Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Marcin Plociennik"'
Autor:
Alvaro Lopez Garcia, Jesus Marco De Lucas, Marica Antonacci, Wolfgang Zu Castell, Mario David, Marcus Hardt, Lara Lloret Iglesias, Germen Molto, Marcin Plociennik, Viet Tran, Andy S. Alic, Miguel Caballer, Isabel Campos Plasencia, Alessandro Costantini, Stefan Dlugolinsky, Doina Cristina Duma, Giacinto Donvito, Jorge Gomes, Ignacio Heredia Cacha, Keiichi Ito, Valentin Y. Kozlov, Giang Nguyen, Pablo Orviz Fernandez, Zdenek Sustr, Pawel Wolniewicz
Publikováno v:
IEEE Access, Vol 8, Pp 18681-18692 (2020)
In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models creation, training, validation and t
Externí odkaz:
https://doaj.org/article/39de787ae5514e57996e126117d4770b
Autor:
Szymon Mueller, Marcin Plociennik, Maciej Zacharczuk, Adam Fojud, Michal Blaszczak, Alicja Laskowska, Raul Palma, Magdalena Jakubowska, Andrzej Wojtowicz
Publikováno v:
2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84c6b4c60a821d0433cb39d56c8d97ec
https://doi.org/10.1109/coins54846.2022.9854950
https://doi.org/10.1109/coins54846.2022.9854950
Autor:
Raul Palma, Ioanna Roussaki, Till Döhmen, Rob Atkinson, Soumya Brahma, Christoph Lange, George Routis, Marcin Plociennik, Szymon Mueller
Publikováno v:
Information and Communication Technologies for Agriculture—Theme III: Decision ISBN: 9783030841515
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b0e28deb112f83afd5770208c7bd27
https://doi.org/10.1007/978-3-030-84152-2_1
https://doi.org/10.1007/978-3-030-84152-2_1
Autor:
Gergely Sipos, Iulia Popescu, Rob Carrillo, Giuseppe La Rocca, Debora Testi, Marcin Plociennik, Sy Holsinger, Mark van de Sanden, Owen Appleton, Sergio Andreozzi
The EOSC-hub project involves infrastructure providers from the EGI Federation and EUDAT CDI, and technology providers from INDIGO-DataCloud, with the purpose of offering services, software and data repositories to support research and innovation. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d342c69b35b74e9998a499a54260ffc
Autor:
Gergely Sipos, Justin Clark-Casey, Michal Prochazka, Andrew Lahiff, Marcin Plociennik, Thierry Carval, Peter Thijsse, Carl-Fredrik Enell, Rikard Slapak, Luca Trani, Javier Quinteros, Hanno Holties, Alex Vermeulen, Peterseil Johannes, Eric Yen
WP8 includes eight Competence Centres (CCs) that work on establishing infrastructures to support users in coping with the data deluge in various compute intensive data analysis scenarios. This document provides the final report about the CC activitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22f51820a4dbbd5ca77ff420c3e788d0
Autor:
Marjan Grootveld, Ellen Leenarts, Ilona von Stein, Cees Hof, Giuseppe La Rocca, Iryna Kuchma, Pedro Príncipe, Alexei Belotserkovsky, Rene Belsø, Thibaud Cayla, Helen Clare, Gerard Coen, Ingrid Dillo, Ilaria Fava, Vincent Favre-Nicolin, Sonja Filiposka, Gwen Franck, Celia van Gelder, Felix van Gelderen, Lowri Harris, Maggie Hellström, Frans Huigen, Vasso Kalaitzi, Mateusz Kuzak, Frances Madden, Ivan Martin Hernandez, Irina Mikhailava, Marcin Plociennik, Päivi Rauste, Eloy Rodrigues, Hugh Shanahan, Erzsébet Tóth-Czifra, Irena Vipavc Brvar, Angus Whyte, Tatsiana Yankelevich, Katerina Zourou
This document "TrainingInTheEOSC_WorkshopReport_01_00.pdf"is the output of a three-day workshop on Training in the EOSC, 26-28 February 2020, The Hague, The Netherlands. The workshop was organised by DANS in collaboration with EUDAT, EGI and OpenAIRE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e2e021c1b443440acfce33d0a2da1ab
Autor:
Viet Tran, Doina Cristina Duma, Stefan Dlugolinsky, L. Lloret Iglesias, V. Kozlov, Zděnek Šustr, Marica Antonacci, Wolfgang zu Castell, Germán Moltó, Pawel Wolniewicz, Andy S. Alic, Miguel Caballer, Jorge Gomes, Marcin Plociennik, Jesús Marco de Lucas, Ignacio Heredia Cacha, Isabel Campos Plasencia, Giang Nguyen, Mario David, Álvaro López García, Marcus Hardt, Keiichi Ito, Alessandro Costantini, Giacinto Donvito, Pablo Orviz Fernández
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
IEEE Access, Vol 8, Pp 18681-18692 (2020)
IEEE Access
IEEE access, 8, 18681–18692
IEEE Access 8, 18681-18692 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
instname
IEEE Access, Vol 8, Pp 18681-18692 (2020)
