ZENITH: Gestion de données scientifiques
Zenith s’attaque aux défis posés par la gestion (stockage, partage, traitement, recherche analyse) des données massives (big data, données scientifiques). Ces défis (correspondant aux trois big V : Volume, Velocity, Variety) peuvent se résumer ainsi:
1. très grande échelle (big data, big analytics) ;
2. données en continu (produits par des capteurs, des appareils mobiles, …) ;
3. hétérogénéité et complexité des données (différences sémantiques, données incertaines ou multi-échelles, …).
Notre objectif est d’apporter des solutions innovantes, en démontrant des avantages en termes de passage à l’échelle, fonctionnalité, facilité d’usage et performance, dans des environnements distribués et parallèles (P2P, grid, cloud).
Nous cherchons à produire des résultats fondamentaux et algorithmiques, que nous pouvons implémenter dans des environnements spécifiques, par ex. Grid5K. Pour valider nos solutions, nous collaborons avec des partenaires scientifiques (INRA, CIRAD, IRD, etc.) et industriels (Data Publica, Bull, EDF, Orange, Microsoft, MonetDB, Sparsity, etc.).
Membres
Permanents
- Reza Akbarinia, Chargé de Recherche INRIA
- Alexis Joly, Directeur de Recherche INRIA
- Antoine Liutkus, Chargé de Recherche INRIA
- Jean-Christophe Lombardo, Ingénieur de Recherche INRIA
- Florent Masseglia, Directeur de Recherche INRIA
- Esther Pacitti, Professeur des Universités UM
- Didier Parigot, Chargé de Recherche INRIA
- Patrick Valduriez, Directeur de Recherche INRIA
Non permanents
- Antoine Affouard, CDD Ingénieur-Technicien INRIA
- Nathalie Brillouet, CDD Ingénieur-Technicien INRIA
- Julien Champ, CDD Ingénieur-Technicien INRIA
- Mathias Chouet, CDD Ingénieur-Technicien INRIA
- Theo Delfieu, CDD Ingénieur-Technicien INRIA
- Benjamin Deneu, Doctorant INRIA
- Lamia Djebour, Doctorant Gouvernement Algérien
- Baldwin Dumortier, CDD Ingénieur-Technicien INRIA
- Joaquim Estopinan, Doctorant INRIA
- Hugo Gresse, CDD Ingénieur-Technicien INRIA
- Quentin Leroy, Doctorant INA (Institut National de l'Audiovisuel)
- Oleksandra Levchenko, CDD Ingénieur-Technicien INRIA
Collaborateurs réguliers
- Hervé Goëau, CIRAD
- Christophe Pradal, CIRAD
Thématiques de recherche
Le projet Zenith est organisé en trois thèmes complémentaires :
1. Gestion de données et métadonnées : gestion et intégration de données et métadonnées (schémas, ontologies) à grande échelle, en particulier, stockage de big data, résolution d’entités incertaines et traitement de requêtes probabilistes.
2. Partage de données et processus : gestion des données et processus scientifiques dans des environnements distribués et parallèles, avec partage de données en P2P, recommandation dans les communautés en ligne et support des workflows scientifiques.
3. Analyse de données : fouille de données et recherche de données par contenu en exploitant le parallélisme du cloud et les nouvelles technologies NoSQL et MapReduce.
Ces trois thèmes reflètent le continuum qui va de la capture des données, en passant par leur intégration, gestion et partage, jusqu’à leur analyse, afin de produire informations et connaissances.
Publications majeures depuis 2008
R. Akbarinia, P. Valduriez, G. Verger, Efficient Evaluation of SUM Queries Over Probabilistic Data. IEEE Transactions on Knowledge and Data Engineering, Data. Vol. 25, No. 4, 764-775, 2013.
M. El Dick, E. Pacitti, R. Akbarinia, B. Kemme, Building a Peer-to-Peer Content Distribution Network with High Performance, Scalability and Robustness, Information Systems, Vol. 36, No 2, p. 222-247, 2011.
P. Letessier, O. Buisson, A. Joly, N. Boujemaa, Scalable Mining of Small Visual Objects, ACM Multimedia Conf., 2012.
E. Ogasawara, D. De Oliveira, P. Valduriez, J. Dias, F. Porto, M. Mattoso, An Algebraic Approach for Data-Centric Scientific Workflows, Proceedings of VLDB, Vol. 4, No 11, p. 1328-1339, 2011.
F. Petitjean, F. Masseglia, P. Gançarski, G. Forestier, Discovering Significant Evolution Patterns from Satelllite Image Time Series, International Journal of Neural Systems, Vol. 21, No 6, 475-489, 2011.
Publications depuis 2014 - Evaluation 2019
Articles de revues internationales
2020
- Attention-Based Recurrent Neural Network for Plant Disease ClassificationSue Han Lee, Hervé Goëau, Pierre Bonnet, Alexis JolyFrontiers in Plant Science, Frontiers, 2020, 11. <10.3389/fpls.2020.601250>
- International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortiumGabriel Brat, Griffin Weber, Nils Gehlenborg, Paul Avillach, Nathan Palmer, Luca Chiovato, James Cimino, Brett Beaulieu-Jones, Sehi L’ Yi, Mark Keller, Douglas Bell, Robert Follett, Lav Patel, Anne Jannot, Lemuel Waitman, Gilbert Omenn, Alberto Malovini, Jason Moore, Valentina Tibollo, Shawn Murphy, Riccardo Bellazzi, David Hanauer, Arnaud Serret-Larmande, Alba Gutierrez-Sacristan, John Holmes, Douglas Bell, Kenneth Mandl, Jeffrey Klann, Douglas Murad, Luigia Scudeller, Mauro Bucalo, Katie Kirchoff, Jean Craig, Jihad Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Antonio Bellasi, Hans Prokosch, Detlef Kraska, Piotr Sliz, Amelia Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle Mowery, Emily Schiver, Batsal Devkota, Robert Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Stephane Breant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Melodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loïc Estève, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gael Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaître, Silvano Bosari, Andrew South, Tianxi Cai, Isaac Kohanenpj Digital Medicine, Nature Research 2020, 3 (1), pp.#109.
- A Language and Methodology based on Scenarios, Grammars and Views, for Administrative Business Processes ModellingMilliam Maxime Zekeng Ndadji, Maurice Tchoupe Tchendji, Clémentin Tayou Djamegni, Didier ParigotParadigm Plus, ITI Research Group, 2020, 1 (3), pp.1-22.
- Spatial-Time Motifs DiscoveryHeraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fábio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo OgasawaraIntelligent Data Analysis, IOS Press, 2020.
- Space Time Series Clustering: Algorithms, Taxonomy, and Case Study on Urban Smart CitiesAsma Belhadi, Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Florent Masseglia, Jerry Chun-Wei LinEngineering Applications of Artificial Intelligence, Elsevier, 2020, 95, pp.#103857.
- Efficient Execution of Scientific Workflows in the Cloud Through Adaptive CachingGaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, Francois Tardieu, Patrick ValduriezTransactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2020, pp.41-66.
- Data reduction in scientific workflows using provenance monitoring and user steeringRenan Souza, Vitor Silva, Alvaro Luiz Gayoso de Azeredo Coutinho, Patrick Valduriez, Marta MattosoFuture Generation Computer Systems, Elsevier, 2020, 110, pp.481-501.
- A “big-data” algorithm for KNN-PLSMaxime Metz, Matthieu Lesnoff, Florent Abdelghafour, Reza Akbarinia, Florent Masseglia, Jean-Michel RogerChemometrics and Intelligent Laboratory Systems, Elsevier, 2020, 203, pp.104076.
- A New Method for Counting Reproductive Structures in Digitized Herbarium Specimens Using Mask R-CNNCharles Davis, Julien Champ, Daniel Park, Ian Breckheimer, Goia Lyra, Junxi Xie, Alexis Joly, Dharmesh Tarapore, Aaron Ellison, Pierre BonnetFrontiers in Plant Science, Frontiers, 2020, 11. <10.3389/fpls.2020.01129>
- DfAnalyzer: Runtime dataflow analysis tool for Computational Science and Engineering applicationsVítor Silva, Vinícius Campos, Thaylon Guedes, José Camata, Daniel de Oliveira, Alvaro Coutinho, Patrick Valduriez, Marta MattosoSoftwareX, Elsevier, 2020, 12, pp.100592.
