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Panagiotis Skondras, Panagiotis Zervas and Giannis Tzimas
In this article, we investigate the potential of synthetic resumes as a means for the rapid generation of training data and their effectiveness in data augmentation, especially in categories marked by sparse samples. The widespread implementation of mach...
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Chrisoula Alexandraki, Michael Starakis, Panagiotis Zervas and Rolf Bader
Percussionists use a multitude of objects and materials, mounted on their instruments, to achieve a satisfying sound texture. This is a tedious process as there are no guidelines suggesting how to manipulate a percussion instrument to adjust its perceptu...
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Panagiotis Skondras, Nikos Zotos, Dimitris Lagios, Panagiotis Zervas, Konstantinos C. Giotopoulos and Giannis Tzimas
This article presents a study on the multi-class classification of job postings using machine learning algorithms. With the growth of online job platforms, there has been an influx of labor market data. Machine learning, particularly NLP, is increasingly...
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Demetrios E. Tsesmelis, Ioanna Leveidioti, Christos A. Karavitis, Kleomenis Kalogeropoulos, Constantina G. Vasilakou, Andreas Tsatsaris and Efthimios Zervas
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Marilena Vivona and Michalis N. Zervas
We present a non-destructive technique for a combined evaluation of refractive index and active-dopant distribution in the same position along a rare-earth-doped optical fiber preform. The method relies on luminescence measurements, analyzed through an o...
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Dimitrios Papoulis, Dimitra Kaika, Christina Bampatsou and Efthimios Zervas
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Efthimios Zervas
Pág. 244 - 252
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Efthimios Zervas and George Bikas
Pág. 1707 - 1713
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Passas, N. Zervas, E. Hortopan, G. Merakos, L.
Pág. 719 - 726
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Merakos, L; Zervas, E
Pág. 1270 - 1276
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