Zobrazeno 1 - 10
of 370
pro vyhledávání: '"FRANCO, LUCA"'
Autor:
Bakos, Evelin, Boterenbrood, Henk, Dönszelmann, Mark, Egli, Florian, Franco, Luca, Gottardo, Carlo A., Habraken, René, König, Adriaan, Pellegrino, Antonio, Valderanis, Chrysostomos, Vermeulen, Jos, Wijnen, Thei, Wu, Mengqing
The ATLAS Muon Drift Tube (MDT) ReadOut Drivers (MROD), 204 VME modules that are an essential part of the readout chain of the 1,150 MDT chambers, have been in operation for more than 15 years and are expected to remain in operation until about 2026.
Externí odkaz:
http://arxiv.org/abs/2411.07709
Hyperbolic embeddings have demonstrated their effectiveness in capturing measures of uncertainty and hierarchical relationships across various deep-learning tasks, including image segmentation and active learning. However, their application in modern
Externí odkaz:
http://arxiv.org/abs/2408.05097
Autor:
Franco, Luca, Mandica, Paolo, Kallidromitis, Konstantinos, Guillory, Devin, Li, Yu-Teng, Darrell, Trevor, Galasso, Fabio
We introduce a hyperbolic neural network approach to pixel-level active learning for semantic segmentation. Analysis of the data statistics leads to a novel interpretation of the hyperbolic radius as an indicator of data scarcity. In HALO (Hyperbolic
Externí odkaz:
http://arxiv.org/abs/2306.11180
Self-paced learning has been beneficial for tasks where some initial knowledge is available, such as weakly supervised learning and domain adaptation, to select and order the training sample sequence, from easy to complex. However its applicability r
Externí odkaz:
http://arxiv.org/abs/2303.06242
Publikováno v:
Earth and Planetary Science Letters, Volume 598 (2022), 117825
Earthquake forecasting and prediction have long and in some cases sordid histories but recent work has rekindled interest based on advances in early warning, hazard assessment for induced seismicity and successful prediction of laboratory earthquakes
Externí odkaz:
http://arxiv.org/abs/2203.13313
Autor:
Franco, Luca, Placidi, Leonardo, Giuliari, Francesco, Hasan, Irtiza, Cristani, Marco, Galasso, Fabio
Transformer Networks have established themselves as the de-facto state-of-the-art for trajectory forecasting but there is currently no systematic study on their capability to model the motion patterns of people, without interactions with other indivi
Externí odkaz:
http://arxiv.org/abs/2203.11878
Human pose forecasting is a complex structured-data sequence-modelling task, which has received increasing attention, also due to numerous potential applications. Research has mainly addressed the temporal dimension as time series and the interaction
Externí odkaz:
http://arxiv.org/abs/2110.04573
Autor:
Franco, Luca, Placidi, Leonardo, Giuliari, Francesco, Hasan, Irtiza, Cristani, Marco, Galasso, Fabio
Publikováno v:
In Pattern Recognition June 2023 138