- A functional structural model of grass development based on metabolic regulation and coordination rulesMarion Gauthier, Romain Barillot, Anne Schneider, Camille Chambon, Christian Fournier, Christophe Pradal, Corinne Robert, Bruno AndrieuJournal of Experimental Botany, Oxford University Press (OUP), 2020, 71 (18), pp.5454-5468.
- A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extractionHervé Goëau, Adán Mora‐fallas, Julien Champ, Natalie Lauren Rossington Love, Susan Mazer, Erick Mata‐montero, Alexis Joly, Pierre BonnetApplications in Plant Sciences, Wiley, 2020, 8 (6), pp.#e11368.
- Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selectionChristophe Botella, Alexis Joly, Pascal Monestiez, Pierre Bonnet, François MunozPLoS ONE, Public Library of Science, 2020, 15 (5), pp.e0232078.
- Simulating the effects of water limitation on plant biomass using a 3D functional–structural plant model of shoot and root driven by soil hydraulicsRenato Braghiere, Frederic Gerard, Jochem Evers, Christophe Pradal, Loic PagèsAnnals of Botany, Oxford University Press (OUP), 2020, 126 (4), pp.713-728.
- New perspectives on plant disease characterization based on deep learningSue Han Lee, Hervé Goëau, Pierre Bonnet, Alexis JolyComputers and Electronics in Agriculture, Elsevier, 2020, 170, pp.105220.
- SUQ$2$: Uncertainty Quantification Queries over Large Spatio-temporal SimulationsNoel Lemus, Fábio Porto, Yania Souto, Rafael Pereira, Ji Liu, Esther Pacitti, Patrick ValduriezBulletin of the Technical Committee on Data Engineering, IEEE Computer Society, 2020, 43 (1), pp.47-59.
- Massively Distributed Time Series Indexing and QueryingDjamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis PalpanasIEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2020, 32 (1), pp.108-120.
- Machine Learning Using Digitized Herbarium Specimens to Advance Phenological ResearchKatelin Pearson, Gil Nelson, Myla Aronson, Pierre Bonnet, Laura Brenskelle, Charles Davis, Ellen Denny, Elizabeth Ellwood, Hervé Goëau, J Mason Heberling, Alexis Joly, Titouan Lorieul, Susan Mazer, Emily Meineke, Brian Stucky, Patrick Sweeney, Alexander White, Pamela SoltisBioscience, Oxford University Press (OUP), 2020, 70 (7), pp.610-620.
- Contribution citoyenne au suivi de la flore d'un parc national français, un exemple remarquable à l'échelle du Parc national des CévennesPierre Bonnet, Hervé Goëau, Frantz Hopkins, Errol Véla, Amandine Sahl, Antoine Affouard, Julien Champ, Hugo Gresse, Alexis JolyCarnets Botaniques, Société Botanique d'Occitanie, 2020, pp.1-9.
- Modelling transport of inhibiting and activating signals and their combined effects on floral induction: application to apple treeFares Belhassine, Damien Fumey, Jerome Chopard, Christophe Pradal, Sébastien Martinez, Evelyne Costes, Benoit PallasScientific Reports, Nature Publishing Group, 2020, 10, pp.13085.
- Instance segmentation for the fine detection of crop and weed plants by precision agricultural robotsJulien Champ, Adán Mora‐fallas, Hervé Goëau, Erick Mata‐montero, Pierre Bonnet, Alexis JolyApplications in Plant Sciences, Wiley, 2020, 8 (7). <10.1002/aps3.11373>
- How citizen scientists contribute to monitor protected areas thanks to automatic plant identification toolsPierre Bonnet, Alexis Joly, Jean-Michel Faton, Susan Brown, David Kimiti, Benjamin Deneu, Maximilien Servajean, Antoine Affouard, Jean-Christophe Lombardo, Laura Mary, Christel Vignau, François MunozEcological Solutions and Evidence, Wiley, 2020, 1 (2). <10.1002/2688-8319.12023>
- Parallel Computation of PDFs on Big Spatial Data Using SparkJi Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick ValduriezDistributed and Parallel Databases, Springer, 2020, 38, pp.63-100.
- Two-Phase Scheduling for Efficient Vehicle SharingJi Liu, Carlyna Bondiombouy, Lei Mo, Patrick ValduriezIEEE Transactions on Intelligent Transportation Systems, IEEE, In press, pp.1-14.
- Separation of Alpha-Stable Random VectorsMathieu Fontaine, Roland Badeau, Antoine LiutkusSignal Processing, Elsevier, 2020, pp.107465.
- Reuse of process-based models: automatic transformation into many programming languages and simulation platformsCyrille Ahmed Midingoyi, Christophe Pradal, Ioannis Athanasiadis, Marcello Donatelli, Andreas Enders, Davide Fumagalli, Frederick Garcia, Dean Holzworth, Gerrit Hoogenboom, Cheryl Porter, Helene Raynal, Peter Thorburn, Pierre Martrein silico Plants, Oxford Academic, 2020, pp.diaa007.
- Biodiversity Information Science and Standards 4: e58933 Pl@ntNet Services, a Contribution to the Monitoring and Sharing of Information on the World FloraPierre Bonnet, Julien Champ, Hervé Goëau, Fabian-Robert Stöter, Benjamin Deneu, Maximilien Servajean, Antoine Affouard, Jean-Christophe Lombardo, Oleksandra Levchenko, Hugo Gresse, Alexis JolyBiodiversity Information Science and Standards, Sofia : Pensoft Publishers, 2017-, 2020, 4. <10.3897/biss.4.58933>
- BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series DatabasesOleksandra Levchenko, Boyan Kolev, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Patrick Valduriez, Dennis ShashaKnowledge and Information Systems (KAIS), Springer, In press. <10.1007/s10115-020-01518-4>
2019
- DZI: An Air Index for Spatial Queries in One-dimensional ChannelsKwangjin Park, Alexis Joly, Patrick ValduriezData and Knowledge Engineering, Elsevier, 2019, 124, pp.101748.
- MuSCA: a multi-scale source-sink carbon allocation model to 2 explore carbon allocation in plants. An application on static apple-treeFrancesco Reyes, Benoit Pallas, Christophe Pradal, Federico Vaggi, D Zanotelli, Tagliavini Marco, D. Gianelle, Evelyne CostesAnnals of Botany, Oxford University Press (OUP), 2019. <10.1093/aob/mcz122>
- Keeping Track of User Steering Actions in Dynamic WorkflowsRenan Souza, Vítor Silva, José Camata, Alvaro Coutinho, Patrick Valduriez, Marta MattosoFuture Generation Computer Systems, Elsevier, 2019, 99, pp.624-643.
- Open-Unmix - A Reference Implementation for Music Source SeparationFabian-Robert Stöter, Stefan Uhlich, Antoine Liutkus, Yuki MitsufujiJournal of Open Source Software, Open Journals, 2019, The Journal of Open Source Software, 4 (41), pp.1667.
- VersionClimber: version upgrades without tearsChristophe Pradal, Sarah Cohen-Boulakia, Patrick Valduriez, Dennis ShashaComputing in Science and Engineering, Institute of Electrical and Electronics Engineers, 2019, 21 (5), pp.87-93.
- HydroShoot: a functional-structural plant model for simulating hydraulic structure, gas and energy exchange dynamics of complex plant canopies under water deficit - application to grapevine (Vitisvinifera L.)Rami Albasha, Christian Fournier, Christophe Pradal, Michaël Chelle, Jorge Alejando Prieto, Gaëtan Louarn, Thierry Simonneau, Eric Lebonin silico Plants, Oxford Academic, 2019. <10.1093/insilicoplants/diz007>
- Genetic and environmental dissection of biomass accumulation in multi-genotype maize canopiesTsu-Wei Chen, Llorenç Cabrera-Bosquet, Santiago Alvarez Prado, Raphael Perez, Simon Artzet, Christophe Pradal, Aude Coupel-Ledru, Christian Fournier, Francois TardieuJournal of Experimental Botany, Oxford University Press (OUP), 2019, 70 (9), pp.2523-2534.
- Current knowledge and future research opportunities for modeling annual crop mixtures. A reviewNoémie Gaudio, Abraham Escobar-Gutiérrez, Pierre Casadebaig, Jochem Evers, Frederic Gerard, Gaëtan Louarn, Nathalie Colbach, Sebastian Munz, Marie Launay, Hélène Marrou, Romain Barillot, Philippe Hinsinger, Jacques-Eric Bergez, Didier Combes, Jean-Louis Durand, Ela Frak, Loic Pagès, Christophe Pradal, Sébastien Saint-Jean, Wopke van der Werf, Eric JustesAgronomy for Sustainable Development, Springer Verlag/EDP Sciences/INRA, 2019, 39 (2), pp.1-39.
- Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial florasTitouan Lorieul, Katelin Pearson, Elizabeth Ellwood, Hervé Goëau, Jean‐francois Molino, Patrick Sweeney, Jennifer Yost, Joel Sachs, Gil Nelson, Pamela Soltis, Pierre Bonnet, Alexis Joly, Erick Mata-MonteroApplications in Plant Sciences, Wiley, 2019, 7 (3), pp.e01233.
- CountNet: Estimating the Number of Concurrent Speakers Using Supervised LearningFabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler, Emanuël HabetsIEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 27 (2), pp.268-282.
- Privacy-Preserving Top-k Query Processing in Distributed SystemsSakina Mahboubi, Reza Akbarinia, Patrick ValduriezTransactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2019. <10.1007/978-3-662-60531-8_1>
- Musical Source Separation: An IntroductionEstefania Cano, Derry Fitzgerald, Antoine Liutkus, Mark Plumbley, Fabian-Robert StöterIEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2019, 36 (1), pp.31-40.
2018
- ParCorr: efficient parallel methods to identify similar time series pairs across sliding windowsDjamel-Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis ShashaData Mining and Knowledge Discovery, Springer, 2018, 32 (5), pp.1481-1507.
- DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using ProvenanceVítor Silva, Daniel de Oliveira, Patrick Valduriez, Marta MattosoProceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2018, 11 (12), pp.2082-2085.
- AutoWIG: automatic generation of python bindings for C++ librariesPierre Fernique, Christophe PradalPeerJ Computer Science, PeerJ, 2018, 4, pp.e149.
- Non-parametric Bayesian annotator combinationMaximilien Servajean, Romain Chailan, Alexis JolyInformation Sciences, Elsevier, 2018, 436-437, pp.131-145.
- Species distribution modeling based on the automated identification of citizen observationsChristophe Botella, Alexis Joly, Pierre Bonnet, Pascal Monestiez, François MunozApplications in Plant Sciences, Wiley, 2018, Green Digitization: Online Botanical Collections Data Answering Real‐World Questions, 6 (2), pp.1-11.
- Advances in Databases and Information SystemsLadjel Bellatreche, Patrick Valduriez, Tadeusz MorzyInformation Systems Frontiers, Springer Verlag, 2018, 20 (1), pp.1-6.
- Distributed Management of Scientific Workflows for High-Throughput Plant PhenotypingChristophe Pradal, Sarah Cohen-Boulakia, Gaëtan Heidsieck, Esther Pacitti, Francois Tardieu, Patrick ValduriezERCIM News, ERCIM, 2018, Smart Farming, pp.36-37.
- In situ visualization and data analysis for turbidity currents simulationJosé Camata, Vitor Silva, Patrick Valduriez, Marta Mattoso, Alvaro CoutinhoComputers & Geosciences, Elsevier, 2018, 110, pp.23-31.
- Efficient Scheduling of Scientific Workflows using Hot Metadata in a Multisite CloudJi Liu, Luis Pineda, Esther Pacitti, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu, Marta MattosoIEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, In press. <10.1109/TKDE.2018.2867857>
- A Survey of Scheduling Frameworks in Big Data SystemsJi Liu, Esther Pacitti, Patrick ValduriezInternational Journal of Cloud Computing, Inderscience Publishers, 2018, 7 (2), pp.103-128.
- An Overview of Lead and Accompaniment Separation in MusicZafar Rafii, Antoine Liutkus, Fabian-Robert Stöter, Stylianos Ioannis Mimilakis, Derry Fitzgerald, Bryan PardoIEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2018, 26 (8), pp.1307-1335.
2017
- Going deeper in the automated identification of Herbarium specimensJose Carranza-Rojas, Hervé Goëau, Pierre Bonnet, Erick Mata-Montero, Alexis JolyBMC Evolutionary Biology, BioMed Central, 2017, 17 (1), pp.181.
- A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platformNicolas Brichet, Christian Fournier, Olivier Turc, Olivier Strauss, Simon Artzet, Christophe Pradal, Claude Welcker, Francois Tardieu, Llorenç Cabrera-BosquetPlant Methods, BioMed Central, 2017, 13 (1), pp.12.
- Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunitiesSarah Cohen-Boulakia, Khalid Belhajjame, Olivier Collin, Jérôme Chopard, Christine Froidevaux, Alban Gaignard, Konrad Hinsen, Pierre Larmande, Yvan Le Bras, Frédéric Lemoine, Fabien Mareuil, Hervé Ménager, Christophe Pradal, Christophe BlanchetFuture Generation Computer Systems, Elsevier, 2017, 75, pp.284-298.
- Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training ApproachMaximilien Servajean, Alexis Joly, Dennis Shasha, Julien Champ, Esther PacittiIEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2017, 19 (6), pp.1376-1391.
- InfraPhenoGrid: A scientific workflow infrastructure for Plant Phenomics on the GridChristophe Pradal, Simon Artzet, Jerome Chopard, Dimitri Dupuis, Christian Fournier, Michael Mielewczik, Vincent Negre, Pascal Neveu, Didier Parigot, Patrick Valduriez, Sarah Cohen-BoulakiaFuture Generation Computer Systems, Elsevier, 2017, 67, pp.341-353.
- A Highly Scalable Parallel Algorithm for Maximally Informative k-Itemset MiningSaber Salah, Reza Akbarinia, Florent MassegliaKnowledge and Information Systems (KAIS), Springer, 2017, 50 (1), pp.1-26.
- Data placement in massively distributed environments for fast parallel mining of frequent itemsetsSaber Salah, Reza Akbarinia, Florent MassegliaKnowledge and Information Systems (KAIS), Springer, 2017, 53 (1), pp.207-237.
- Raw data queries during data-intensive parallel workflow executionVítor Silva, José Leite, José Camata, Daniel de Oliveira, Alvaro Coutinho, Patrick Valduriez, Marta MattosoFuture Generation Computer Systems, Elsevier, 2017, 75, pp.402-422.
- Scientific Workflow Scheduling with Provenance Data in a Multisite CloudJi Liu, Esther Pacitti, Patrick Valduriez, Marta MattosoTransactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2017, 33, pp.80-112.
2016
- CloudMdsQL: Querying Heterogeneous Cloud Data Stores with a Common LanguageBoyan Kolev, Patrick Valduriez, Carlyna Bondiombouy, Ricardo Jiménez-Peris, Raquel Pau, José PereiraDistributed and Parallel Databases, Springer, 2016, 34 (4), pp.463-503.
- AgroLD API. Une architecture orientée services pour l'extraction de connaissances dans la base de données liées AgroLDGildas Tagny Ngompe, Aravind Venkatesan, Nordine El Hassouni, Manuel Ruiz, Pierre LarmandeRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2016, 21 (5-6), pp.133-158.
- Categorizing plant images at the variety level: Did you say fine-grained?Julien Champ, Titouan Lorieul, Pierre Bonnet, Najate Maghnaoui, Christophe Sereno, Thierry Dessup, Jean-Michel Boursiquot, Laurent Audeguin, Thierry Lacombe, Alexis JolyPattern Recognition Letters, Elsevier, 2016, 81, pp.71-79.
- Database System Support of Simulation DataHermano Lustosa, Fabio Porto, Pablo Blanco, Patrick ValduriezProceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2016, 9 (13), pp.1329-1340.
- Gigwa—Genotype investigator for genome- wide analysesGuilhem Sempéré, Florian Philippe, Alexis Dereeper, Manuel Ruiz, Gautier Sarah, Pierre LarmandeGigaScience, BioMed Central, 2016, 5 (1), pp.1-9.
- Social Networks and Information Retrieval, How Are They Converging? A Survey, a Taxonomy and an Analysis of Social Information Retrieval Approaches and PlatformsMohamed Reda Bouadjenek, Hakim Hacid, Mokrane BouzeghoubInformation Systems, Elsevier, 2016, 56, pp.1-18.
- Guest Editorial: Environmental Multimedia RetrievalStefanos Vrochidis, Kostas D. Karatzas, Ari Karppinen, Alexis JolyMultimedia Tools and Applications, Springer Verlag, 2016, 75 (3), pp.1557-1562.
