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Editorial

Acknowledgment to Reviewers of MAKE in 2020

MDPI AG, St. Alban-Anlage 66, 4052 Basel, Switzerland
Mach. Learn. Knowl. Extr. 2021, 3(1), 168-169; https://doi.org/10.3390/make3010008
Published: 27 January 2021
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that MAKE maintains its standards for the high quality of its published papers. Thanks to the cooperation of our reviewers, in 2020, the median time to first decision was 20.5 days and the median time to publication was 42 days. The editors would like to express their sincere gratitude to the following reviewers for their precious time and dedication, regardless of whether the papers were finally published:
Abbiati, GiuseppeLegg, Phil
Abduljabbar, RusulLeopizzi, Rossella
Ahmadnia, BenyaminLi, Honggui
Alghowinem, SharifaLi, Rao
Alvarez-Sousa, AntonioLiang, Yan
Anagnostopoulos, IoannisLittle, Max
Anochi, JulianaLiu, Bin
Astorino, AnnabellaLiu, Qi
Baggio, GiacomoLivieris, Ioannis E.
Bailey, Neil W.Maiti, Moinak
Balas, Marius M.Markov, Krassimir
Belaïd, AbdelMatetic, Maja
Bourassa, MarkMatrenin, Pavel V.
Campi, CristinaMcCrae, John P.
Canedo, Edna DiasMedvedev, Viktor
Carotenuto, MarcoMi, Chenggang
Casalino, GabriellaMiche, Yoan
Casas-Méndez, BalbinaMikala, Gabor
Castañeda Miranda, AlejandroMohamed, Sameh K.
Chahir, YoussefMohino, Inma
Ciorciari, JosephMollica, Cristina
Civit-Balcells, AntónNaderi, Ehsan
Conceição Junior, Pedro OliveiraOchoa-Ruiz, Gilberto
Conflitti, PaoloOlugbara, Oludayo
Corizzo, RobertoPais, Sebastião
Cozza, VittoriaPanek, Jarosłąw
Csató, LehelPapacharalampous, Georgia
De Brevern, Alexandre G.Papla, Daniel
De Oliveira, Mario AndersonParida, Shantipriya
Demidova, LiliyaPiasini, Eugenio
Deng, WuPikhart, Marcel
Dobre, Robert-AlexandruPisoni, Galena
Domingues, PatricioPitropakis, Nick
Domínguez, Luis VergaraPrati, Ronaldo
Doulamis, NikolaosPrats Boluda, Gema
Drago, CarloQuaresma, Paulo
Duarte Correia, SérgioRa, Moonsoo
Eliseev, VladimirRegner, Tobias
Elmogy, MohammedSaberioon, Mohammadmehdi
Falk, Martin ThomasSalamanca, Juan Jesús
Fanfani, MarcoSalas, Rodrigo
Gabbar, Hossam A.Salazar, Addisson
Gai, ShaoyanSan-Segundo, Rubén
Gamal, DoniaSantoro, Mattia
Garg, HarishSeljan, Sanja
Garrod, BrianSenatore, Rosa
Ghosh, SusantaSepúlveda, Mauricio
Godin, ChristelleShah, Shagan
Gonzalez-Ortega, DavidShao, Dangdang
Grobelna, IwonaShoombuatong, Watshara
Guarino, StefanoSimian, Dana
Herout, AdamSimões, Ana
Ho, Tan-JanSoliman, Ahmed
Hong, Jin B.Sosnowski, Janusz
How, Meng-LeongStielkowski, Wadim
Hsin, Kun-YiSubasi, Abdulhamit
Hutchison, Robert E.Syafrudin, Muhammad
Ieong, RicciTayeb, Shahab
Igual, JorgeTrabelsi, Slim
Izonin, IvanTsiakas, Konstantinos
Jameel, ShoaibUslar, Mathias
Jee-In, KimValero-Mas, Jose J.
Johansen, Mikkel WillumVellido, Alfredo
Karpinski, MikołajVessio, Gennaro
Kazanskiy, NikolayVivero, Janet A
Kieseberg, PeterWang, Wensong
Kim, Jae-HoonWołk, Krzysztof
Kotsiantis, SotirisWu, Yuankai
Krasteva, VesselaYang, LIN F.
Krichen, MoezYousef, Malik
Lagaris, IsaacYu, Xiaojun
Larsen, PeterYun, Beong In
Lavrač, NadaZhang, Lei
Le, Nguyen Quoc Khanh
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MDPI and ACS Style

MAKE Editorial Office. Acknowledgment to Reviewers of MAKE in 2020. Mach. Learn. Knowl. Extr. 2021, 3, 168-169. https://doi.org/10.3390/make3010008

AMA Style

MAKE Editorial Office. Acknowledgment to Reviewers of MAKE in 2020. Machine Learning and Knowledge Extraction. 2021; 3(1):168-169. https://doi.org/10.3390/make3010008

Chicago/Turabian Style

MAKE Editorial Office. 2021. "Acknowledgment to Reviewers of MAKE in 2020" Machine Learning and Knowledge Extraction 3, no. 1: 168-169. https://doi.org/10.3390/make3010008

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