Zobrazeno 1 - 10
of 3 188
pro vyhledávání: '"A. Lazarou"'
Few-shot learning addresses the issue of classifying images using limited labeled data. Exploiting unlabeled data through the use of transductive inference methods such as label propagation has been shown to improve the performance of few-shot learni
Externí odkaz:
http://arxiv.org/abs/2310.19996
Publikováno v:
Drug Design, Development and Therapy, Vol Volume 18, Pp 3939-3950 (2024)
Panayotis K Vlachakis, Panagiotis Theofilis, Stergios Soulaidopoulos, Emilia Lazarou, Konstantinos Tsioufis, George Lazaros First Cardiology Department, School of Medicine, Hippokration General Hospital, National and Kapodistrian University of Athens
Externí odkaz:
https://doaj.org/article/9072757770fe4a74a66d87b85478337a
Autor:
Parsapoor, Mahboobeh, Ghodrati, Hamed, Dentamaro, Vincenzo, Madan, Christopher R., Lazarou, Ioulietta, Nikolopoulos, Spiros, Kompatsiaris, Ioannis
Current progress in the artificial intelligence domain has led to the development of various types of AI-powered dementia assessments, which can be employed to identify patients at the early stage of dementia. It can revolutionize the dementia care s
Externí odkaz:
http://arxiv.org/abs/2307.01210
Transductive few-shot learning algorithms have showed substantially superior performance over their inductive counterparts by leveraging the unlabeled queries. However, the vast majority of such methods are evaluated on perfectly class-balanced bench
Externí odkaz:
http://arxiv.org/abs/2304.14281
Autor:
Luz, Saturnino, Haider, Fasih, Fromm, Davida, Lazarou, Ioulietta, Kompatsiaris, Ioannis, MacWhinney, Brian
This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia (AD). Participants were invited to employ signal processing and machine le
Externí odkaz:
http://arxiv.org/abs/2301.05562
Autor:
Rachel R Copland, Sten Hanke, Amy Rogers, Lampros Mpaltadoros, Ioulietta Lazarou, Alexandra Zeltsi, Spiros Nikolopoulos, Thomas M MacDonald, Isla S Mackenzie
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e47882 (2024)
Decentralized clinical trials (DCTs) are becoming increasingly popular. Digital clinical trial platforms are software environments where users complete designated clinical trial tasks, providing investigators and trial participants with efficient too
Externí odkaz:
https://doaj.org/article/f393aab865804d40ba1111b9320fdbd3
Polyp segmentation is a crucial step towards computer-aided diagnosis of colorectal cancer. However, most of the polyp segmentation methods require pixel-wise annotated datasets. Annotated datasets are tedious and time-consuming to produce, especiall
Externí odkaz:
http://arxiv.org/abs/2211.11847
Autor:
Margarita Grammatikopoulou, Ioulietta Lazarou, George Giannios, Christina Asimina Kakalou, Martha Zachariadou, Maria Zande, Haralampos Karanikas, Eleftherios Thireos, Thanos G. Stavropoulos, Pantelis Natsiavas, Spiros Nikolopoulos, Ioannis Kompatsiaris
Publikováno v:
Archives of Public Health, Vol 82, Iss 1, Pp 1-11 (2024)
Abstract Background The national e-prescription system in Greece is one of the most important achievements in the e-health sector. Healthcare professionals’ feedback is essential to ensure the introduced system tends to their needs and reduces thei
Externí odkaz:
https://doaj.org/article/3373552e665545fa81204462385cf44f
Autor:
Evgenia Lazarou, Themis P. Exarchos
Publikováno v:
AIMS Neuroscience, Vol 11, Iss 2, Pp 76-102 (2024)
Stress has emerged as a prominent and multifaceted health concern in contemporary society, manifesting detrimental effects on individuals' physical and mental health and well-being. The ability to accurately predict stress levels in real time holds s
Externí odkaz:
https://doaj.org/article/ddea1745a3ce416cbbdfc2fdc7422b1b