- Effective and Efficient Similarity Search in Scientific Workflow RepositoriesJohannes Starlinger, Sarah Cohen-Boulakia, Sanjeev Khanna, Susan Davidson, Ulf LeserFuture Generation Computer Systems, Elsevier, 2016, 56, pp.584-594.
- A look inside the Pl@ntNet experienceAlexis Joly, Pierre Bonnet, Hervé Goëau, Julien Barbe, Souheil Selmi, Julien Champ, Samuel Dufour-Kowalski, Antoine Affouard, Jennifer Carré, Jean-François Molino, Nozha Boujemaa, Daniel BarthélémyMultimedia Systems, Springer Verlag, 2016, 22 (6), pp.751-766.
- Plant identification: Man vs. MachinePierre Bonnet, Alexis Joly, Hervé Goëau, Julien Champ, Christel Vignau, Jean-François Molino, Daniel Barthélémy, Nozha BoujemaaLifeCLEF 2014 plant identification challenge. Multimedia Tools and Applications, Springer Verlag, 2016, LifeCLEF 2014 plant identification challenge, 75 (3), pp.1647-1665.
- Multistore Big Data Integration with CloudMdsQLCarlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick ValduriezTransactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2016, 28, pp.48-74.
- Query processing in multistore systems: an overviewCarlyna Bondiombouy, Patrick ValduriezInternational Journal of Cloud Computing, Inderscience Publishers, 2016, pp.38.
- Analyzing Related Raw Data Files through DataflowsVitor Silva, Daniel De Oliveira, Patrick Valduriez, Marta MattosoConcurrency and Computation: Practice and Experience, Wiley, 2016, 28 (8), pp.2528-2545.
- Multi-Objective Scheduling of Scientific Workflows in Multisite CloudsJi Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta MattosoFuture Generation Computer Systems, Elsevier, 2016, 63, pp.76-95.
- FP-Hadoop: Efficient Processing of Skewed MapReduce JobsMiguel Liroz-Gistau, Reza Akbarinia, Divyakant Agrawal, Patrick ValduriezInformation Systems, Elsevier, 2016, 60, pp.69-84.
2015
- A Survey of Data-Intensive Scientific Workflow ManagementJi Liu, Esther Pacitti, Patrick Valduriez, Marta MattosoJournal of Grid Computing, Springer Verlag, 2015, 13 (4), pp.457-493.
- Increasing Coverage in Distributed Search and Recommendation with Profile DiversityMaximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El AbbadiTransactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2015, LNCS (9430), pp.115-144.
- Rank aggregation with ties: Experiments and AnalysisBryan Brancotte, Bo Yang, Guillaume Blin, Sarah Cohen-Boulakia, Alain Denise, Sylvie HamelProceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2015, Proceedings of the VLDB Endowment (PVLDB), 8 (11), pp.1202-1213.
- Profile Diversity for Query Processing using User RecommendationsMaximilien Servajean, Reza Akbarinia, Esther Pacitti, Sihem Amer-YahiaInformation Systems, Elsevier, 2015, Information Systems, 48, pp.44-63.
- Data-Centric Iteration in Dynamic WorkflowsJonas Dias, Gabriel Guerra, Fernando Rochinha, Alvaro Coutinho, Patrick Valduriez, Marta MattosoFuture Generation Computer Systems, Elsevier, 2015, 46, pp.114-126.
- FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed DataMiguel Liroz-Gistau, Reza Akbarinia, Patrick ValduriezProceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2015, 8 (12), pp.1856-1867.
2014
- Special section on data-intensive cloud infrastructureAshraf Aboulnaga, Beng Chin Ooi, Patrick ValduriezThe VLDB Journal, Springer, 2014, 23 (6), pp.843-843.
- Autonomic Intrusion Detection: Adaptively Detecting Anomalies over Unlabeled Audit Data Streams in Computer NetworksWei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masseglia, Xiangliang ZhangKnowledge-Based Systems, Elsevier, 2014, 70, pp.103-117.
- The anti-bouncing data stream model for web usage streams with intralinkingsChongsheng Zhang, Florent Masseglia, Yves LechevallierInformation Sciences, Elsevier, 2014, 278, pp.757-772.
- Similarity Search for Scientific WorkflowsJohannes Starlinger, Bryan Brancotte, Sarah Cohen-Boulakia, Ulf LeserProceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2014, 7 (12), pp.1143-1154.
- Evaluation of Direct Manipulation using Finger Tracking for Complex Tasks in an Immersive CubeEmmanuelle Chapoulie, Maud Marchal, Evanthia Dimara, Maria Roussou, Jean-Christophe Lombardo, George DrettakisVirtual Reality, Springer Verlag, 2014, 18 (3), pp.203-217.
- Query Reformulation in PDMS Based on Social RelevanceAngela Bonifati, Gianvito Summa, Esther Pacitti, Fady DraidiTransactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2014, Transactions on Large-Scale Data- and Knowledge-Centered Systems XIII, LNCS, pp.59-90.
- Interactive plant identification based on social image dataAlexis Joly, Hervé Goëau, Pierre Bonnet, Vera Bakić, Julien Barbe, Souheil Selmi, Itheri Yahiaoui, Jennifer Carré, Elise Mouysset, Jean-François Molino, Nozha Boujemaa, Daniel BarthélémyEcological Informatics, Elsevier, 2014, 23, pp.22-34.
- Object-based visual query suggestionAmel Hamzaoui, Pierre Letessier, Alexis Joly, Olivier Buisson, Nozha BoujemaaMultimedia Tools and Applications, Springer Verlag, 2014, Multimedia Tools and Applications, 68 (2), pp.429-454.
- Entity Resolution for Probabilistic DataAyat Naser, Reza Akbarinia, Hamideh Afsarmanesh, Patrick ValduriezInformation Sciences, Elsevier, 2014, 277, pp.492-511.
Communications internationales
2020
- A Grammatical Model for the Specification of Administrative Workflow Using Scenario as Modelling UnitMilliam Maxime Zekeng Ndadji, Maurice Tchoupé Tchendji, Clémentin Tayou Djamegni, Didier ParigotICAI 2020 -3rd International Conference on Applied Informatics, Oct 2020, Ota, Nigeria. pp.131-145.
- Asteroid: the PyTorch-based audio source separation toolkit for researchersManuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan Martı́n-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel VincentInterspeech 2020, Oct 2020, Shanghai, China. <http://interspeech2020.org/>
- A 3D architectural model of grass shoot morphogenesis and plasticity, driven by organ metabolite concentrations and coordination rulesMarion Gauthier, Romain Barillot, Anne Schneider, Camille Chambon, Christian Fournier, Christophe Pradal, Bruno AndrieuFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Hochschule Geisenheim University; University of Hannover, Oct 2020, Hanovre / Virtua, Germany. <https://www.fspm2020.net/>
- Simulating rhizodeposition as a function of shoot and root interactions within a new 3D Functional-Structural Plant ModelFrédéric Rees, Romain Barillot, Marion Gauthier, Loic Pages, Christophe Pradal, Bruno AndrieuFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Oct 2020, Hanovre / Virtua, Germany. pp.22-23.
- Improving interoperability between phenomics and modelling communities by designing a Plant Modelling Ontology (PMO)Clément Saint Cast, Guillaume Lobet, Llorenç Cabrera-Bosquet, Valentin Couvreur, Christophe Pradal, Bertrand Muller, Francois Tardieu, Xavier DrayeFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Hochschule Geisenheim University; University of Hannover, Oct 2020, Hanovre / Virtua, Germany. pp.57-58.
- What structural plant modelling and image-based phenotyping can learn from each other?Christian Fournier, Simon Artzet, Francois Tardieu, Christophe PradalFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Hochschule Geisenheim University; University of Hannover, Oct 2020, Hanovre / Virtua, Germany. pp.55-56.
- A modelling framework for the simulation of signal transport within 3D structure: application for the simulation of within-tree variability in floral induction in apple treesBelhassine Fares, Damien Fumey, Christophe Pradal, Jérôme Chopard, Evelyne Costes, Benoit PallasFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Hochschule Geisenheim University; University of Hannover, Oct 2020, Hannover / Virtual, Germany. pp.16-17.
- Toward Virtual Modelling Environments using Notebooks for Phenotyping and Simulation of Plant DevelopmentFrédéric Boudon, Jan Vaillant, Christophe PradalFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Hochschule Geisenheim University; University of Hannover, Oct 2020, Hanovre / Virtua, Germany. pp.99-100.
