Zobrazeno 1 - 10
of 2 207
pro vyhledávání: '"RAMOS, LUIS A."'
Autor:
Lopez-Ramos, Luis M., Leiser, Florian, Rastogi, Aditya, Hicks, Steven, Strümke, Inga, Madai, Vince I., Budig, Tobias, Sunyaev, Ali, Hilbert, Adam
The joint implementation of Federated learning (FL) and Explainable artificial intelligence (XAI) will allow training models from distributed data and explaining their inner workings while preserving important aspects of privacy. Towards establishing
Externí odkaz:
http://arxiv.org/abs/2411.05874
Autor:
Ahani, Zahra, Tash, Moein Shahiki, Balouchzahi, Fazlourrahman, Ramos, Luis, Sidorov, Grigori, Gelbukh, Alexander
Social support, conveyed through a multitude of interactions and platforms such as social media, plays a pivotal role in fostering a sense of belonging, aiding resilience in the face of challenges, and enhancing overall well-being. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2411.02580
This paper introduces a novel Graph Neural Network (GNN) architecture for time series classification, based on visibility graph representations. Traditional time series classification methods often struggle with high computational complexity and inad
Externí odkaz:
http://arxiv.org/abs/2410.09307
Publikováno v:
Fortschr. Phys. 72, 2400177 (2024)
Four $SU(5)$ $N=1$ supersymmetric models which exhibit $S_3$ and/or $Z_N$ symmetries are studied, that are finite to two or all loops, and their corresponding mass matrices. The first is an all-loop finite model based on an $S_3\times Z_3\times Z_2$
Externí odkaz:
http://arxiv.org/abs/2406.17702
Autor:
Ramos, Luis Felipe M.
Despite the increasing adoption of biometric technologies, their regulation has not kept up with the same pace, particularly with regard to safeguarding individuals' privacy and personal data. Policymakers may struggle to comprehend the technology be
Externí odkaz:
http://arxiv.org/abs/2312.00013
The availability of public services through online platforms has improved the coverage and efficiency of essential services provided to citizens worldwide. These services also promote transparency and foster citizen participation in government proces
Externí odkaz:
http://arxiv.org/abs/2310.01200
Predictive linear and nonlinear models based on kernel machines or deep neural networks have been used to discover dependencies among time series. This paper proposes an efficient nonlinear modeling approach for multiple time series, with a complexit
Externí odkaz:
http://arxiv.org/abs/2309.17154
Digitalizing real-world analog signals typically involves sampling in time and discretizing in amplitude. Subsequent signal reconstructions inevitably incur an error that depends on the amplitude resolution and the temporal density of the acquired sa
Externí odkaz:
http://arxiv.org/abs/2308.12459
Autor:
Colunga-Ramos, Luis Fernando
Publikováno v:
In Latin American Journal of Central Banking March 2025 6(1)
The task of reconstructing smooth signals from streamed data in the form of signal samples arises in various applications. This work addresses such a task subject to a zero-delay response; that is, the smooth signal must be reconstructed sequentially
Externí odkaz:
http://arxiv.org/abs/2203.03776