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pro vyhledávání: '"A. Bassetti"'
Earth System Models (ESMs) are essential for understanding the interaction between human activities and the Earth's climate. However, the computational demands of ESMs often limit the number of simulations that can be run, hindering the robust analys
Externí odkaz:
http://arxiv.org/abs/2409.11601
Deep linear networks have been extensively studied, as they provide simplified models of deep learning. However, little is known in the case of finite-width architectures with multiple outputs and convolutional layers. In this manuscript, we provide
Externí odkaz:
http://arxiv.org/abs/2406.03260
Earth system models (ESMs) are the principal tools used in climate science to generate future climate projections under various atmospheric emissions scenarios on a global or regional scale. Generative deep learning approaches are suitable for emulat
Externí odkaz:
http://arxiv.org/abs/2404.08797
Cyber ranges are virtual training ranges that have emerged as indispensable environments for conducting secure exercises and simulating real or hypothetical scenarios. These complex computational infrastructures enable the simulation of attacks, faci
Externí odkaz:
http://arxiv.org/abs/2312.17221
Autor:
Bechny, Michal, Monachino, Giuliana, Fiorillo, Luigi, van der Meer, Julia, Schmidt, Markus H., Bassetti, Claudio L. A., Tzovara, Athina, Faraci, Francesca D.
Purpose: This study aims to enhance the clinical use of automated sleep-scoring algorithms by incorporating an uncertainty estimation approach to efficiently assist clinicians in the manual review of predicted hypnograms, a necessity due to the notab
Externí odkaz:
http://arxiv.org/abs/2312.14996
Small data learning problems are characterized by a significant discrepancy between the limited amount of response variable observations and the large feature space dimension. In this setting, the common learning tools struggle to identify the featur
Externí odkaz:
http://arxiv.org/abs/2310.19066
Security and dependability of devices are paramount for the IoT ecosystem. Message Queuing Telemetry Transport protocol (MQTT) is the de facto standard and the most common alternative for those limited devices that cannot leverage HTTP. However, the
Externí odkaz:
http://arxiv.org/abs/2309.03547
Since the origins of the Internet, various vulnerabilities exploiting the IP fragmentation process have plagued IPv4 protocol, many leading to a wide range of attacks. IPv6 modified the handling of fragmentations and introduced a specific extension h
Externí odkaz:
http://arxiv.org/abs/2309.03525
A new discrete-time shot noise Cox process for spatiotemporal data is proposed. The random intensity is driven by a dependent sequence of latent gamma random measures. Some properties of the latent process are derived, such as an autoregressive repre
Externí odkaz:
http://arxiv.org/abs/2308.08481
Publikováno v:
Interaction Studies, Vol. 23, Dec 2022, p.469-512
The development of artificial agents for social interaction pushes to enrich robots with social skills and knowledge about (local) social norms. One possibility is to distinguish the expressive and the functional orders during a human-robot interacti
Externí odkaz:
http://arxiv.org/abs/2308.03146