- Co-simulation with OpenAlea and GroIMP for cross-platform functional-structural plant modellingQinqin Long, Christophe Pradal, Winfried KurthFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Hochschule Geisenheim University; University of Hannover, Oct 2020, Hanovre / Virtual, Germany. pp.97-98.
- MTG as a standard representation of plants in FSPMsChristophe Pradal, Christophe GodinFSPM 2020 -9th International Conference on Functional-Structural Plant Models, Oct 2020, Hanovre / Virtua, Germany. pp.86-87.
- Three-dimensional morphological model of water lilies Nymphaea spp. for breeding historical studyShiryu Kirié, Christophe Pradal, Hideo Iwasaki, Koji Noshita, Hiroyoshi IwataFSPM 2020 - 9th International Conference on Functional-Structural Plant Models, Oct 2020, Hanovre / Virtua, Germany. pp.61-62.
- Uma abordagem para coleta e análise de dados de configurações em redes neurais profundasDébora Pina, Liliane Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta MattosoSBBD 2020 - 35ª Simpósio Brasileiro de Banco de Dados, Sep 2020, Virtual, Brazil. pp.1-6.
- Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution PredictionAlexis Joly, Hervé Goëau, Stefan Kahl, Benjamin Deneu, Willem-Pier Vellinga, Maximilien Servajean, Elijah Cole, Lukáš Picek, Rafael Ruiz de Castañeda, Isabelle Bolon, Andrew Durso, Titouan Lorieul, Christophe Botella, Hervé Glotin, Julien Champ, Ivan Eggel, Pierre Bonnet, Henning MüllerCLEF 2020 - 11th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2020, Thessaloniki, Greece. pp.342-363.
- Overview of LifeCLEF location-based species prediction task 2020 (GeoLifeCLEF)Benjamin Deneu, Titouan Lorieul, Elijah Cole, Maximilien Servajean, Christophe Botella, Pierre Bonnet, Alexis JolyCLEF 2020 - 11th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2020, thessaloniki, Greece.
- Distributed Caching of Scientific Workflows in Multisite CloudGaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, Francois Tardieu, Patrick ValduriezDEXA 2020 - 31st International Conference on Database and Expert Systems Applications, Sep 2020, Bratislava, Slovakia. pp.51-65.
- Massively Distributed Clustering via Dirichlet Process MixtureKhadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia, Isabelle SanchezECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent (virtual), Belgium. <https://ecmlpkdd2020.net/>
- A Language for the Specification of Administrative Workflow Processes with Emphasis on Actors’ ViewsMilliam Maxime Zekeng Ndadji, Maurice Tchoupé Tchendji, Clémentin Tayou Djamegni, Didier ParigotICCSA 2020 - 20th International Conference on Computational Science and Its Applications, Jul 2020, Cagliari, Italy. pp.231-245.
- LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction ChallengesAlexis Joly, Hervé Goëau, Christophe Botella, Rafael Ruiz de Castaneda, Hervé Glotin, Elijah Cole, Julien Champ, Benjamin Deneu, Maximilien Servajean, Titouan Lorieul, Willem-Pier Vellinga, Fabian-Robert Stöter, Andrew Durso, Pierre Bonnet, Henning MüllerECIR 2020 - 42nd European Conference on IR Research on Advances in Information Retrieval, Apr 2020, Lisbon, Portugal. pp.542-549.
- Phenotyping and modeling of water transport in rootsYann Boursiac, Christophe Pradal, Fabrice Bauget, Stathis Delivorias, Mikael Lucas, Christophe Godin, Christophe MaureliCROPM 2020 - Satellite workshop : Phenotyping and modeling of plant anchorage and physiology, Feb 2020, Montpellier, France.
2019
- High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture ModelsKhadidja Meguelati, Bénédicte Fontez, Nadine Hilgert, Florent MassegliaIEEE Big Data 2019 - IEEE International Conference on Big Data, Dec 2019, Los-Angeles, United States. <https://bigdataieee.org/BigData2019/>
- A Projection-Stable Grammatical Model to Specify Workflows for their P2P and Artifact-Centric ExecutionMilliam Maxime Zekeng Ndadji, Maurice Tchendji, Didier ParigotCRI'2019 - Conférence de Recherche en Informatique, Dec 2019, Yaoundé, Cameroon. <http://cri-info.cm>
- Provenance Data in the Machine Learning Lifecycle in Computational Science and EngineeringRenan Souza, Leonardo Azevedo, Vítor Lourenço, Elton Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Marcio Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco NettoWORKS 2019 - Workflows in Support of Large-Scale Science co-located with SC 2019 - ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis, Nov 2019, Denver, United States. pp.10.
- SAVIME: A Database Management System for Simulation Data Analysis and VisualizationHermano Lustosa, Fabio Porto, Patrick ValduriezSBBD 2019 - Simpósio Brasileiro de Banco de Dados, SBC, Oct 2019, Fortaleza, Brazil. pp.1-12.
- Efficient Runtime Capture of Multiworkflow Data Using ProvenanceRenan Souza, Leonardo Azevedo, Raphael Thiago, Elton Soares, Marcelo Nery, Marco Netto, Emilio Vital Brazil, Renato Cerqueira, Patrick Valduriez, Marta MattosoeScience 2019 - 15th International eScience Conference, Sep 2019, San Diego, United States. pp.1-10.
- Distributed Algorithms to Find Similar Time SeriesOleksandra Levchenko, Boyan Kolev, Djamel-Edine Yagoubi, Dennis Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent MassegliaECML-PKDD 2019 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2019, Wurtzbourg, Germany.
- Querying Key-Value Stores under Single-Key Constraints: Rewriting and ParallelizationOlivier Rodriguez, Reza Akbarinia, Federico UllianaRuleML+RR 2019 - the 3rd International Joint Conference on Rules and Reasoning, Sep 2019, Bolzano, Italy. <https://rulemlrr19.inf.unibz.it/>
- Overview of LifeCLEF Plant Identification Task 2019: diving into Data Deficient Tropical CountriesHervé Goëau, Pierre Bonnet, Alexis JolyCLEF 2019 - Conference and Labs of the Evaluation Forum, Linda Cappellato; Nicola Ferro; David E. Losada; Henning Müller, Sep 2019, Lugano, Switzerland. pp.1-13.
- Overview of GeoLifeCLEF 2019: plant species prediction using environment and animal occurrencesChristophe Botella, Maximilien Servajean, Pierre Bonnet, Alexis JolyWorking Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland. <http://clef2018.clef-initiative.eu/>
- Evaluation of Deep Species Distribution Models using Environment and Co-occurrencesBenjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis JolyCLEF 2019 - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland. <http://clef2019.clef-initiative.eu/>
- Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 ChallengeMathilde Negri, Maximilien Servajean, Benjamin Deneu, Alexis JolyWorking Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland.
- Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche PredictionAlexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Maximilien Servajean, Hervé Glotin, Pierre Bonnet, Robert Planqué, Fabian-Robert Stöter, Willem-Pier Vellinga, Henning MüllerCLEF 2019 - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland. pp.387-401.
- Overview of BirdCLEF 2019: Large-Scale Bird Recognition in SoundscapesStefan Kahl, Fabian-Robert Stöter, Hervé Goëau, Hervé Glotin, Robert Planque, Willem-Pier Vellinga, Alexis JolyWorking Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Cappellato, L.; Ferro, N.; Losada, D. E.; Müller, H., Sep 2019, Lugano, Switzerland. pp.1-9.
- Cauchy Multichannel Speech Enhancement with a Deep Speech PriorMathieu Fontaine, Aditya Arie Nugraha, Roland Badeau, Kazuyoshi Yoshii, Antoine LiutkusEUSIPCO 2019 - 27th European Signal Processing Conference, Sep 2019, Coruña, Spain.
- Adaptive Caching for Data-Intensive Scientific Workflows in the CloudGaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, Francois Tardieu, Patrick ValduriezDEXA 2019 - 30th International Conference on Database and Expert Systems Applications, Aug 2019, Linz, Austria. pp.452-466.
- Vers un désenchevêtrement de l'ambiguïté de la tâche et de l'incertitude du modèle pour la classification avec option de rejet à l'aide de réseaux neuronauxTitouan Lorieul, Alexis JolyCAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France.
- Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and DiffusionsAntoine Liutkus, Umut Imşekli, Szymon Majewski, Alain Durmus, Fabian-Robert Stöter36th International Conference on Machine Learning (ICML), Jun 2019, Long Beach, United States.
- Speech enhancement with variational autoencoders and alpha-stable distributionsSimon Leglaive, Umut Simsekli, Antoine Liutkus, Laurent Girin, Radu HoraudICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.541-545.
- Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression CapabilitiesBoyan Kolev, Reza Akbarinia, Ricardo Jimenez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patino, Patrick ValduriezCLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.681-687.
- LifeCLEF 2019: Biodiversity Identification and Prediction ChallengesAlexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Marion Poupard, Maximilien Servajean, Hervé Glotin, Pierre Bonnet, Willem-Pier Vellinga, Robert Planqué, Jan Schlüter, Fabian-Robert Stöter, Henning MüllerECIR 2019 - 41st European Conference on IR Research, Apr 2019, Cologne, Germany. pp.275-282.
- Dirichlet Process Mixture Models made Scalable and Effective by means of Massive DistributionKhadidja Meguelati, Bénédicte Fontez, Nadine Hilgert, Florent MassegliaSAC '19 - 34th ACM/SIGAPP symposium on applied computing, Apr 2019, Limassol, Cyprus. pp.502-509.
2018
- Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcaleBoyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Vilaça, Rui Gonçalves, Ricardo Jiménez-Peris, Pavlos KranasIEEE BigData, Dec 2018, Seattle, United States. pp.10.
- Spark-parSketch: A Massively Distributed Indexing of Time Series DatasetsOleksandra Levchenko, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis ShashaCIKM: Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954.
- SiSEC 2018: State of the art in musical audio source separation - subjective selection of the best algorithmDominic Ward, Russel D. Mason, Chungeun Kim, Fabian-Robert Stöter, Antoine Liutkus, Mark PlumbleyWIMP: Workshop on Intelligent Music Production, Sep 2018, Huddersfield, United Kingdom. <http://epubs.surrey.ac.uk/id/eprint/849086>
- Overview of ExpertLifeCLEF 2018: how far automated identification systems are from the best experts?Hervé Goëau, Pierre Bonnet, Alexis JolyCLEF - Conference and Labs of the Evaluation Forum, Sep 2018, Avignon, France. <http://ceur-ws.org/Vol-2125/invited_paper_10.pdf>
- Overview of LifeCLEF 2018: A Large-Scale Evaluation of Species Identification and Recommendation Algorithms in the Era of AIAlexis Joly, Hervé Goëau, Christophe Botella, Hervé Glotin, Pierre Bonnet, Willem-Pier Vellinga, Robert Planqué, Henning MüllerCLEF: Cross-Language Evaluation Forum, Sep 2018, Avignon, France. pp.247-266.
- Overview of BirdCLEF 2018: monospecies vs. soundscape bird identificationHervé Goëau, Stefan Kahl, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2018, Avignon, France. <http://ceur-ws.org/Vol-2125/invited_paper_9.pdf>
- Overview of GeoLifeCLEF 2018: location-based species recommendationChristophe Botella, Pierre Bonnet, François Munoz, Pascal Monestiez, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2018, Avignon, France. <http://ceur-ws.org/Vol-2125/invited_paper_8.pdf>
- Location-based species recommendation using co-occurrences and environment-GeoLifeCLEF 2018 challengeBenjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2018, Avignon, France. <http://ceur-ws.org/Vol-2125/paper_119.pdf>
- Answering Top-k Queries over Outsourced Sensitive Data in the CloudSakina Mahboubi, Reza Akbarinia, Patrick ValduriezDEXA: Database and Expert Systems Applications, Sep 2018, Regensburg, Germany. pp.218-231.
- Discovering Tight Space-Time SequencesRiccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo OgasawaraDaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257.
- Computation of PDFs on Big Spatial Data: Problem & ArchitectureJi Liu, Noel Lemus, Esther Pacitti, Fábio Porto, Patrick ValduriezLADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil. pp.6.
- Privacy-Preserving Top-k Query Processing in Distributed SystemsSakina Mahboubi, Reza Akbarinia, Patrick ValduriezEuro-Par: European Conference on Parallel and Distributed Computing, Aug 2018, Turin, Italy. pp.281-292.
- Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC ProjectPatrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José Camata, Alvaro Coutinho, Daniel Gaspar, Noel Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabricio Nogueira da Silva, Vitor Silva, Renan Souza, Kary Ocaña, Eduardo Ogasawara, Daniel Oliveira, Esther Pacitti, Fábio Porto, Dennis ShashaLADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil. <http://ceur-ws.org/Vol-2170>
- Rumo à Integração da Álgebra de Workflows com o Processamento de Consulta RelacionalJoão Ferreira, Jorge Soares, Fábio Porto, Esther Pacitti, Rafaelli Coutinho, Eduardo OgasawaraSBBD: Simpósio Brasileiro de Banco de Dados, SBC, Aug 2018, Rio de Janeiro, Brazil. pp.205-210.
- F ReeP: towards parameter recommendation in scientific workflows using preference learningDaniel Silva, Aline Paes, Esther Pacitti, Daniel de OliveiraSBBD: Simpósio Brasileiro de Banco de Dados, Aug 2018, Rio de Janeiro, Brazil. pp.211-216.
- Detecçao de Anomalias Frequentes no Transporte Rodoviario UrbanoAna Cruz, João Ferreira, Diego Carvalho, Eduardo Mendes, Esther Pacitti, Rafaelli Coutinho, Fábio Porto, Eduardo OgasawaraSBBD: Simpósio Brasileiro de Banco de Dados, SBC, Aug 2018, Rio de Janeiro, Brazil. pp.271-276.
- Constellation Queries over Big DataFábio Porto, Amir Khatibi, Joao Rittmeyer, Eduardo Ogasawara, Patrick Valduriez, Dennis ShashaSBBD: Simpósio Brasileiro de Banco de Dados, SBC, Aug 2018, Rio de Janeiro, Brazil. pp.85-96.
- Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering ApplicationsVítor Silva, Renan Souza, Jose Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro Coutinho, Marta Mattoso7th International Provenance and Annotation Workshop (IPAW), Jul 2018, London, United Kingdom. pp.183-187.
- Point Pattern Search in Big DataFabio Porto, Joao Rittmeyer, Eduardo Ogasawara, Alberto Krone-Martins, Patrick Valduriez, Dennis ShashaSSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. pp.#21.
- The 2018 Signal Separation Evaluation CampaignFabian-Robert Stöter, Antoine Liutkus, Nobutaka ItoLVA/ICA: Latent Variable Analysis and Signal Separation, Jul 2018, Surrey, United Kingdom. pp.293-305.
- Multichannel Audio Modeling with Elliptically Stable Tensor DecompositionMathieu Fontaine, Fabian-Robert Stöter, Antoine Liutkus, Umut Simsekli, Romain Serizel, Roland BadeauLVA/ICA: Latent Variable Analysis and Signal Separation, Jul 2018, Surrey, United Kingdom. pp.13-23.
- A Distributed Collaborative Filtering Algorithm Using Multiple Data SourcesMohamed Bouadjenek, Esther Pacitti, Maximilien Servajean, Florent Masseglia, Amr AbbadiDBKDA: Advances in Databases, Knowledge, and Data Applications, May 2018, Nice, France. <https://www.iaria.org/conferences2018/DBKDA18.html>
- A Differentially Private Index for Range Query Processing in CloudsCetin Sahin, Tristan Allard, Reza Akbarinia, Amr Abbadi, Esther Pacitti34th IEEE International Conference on Data Engineering (ICDE), Apr 2018, Paris, France. pp.857-868.
- Alpha-stable low-rank plus residual decomposition for speech enhancementUmut Simsekli, Halil Erdogan, Simon Leglaive, Antoine Liutkus, Roland Badeau, Gael RichardICASSP: International Conference on Acoustics, Speech, and Signal Processing, Apr 2018, Calgary, Canada. pp.651-655.
- Blind Source Separation Using Mixtures of Alpha-Stable DistributionsNicolas Keriven, Antoine Deleforge, Antoine LiutkusICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.771-775.
- Audio source separation with magnitude priors: the BEADS modelAntoine Liutkus, Christian Rohlfing, Antoine DeleforgeICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.56-60.
- Interference reduction on full-length live recordingsDiego Di Carlo, Antoine Liutkus, Ken DéguernelICASSP: International Conference on Acoustics, Speech, and Signal Processing, Apr 2018, Calgary, Canada. pp.736-740.
