Výsledky vyhledávání - "Marie Le Guilly"

ADESIT : Visualisez les Limites de vos Données pour l'Apprentissage Supervisé

Autor: Pierre Faure--giovagnoli, Marie Le Guilly, Vasile-Marian Scuturici, Jean-Marc Petit

Publikováno v: VLDB 2021: 47thInternational Conference on Very Large Data Bases proceedings
International Conference on Very Large Data Bases
International Conference on Very Large Data Bases, Aug 2021, Copenhague, Denmark
HAL

Thanks to the numerous machine learning tools available to us nowadays, it is easier than ever to derive a model from a dataset in the frame of a supervised learning problem. However, when this model behaves poorly compared with an expected performan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2986ccd76d9edc6dfff0de82b1cd6b81
https://hal.archives-ouvertes.fr/hal-03242380

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Attempt to Better Trust Classification Models: Application to the Ageing of Refrigerated Transport Vehicles

Autor: Jean-Marc Petit, Gérald Cavalier, Rémi Revellin, Claudia Capo, Marie Le Guilly, Jocelyn Bonjour, Vasile-Marian Scuturici

Publikováno v: Intelligent Systems in Industrial Applications ISBN: 9783030671471
ISMIS (Industrial Paper)

CEMAFROID is a company with a french delegated public service, delivering conformity attestations of refrigerated transport vehicles. It studies the ageing of those vehicles, depending on several physiochemical and mechanical factors, for which physi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::479a91f55ef8a5bf55ce9f85e5508218
https://doi.org/10.1007/978-3-030-67148-8_2

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Contextualisation of Datasets for better classification models: Application to Airbus Helicopters Flight Data

Autor: Nassia Daouayry, Pierre-Loic Maisonneuve, Vasile-Marian Scuturici, Jean-Marc Petit, Ammar Mechouche, Marie Le Guilly

Publikováno v: New Trends in Databases and Information Systems
ADBIS-24th European Conference on Advances in Databases and Information Systems
ADBIS-24th European Conference on Advances in Databases and Information Systems, Aug 2020, Lyon, France. ⟨10.1007/978-3-030-54623-6_4⟩
Communications in Computer and Information Science ISBN: 9783030546229
ADBIS (Short Papers)

International audience; For helicopters, anticipating failures is crucial. To this end, the analysis of flight data allows to develop predictive maintenance approaches , for which Airbus Helicopters (AH) has proposed several solutions , some based on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffb29373165a1f3b163d901dfe956769
https://hal.archives-ouvertes.fr/hal-02933410

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SQL query extensions for imprecise questions

Autor: Vasile-Marian Scuturici, Marie Le Guilly, Jean-Marc Petit

Publikováno v: Data and Knowledge Engineering
Data and Knowledge Engineering, Elsevier, 2021, pp.101944. ⟨10.1016/j.datak.2021.101944⟩

International audience; Within the big data tsunami, relational databases and SQL remain inescapable in most cases for accessing data. If SQL is easy-to-use and has proved its robustness over the years, it is not always easy to formulate SQL queries

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90ce4b01541854ce3d3afe3ba50e840a
https://doi.org/10.1016/j.datak.2021.101944

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Evaluating Classification Feasibility Using Functional Dependencies

Autor: Vasile-Marian Scuturici, Jean-Marc Petit, Marie Le Guilly

Publikováno v: Transactions on Large-Scale Data-and Knowledge-Centered Systems XLIV ISBN: 9783662622704

With the vast amount of available tools and libraries for data science, it has never been easier to make use of classification algorithms: a few lines of code are enough to apply dozens of algorithms on any dataset. It is therefore “super easy” f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::89a74ff6230786b274c3856fdb3531bb
https://doi.org/10.1007/978-3-662-62271-1_5

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ExplIQuE

Autor: Vasile-Marian Scuturici, Marie Le Guilly, Jean-Marc Petit, Ihab F. Ilyas

Publikováno v: CIKM

To help databases users who have just started learning SQL or are not familiar with their database, we propose ExplIQuE, an exploration interface with query extensions. Its purpose is to assist users to smoothly dive into data exploration, and to be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad3d493c3ab82553f769d8f37a798208
https://doi.org/10.1145/3357384.3357847

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A First Experimental Study on Functional Dependencies for Imbalanced Datasets Classification

Autor: Marian Scuturici, Marie Le Guilly, Jean-Marc Petit

Publikováno v: 12th International Workshop on Information Search, Integration, and Personalization (ISIP2018)
12th International Workshop on Information Search, Integration, and Personalization (ISIP2018), May 2018, Fukuoka, Japan
Communications in Computer and Information Science ISBN: 9783030302832
ISIP
HAL

International audience; Imbalanced datasets for classification is a recurring problem in machine learning, as most real-life datasets present classes that are not evenly distributed. This causes many problems for classification algorithms trained on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ae2ddfb8ec6d096d5f24a95bbf49425
https://hal.archives-ouvertes.fr/hal-02190890

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SQL Query Completion for Data Exploration

Autor: Marie Le Guilly, Jean-Marc Petit, Vasile-Marian SCUTURICI

Publikováno v: [Research Report] INSA Lyon. 2018
HAL

Within the big data tsunami, relational databases and SQL are still there and remain mandatory in most of cases for accessing data. On the one hand, SQL is easy-to-use by non specialists and allows to identify pertinent initial data at the very begin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ab3cdd48b513fc607663107c9914d4b5
https://hal.archives-ouvertes.fr/hal-01703346/document

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