IEEE Access
IEEE access, 8, 18681–18692
IEEE Access 8, 18681-18692 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models creation, training, validation and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7450c35c2ae9e79775d66339c6cb94fb
http://hdl.handle.net/10261/221872
http://hdl.handle.net/10261/221872
Publikováno v:
Plasma Physics and Controlled Fusion. 63:084004
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db9905327084b5f338692f7e4309911d
https://doi.org/10.1088/1361-6587/ac08f8
https://doi.org/10.1088/1361-6587/ac08f8
Autor:
Tomasz Rajtar, Gianluca Insolvibile, Sergios Soursos, Mario Kusek, Vasileios Glykantzis, Michael Jacoby, Szymon Mueller, Marcin Plociennik, Ivana Podnar Zarko, Matteo Pardi, Aleksandar Antonic
Publikováno v:
GIoTS
2019 Global IoT Summit (GIoTS)
2019 Global IoT Summit (GIoTS)
The current IoT landscape is dominated by cloud-based platforms offering non-standardized interfaces to access virtualized IoT resources and adopting proprietary information models. The implementation of cross-platform and cross-domain IoT applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78cc2e688d49ad7d8d85a55a13fe0a0b
https://www.bib.irb.hr/1020924
https://www.bib.irb.hr/1020924
Autor:
F. Robin, A. Maslennikov, Marcin Plociennik, D. Figat, T. T. Ribeiro, Frederic Imbeaux, Everton Ferreira Rossi, S. D. Pinches, L. Fleury, M. Hölzl, Irina Voitsekhovitch, K. S. Kang, D. Kaljun, T.-M. Tran, H. Leggate, T. B. Feher, Roman Hatzky, José Maria N. David, D. P. Coster, Stéphane Heuraux, David Tskhakaya, Albert Gutierrez-Milla, Bartek Palak, J. Signoret, F. Iannone, D. Yadykin, S. Mochalskyy, M. Martone, D. C. McDonald, J. Hollocombe, Giovanni Bracco, C. Vouland, Richard Leopold Kamendje, J. Noe, X. Sáez, Michal Owsiak, O. Hoenen, F. da Silva, V. Pais, T. Aniel, Gabriele Manduchi
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Fusion Science and Technology
Recercat. Dipósit de la Recerca de Catalunya
instname
Fusion science and technology 74 (2018): 186–197. doi:10.1080/15361055.2018.1424483
info:cnr-pdr/source/autori:Voitsekhovitch I.; Hatzky R.; Coster D.; Imbeaux F.; McDonald D.C.; Feher T.B.; Kang K.S.; Leggate H.; Martone M.; Mochalskyy S.; Saez X.; Ribeiro T.; Tran T.-M.; Gutierrez-Milla A.; Aniel T.; Figat D.; Fleury L.; Hoenen O.; Hollocombe J.; Kaljun D.; Manduchi G.; Owsiak M.; Pais V.; Palak B.; Plociennik M.; Signoret J.; Vouland C.; Yadykin D.; Robin F.; Iannone F.; Bracco G.; David J.; Maslennikov A.; Noe J.; Rossi E.; Kamendje R.; Heuraux S.; Holzl M.; Pinches S.D.; Da Silva F.; Tskhakaya D./titolo:Recent EUROfusion Achievements in Support of Computationally Demanding Multiscale Fusion Physics Simulations and Integrated Modeling/doi:10.1080%2F15361055.2018.1424483/rivista:Fusion science and technology/anno:2018/pagina_da:186/pagina_a:197/intervallo_pagine:186–197/volume:74
Universitat Politècnica de Catalunya (UPC)
Fusion Science and Technology
Recercat. Dipósit de la Recerca de Catalunya
instname
Fusion science and technology 74 (2018): 186–197. doi:10.1080/15361055.2018.1424483
info:cnr-pdr/source/autori:Voitsekhovitch I.; Hatzky R.; Coster D.; Imbeaux F.; McDonald D.C.; Feher T.B.; Kang K.S.; Leggate H.; Martone M.; Mochalskyy S.; Saez X.; Ribeiro T.; Tran T.-M.; Gutierrez-Milla A.; Aniel T.; Figat D.; Fleury L.; Hoenen O.; Hollocombe J.; Kaljun D.; Manduchi G.; Owsiak M.; Pais V.; Palak B.; Plociennik M.; Signoret J.; Vouland C.; Yadykin D.; Robin F.; Iannone F.; Bracco G.; David J.; Maslennikov A.; Noe J.; Rossi E.; Kamendje R.; Heuraux S.; Holzl M.; Pinches S.D.; Da Silva F.; Tskhakaya D./titolo:Recent EUROfusion Achievements in Support of Computationally Demanding Multiscale Fusion Physics Simulations and Integrated Modeling/doi:10.1080%2F15361055.2018.1424483/rivista:Fusion science and technology/anno:2018/pagina_da:186/pagina_a:197/intervallo_pagine:186–197/volume:74
Integrated modeling (IM) of present experiments and future tokamak reactors requires the provision of computational resources and numerical tools capable of simulating multiscale spatial phenomena as well as fast transient events and relatively slow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b25c96cf45b5bf2365126d90b3a0b9
http://hdl.handle.net/2117/120660
http://hdl.handle.net/2117/120660