Zobrazeno 1 - 10
of 1 288
pro vyhledávání: '"Arasteh, P."'
Autor:
Arasteh, Soroosh Tayebi, Lotfinia, Mahshad, Perez-Toro, Paula Andrea, Arias-Vergara, Tomas, Orozco-Arroyave, Juan Rafael, Schuster, Maria, Maier, Andreas, Yang, Seung Hee
Speech pathology has impacts on communication abilities and quality of life. While deep learning-based models have shown potential in diagnosing these disorders, the use of sensitive data raises critical privacy concerns. Although differential privac
Externí odkaz:
http://arxiv.org/abs/2409.19078
Autor:
Arasteh, Soroosh Tayebi, Lotfinia, Mahshad, Bressem, Keno, Siepmann, Robert, Ferber, Dyke, Kuhl, Christiane, Kather, Jakob Nikolas, Nebelung, Sven, Truhn, Daniel
Large language models (LLMs) have advanced the field of artificial intelligence (AI) in medicine. However LLMs often generate outdated or inaccurate information based on static training datasets. Retrieval augmented generation (RAG) mitigates this by
Externí odkaz:
http://arxiv.org/abs/2407.15621
Autor:
Arasteh, Fazel, Elmahgiubi, Mohammed, Khamidehi, Behzad, Mirkhani, Hamidreza, Zhang, Weize, Tongtong, Cao, Rezaee, Kasra
The planning problem constitutes a fundamental aspect of the autonomous driving framework. Recent strides in representation learning have empowered vehicles to comprehend their surrounding environments, thereby facilitating the integration of learnin
Externí odkaz:
http://arxiv.org/abs/2406.01544
Autor:
Karvandi, Mohammad Sina, Meghdadizanjani, Soroush, Arasteh, Sima, Monfared, Saleh Khalaj, Fallah, Mohammad K., Gorgin, Saeid, Lee, Jeong-A, van der Kouwe, Erik
Existing anti-malware software and reverse engineering toolkits struggle with stealthy sub-OS rootkits due to limitations of run-time kernel-level monitoring. A malicious kernel-level driver can bypass OS-level anti-virus mechanisms easily. Although
Externí odkaz:
http://arxiv.org/abs/2405.00298
Autor:
Arasteh, Soroosh Tayebi, Arias-Vergara, Tomas, Perez-Toro, Paula Andrea, Weise, Tobias, Packhaeuser, Kai, Schuster, Maria, Noeth, Elmar, Maier, Andreas, Yang, Seung Hee
Publikováno v:
Commun Med 4, (2024)
Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information. In response, speaker anonymization aims to conceal personally identifiable informatio
Externí odkaz:
http://arxiv.org/abs/2404.08064
Autor:
Zhang, Weize, Elmahgiubi, Mohammed, Rezaee, Kasra, Khamidehi, Behzad, Mirkhani, Hamidreza, Arasteh, Fazel, Li, Chunlin, Kaleem, Muhammad Ahsan, Corral-Soto, Eduardo R., Sharma, Dhruv, Cao, Tongtong
In this paper we present the architecture of the Kyber-E2E submission to the map track of CARLA Leaderboard 2.0 Autonomous Driving (AD) challenge 2023, which achieved first place. We employed a modular architecture for our solution consists of five m
Externí odkaz:
http://arxiv.org/abs/2405.01394
Autor:
Arasteh, Soroosh Tayebi, Kuhl, Christiane, Saehn, Marwin-Jonathan, Isfort, Peter, Truhn, Daniel, Nebelung, Sven
Publikováno v:
Sci Rep 13, 22576 (2023)
Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable datasets, preferably from multiple institutions. In federated learning (FL), a model is trained colla
Externí odkaz:
http://arxiv.org/abs/2310.00757
Autor:
Amir Eftekhari Milani, Mohammad Hosein Ahoor, Fatemeh Etemad, Banafsheh Kharrazi Ghadim, Amin Arasteh
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective Our study aims to evaluate and compare the macular microvascular condition of the intravitreal Bevacizumab (IVB)-treated retinopathy of prematurity (ROP) cases to the preterm cases without ROP and spontaneously regressed ROPs. Meth
Externí odkaz:
https://doaj.org/article/aa0b5e71c57a4a51b425c2951c033ac5
Autor:
Seyed Salar Sefati, Razvan Craciunescu, Bahman Arasteh, Simona Halunga, Octavian Fratu, Irina Tal
Publikováno v:
Smart Cities, Vol 7, Iss 5, Pp 2802-2841 (2024)
Smart cities increasingly rely on the Internet of Things (IoT) to enhance infrastructure and public services. However, many existing IoT frameworks face challenges related to security, privacy, scalability, efficiency, and low latency. This paper int
Externí odkaz:
https://doaj.org/article/a0a54cc556e4474dbbb3f918e42817e9
Autor:
Arasteh, Soroosh Tayebi, Han, Tianyu, Lotfinia, Mahshad, Kuhl, Christiane, Kather, Jakob Nikolas, Truhn, Daniel, Nebelung, Sven
Publikováno v:
Nat Commun 15, 1603 (2024)
A knowledge gap persists between machine learning (ML) developers (e.g., data scientists) and practitioners (e.g., clinicians), hampering the full utilization of ML for clinical data analysis. We investigated the potential of the ChatGPT Advanced Dat
Externí odkaz:
http://arxiv.org/abs/2308.14120