Výsledky vyhledávání - "Gilles, Trédan"

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(Re)partitioning for stream-enabled computation

Autor: Erwan, Le Merrer, Yizhong, Liang, Gilles, Trédan

Partitioning an input graph over a set of workers is a complex operation. Objectives are twofold: split the work evenly, so that every worker gets an equal share, and minimize edge cut to achieve a good work locality (i.e. workers can work independen

Externí odkaz: http://arxiv.org/abs/1310.8211

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Akademický článek

Urban-Scale NO2 Prediction with Sensors Aboard Bicycles: A Comparison of Statistical Methods Using Synthetic Observations

Autor: Christophe Bertero, Jean-François Léon, Gilles Trédan, Mathieu Roy, Alexandre Armengaud

Publikováno v: Atmosphere, Vol 11, Iss 9, p 1014 (2020)

Mobile devices for city-scale air quality monitoring is receiving increasing attention due to the advent of low-cost and miniaturized sensors. Mobility and crowdsensing have emerged as a new means to investigate the ambient air quality in urban areas

Externí odkaz: https://doaj.org/article/f3ba6763462841478329bd3d5d850d08

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Algorithmic audits of algorithms, and the law

Autor: Erwan Le Merrer, Ronan Pons, Gilles Trédan

Algorithmic decision making is now widespread, ranging from health care allocation to more common actions such as recommendation or information ranking. The aim to audit these algorithms has grown alongside. In this paper, we focus on external audits

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8084e511b7a22cff172119f62d9e6f70
https://inria.hal.science/hal-03583919

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On the Implications of Routing Models on Network Optimization

Autor: Stefan Schmid, Gilles Trédan, Yvonne-Anne Pignolet

Publikováno v: IEEE Transactions on Network and Service Management
IEEE Transactions on Network and Service Management, IEEE, 2021, ⟨10.1109/TNSM.2021.3090312⟩
IEEE Transactions on Network and Service Management, IEEE, 2021, 18 (4), pp.4756-4769. ⟨10.1109/TNSM.2021.3090312⟩
IEEE Transactions on Network and Service Management, 2021, 18 (4), pp.4756-4769. ⟨10.1109/TNSM.2021.3090312⟩

International audience; In network optimization problems, from traffic engineering to network monitoring, the routing model is typically considered as something given and frozen. This paper is motivated by the fundamental question how the ability to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::924eaf16aaddc965d5352881286f9736
https://hal.laas.fr/hal-03278920/file/tnsm21routing.pdf

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Remote explainability faces the bouncer problem

Autor: Erwan Le Merrer, Gilles Trédan

Publikováno v: Nature Machine Intelligence
Nature Machine Intelligence, Nature Research, 2020, 2 (9), pp.529-539. ⟨10.1038/s42256-020-0216-z⟩
Nature Machine Intelligence, 2020, 2 (9), pp.529-539. ⟨10.1038/s42256-020-0216-z⟩

The concept of explainability is envisioned to satisfy society’s demands for transparency about machine learning decisions. The concept is simple: like humans, algorithms should explain the rationale behind their decisions so that their fairness ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49e278ffacacbe370f1852987939461c
https://hal.laas.fr/hal-03048809/document

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Collective Information Processing in Human Phase Separation

Autor: Ramón Escobedo, Bertrand Jayles, Gilles Trédan, Adrien Blanchet, Matthieu Roy, Guy Theraulaz, Roberto Pasqua, Christophe Zanon, Clément Sire

Publikováno v: Philosophical Transactions of the Royal Society B: Biological Sciences
Philosophical Transactions of the Royal Society B: Biological Sciences, Royal Society, The, 2020, 375 (1807), ⟨10.1098/rstb.2019.0801⟩
Philosophical Transactions of the Royal Society B: Biological Sciences, 2020, 375 (1807)
Philosophical Transactions of the Royal Society B: Biological Sciences, Royal Society, The, 2020
Philos Trans R Soc Lond B Biol Sci
Philosophical Transactions of the Royal Society B: Biological Sciences, 2020, 375 (1807), ⟨10.1098/rstb.2019.0801⟩

Social media filters combined with recommender systems can lead to the emergence of filter bubbles and polarized groups. In addition, segregation processes of human groups in certain social contexts have been shown to share some similarities with pha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e8084d89c01204cde13c6bca039fb97
https://hal.archives-ouvertes.fr/hal-02393253

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Adversarial frontier stitching for remote neural network watermarking

Autor: Erwan Le Merrer, Gilles Trédan, Patrick Pérez

Publikováno v: Neural Computing and Applications
Neural Computing and Applications, Springer Verlag, 2019, 32 (13), pp.9233-9244. ⟨10.1007/s00521-019-04434-z⟩
Neural Computing and Applications, 2019, 32 (13), pp.9233-9244. ⟨10.1007/s00521-019-04434-z⟩

The state of the art performance of deep learning models comes at a high cost for companies and institutions, due to the tedious data collection and the heavy processing requirements. Recently, [35, 22] proposed to watermark convolutional neural netw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e8a596926910772d72c65c9a5b56727
https://hal.archives-ouvertes.fr/hal-02264449/document

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Urban-Scale NO2 Prediction with Sensors Aboard Bicycles: A Comparison of Statistical Methods Using Synthetic Observations

Autor: Alexandre Armengaud, Gilles Trédan, Mathieu Roy, Jean-François Léon, Christophe Bertero

Publikováno v: Atmosphere, Vol 11, Iss 1014, p 1014 (2020)
Atmosphere
Atmosphere, 2020, 11 (9), pp.1014. ⟨10.3390/atmos11091014⟩
Volume 11
Issue 9
Atmosphere, MDPI 2020, 11 (9), pp.1014. ⟨10.3390/atmos11091014⟩

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a52aed250c23187934c17246327bcb94
https://doi.org/10.3390/atmos11091014

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Experience Report: Log Mining using Natural Language Processing and Application to Anomaly Detection

Autor: Matthieu Roy, Gilles Trédan, Christophe Bertero, Carla Sauvanaud

Publikováno v: 28th International Symposium on Software Reliability Engineering (ISSRE 2017)
28th International Symposium on Software Reliability Engineering (ISSRE 2017), Oct 2017, Toulouse, France. 10p
ISSRE

International audience; Event logging is a key source of information on a system state. Reading logs provides insights on its activity, assess its correct state and allows to diagnose problems. However, reading does not scale: with the number of mach

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::192daa31d420f9e8656a3f9a988778c4
https://hal.laas.fr/hal-01576291

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Load-Optimal Local Fast Rerouting for Resilient Networks

Autor: Yvonne-Anne Pignolet, Stefan Schmid, Gilles Trédan

Publikováno v: Pignolet, Y A, Schmid, S & Tredan, G 2017, Load-Optimal Local Fast Rerouting for Resilient Networks . in Proceedings-47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 ., 8023135, IEEE, pp. 345-356, 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017, Denver, United States, 26/06/2017 . https://doi.org/10.1109/DSN.2017.43
47th IEEE/IFIP International Conference on Dependable Systems and Networks DSN 2017
47th IEEE/IFIP International Conference on Dependable Systems and Networks DSN 2017, Jun 2017, Denver, United States. 12p
DSN

International audience; Reliable and highly available computer networks must implement resilient fast rerouting mechanisms: upon a link or node failure, an alternative route is determined quickly, without involving the network control plane. Designin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7b38c502465430b96b138d4a8e1a6ec
https://vbn.aau.dk/da/publications/9f69a20c-4f2f-435a-a9c8-498c9639f852

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