Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Roland Molontay"'
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-34 (2023)
Abstract The fractal nature of complex networks has received a great deal of research interest in the last two decades. Similarly to geometric fractals, the fractality of networks can also be defined with the so-called box-covering method. A network
Externí odkaz:
https://doaj.org/article/229b80d1097d4913b186ed220810bba2
Autor:
Szabolcs Kiss, József Pintér, Roland Molontay, Marcell Nagy, Nelli Farkas, Zoltán Sipos, Péter Fehérvári, László Pecze, Mária Földi, Áron Vincze, Tamás Takács, László Czakó, Ferenc Izbéki, Adrienn Halász, Eszter Boros, József Hamvas, Márta Varga, Artautas Mickevicius, Nándor Faluhelyi, Orsolya Farkas, Szilárd Váncsa, Rita Nagy, Stefania Bunduc, Péter Jenő Hegyi, Katalin Márta, Katalin Borka, Attila Doros, Nóra Hosszúfalusi, László Zubek, Bálint Erőss, Zsolt Molnár, Andrea Párniczky, Péter Hegyi, Andrea Szentesi, Hungarian Pancreatic Study Group
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Pancreatic necrosis is a consistent prognostic factor in acute pancreatitis (AP). However, the clinical scores currently in use are either too complicated or require data that are unavailable on admission or lack sufficient predictive value.
Externí odkaz:
https://doaj.org/article/b9133fcaa0754a64b842098dc1d332e5
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/87f1ace76d1d4986a23954593eb604e7
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-37 (2021)
Abstract Research on fractal networks is a dynamically growing field of network science. A central issue is to analyze the fractality with the so-called box-covering method. As this problem is known to be NP-hard, a plethora of approximating algorith
Externí odkaz:
https://doaj.org/article/8c15a22075294354b63a3a854b6010ed
Autor:
Balázs Kui, József Pintér, Roland Molontay, Marcell Nagy, Nelli Farkas, Noémi Gede, Áron Vincze, Judit Bajor, Szilárd Gódi, József Czimmer, Imre Szabó, Anita Illés, Patrícia Sarlós, Roland Hágendorn, Gabriella Pár, Mária Papp, Zsuzsanna Vitális, György Kovács, Eszter Fehér, Ildikó Földi, Ferenc Izbéki, László Gajdán, Roland Fejes, Balázs Csaba Németh, Imola Török, Hunor Farkas, Artautas Mickevicius, Ville Sallinen, Shamil Galeev, Elena Ramírez‐Maldonado, Andrea Párniczky, Bálint Erőss, Péter Jenő Hegyi, Katalin Márta, Szilárd Váncsa, Robert Sutton, Peter Szatmary, Diane Latawiec, Chris Halloran, Enrique de‐Madaria, Elizabeth Pando, Piero Alberti, Maria José Gómez‐Jurado, Alina Tantau, Andrea Szentesi, Péter Hegyi, the Hungarian Pancreatic Study Group
Publikováno v:
Clinical and Translational Medicine, Vol 12, Iss 6, Pp n/a-n/a (2022)
Abstract Background Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients at high risk for developing a severe course of the disease is crucial for preventing organ failure and de
Externí odkaz:
https://doaj.org/article/c823c331c165488ea2f4a041c86aaa9d
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-24 (2021)
Abstract Internet memes have become an increasingly pervasive form of contemporary social communication that attracted a lot of research interest recently. In this paper, we analyze the data of 129,326 memes collected from Reddit in the middle of Mar
Externí odkaz:
https://doaj.org/article/4406823685134afb83e266311582b5e2
Autor:
Joanna Alvarado-Uribe, Paola Mejía-Almada, Ana Luisa Masetto Herrera, Roland Molontay, Isabel Hilliger, Vinayak Hegde, José Enrique Montemayor Gallegos, Renato Armando Ramírez Díaz, Hector G. Ceballos
Publikováno v:
Data, Vol 7, Iss 9, p 119 (2022)
High dropout rates and delayed completion in higher education are associated with considerable personal and social costs. In Latin America, 50% of students drop out, and only 50% of the remaining ones graduate on time. Therefore, there is an urgent n
Externí odkaz:
https://doaj.org/article/e5f96b51653c4bdfb0cbaad37579b19e
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1744 (2021)
Understanding what (and to what extent) psychological factors affect university performance has attracted a lot of research interest recently. In this paper, we use logistic regression models to study the incremental predictive power of positive psyc
Externí odkaz:
https://doaj.org/article/5c21d6aae0f84851abf893d3d6fd8524
Autor:
Roland Molontay, Marcell Nagy
Publikováno v:
Assessment & Evaluation in Higher Education. 48:419-437
Autor:
Marcell Nagy, Roland Molontay
Publikováno v:
International Journal of Artificial Intelligence in Education.
Student drop-out is one of the most burning issues in STEM higher education, which induces considerable social and economic costs. Using machine learning tools for the early identification of students at risk of dropping out has gained a lot of inter