- Maximally Informative k-Itemset Mining from Massively Distributed Data StreamsMehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent MassegliaSAC: Symposium on Applied Computing, Apr 2018, Pau, France. pp.502-509.
- The role of hydraulics FSPMs in the context of root breeding : a case study on Pearl MilletAdama Ndour, Christophe Pradal, Vincent Vadez, Sixtine Passot, Yann Guédon, Laurent Laplaze, Mikael LucasEGU: European Geosciences Union, Apr 2018, Vienne, Austria. pp.2018-19792.
2017
- DPiSAX: Massively Distributed Partitioned iSAXDjamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis PalpanasICDM: International Conference on Data Mining, Nov 2017, New Orleans, United States. pp.1135-1140.
- Querying Key-Value Stores Under Simple Semantic Constraints : Rewriting and ParallelizationOlivier Rodriguez, Corentin Colomier, Cecilie Rivière, Reza Akbarinia, Federico UllianaBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. <https://project.inria.fr/bda2017/>
- End-to-end Graph MapperBenjamin Billet, Mickaël Jurret, Didier Parigot, Patrick ValduriezBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. <https://project.inria.fr/bda2017/>
- Efficient Scheduling of Scientific Workflows using Hot Metadata in a Multisite CloudJi Liu, Luis Pineda-Morales, Esther Pacitti, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu, Marta MattosoBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. <https://project.inria.fr/bda2017/>
- Massively Distributed Environments and Closed Itemset Mining: The DCIM ApproachMehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent MassegliaBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. pp.1-15.
- Tracking of Online Parameter Fine-tuning in Scientific WorkflowsRenan Souza, Vitor Silva, José Camata, Alvaro Coutinho, Patrick Valduriez, Marta MattosoWORKS: Workflows in Support of Large-scale Science, Nov 2017, Denver, United States.
- TARS: An Array Model with Rich Semantics for Multidimensional DataHermano Lustosa, Noel Lemus, Fabio Porto, Patrick ValduriezForum and Demos at ER, Nov 2017, Valencia, Spain. pp.114-127.
- Pl@ntNet -My BusinessAlexis Joly, Pierre Bonnet, Antoine Affouard, Jean-Christophe Lombardo, Hervé GoëauMM: Multimedia, Oct 2017, Mountain View, United States. pp.1-11.
- RadiusSketch: Massively Distributed Indexing of Time SeriesDjamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis ShashaDSAA: Data Science and Advanced Analytics, Oct 2017, Tokyo, Japan. pp.1-10.
- Spark Scalability Analysis in a Scientific WorkflowRenan Souza, Vitor Silva, Pedro Miranda, Alexandre Lima, Patrick Valduriez, Marta MattosoSBBD: Simpósio Brasileiro de Banco de Dados, Oct 2017, Uberlandia, Brazil. pp.1-6.
- Automated Herbarium Specimen Identification using Deep LearningJose Carranza-Rojas, Alexis Joly, Pierre Bonnet, Hervé Goëau, Erick Mata-MonteroTDWG: Biodiversity Information Standards, Oct 2017, Ottawa, Canada. pp.e20302.
- Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)Hervé Goëau, Pierre Bonnet, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2017, Dublin, Ireland. <http://ceur-ws.org/Vol-1866/invited_paper_9.pdf>
- LifeCLEF 2017 Lab Overview: Multimedia Species Identification ChallengesAlexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Jean-Christophe Lombardo, Robert Planque, Simone Palazzo, Henning MüllerCLEF: Cross-Language Evaluation Forum, Sep 2017, Dublin, Ireland. pp.255-274.
- LifeCLEF Bird Identification Task 2017Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planqué, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2017, Dublin, Ireland. <http://ceur-ws.org/Vol-1866/invited_paper_8.pdf>
- TARDIS: Optimal Execution of Scientific Workflows in Apache SparkDaniel Gaspar, Fabio Porto, Reza Akbarinia, Esther PacittiDaWaK: Data Warehousing and Knowledge Discovery, Aug 2017, Lyon, France. pp.74-87.
- Pre-processing and Indexing techniques for Constellation Queries in Big DataAmir Khatibi, Fabio Porto, Joao Rittmeyer, Eduardo Ogasawara, Patrick Valduriez, Dennis ShashaDaWaK: Data Warehousing and Knowledge Discovery, Aug 2017, Lyon, France. pp.164-172.
- Going deeper in the automated identification of Herbarium specimensPierre Bonnet, Alexis Joly, Hervé Goëau, Jean-Christophe Lombardo, Antoine Affouard, Sen Wang, Rémi Knaff, Jean-François Molino, Daniel BarthélémyBotany - Botanical Crossroads, Jun 2017, Forth Worth, TX, United States. <http://2017.botanyconference.org/engine/search/index.php?func=detail&aid=83>
- Massively Distributed Environments and Closed Itemset Mining: The DCIM ApproachMehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent MassegliaCAiSE: Advanced Information Systems Engineering, Jun 2017, Essen, Germany. pp.231-246.
- Pl@ntNet app in the era of deep learningAntoine Affouard, Hervé Goëau, Pierre Bonnet, Jean-Christophe Lombardo, Alexis Jolynnet, Jean-Christophe Lombardo, Alexis Joly. Pl@ntNet app in the era of deep learning. ICLR: International Conference on Learning Representations, Apr 2017, Toulon, France. <https://www.iclr.cc/archive/www/2017.html>
2016
- Benchmarking Polystores: the CloudMdsQL ExperienceBoyan Kolev, Raquel Pau, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jiménez-Peris, José PereiraWorkshop on Methods to Manage Heterogeneous Big Data and Polystore Databases, Dec 2016, Washington, DC, United States. pp.2574-2579.
- Managing Hot Metadata for Scientific Workflows on Multisite CloudsLuis Pineda-Morales, Ji Liu, Alexandru Costan, Esther Pacitti, Gabriel Antoniu, Patrick Valduriez, Marta MattosoBig Data, Dec 2016, Washington, DC, United States. pp.390-397.
- Mining Maximally Informative k-Itemsets in Massively Distributed EnvironmentsSaber Salah, Reza Akbarinia, Florent MassegliaBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France. <https://bda2016.ensma.fr>
- Extending CloudMdsQL with MFR for Big Data IntegrationCarlyna Bondiombouy, Boyan Kolev, Patrick Valduriez, Oleksandra LevchenkoBDA: Gestion de Données — Principes, Technologies et Applications, LIAS / ISAE-ENSMA, Poitiers, Nov 2016, Poitiers, France. <https://bda2016.ensma.fr>
- Demonstration of the CloudMdsQL Multistore SystemBoyan Kolev, Carlyna Bondiombouy, Patrick Valduriez, Ricardo Jiménez-Peris, Raquel Spain, José PereiraBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France. <https://bda2016.ensma.fr/>
- Scientific Workflow Execution with Multiple Objectives in Multisite CloudsJi Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta MattosoBDA: Gestion de Données — Principes, Technologies et Applications, LIAS / ISAE-ENSMA, Poitiers, Nov 2016, Poitiers, France. <https://bda2016.ensma.fr>
- Privacy Preserving Query Processing in the CloudSakina Mahboubi, Reza Akbarinia, Patrick ValduriezBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France. <https://bda2016.ensma.fr>
- Online Input Data Reduction in Scientific WorkflowsRenan Souza, Vítor Silva, Alvaro Coutinho, Patrick Valduriez, Marta MattosoWORKS: Workflows in Support of Large-scale Science, Nov 2016, Salt Lake City, United States. <http://works.cs.cardiff.ac.uk>
- Crowdsourcing Biodiversity Monitoring: How Sharing your Photo Stream can Sustain our PlanetAlexis Joly, Hervé Goëau, Julien Champ, Samuel Dufour-Kowalski, Henning Müller, Pierre BonnetMM: Conference on Multimedia, Oct 2016, Amsterdam, Netherlands. pp.958-967.
- ThePlantGame: Actively Training Human Annotators for Domain-specific CrowdsourcingMaximilien Servajean, Alexis Joly, Dennis Shasha, Julien Champ, Esther PacittiMM: Conference on Multimedia, Oct 2016, Amsterdam, Netherlands. pp.720-721.
- Floristic participation at LifeCLEF 2016 Plant Identification TaskJulien Champ, Hervé Goëau, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2016, Évora, Portugal. pp.450-458.
