Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Vasileios L. Georgiou"'
Autor:
Kleopatra Diakogiorgi, Vasileios L. Georgiou, Evangelia-Jessica Pantazopoulou, Fotini Polychroni
Publikováno v:
Reading and Writing. 35:275-302
In this study, we examined the accuracy and consistency of Greek-speaking children with spelling difficulties using a spelling level-matched design at two time points. Eighty-seven children were selected for inclusion in three groups: a group with sp
Publikováno v:
Annals of Transplantation
BACKGROUND Living kidney donors may face health risks after donation. Age, sex, body mass index, comorbidities, and relationship to the recipient have an impact on lifetime living kidney donor risk. In view of a changing landscape in renal transplant
Autor:
Gerasimos Markantonatos, Aikaterini Kirtzalidou, Myrsini Tzani, Vasileios L. Georgiou, Georgia Bechtsi, Spyridon Ztrivas, Olga Mangana-Vougiouka, Laskarina-Maria Korou, Eleni Chondrokouki, Aggeliki Katsifa, Peristera Iliadou, Konstantia E. Tasioudi, Dimos P. Papatheodorou
Publikováno v:
Veterinary Microbiology. 226:59-63
Although juvenile red foxes (Vulpes vulpes) are considered a single age group, essential for monitoring the effectiveness of the oral rabies vaccination (ORV), there appear to be significant differences among age subgroups. Herein, a subset of 335 fo
Autor:
Dimos P. Papatheodorou, Eleni Chondrokouki, Aikaterini Kirtzalidou, Myrsini Tzani, Peristera Iliadou, Vasileios L. Georgiou, Laskarina-Maria Korou, Gerasimos Markantonatos, Konstantia E. Tasioudi, Olga Mangana-Vougiouka
Publikováno v:
Veterinary Microbiology. 216:107-118
Following the last animal rabies outbreak in Greece in 2012, Oral Rabies Vaccination (ORV) campaigns of red foxes (Vulpes vulpes) were conducted in order to halt the spread of the disease, as widely and effectively have also been implemented in other
In this contribution a new supervised classification model is proposed, namely the Fuzzy Evolutionary Probabilistic Neural Network (FEPNN). The proposed model in- corporates a fuzzy class membership function into the recently proposed Evolutionary Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dab8d626d0ddd15c1a2f14e9952ad8a
https://doi.org/10.1201/9780429070655-38
https://doi.org/10.1201/9780429070655-38
Autor:
Alevizos, Konstantinos E. Parsopoulos, Nicos G. Pavlidis, Vasileios L. Georgiou, Michael N. Vrahatis
Publikováno v:
International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9088afecbe727699de32a2b7a4027a00
https://doi.org/10.1201/9780429081385-218
https://doi.org/10.1201/9780429081385-218
Autor:
Panagiota Preka-Papadema, Alexandros Hillaris, Xenophon Moussas, Nikolaos Dimisianos, Christos Katsavrias, Odysseas Kargiotis, Panagiotis Papathanasopoulos, Pinelopi Papachristou, Elisabeth Andreadou, Gregorios Antonakopoulos, Vasileios L. Georgiou, Anastasios Gkotsinas
Publikováno v:
Clinical Neurology and Neurosurgery. 146:82-89
Objectives Increasing observational evidence on the biological effects of Space Weather suggests that geomagnetic disturbances may be an environmental risk factor for multiple sclerosis (MS) relapses. In the present study, we aim to investigate the p
Autor:
Georgios Panagiotakis, Vasileios L. Georgiou, Athanasios Papathanasiou, Lambros Messinis, Panagiotis Papathanasopoulos, Philippos Gourzis, Petros Zampakis
Publikováno v:
Journal of the Neurological Sciences. 358:236-242
Introduction Cognitive impairment is an important predictor of quality of life at all stages of MS. Magnetic Resonance Imaging (MRI) markers have been used to associate tissue damage with cognitive dysfunction. Objective The aim of the study was to d
Publikováno v:
Neural Processing Letters. 27:153-162
In this contribution, novel approaches are proposed for the improvement of the performance of Probabilistic Neural Networks as well as the recently proposed Evolutionary Probabilistic Neural Networks. The Evolutionary Probabilistic Neural Network's m
Autor:
Konstantinos E. Parsopoulos, Nicos G. Pavlidis, Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis
Publikováno v:
International Journal on Artificial Intelligence Tools. 15:371-396
We propose a self–adaptive probabilistic neural network model, which incorporates optimization algorithms to determine its spread parameters. The performance of the proposed model is investigated on two protein localization problems, as well as on