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pro vyhledávání: '"Soylu P"'
Natural Language Processing (NLP) systems are increasingly taking the form of sophisticated modular pipelines, e.g., Retrieval Augmented Generation (RAG), where each module may involve a distinct Language Model (LM) and an associated prompt template.
Externí odkaz:
http://arxiv.org/abs/2407.10930
A transfer function approach has recently proven effective for calibrating deep learning (DL) algorithms in quantitative ultrasound (QUS), addressing data shifts at both the acquisition and machine levels. Expanding on this approach, we develop a str
Externí odkaz:
http://arxiv.org/abs/2407.03512
Autor:
Mehran, Narges, Kimovski, Dragi, Hellwagner, Hermann, Roman, Dumitru, Soylu, Ahmet, Prodan, Radu
The demand for distributed applications has significantly increased over the past decade, with improvements in machine learning techniques fueling this growth. These applications predominantly utilize Cloud data centers for high-performance computing
Externí odkaz:
http://arxiv.org/abs/2405.00005
Publikováno v:
Knowledge-Based Systems, Vol. 302, p. 112243, 2024
Question answering (QA) is the task of answering questions posed in natural language with free-form natural language answers extracted from a given passage. In the OpenQA variant, only a question text is given, and the system must retrieve relevant p
Externí odkaz:
http://arxiv.org/abs/2401.03590
Autor:
Mehran, Narges, Haghighi, Arman, Aminharati, Pedram, Nikolov, Nikolay, Soylu, Ahmet, Roman, Dumitru, Prodan, Radu
Today, many users deploy their microservice-based applications with various interconnections on a cluster of Cloud machines, subject to stochastic changes due to dynamic user requirements. To address this problem, we compare three machine learning (M
Externí odkaz:
http://arxiv.org/abs/2401.03319
Publikováno v:
Sleep Medicine Research, Vol 15, Iss 3, Pp 173-181 (2024)
Background and Objective We aim to assess the role of affective temperaments, insomnia severity, sleep quality, and depressive anxiety symptoms in predicting catastrophizing insomnia in patients with major depressive disorder (MDD). Methods Our study
Externí odkaz:
https://doaj.org/article/2617aad6f28d4efaaf77e94f004d3104
Autor:
Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-31 (2024)
Abstract Cloud computing has become popular among individuals and enterprises due to its convenience, scalability, and flexibility. However, a major concern for many cloud service users is the rising cost of cloud resources. Since cloud computing use
Externí odkaz:
https://doaj.org/article/15f9f8fb024c494094afb3d96c5cbc6b
Publikováno v:
Journal of Tourism, Sustainability and Well-being, Vol 12, Iss 3, Pp 257-278 (2024)
This study investigates the impact of the subjective and personal norms, environmental concerns, and altruism perceptions of recreationists on environment-friendly behaviors and environmental tourism behaviors. The population of the study consists of
Externí odkaz:
https://doaj.org/article/de02d87bfc9842fda6a6eb727521dfa8
Autor:
Tan, Zhipeng, Zhou, Baifan, Zheng, Zhuoxun, Savkovic, Ognjen, Huang, Ziqi, Gonzalez, Irlan-Grangel, Soylu, Ahmet, Kharlamov, Evgeny
Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). However, there has been lim
Externí odkaz:
http://arxiv.org/abs/2308.01105
Autor:
Zhou, Baifan, Nikolov, Nikolay, Zheng, Zhuoxun, Luo, Xianghui, Savkovic, Ognjen, Roman, Dumitru, Soylu, Ahmet, Kharlamov, Evgeny
Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety. In that context, distributed computing solutions such as cloud systems are leveraged
Externí odkaz:
http://arxiv.org/abs/2308.01094