Zobrazeno 1 - 10
of 17 372
pro vyhledávání: '"P. Marjan"'
Autor:
Zhiany, Saeed, Ghassemi, Fatemeh, Abbasimoghadam, Nesa, Hodaei, Ali, Ataollahi, Ali, Kovács, József, Ábrahám, Erika, Sirjani, Marjan
Hybrid Rebeca is introduced for modeling asynchronous event-based Cyber-Physical Systems (CPSs). In this work, we extend Hybrid Rebeca to allow the modeling of non-deterministic time behavior. We provide a set of rules to define the semantic model of
Externí odkaz:
http://arxiv.org/abs/2411.03160
Autor:
Qazvini, Marjan
Underwriting is one of the important stages in an insurance company. The insurance company uses different factors to classify the policyholders. In this study, we apply several machine learning models such as nearest neighbour and logistic regression
Externí odkaz:
http://arxiv.org/abs/2411.00354
Autor:
Qazvini, Marjan
Convolutional Neural Networks (CNNs) are proven to be effective when data are homogeneous such as images, or when there is a relationship between consecutive data such as time series data. Although CNNs are not famous for tabular data, we show that w
Externí odkaz:
http://arxiv.org/abs/2411.00317
Autor:
Qazvini, Marjan
National Statistical Organisations every year spend time and money to collect information through surveys. Some of these surveys include follow-up studies, and usually, some participants due to factors such as death, immigration, change of employment
Externí odkaz:
http://arxiv.org/abs/2411.00297
Calcium signals in pancreatic beta-cells collectives show a sharp transition from uncorrelated to correlated state resembling a phase transition as the slowly increasing glucose concentration crosses the tipping point. However, the exact nature or th
Externí odkaz:
http://arxiv.org/abs/2410.17756
Local explanation of machine learning (ML) models has recently received significant attention due to its ability to reduce ambiguities about why the models make specific decisions. Extensive efforts have been invested to address explainability for di
Externí odkaz:
http://arxiv.org/abs/2410.12996
Autor:
Olczyk, Magdalena, Petreski, Marjan
This study explores the differential impacts of global value chain (GVC) participation on foreign direct investment (FDI)-related job creation in EU-27, emphasizing the role of sector-specific and regional factors. The study is based on a rich set of
Externí odkaz:
http://arxiv.org/abs/2410.04160
Autor:
Tali, Ronak, Rabeh, Ali, Yang, Cheng-Hau, Shadkhah, Mehdi, Karki, Samundra, Upadhyaya, Abhisek, Dhakshinamoorthy, Suriya, Saadati, Marjan, Sarkar, Soumik, Krishnamurthy, Adarsh, Hegde, Chinmay, Balu, Aditya, Ganapathysubramanian, Baskar
Simulating fluid flow around arbitrary shapes is key to solving various engineering problems. However, simulating flow physics across complex geometries remains numerically challenging and computationally resource-intensive, particularly when using c
Externí odkaz:
http://arxiv.org/abs/2409.18032
Software Defined Networks (SDN) face many security challenges today. A great deal of research has been done within the field of Intrusion Detection Systems (IDS) in these networks. Yet, numerous approaches still rely on deep learning algorithms. Thes
Externí odkaz:
http://arxiv.org/abs/2409.03544
Autor:
Celikik, Marjan, Wasilewski, Jacek, Ramallo, Ana Peleteiro, Kurennoy, Alexey, Labzin, Evgeny, Ascione, Danilo, Gurbanov, Tural, Falher, Géraud Le, Dzhoha, Andrii, Harris, Ian
Modern e-commerce platforms offer vast product selections, making it difficult for customers to find items that they like and that are relevant to their current session intent. This is why it is key for e-commerce platforms to have near real-time sca
Externí odkaz:
http://arxiv.org/abs/2409.02856