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pro vyhledávání: '"Fey P"'
This paper introduces the concept of abstracted model reduction: a framework to improve the tractability of structure-preserving methods for the complexity reduction of interconnected system models. To effectively reduce high-order, interconnected mo
Externí odkaz:
http://arxiv.org/abs/2411.13344
Autor:
Robinson, Joshua, Ranjan, Rishabh, Hu, Weihua, Huang, Kexin, Han, Jiaqi, Dobles, Alejandro, Fey, Matthias, Lenssen, Jan E., Yuan, Yiwen, Zhang, Zecheng, He, Xinwei, Leskovec, Jure
We present RelBench, a public benchmark for solving predictive tasks over relational databases with graph neural networks. RelBench provides databases and tasks spanning diverse domains and scales, and is intended to be a foundational infrastructure
Externí odkaz:
http://arxiv.org/abs/2407.20060
Autor:
Lanzieri, Leandro, Butkowski, Lukasz, Kral, Jiri, Fey, Goerschwin, Schlarb, Holger, Schmidt, Thomas C.
An increasing number of unhardened commercial-off-the-shelf embedded devices are deployed under harsh operating conditions and in highly-dependable systems. Due to the mechanisms of hardware degradation that affect these devices, ageing detection and
Externí odkaz:
http://arxiv.org/abs/2407.06643
Autor:
Johansson, Karin, Robinson, Raquel Breejon, Back, Jon, Bowman, Sarah Lynne, Fey, James, Segura, Elena Márquez, Waern, Annika, Isbister, Katherine
Live action roleplay (larp) has a wide range of applications, and can be relevant in relation to HCI. While there has been research about larp in relation to topics such as embodied interaction, playfulness and futuring published in HCI venues since
Externí odkaz:
http://arxiv.org/abs/2405.08526
Autor:
Robinson, Raquel B, Osborne, Anya, Ji, Chen, Fey, James Collin, Dagan, Ella, Isbister, Katherine
Most currently accepted approaches to evaluating Research through Design (RtD) presume that design prototypes are finalized and ready for robust testing in laboratory or in-the-wild settings. However, it is also valuable to assess designs at intermed
Externí odkaz:
http://arxiv.org/abs/2404.01848
Autor:
Hu, Weihua, Yuan, Yiwen, Zhang, Zecheng, Nitta, Akihiro, Cao, Kaidi, Kocijan, Vid, Leskovec, Jure, Fey, Matthias
We present PyTorch Frame, a PyTorch-based framework for deep learning over multi-modal tabular data. PyTorch Frame makes tabular deep learning easy by providing a PyTorch-based data structure to handle complex tabular data, introducing a model abstra
Externí odkaz:
http://arxiv.org/abs/2404.00776
Autor:
Chen, Jialin, Lenssen, Jan Eric, Feng, Aosong, Hu, Weihua, Fey, Matthias, Tassiulas, Leandros, Leskovec, Jure, Ying, Rex
Time series forecasting has attracted significant attention in recent decades. Previous studies have demonstrated that the Channel-Independent (CI) strategy improves forecasting performance by treating different channels individually, while it leads
Externí odkaz:
http://arxiv.org/abs/2404.01340
Autor:
Jennifer Hinnell, Fey Parrill
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/37c34b8dd9b248f7949e20c512d6ef9a
Autor:
Jennifer Hinnell, Fey Parrill
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
When faced with an ambiguous pronoun, comprehenders use both multimodal cues (e.g., gestures) and linguistic cues to identify the antecedent. While research has shown that gestures facilitate language comprehension, improve reference tracking, and in
Externí odkaz:
https://doaj.org/article/2004855522f1494793e3cc1388e3e266
Autor:
Egelmeers, Robert A., Janssen, Lars A. L., Fey, Rob H. B., Gerritsen, Jasper, van de Wouw, Nathan
Many complex mechatronic systems consist of multiple interconnected dynamical subsystems, which are designed, developed, analyzed, and manufactured by multiple independent teams. To support such a design approach, a modular model framework is needed
Externí odkaz:
http://arxiv.org/abs/2402.06829