistic individuals also express the wish to improve their ca
Externí odkaz:
https://doaj.org/article/5ba8d346f7eb450bbc0eff487a0d4e3e
Autor:
Masulli, Paolo, Galazka, Martyna, Eberhard, David, Johnels, Jakob Åsberg, Gillberg, Christopher, Billstedt, Eva, Hadjikhani, Nouchine, Andersen, Tobias S.
Publikováno v:
In Cortex February 2022 147:9-23
Publikováno v:
SpringerPlus (2016) 5(1), 1-12
We introduce new algebro-topological invariants of directed networks, based on the topological construction of the directed clique complex. The shape of the underlying directed graph is encoded in a way that can be studied mathematically to obtain ne
Externí odkaz:
http://arxiv.org/abs/1510.00660
We define the notion of a formal connection for a smooth family of star products with fixed underlying symplectic structure. Such a formal connection allows one to relate star products at different points in the family. This generalizes the formal Hi
Externí odkaz:
http://arxiv.org/abs/1410.1641
Akademický článek
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Akademický článek
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Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030863791
ICANN (4)
ICANN (4)
Deep Reinforcement Learning is known to be brittle towards selection of appropriate hyperparameters. In particular, the selection of the structure of employed Deep Neural Networks has shown to be important and overfitting has become a common problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7875df553c7112c99369928bb069122
https://doi.org/10.1007/978-3-030-86380-7_52
https://doi.org/10.1007/978-3-030-86380-7_52
Autor:
Zhu, B., Hofstee, H.P., Lee, Jinho, Al-Ars, Z., Farkaš, Igor, Masulli, Paolo, Otte, Sebastian, Wermter, Stefan
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2021-30th International Conference on Artificial Neural Networks, Proceedings, 12891
Lecture Notes in Computer Science ISBN: 9783030863616
ICANN (1)
Lecture Notes in Computer Science ISBN: 9783030863616
ICANN (1)
Attention mechanism has been regarded as an advanced technique to capture long-range feature interactions and to boost the representation capability for convolutional neural networks. However, we found two ignored problems in current attentional acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a9ff146f3829f43586dd4f63f489b84
http://resolver.tudelft.nl/uuid:85860c53-ee90-4dbc-92c6-75f3e10a1bb6
http://resolver.tudelft.nl/uuid:85860c53-ee90-4dbc-92c6-75f3e10a1bb6
Autor:
Limberg, Christian, Göpfert, Jan Philip, Wersing, Heiko, Ritter, Helge, Farkaš, Igor, Masulli, Paolo, Wermter, Stefan
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616151
ICANN (2)
ICANN (2)
Algorithms in machine learning commonly require training data to be independent and identically distributed. This assumption is not always valid, e. g. in online learning, when data becomes available in homogeneously labeled blocks, which can severel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da057c32789e930b4389b632fb347180
https://doi.org/10.1007/978-3-030-61616-8_17
https://doi.org/10.1007/978-3-030-61616-8_17
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616151
ICANN (2)
ICANN (2)
When a robot perceives its environment, it is not only important to know what kind of objects are present in it, but also how they relate to each other. For example in a cleanup task in a cluttered environment, a sensible strategy is to pick the obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f0a9e41420cabadbcab1834f80da42a
https://doi.org/10.1007/978-3-030-61616-8_44
https://doi.org/10.1007/978-3-030-61616-8_44