On the prediction of dispenser status in ATM using gradient boosting method

V. V. Shcherbitsky; A. A. Panachev; M. A. Medvedeva; E. I. Kazakova

doi:10.1063/1.5137948

On the prediction of dispenser status in ATM using gradient boosting method

V. V. Shcherbitsky, A. A. Panachev, M. A. Medvedeva, E. I. Kazakova

Resultado de pesquisa: Conference contribution › revisão de pares

Idioma original	English
Título da publicação do anfitrião	Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019
Editores	TE Simos, Z Kalogiratou, T Monovasilis
Editora	American Institute of Physics Inc.
Número de páginas	4
ISBN (eletrónico)	9780735419339
DOIs	https://doi.org/10.1063/1.5137948
Estado da publicação	Published - 10 dez 2019
Evento	International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019 - Rhodes, Greece Duração: 1 mai 2019 → 5 mai 2019

Série de publicação

Nome	AIP Conference Proceedings
Volume	2186
ISSN (impresso)	0094-243X
ISSN (eletrónico)	1551-7616

Conference

Conference	International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019
País/Território	Greece
Cidade	Rhodes
Período	01/05/2019 → 05/05/2019

ASJC Scopus subject areas

Physics and Astronomy(all)

WoS ResearchAreas Categories

Mathematics, Applied

Acesso ao documento

10.1063/1.5137948

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Shcherbitsky, V. V., Panachev, A. A., Medvedeva, M. A., & Kazakova, E. I. (2019). On the prediction of dispenser status in ATM using gradient boosting method. Em TE. Simos, Z. Kalogiratou, & T. Monovasilis (Eds.), Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019 [050015] (AIP Conference Proceedings; Vol. 2186). American Institute of Physics Inc.. https://doi.org/10.1063/1.5137948

Shcherbitsky, V. V. ; Panachev, A. A. ; Medvedeva, M. A. et al. / On the prediction of dispenser status in ATM using gradient boosting method. Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. editor / TE Simos ; Z Kalogiratou ; T Monovasilis. American Institute of Physics Inc., 2019. (AIP Conference Proceedings).

@inproceedings{4c5ec08072a44082af784f951b22bda9,

title = "On the prediction of dispenser status in ATM using gradient boosting method",

keywords = "ATM, classification, Gradient boosting, machine learning",

author = "Shcherbitsky, {V. V.} and Panachev, {A. A.} and Medvedeva, {M. A.} and Kazakova, {E. I.}",

year = "2019",

month = dec,

day = "10",

doi = "10.1063/1.5137948",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "TE Simos and Z Kalogiratou and T Monovasilis",

booktitle = "Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019",

address = "United States",

note = "International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019 ; Conference date: 01-05-2019 Through 05-05-2019",

}

Shcherbitsky, VV , Panachev, AA , Medvedeva, MA & Kazakova, EI 2019, On the prediction of dispenser status in ATM using gradient boosting method. em TE Simos, Z Kalogiratou & T Monovasilis (eds), Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019., 050015, AIP Conference Proceedings, vol. 2186, American Institute of Physics Inc., International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019, Rhodes, Greece, 01/05/2019. https://doi.org/10.1063/1.5137948

On the prediction of dispenser status in ATM using gradient boosting method. / Shcherbitsky, V. V.; Panachev, A. A.; Medvedeva, M. A. et al.

Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. ed. / TE Simos; Z Kalogiratou; T Monovasilis. American Institute of Physics Inc., 2019. 050015 (AIP Conference Proceedings; Vol. 2186).

Resultado de pesquisa: Conference contribution › revisão de pares

TY - GEN

T1 - On the prediction of dispenser status in ATM using gradient boosting method

AU - Shcherbitsky, V. V.

AU - Panachev, A. A.

AU - Medvedeva, M. A.

AU - Kazakova, E. I.

PY - 2019/12/10

Y1 - 2019/12/10

KW - ATM

KW - classification

KW - Gradient boosting

KW - machine learning

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UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000619245800035

U2 - 10.1063/1.5137948

DO - 10.1063/1.5137948

M3 - Conference contribution

AN - SCOPUS:85076774406

T3 - AIP Conference Proceedings

BT - Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019

A2 - Simos, TE

A2 - Kalogiratou, Z

A2 - Monovasilis, T

PB - American Institute of Physics Inc.

T2 - International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019

Y2 - 1 May 2019 through 5 May 2019

ER -

Shcherbitsky VV , Panachev AA , Medvedeva MA , Kazakova EI. On the prediction of dispenser status in ATM using gradient boosting method. Em Simos TE, Kalogiratou Z, Monovasilis T, editores, Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2019, ICCMSE 2019. American Institute of Physics Inc. 2019. 050015. (AIP Conference Proceedings). https://doi.org/10.1063/1.5137948

On the prediction of dispenser status in ATM using gradient boosting method

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