Zobrazeno 1 - 10
of 383
pro vyhledávání: '"Freudenthaler, P."'
This study leverages the data representation capability of fuzzy based membership-mappings for practical secure distributed deep learning using fully homomorphic encryption. The impracticality issue of secure machine (deep) learning with fully homomo
Externí odkaz:
http://arxiv.org/abs/2204.05765
Publikováno v:
Studies in Communication, Media, Vol 13, Iss 1, Pp 101-124 (2024)
Frames are a central concept in communication research. Based on our literature review, we propose that frame identification is an act of identifying selected reality and communicative intention. We then highlight the conceptual and methodological is
Externí odkaz:
https://doaj.org/article/3f0366836961400399457c2f2f0c5668
In order to develop machine learning and deep learning models that take into account the guidelines and principles of trustworthy AI, a novel information theoretic trustworthy AI framework is introduced. A unified approach to "privacy-preserving inte
Externí odkaz:
http://arxiv.org/abs/2106.06046
A fuzzy theoretic analytical approach was recently introduced that leads to efficient and robust models while addressing automatically the typical issues associated to parametric deep models. However, a formal conceptualization of the fuzzy theoretic
Externí odkaz:
http://arxiv.org/abs/2104.07060
Autor:
Freudenthaler, Gerhard, Meurer, Thomas
A PDE-based control concept is developed to deploy a multi-agent system into desired formation profiles. The dynamic model is based on a coupled linear, time-variant parabolic distributed parameter system. By means of a particular coupling structure
Externí odkaz:
http://arxiv.org/abs/1912.10539
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract We compared mandibular condyle positions as determined by magnetic resonance imaging (MRI) and a mechanical device, the condylar position indicator (CPI). Both methods assessed 3 mandibular positions in 10 asymptomatic males and 10 asymptoma
Externí odkaz:
https://doaj.org/article/0ea87555f8534b49ab7c95334116a10f
Autor:
P. Paschou, N. Siomos, A. Tsekeri, A. Louridas, G. Georgoussis, V. Freudenthaler, I. Binietoglou, G. Tsaknakis, A. Tavernarakis, C. Evangelatos, J. von Bismarck, T. Kanitz, C. Meleti, E. Marinou, V. Amiridis
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 2299-2323 (2022)
The eVe dual-laser/dual-telescope lidar system is introduced here, focusing on the optical and mechanical parts of the system's emission and receiver units. The compact design of the linear–circular emission unit along with the linear–circular an
Externí odkaz:
https://doaj.org/article/bb3b52120f0e476391bae69527d6d9cd
Autor:
A. Tsekeri, V. Amiridis, A. Louridas, G. Georgoussis, V. Freudenthaler, S. Metallinos, G. Doxastakis, J. Gasteiger, N. Siomos, P. Paschou, T. Georgiou, G. Tsaknakis, C. Evangelatos, I. Binietoglou
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 7453-7474 (2021)
Dust orientation has been an ongoing investigation in recent years. Its potential proof will be a paradigm shift for dust remote sensing, invalidating the currently used simplifications of randomly oriented particles. Vertically resolved measurements
Externí odkaz:
https://doaj.org/article/3e5ec0af451d4aa5ae70219b44bc6378
Publikováno v:
Algorithms, Vol 16, Iss 9, p 450 (2023)
In order to develop machine learning and deep learning models that take into account the guidelines and principles of trustworthy AI, a novel information theoretic approach is introduced in this article. A unified approach to privacy-preserving inter
Externí odkaz:
https://doaj.org/article/c84932df07ed436fa019fc8a3a6a51b5
Item recommendation is the task of predicting a personalized ranking on a set of items (e.g. websites, movies, products). In this paper, we investigate the most common scenario with implicit feedback (e.g. clicks, purchases). There are many methods f
Externí odkaz:
http://arxiv.org/abs/1205.2618