Zobrazeno 1 - 10
of 12 657
pro vyhledávání: '"Vali, A."'
Autor:
Vali, Mohammad Hassan, Bäckström, Tom
Generative adversarial networks (GANs) learn a latent space whose samples can be mapped to real-world images. Such latent spaces are difficult to interpret. Some earlier supervised methods aim to create an interpretable latent space or discover inter
Externí odkaz:
http://arxiv.org/abs/2410.20573
Autor:
Saffarpour, Mahya, Vali, Kourosh, Qian, Weitai, Kasap, Begum, Hedriana, Herman L., Ghiasi, Soheil
Publikováno v:
61st ACM/IEEE Design Automation Conference (DAC '24), June 23--27, 2024, San Francisco, CA, USA
We present a method, referred to as Deep Harmonic Finesse (DHF), for separation of non-stationary quasi-periodic signals when limited data is available. The problem frequently arises in wearable systems in which, a combination of quasi-periodic physi
Externí odkaz:
http://arxiv.org/abs/2407.01840
It is well-known that Excess-of-Loss reinsurance has more marketability than Stop-Loss reinsurance, though Stop-Loss reinsurance is the most prominent setting discussed in the optimal (re)insurance design literature. We point out that optimal reinsur
Externí odkaz:
http://arxiv.org/abs/2405.00188
Autor:
Zhang, Tongyu, Vali, Moe
Ever since its discovery by Roy Kerr in 1963, the geometry around rotating, electrostatically-neutral black holes, otherwise known as Kerr black holes, has significantly contributed to theoretical developments in the fields of general relativity, the
Externí odkaz:
http://arxiv.org/abs/2404.14981
Autor:
Ghahroodi, Omid, Nouri, Marzia, Sanian, Mohammad Vali, Sahebi, Alireza, Dastgheib, Doratossadat, Asgari, Ehsaneddin, Baghshah, Mahdieh Soleymani, Rohban, Mohammad Hossein
Evaluating Large Language Models (LLMs) is challenging due to their generative nature, necessitating precise evaluation methodologies. Additionally, non-English LLM evaluation lags behind English, resulting in the absence or weakness of LLMs for many
Externí odkaz:
http://arxiv.org/abs/2404.06644
Publikováno v:
Search-Based Software Engineering. SSBSE 2023. Lecture Notes in Computer Science, vol 14415. Springer
One of the ways Large Language Models (LLMs) are used to perform machine learning tasks is to provide them with a few examples before asking them to produce a prediction. This is a meta-learning process known as few-shot learning. In this paper, we u
Externí odkaz:
http://arxiv.org/abs/2403.08430
While code review is central to the software development process, it can be tedious and expensive to carry out. In this paper, we investigate whether and how Large Language Models (LLMs) can aid with code reviews. Our investigation focuses on two tas
Externí odkaz:
http://arxiv.org/abs/2403.08429
Autor:
Dalouji, Vali, Rahimi, Nasim
Publikováno v:
Soldering & Surface Mount Technology, 2024, Vol. 36, Issue 5, pp. 260-267.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SSMT-08-2023-0043
Autor:
Vali Nurullayev, Gafar Ismayilov
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1643-1652 (2024)
The article provides an overview of free-flow fields and lists the conditions and consequences of their formation, currently known as a hydraulic phenomenon. It is noted that the study and determination of free flow areas is of particular importance
Externí odkaz:
https://doaj.org/article/e4b13e5efded4333953b4fc9a9d2dacc
Autor:
Pouya Mahdavi Sharif, Mohsen Merati, Vali Baigi, Mohammadreza Zafarghandi, Vafa Rahimi-Movaghar, Moein Khormali, Marjan Laal, Payman Salamati
Publikováno v:
Chinese Journal of Traumatology, Vol 27, Iss 6, Pp 389-394 (2024)
Purpose: Upper extremity injuries (UEIs) and lower extremity injuries (LEIs) constitute a considerable component of traumas. However, their epidemiologic differences and short-term in-hospital outcomes are not fully elucidated. This study aims to com
Externí odkaz:
https://doaj.org/article/3d760aa335e44cfd98476b8bacba7fe3