Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Attila Fazekas"'
Autor:
Fotios C Papadopoulos, Louise Frisen, Ulf Elofsson, Fatih Özel, Malin Indremo, Georgios Karamanis, Ulrika Beckman, Attila Fazekas, Magnus Isaksson, Lotta Sandström, Nils Thelin, Åsa Tivesten, Jeanette Wahlberg, Owe Bodlund
Publikováno v:
BMJ Open, Vol 13, Iss 4 (2023)
Introduction There has been a drastic increase in the reported number of people seeking help for gender dysphoria in many countries over the last two decades. Yet, our knowledge of gender dysphoria and related outcomes is restricted due to the lack o
Externí odkaz:
https://doaj.org/article/9b5cfd2e50e64b69b48812cbd292582b
Autor:
Dávid Paár, Antal Kovács, Miklós Stocker, Márk Hoffbauer, Attila Fazekas, József Betlehem, Barbara Bergier, Pongrác Ács
Publikováno v:
BMC Public Health, Vol 21, Iss S1, Pp 1-9 (2021)
Abstract Background The so-called sports consumption models are looking for the factors that influence the sports spending of households. This paper aims to examine the Hungarian, Polish and German households’ sports expenditures which can be an im
Externí odkaz:
https://doaj.org/article/d522d1c038444c619cf0522b0578fa63
Autor:
Szilvia Szeghalmy, Attila Fazekas
Publikováno v:
Sensors, Vol 23, Iss 4, p 2333 (2023)
Nowadays, the solution to many practical problems relies on machine learning tools. However, compiling the appropriate training data set for real-world classification problems is challenging because collecting the right amount of data for each class
Externí odkaz:
https://doaj.org/article/5a8f932350b84a5d8ebf98af0b8884b2
Autor:
Szilvia Szeghalmy, Attila Fazekas
Publikováno v:
Computers, Vol 11, Iss 5, p 73 (2022)
Data imbalance is a serious problem in machine learning that can be alleviated at the data level by balancing the class distribution with sampling. In the last decade, several sampling methods have been published to address the shortcomings of the in
Externí odkaz:
https://doaj.org/article/24553d2626de4a08bd597469f713b258
Autor:
Attila Fazekas, György Kovács
Publikováno v:
Neurocomputing. 519:135-147
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91c668818aa39b6ee1f41a62d889449b
https://doi.org/10.1016/j.neucom.2022.11.037
https://doi.org/10.1016/j.neucom.2022.11.037
Autor:
Fatih Özel, Malin Indremo, Georgios Karamanis, Ulf Elofsson, Ulrika Beckman, Attila Fazekas, Louise Frisén, Magnus Isaksson, Lotta Sandström, Nils Thelin, Åsa Tivesten, Jeanette Wahlberg, Alkistis Skalkidou, Owe Bodlund, Fotios C Papadopoulos
IntroductionThere has been a drastic increase in the reported number of people seeking help for gender dysphoria in many countries over the last two decades. Yet, our knowledge of gender dysphoria and related outcomes is restricted due to the lack of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb5906ef29bf185c2c6892a03d0c2a5f
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-207692
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-207692
Preferences for Gender Affirming Treatment and Associated Factors Among Transgender People in Sweden
Autor:
Fotios C. Papadopoulos, Nils Thelin, Ulrika Beckman, Cathrine Axfors, Lotta Sandström, Attila Fazekas, Lovisa L. Rasmusson, Louise Frisén, Stavros Iliadis, Jeanette Wahlberg, Alkistis Skalkidou
Publikováno v:
Sexuality Research and Social Policy. 20:479-490
Introduction Gender affirming surgery of primary and/or secondary sex characteristics has been shown to alleviate gender dysphoria. A descriptive snapshot of current treatment preferences is useful to understand the needs of the transgender populatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85dc7f3334fcfb848af6b2d522302b61
https://doi.org/10.1007/s13178-021-00650-2
https://doi.org/10.1007/s13178-021-00650-2
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031135873
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e059e1c90f1a94807dca343543426a76
https://doi.org/10.1007/978-3-031-13588-0_79
https://doi.org/10.1007/978-3-031-13588-0_79
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031135873
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b95a161c15183c8423dffe4fc3de9c73
https://doi.org/10.1007/978-3-031-13588-0_81
https://doi.org/10.1007/978-3-031-13588-0_81
Autor:
Attila Fazekas, György Kovács
In the last 15 years, the segmentation of vessels in retinal images has become an intensively researched problem in medical imaging, with hundreds of algorithms published. One of the de facto benchmarking data sets of vessel segmentation techniques i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab1069caebd1993f090f226c82c2c74