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Learning using privileged information for segmenting tumors on digital mammograms

Autor: Tzortzis, Ioannis N., Makantasis, Konstantinos, Rallis, Ioannis, Bakalos, Nikolaos, Doulamis, Anastasios, Doulamis, Nikolaos

Limited amount of data and data sharing restrictions, due to GDPR compliance, constitute two common factors leading to reduced availability and accessibility when referring to medical data. To tackle these issues, we introduce the technique of Learni

Externí odkaz: http://arxiv.org/abs/2402.06379

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Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series

Autor: Tzortzis, Alexandros-Menelaos, Pelekis, Sotiris, Spiliotis, Evangelos, Mouzakitis, Spiros, Psarras, John, Askounis, Dimitris

Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task. Various forecasting appr

Externí odkaz: http://arxiv.org/abs/2310.15555

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Akademický článek

Aging is associated with functional and molecular changes in distinct hematopoietic stem cell subsets

Autor: Tsu-Yi Su, Julia Hauenstein, Ece Somuncular, Özge Dumral, Elory Leonard, Charlotte Gustafsson, Efthymios Tzortzis, Aurora Forlani, Anne-Sofie Johansson, Hong Qian, Robert Månsson, Sidinh Luc

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)

Abstract Age is a risk factor for hematologic malignancies. Attributes of the aging hematopoietic system include increased myelopoiesis, impaired adaptive immunity, and a functional decline of the hematopoietic stem cells (HSCs) that maintain hematop

Externí odkaz: https://doaj.org/article/ce8fe9bb60494b84ad3652fa933d6098

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Employing Crowdsourcing for Enriching a Music Knowledge Base in Higher Education

Autor: Lyberatos, Vassilis, Kantarelis, Spyridon, Kaldeli, Eirini, Bekiaris, Spyros, Tzortzis, Panagiotis, Mastromichalakis, Orfeas Menis, Stamou, Giorgos

This paper describes the methodology followed and the lessons learned from employing crowdsourcing techniques as part of a homework assignment involving higher education students of computer science. Making use of a platform that supports crowdsourci

Externí odkaz: http://arxiv.org/abs/2306.07310

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Akademický článek

Infectious complications of transrectal prostate biopsy in patients receiving targeted antibiotic prophylaxis after urethral and rectal swab versus standard prophylaxis: A prospective comparative study

Autor: Sotirios Gatsos, Nikolaos Kalogeras, Georgios Dimakopoulos, Michael Samarinas, Anna Papakonstantinou, Efi Petinaki, Vassilios Tzortzis, Stavros Gravas

Publikováno v: Prostate International, Vol 12, Iss 1, Pp 35-39 (2024)

Background: To evaluate the role of targeted antibiotic prophylaxis (TAP) after rectal and urethral swab cultures compared to empiric antibiotic prophylaxis (EAP) for the prevention of infectious complications after transrectal ultrasound-guided pros

Externí odkaz: https://doaj.org/article/d73fe8bb583d48a08fcbb21898d74361

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Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery

Autor: Tzortzis, Ioannis N., Rallis, Ioannis, Makantasis, Konstantinos, Doulamis, Anastasios, Doulamis, Nikolaos, Voulodimos, Athanasios

In Cultural Heritage, hyperspectral images are commonly used since they provide extended information regarding the optical properties of materials. Thus, the processing of such high-dimensional data becomes challenging from the perspective of machine

Externí odkaz: http://arxiv.org/abs/2207.02163

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