Florent MASSEGLIA

Author's posts

Workshop “Émeritat de Patrick Valduriez”, 5 June 2023

Patrick Valduriez a dirigé l’équipe Zenith depuis sa création en 2011. Il est directeur de recherche émérite depuis le 1er avril 2023. À cette occasion, l’équipe organise un worskhop afin de parler des sujets de prédilection de Patrick, qui sont aussi ceux de ses collègues et de l’équipe. Nous y aborderons donc les sujets et …

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Permanent link to this article: https://team.inria.fr/zenith/workshop-emeritat-de-patrick-valduriez/

Seminar by Khadidja Meguelati “Clustering Massivement Distribué via Mélange de Processus de Dirichlet” 9 March 2020

Séminaire Zenith  : 9 mars 2020, 14h Campus St Priest, BAT5, 03.124 Clustering Massivement Distribué via Mélange de Processus de Dirichlet Khadidja Meguelati Zenith, Inria & LIRMM La classification non supervisée (ou clustering) a pour objectif d’identifier des classes pertinentes dans les données. elle est largement utilisée dans de nombreuses applications telles que le marketing, la …

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Permanent link to this article: https://team.inria.fr/zenith/seminar-by-khadidja-meguelati-clustering-massivement-distribue-via-melange-de-processus-de-dirichlet-9-march-2020/

Zenith seminar: Youcef Djenouri “Urban traffic outlier detection”, 14 Feb 2019

Youcef Djenouri will visit the team from Feb12 to Feb19 and he will work on Time Series analytics with us. He will give a talk on Feb14 at 4pm in BAT5-02.022-JPN. Title: “Urban traffic outlier detection” Abstract: In this talk, I present solutions to outlier detection approaches in urban traffic analysis. We divide existing solutions into …

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Permanent link to this article: https://team.inria.fr/zenith/zenith-seminar-youcef-djenouri-urban-traffic-outlier-detection-14-feb-2019/

Thèse CIFRE Ina et Inria : “Apprentissage profond (Deep Learning) à large échelle pour la création de bases de connaissances et la valorisation d’archives”

Thèse CIFRE Ina et Inria : “Apprentissage profond (Deep Learning) à large échelle pour la création de bases de connaissances et la valorisation d’archives” Sujet L’accroissement du nombre de programmes audiovisuels à archiver impose de nouvelles contraintes de productivité sur la documentation. Le développement d’outils automatiques et semi-automatiques pour assister le travail des documentalistes est …

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Permanent link to this article: https://team.inria.fr/zenith/these-cifre-ina-et-inria-apprentissage-profond-deep-learning-a-large-echelle-pour-la-creation-de-bases-de-connaissances-et-la-valorisation-darchives/

Post-doc position: A/B testing guided clustering

Amadeus ( https://amadeus.com/en ) and the Zenith team of Inria ( https://team.inria.fr/zenith/ ) are seeking a postdoctoral fellow in A/B testing, clustering and time series analytics. Title: A/B testing guided clustering Description: The post-doc position takes place in a new partnership between Amadeus and Inria. It is linked to Amadeus’ developments in implementation of intelligent …

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Permanent link to this article: https://team.inria.fr/zenith/post-doc-position-a-b-testing-guided-clustering/

Post-doc position: Similarity Search in Large Scale Time Series

Title: Similarity Search in Large Scale Time Series We are seeking a postdoctoral fellow in time series analytics, in collaboration with Safran ( https://www.safran-group.com/ ). Topic Nowadays, sensors technology is improving, and the number of sensors used for collecting information from different environments is increasing, e.g., from critical systems such as airplane engines. This huge …

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Permanent link to this article: https://team.inria.fr/zenith/similarity-search-in-large-scale-time-series/

PhD Position: Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping

Directors: Esther Pacitti (Zenith team, University Montpellier and Inria, LIRMM), François Tardieu (UMR LEPSE, INRA) and Christophe Pradal (CIRAD) Contact: christophe.pradal@cirad.fr Funding: #Digitag-Inria (Inria PhD contract, Net salary/month: 1600€) Keywords : Scientific Workflow, Distributed Computing, Cloud & Grid Computing, Phenotyping, Computer Vision, Reproducibility Skills: We look for efficient candidates strongly motivated by challenging research topics in …

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Permanent link to this article: https://team.inria.fr/zenith/phd-position-distributed-management-of-scientific-workflows-for-high-throughput-plant-phenotyping/

Archives ouvertes et bases de publications “Exploration et analyse des sources de données pour la recherche et ses environnements” 23 mai 2016

Lundi 23 mai 2016, 9h-17h IRHT (Institut de recherche et d’histoire des textes, 40 avenue d’Iéna, 75116 Paris) Appel à communications L’évolution numérique majeure de la recherche scientifique et de ses impacts societaux, économiques et industriels permet maintenant d’avoir accès aux données scientifiques tels que les textes publiés dans des archives ouvertes, des revues ou …

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Permanent link to this article: https://team.inria.fr/zenith/archives-ouvertes-et-bases-de-publications-exploration-et-analyse-des-sources-de-donnees-pour-la-recherche-et-ses-environnements/

Zenith seminar: Cetin Sahin “PINED-RQ: A Differentially Private Index on Encrypted Databases for Supporting Range Queries” 9 may 2016

Title: PINED-RQ: A Differentially Private Index on Encrypted Databases for Supporting Range Queries By Cetin Sahin, PhD student at UCSB (http://www.cs.ucsb.edu/~dsl/?q=content/cetin-sahin) Date : 9/5/2016 16h Salle : 1/124 Abstract: Despite the benefits of Database-as-a-Service cloud services (DBaaS), legitimate privacy concerns continue hindering their adoption when data is personal and sensitive. To tackle this problem, we propose PINED-RQ, a privacy-preserving …

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Permanent link to this article: https://team.inria.fr/zenith/zenith-seminar-cetin-sahin-pined-rq-a-differentially-private-index-on-encrypted-databases-for-supporting-range-queries/

Zenith seminar: Saber Salah “Parallel Itemset Mining in Massively Distributed Environments” 13 april 2016

“Parallel Itemset Mining in Massively Distributed Environments” Saber Salah April 13, 2016 at 10am. Room 3/124 (bat 5). Abstract: In this talk, first we address the problem of frequent itemset mining in big data. We call for specific data placement techniques in massively distributed environments to improve  the  performance  of  parallel  frequent itemset  mining  (PFIM)  …

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Permanent link to this article: https://team.inria.fr/zenith/zenith-seminar-saber-salah-parallel-itemset-mining-in-massively-distributed-environments/