Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Tzouveli P"'
Autor:
Hu, Guanyu, Kollias, Dimitrios, Papadopoulou, Eleni, Tzouveli, Paraskevi, Wei, Jie, Yang, Xinyu
Evaluating affect analysis methods presents challenges due to inconsistencies in database partitioning and evaluation protocols, leading to unfair and biased results. Previous studies claim continuous performance improvements, but our findings challe
Externí odkaz:
http://arxiv.org/abs/2408.02164
Autor:
Spanos, Nikolaos, Arsenos, Anastasios, Theofilou, Paraskevi-Antonia, Tzouveli, Paraskevi, Voulodimos, Athanasios, Kollias, Stefanos
The absence of well-structured large datasets in medical computer vision results in decreased performance of automated systems and, especially, of deep learning models. Domain generalization techniques aim to approach unknown domains from a single da
Externí odkaz:
http://arxiv.org/abs/2406.00298
Autor:
Hu, Guanyu, Papadopoulou, Eleni, Kollias, Dimitrios, Tzouveli, Paraskevi, Wei, Jie, Yang, Xinyu
The increasing integration of machine learning algorithms in daily life underscores the critical need for fairness and equity in their deployment. As these technologies play a pivotal role in decision-making, addressing biases across diverse subpopul
Externí odkaz:
http://arxiv.org/abs/2405.06841
Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic and high resolution images that faithfully adhere to the corresponding text-prompts. Despite their great success, they still fall behind in sket
Externí odkaz:
http://arxiv.org/abs/2403.18425
Diffusion Models have demonstrated remarkable performance in image generation. However, their demanding computational requirements for training have prompted ongoing efforts to enhance the quality of generated images through modifications in the samp
Externí odkaz:
http://arxiv.org/abs/2311.11164
Publikováno v:
Sensors, Vol 24, Iss 16, p 5310 (2024)
The Industrial Internet of Things has enabled the integration and analysis of vast volumes of data across various industries, with the maritime sector being no exception. Advances in cloud computing and deep learning (DL) are continuously reshaping t
Externí odkaz:
https://doaj.org/article/9a3d2f967a3d440abc389c03e8086b8d
Akademický článek
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Publikováno v:
Sensors, Vol 22, Iss 3, p 1065 (2022)
The production and consumption of music in the contemporary era results in big data generation and creates new needs for automated and more effective management of these data. Automated music mood detection constitutes an active task in the field of
Externí odkaz:
https://doaj.org/article/380dc0c939194153ac2e47fd50c068e1
Publikováno v:
Journal of Computer Science and Technology, Vol 12, Iss 03, Pp 123-132 (2012)
In this paper a fully automatic scheme for embedding visually recognizable watermark patterns to video objects is proposed. The architecture consists of 3 main modules. During the first module unsupervised video object extraction is performed, by ana
Externí odkaz:
https://doaj.org/article/8b50aedc8705420186456eeb536af935
Akademický článek
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