Zobrazeno 1 - 10
of 11
pro vyhledávání: '"François Schnitzler"'
Autor:
Suresh Kirthi Kumaraswamy, Alexey Ozerov, Ngoc Q. K. Duong, Anne Lambert, François Schnitzler, Patrick Fontaine
Publikováno v:
ESANN 2022 proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4503278c903692557b6f7638d5f0e14f
https://doi.org/10.14428/esann/2022.es2022-18
https://doi.org/10.14428/esann/2022.es2022-18
Publikováno v:
Computer Graphics Forum
Computer Graphics Forum, 2021, pp.1-32. ⟨10.1111/cgf.14426⟩
Computer Graphics Forum, Wiley, 2021, pp.1-32. ⟨10.1111/cgf.14426⟩
Computer Graphics Forum, 2021, pp.1-32. ⟨10.1111/cgf.14426⟩
Computer Graphics Forum, Wiley, 2021, pp.1-32. ⟨10.1111/cgf.14426⟩
Human character animation is often critical in entertainment content production, including video games, virtual reality or fiction films. To this end, deep neural networks drive most recent advances through deep learning and deep reinforcement learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a9376976e768ef4b454d5888a368c22
http://arxiv.org/abs/2110.06901
http://arxiv.org/abs/2110.06901
Autor:
Peter Dorfinger, Henrike Wissing, François Taïani, Krzysztof Rusek, Albert López, Bo Wu, Johannes Wegener, Martin Happ, Matthias Herlich, Miquel Ferriol-Galmés, Jia Lei Du, Albert Cabellos-Aparicio, Stefan Venz, Pere Barlet-Ros, François Schnitzler, Paul Almasan, Christoph Neumann, Christian Maier, David Pujol-Perich, Shihan Xiao, Guillermo Bernárdez, Loïck Bonniot, José Suárez-Varela, Nick Vincent Hainke
Publikováno v:
Computer Communication Review
Computer Communication Review, 2021, 51 (3), pp.9-16. ⟨10.1145/3477482.3477485⟩
Computer Communication Review, Association for Computing Machinery, 2021, 51 (3), pp.9-16. ⟨10.1145/3477482.3477485⟩
Web of Science
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Computer Communication Review, 2021, 51 (3), pp.9-16. ⟨10.1145/3477482.3477485⟩
Computer Communication Review, Association for Computing Machinery, 2021, 51 (3), pp.9-16. ⟨10.1145/3477482.3477485⟩
Web of Science
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in real-world deployments. This pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee89dcf4f9739b68ff8cf97b019c753f
https://inria.hal.science/hal-03346696/file/paper.pdf
https://inria.hal.science/hal-03346696/file/paper.pdf
Autor:
Alexey Ozerov, Antonios Liapis, Georgi Kostadinov, Georgios N. Yannakakis, Maritini Kalogerini, Rémi Mignot, Daniele Gravina, Ioannis Kompatsiaris, Birgit Gray, Danae Tsabouraki, Maurizio Montagnuolo, Symeon Papadopoulos, Jesse de Vos, François Schnitzler, Fulvio Negro, Artur Garcia-Saez, Filareti Tsalakanidou, Vasileios Mezaris, Philo van Kemenade
Publikováno v:
IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.81-93, ⟨10.1007/978-3-030-79150-6_7⟩
IFIP Advances in Information and Communication Technology-Artificial Intelligence Applications and Innovations
Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.81-93, ⟨10.1007/978-3-030-79150-6_7⟩
IFIP Advances in Information and Communication Technology-Artificial Intelligence Applications and Innovations
Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
Part 3: AI Impacts/Big Data; International audience; Artificial Intelligence brings exciting innovations in all aspects of life and creates new opportunities across industry sectors. At the same time, it raises significant questions in terms of trust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a06f259002e64f6e2540cf0163d4f06d
https://hal.inria.fr/hal-03287684
https://hal.inria.fr/hal-03287684
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030676575
ECML/PKDD (1)
ECML/PKDD (1)
We introduce two methods enabling recurrent neural networks (RNNs) to trade off accuracy for computational cost during the analysis of a sequence. This opens up the possibility to adapt RNNs in real time to changing computational constraints, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d5e0c4b46e66369995a3a136bbec06f
https://doi.org/10.1007/978-3-030-67658-2_40
https://doi.org/10.1007/978-3-030-67658-2_40
Publikováno v:
Information Systems. 64:266-280
Urban mobility impacts urban life to a great extent. To enhance urban mobility, much research was invested in traveling time prediction: given an origin and destination, provide a passenger with an accurate estimation of how long a journey lasts. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8f53e50c42cc67d87b2a77f7d9f8f8
https://doi.org/10.1016/j.is.2015.12.001
https://doi.org/10.1016/j.is.2015.12.001
Publikováno v:
ICDM
Accounts are often shared by multiple users, eachof them having different item consumption and temporal habits. Identifying of the active user can lead to improvements ina variety of services by switching from account personalizedservices to user per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c92a1e71f70422d8579ea5d5583ef2d
https://doi.org/10.1109/icdm.2016.0126
https://doi.org/10.1109/icdm.2016.0126
Autor:
Dermot Kinane, Stephen Lynch, Jakub Marecek, Elizabeth M. Daly, Nikolaos Panagiotou, Ioannis Katakis, Vana Kalogeraki, Hendrik Stange, Katharina Morik, Nikos Zacheilas, Brendan O'Brien, Jia Yuan Yu, Christian Bockermann, Ioannis Boutsis, François Schnitzler, Rudi Verago, Werner Halft, Thomas Liebig, Shie Mannor, Dimitrios Gunopulos, Avigdor Gal, Nico Piatkowski, Matthias Weidlich, Nikolas Zygouras, Gennady Andrienko
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319461304
ECML/PKDD (3)
ECML/PKDD (3)
In this demo we present INSIGHT, a system that provides traffic event detection in Dublin by exploiting Big Data and Crowdsourcing techniques. Our system is able to process and analyze input from multiple heterogeneous urban data sources.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::242df0e2247ef1b9975f2b66a8a27779
https://doi.org/10.1007/978-3-319-46131-1_5
https://doi.org/10.1007/978-3-319-46131-1_5
Publikováno v:
RecSys
Real-time traffic awareness applications are playing an ever increasing role understanding and tackling traffic congestion in cities. First-hand accounts from drivers witnessing an incident is an invaluable source of information for traffic managers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e14074ed8f2e987d554699c807eaa00
https://doi.org/10.1145/2792838.2799673
https://doi.org/10.1145/2792838.2799673
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642238079
ECML/PKDD (3)
ECML/PKDD (3)
We consider algorithms for generating Mixtures of Bagged Markov Trees, for density estimation. In problems defined over many variables and when few observations are available, those mixtures generally outperform a single Markov tree maximizing the da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a54b50025e33042372eb5f73baaddd9f
https://doi.org/10.1007/978-3-642-23808-6_8
https://doi.org/10.1007/978-3-642-23808-6_8