Zobrazeno 1 - 10
of 17 890
pro vyhledávání: '"Fawaz, A."'
Deep learning models have been shown to be a powerful solution for Time Series Classification (TSC). State-of-the-art architectures, while producing promising results on the UCR and the UEA archives , present a high number of trainable parameters. Th
Externí odkaz:
http://arxiv.org/abs/2409.02869
Privacy policies are crucial in the online ecosystem, defining how services handle user data and adhere to regulations such as GDPR and CCPA. However, their complexity and frequent updates often make them difficult for stakeholders to understand and
Externí odkaz:
http://arxiv.org/abs/2408.14830
Computer vision systems have been deployed in various applications involving biometrics like human faces. These systems can identify social media users, search for missing persons, and verify identity of individuals. While computer vision models are
Externí odkaz:
http://arxiv.org/abs/2407.13922
This study addresses the challenges of energy deficiencies and high impact low probability (HILP) events in modern electrical grids by developing resilient microgrid energy management strategies. It introduces a sliding Model Predictive Control (MPC)
Externí odkaz:
http://arxiv.org/abs/2407.10278
Autor:
Middlehurst, Matthew, Ismail-Fawaz, Ali, Guillaume, Antoine, Holder, Christopher, Rubio, David Guijo, Bulatova, Guzal, Tsaprounis, Leonidas, Mentel, Lukasz, Walter, Martin, Schäfer, Patrick, Bagnall, Anthony
aeon is a unified Python 3 library for all machine learning tasks involving time series. The package contains modules for time series forecasting, classification, extrinsic regression and clustering, as well as a variety of utilities, transformations
Externí odkaz:
http://arxiv.org/abs/2406.14231
Autor:
Tang, Mingwei, Liu, Meng, Li, Hong, Yang, Junjie, Wei, Chenglin, Li, Boyang, Li, Dai, Xu, Rengan, Xu, Yifan, Zhang, Zehua, Wang, Xiangyu, Liu, Linfeng, Xie, Yuelei, Liu, Chengye, Fawaz, Labib, Li, Li, Wang, Hongnan, Zhu, Bill, Reddy, Sri
In recommendation systems, high-quality user embeddings can capture subtle preferences, enable precise similarity calculations, and adapt to changing preferences over time to maintain relevance. The effectiveness of recommendation systems depends on
Externí odkaz:
http://arxiv.org/abs/2406.05898
The development of generative artificial intelligence for human motion generation has expanded rapidly, necessitating a unified evaluation framework. This paper presents a detailed review of eight evaluation metrics for human motion generation, highl
Externí odkaz:
http://arxiv.org/abs/2405.07680
Autor:
K., Abhinand, Nair, Abhiram B., C., Dhananjay, Hamza, Hanan, J., Mohammed Fawaz, K., Rahma Fahim, S, Anoop V.
Technological advancements and innovations are advancing our daily life in all the ways possible but there is a larger section of society who are deprived of accessing the benefits due to their physical inabilities. To reap the real benefits and make
Externí odkaz:
http://arxiv.org/abs/2405.06702
Mobile apps have embraced user privacy by moving their data processing to the user's smartphone. Advanced machine learning (ML) models, such as vision models, can now locally analyze user images to extract insights that drive several functionalities.
Externí odkaz:
http://arxiv.org/abs/2403.19717
Autor:
Mangaokar, Neal, Hooda, Ashish, Choi, Jihye, Chandrashekaran, Shreyas, Fawaz, Kassem, Jha, Somesh, Prakash, Atul
Large language models (LLMs) are typically aligned to be harmless to humans. Unfortunately, recent work has shown that such models are susceptible to automated jailbreak attacks that induce them to generate harmful content. More recent LLMs often inc
Externí odkaz:
http://arxiv.org/abs/2402.15911