Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pantelis Z. Lappas"'
Autor:
Andy Adler, Nikolaos Beredimas, Benjamin Bonnal, Fabian Braun, Laura Caldani, Georgia Chasapidou, Aris Cheimariotis, Ioanna Chouvarda, Olivier Chételat, Meng Dai, Paulo de Carvalho, Damien Ferrario, Anaxagoras Fotopoulos, Inéz Frerichs, Kostas Haris, Iman Hesso, Laura Romero Jaque, Evangelos Kaimakamis, Reem Kayyali, Vassilis Kilintzis, Pantelis Z. Lappas, Livia Lasarow, Irini Lekka, Mathieu Lemay, Bruno Machado Rocha, Nicos Maglaveras, Alda Marques, Alexis Melitsiotis, Shereen Nabhani-Gebara, Rui Pedro Paiva, Rita Paradiso, Eleni Perantoni, Diogo Pessoa, Georgios Petmezas, Martin Proença, Michaël Rapin, Philippe Renevey, Vicente Traver Salcedo, Sara Souto-Miranda, Paschalis Steiropoulos, Claas Strodthoff, Barbara Vogt, Josias Wacker, Norbert Weiler, Gürkan Yilmaz, Zhanqi Zhao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b05f6ccf30dba5950474f7a353a08c6e
https://doi.org/10.1016/b978-0-12-823447-1.01002-2
https://doi.org/10.1016/b978-0-12-823447-1.01002-2
The main objective of this chapter is to propose a hybrid evolutionary feature selection approach for solving credit scoring problems subject to constraints. A hybrid scheme combining filter and wrapper-based approaches is proposed to develop an accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a543e19ee4641a64c5a3fedf00a76d0b
https://doi.org/10.4018/978-1-7998-5077-9.ch028
https://doi.org/10.4018/978-1-7998-5077-9.ch028
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030411954
The purpose of this chapter is to highlight the use of computational intelligence algorithms for solving a special class of combinatorial optimization problems in transportation science called routing problems. Classical routing problems, such as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aed54b9b6f44bcf4c144a16786871f2
https://doi.org/10.1007/978-3-030-41196-1_15
https://doi.org/10.1007/978-3-030-41196-1_15
Publikováno v:
Applied Soft Computing. 107:107391
Most credit scoring algorithms are designed with the assumption to be executed in an environment characterized by an automatic processing of credit applications, without considering the input of expert opinions. Since in credit scoring applications e
Publikováno v:
Journal of Mathematics and System Science. 7
Publikováno v:
Higher Education Studies. 8:42
The main objective of this paper is to propose a didactic framework for teaching Applied Mathematics in higher education. After describing the structure of the framework, several applications of inquiry-based learning in teaching numerical analysis a