Zobrazeno 1 - 10
of 341
pro vyhledávání: '"Patrick Valduriez"'
Autor:
Raphael Saldanha, Reza Akbarinia, Marcel Pedroso, Victor Ribeiro, Carlos Cardoso, Eduardo H. M. Pena, Patrick Valduriez, Fabio Porto
Publikováno v:
Environmental Data Science, Vol 3 (2024)
Climate trends and weather indicators are used in several research fields due to their importance in statistical modeling, frequently used as covariates. Usually, climate indicators are available as grid files with different spatial and time resoluti
Externí odkaz:
https://doaj.org/article/f6b4f0b4f303466c82f38f3431fe559a
Autor:
Renan Souza, Vitor Silva, Alexandre A. B. Lima, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Publikováno v:
PeerJ Computer Science, Vol 7, p e527 (2021)
Complex scientific experiments from various domains are typically modeled as workflows and executed on large-scale machines using a Parallel Workflow Management System (WMS). Since such executions usually last for hours or days, some WMSs provide use
Externí odkaz:
https://doaj.org/article/54092c46b8e8428bbc24d660e218c89a
Autor:
Vítor Silva, Vinícius Campos, Thaylon Guedes, José Camata, Daniel de Oliveira, Alvaro L.G.A. Coutinho, Patrick Valduriez, Marta Mattoso
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100592- (2020)
DfAnalyzer is a tool for monitoring, debugging, and analyzing dataflows generated by Computational Science and Engineering (CSE) applications. It collects strategic raw data, registering provenance data, and enabling query processing, all asynchronou
Externí odkaz:
https://doaj.org/article/4b8bb1755f344c3e9ea46a777aa80b99
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (1), pp.457-470. ⟨10.1109/TITS.2020.3011952⟩
IEEE Transactions on Intelligent Transportation Systems, IEEE, In press, pp.1-14. ⟨10.1109/TITS.2020.3011952⟩
IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (1), pp.457-470. ⟨10.1109/TITS.2020.3011952⟩
IEEE Transactions on Intelligent Transportation Systems, IEEE, In press, pp.1-14. ⟨10.1109/TITS.2020.3011952⟩
International audience; Cooperative Intelligent Transport Systems (C-ITS) is a promising technology to make transportation safer and more efficient. Ridesharing for long-distance is becoming a key means of transportation in C-ITS. In this paper, we f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8c333cfd28077153f3aca91d6fa3e12
https://doi.org/10.1109/tits.2020.3011952
https://doi.org/10.1109/tits.2020.3011952
Publikováno v:
SBBD 2022-Simpósio Brasileiro de Banco de Dados
SBBD 2022-Simpósio Brasileiro de Banco de Dados, SBBD, Sep 2022, Buzios, Brazil. pp.1-12, ⟨10.5753/sbbd.2022.224638⟩
SBBD 2022-Simpósio Brasileiro de Banco de Dados, SBBD, Sep 2022, Buzios, Brazil. pp.1-12, ⟨10.5753/sbbd.2022.224638⟩
XXXVII WORKSHOP BRASILEIRO DE INTEGRAÇÃO DE BANCOS DE DADOS E INTELIGÊNCIA ARTIFICIAL; International audience; Spatio-temporal Predictive Queries encompass a spatio-temporal constraint, defining a region, a target variable, and an evaluation metri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::112d45b3b42809f876831b8fab4229e6
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03798483/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03798483/document
Autor:
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
Publikováno v:
Concurrency and Computation: Practice and Experience
Concurrency and Computation: Practice and Experience, In press, Special issue, pp.e7272. ⟨10.1002/cpe.7272⟩
Concurrency and Computation: Practice and Experience, In press, Special issue, pp.e7272. ⟨10.1002/cpe.7272⟩
Although more layers and more parameters generally improve the accuracy of the models, such big models generally have high computational complexity and require big memory, which exceed the capacity of small devices for inference and incurs long train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0381116e492b62a73bc6e80be5dbec5
http://arxiv.org/abs/2207.06667
http://arxiv.org/abs/2207.06667
Autor:
Patrick Valduriez
Publikováno v:
SIGMOD record
SIGMOD record, ACM, 2021, 50 (2), pp.30-32
SIGMOD record, 2021, 50 (2), pp.30-32. ⟨10.1145/3484622.3484628⟩
SIGMOD record, ACM, 2021, 50 (2), pp.30-32
SIGMOD record, 2021, 50 (2), pp.30-32. ⟨10.1145/3484622.3484628⟩
International audience; I have been working on research in data management for the last 40 years. I like my job and my research institution (Inria, the French national research institute for computer science), which have offered me great opportunitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38b2ba76212a14eb10109e469e275e2b
https://doi.org/10.1145/3484622.3484628
https://doi.org/10.1145/3484622.3484628
Autor:
Patrick Valduriez, Djamel Edine Yagoubi, Themis Palpanas, Boyan Kolev, Florent Masseglia, Reza Akbarinia, Oleksandra Levchenko, Dennis Shasha
Publikováno v:
Knowledge and Information Systems (KAIS)
Knowledge and Information Systems (KAIS), Springer, In press
Knowledge and Information Systems (KAIS), 2021, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩
Knowledge and Information Systems (KAIS), Springer, In press, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩
Knowledge and Information Systems (KAIS), Springer, In press
Knowledge and Information Systems (KAIS), 2021, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩
Knowledge and Information Systems (KAIS), Springer, In press, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩
International audience; This paper presents parallel solutions (developed based on two state-of-the-art algorithms iSAX and sketch) for evaluating kNN (k nearest neighbor) queries on large databases of time series, compares them based on various meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3efc4ea43dcc30827f90d8fcb9677498
https://doi.org/10.1007/s10115-020-01518-4
https://doi.org/10.1007/s10115-020-01518-4
Publikováno v:
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing, 2022, 166, pp.71-94. ⟨10.1016/j.jpdc.2022.04.004⟩
Journal of Parallel and Distributed Computing, 2022, 166, pp.71-94. ⟨10.1016/j.jpdc.2022.04.004⟩
International audience; The explosion of data volumes generated by an increasing number of applications is strongly impacting the evolution of distributed digital infrastructures for data analytics and machine learning (ML). While data analytics used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aa63808de36264efa333690f2328681
Autor:
Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
Publikováno v:
Euro-Par 2021: Parallel Processing Workshops ISBN: 9783031061554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69b707dc7d9cbfa16ff5c610b43d34e9
https://doi.org/10.1007/978-3-031-06156-1_10
https://doi.org/10.1007/978-3-031-06156-1_10