- LifeCLEF 2016: Multimedia Life Species Identification ChallengesAlexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Julien Champ, Robert Planqué, Simone Palazzo, Henning MüllerCLEF: Cross-Language Evaluation Forum, Sep 2016, Évora, Portugal. pp.286-310.
- Plant Identification in an Open-world (LifeCLEF 2016)Hervé Goëau, Pierre Bonnet, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2016, Évora, Portugal. pp.428-439.
- LifeCLEF Bird Identification Task 2016: The arrival of Deep learningHervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planqué, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2016, Évora, Portugal. pp.440-449.
- Unsupervised Individual Whales Identification: Spot the Difference in the OceanAlexis Joly, Jean-Christophe Lombardo, Julien Champ, Anjara SalomaCLEF: Conference and Labs of the Evaluation Forum, Sep 2016, Évora, Portugal. pp.469-480.
- Enhancing Energy Production with Exascale HPC MethodsJosé Camata, José Cela, Danilo Costa, Alvaro Lga Coutinho, Daniel Fernández-Galisteo, Carmen Jimenez, Vadim Kourdioumov, Marta Mattoso, Rafael Mayo-García, Thomas Miras, José Moríñigo, Jorge Navarro, Philippe Navaux, Daniel de Oliveira, Manuel Rodríguez-Pascual, Vítor Silva, Renan Souza, Patrick ValduriezCARLA: Latin American High Performance Computing Conference, Aug 2016, Mexico City, Mexico. pp.233-246.
- Scientific Workflow Scheduling with Provenance Support in Multisite CloudJi Liu, Esther Pacitti, Patrick Valduriez, Marta MattosoVECPAR: Vector and Parallel Processing, Faculty of Engineering of the University of Porto, Portugal, Jun 2016, Porto, Portugal. pp.206-219.
- The CloudMdsQL Multistore SystemBoyan Kolev, Carlyna Bondiombouy, Patrick Valduriez, Ricardo Jiménez-Peris, Raquel Pau, José PereiraACM SIGMOD, Jun 2016, San Francisco, United States. <10.1145/2882903.2899400>
- Development of a knowledge system for Big Data: Case study to plant phenotyping dataLuyen Le Ngoc, Anne Tireau, Aravind Venkatesan, Pascal Neveu, Pierre LarmandeWIMS: Web Intelligence, Mining and Semantics, Mines Ales, Jun 2016, Nimes, France. pp.1-9.
- Exposing French agronomic resources as Linked Open DataAravind Venkatesan, Nordine El Hassouni, Florian Phillipe, Cyril Pommier, Hadi Quesneville, Manuel Ruiz, Pierre LarmandeIN-OLIVE, Jun 2016, Montpellier, France.
- Spatially Localized Visual Dictionary LearningValentin Leveau, Alexis Joly, Olivier Buisson, Patrick ValduriezICMR: International Conference on Multimedia Retrieval, Jun 2016, New York, United States. pp.367-370.
- A New Privacy-Preserving Solution for Clustering Massively Distributed Personal Times-SeriesTristan Allard, Georges Hébrail, Florent Masseglia, Esther PacittiICDE: International Conference on Data Engineering, May 2016, Helsinki, Finland. pp.1370-1373.
- Design and Implementation of the CloudMdsQL Multistore SystemBoyan Kolev, Carlyna Bondiombouy, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jimenez-Péris, Raquel Pau, Jose PereiraCLOSER: Cloud Computing and Services Science, Apr 2016, Roma, Italy. pp.352-359.
2015
- Exposing French agronomic resources as Linked Open DataAravind Venkatesan, Nordine El Hassouni, Florian Philippe, Cyril Pommier, Hadi Quesneville, Manuel Ruiz, Pierre LarmandeSWAT4LS: Semantic Web Applications and Tools for Life Sciences, Dec 2015, Cambridge, United Kingdom. <http://ceur-ws.org/Vol-1546/>
- Managing Simulation Data with Multidimensional ArraysHermano Lustosa, Fabio Porto, Ramon Costa, Pablo Blanco, Patrick ValduriezSBBD: Simpósio Brasileiro de Banco de Dados, Centro Federal de Educao Tecnolgica Celso Suckow da Fonseca (CEFET-RJ), Brazil; Laboratrio Nacional de Computao Cientfica (LNCC), Oct 2015, Petropolis, Brazil. <http://dexl.lncc.br/sbbd2015/>
- Query Processing in Cloud Multistore SystemsCarlyna BondiombouyBDA: Gestion de Données — Principes, Technologies et Applications, Sep 2015, Île de Porquerolles, France. <http://bda2015.univ-tln.fr>
- Ontology-based services and knowledge management in the Agronomic DomainPierre LarmandeRDA: Research Data Alliance, Sep 2015, Paris, France. <https://rd-alliance.org/plenary-meetings/rda-sixth-plenary-meeting.html>
- LifeCLEF Bird Identification Task 2015Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planqué, Andreas Rauber, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2015, Toulouse, France. <http://ceur-ws.org/Vol-1391/156-CR.pdf>
- LifeCLEF Plant Identification Task 2015Hervé Goëau, Pierre Bonnet, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2015, Toulouse, France. <http://ceur-ws.org/Vol-1391/157-CR.pdf>
- LifeCLEF 2015: Multimedia Life Species Identification ChallengesAlexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Robert Planqué, Andreas Rauber, Simone Palazzo, Bob Fisher, Henning MüllerCLEF: Cross-Language Evaluation Forum, Université de Toulouse. FRA., Sep 2015, Toulouse, France. pp.462-483.
- A comparative study of fine-grained classification methods in the context of the LifeCLEF plant identification challenge 2015Julien Champ, Titouan Lorieul, Maximilien Servajean, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2015, Toulouse, France. <http://ceur-ws.org/Vol-1391/30-CR.pdf>
- Shared nearest neighbors match kernel for bird songs identification -LifeCLEF 2015 challengeAlexis Joly, Valentin Leveau, Julien Champ, Olivier BuissonCLEF: Conference and Labs of the Evaluation Forum, Sep 2015, Toulouse, France. <http://ceur-ws.org/Vol-1391/138-CR.pdf>
- Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed EnvironmentsSaber Salah, Reza Akbarinia, Florent MassegliaDEXA: Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.303-318.
- Integrating Big Data and Relational Data with a Functional SQL-like Query LanguageCarlyna Bondiombouy, Boyan Kolev, Oleksandra Levchenko, Patrick ValduriezGlobe, Sep 2015, Valencia, Spain. pp.170-185.
- An Efficient Solution for Processing Skewed MapReduce JobsReza Akbarinia, Miguel Liroz-Gistau, Divyakant Agrawal, Patrick ValduriezGlobe, Sep 2015, Valencia, Spain. pp.417-429.
- A Prime Number Based Approach for Closed Frequent Itemset Mining in Big DataMehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent MassegliaDEXA: Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.509-516.
- Fast Parallel Mining of Maximally Informative k-Itemsets in Big DataSaber Salah, Reza Akbarinia, Florent MassegliaICDM: International Conference on Data Mining, Aug 2015, Atlantic city, United States. pp.359-368.
- When sharing computer science with everyone also helps avoiding digital prejudicesMarie Duflot, Martin Quinson, Florent Masseglia, Didier Roy, Julien Vaubourg, Thierry ViévilleEscape computer dirty magic: learn Scratch !. SCRATCH, Aug 2015, Amsterdam, Netherlands. <http://www.scratch2015ams.org/>
- On Term Selection Techniques for Patent Prior Art SearchMona Golestan Far, Scott Sanner, Mohamed Reda Bouadjenek, Gabriela Ferraro, David HawkingSIGIR: Research and Development in Information Retrieval, Aug 2015, Santiago, Chile. <10.1145/2766462.2767801>
- Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduceSaber Salah, Reza Akbarinia, Florent MassegliaMLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.217-231.
- Aggregation-Aware Compression of Probabilistic Streaming Time SeriesReza Akbarinia, Florent MassegliaMLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.232-247.
- Towards efficient data integration and knowledge management in the Agronomic domainAravind Venkatesan, Nordine El Hassouni, Florian Phillipe, Cyril Pommier, Hadi Quesneville, Manuel Ruiz, Pierre LarmandeAPIA: Applications Pratiques de l'Intelligence Artificielle, Institut National de Recherche en Informatique et en Automatique (INRIA). FRA., Jul 2015, Rennes, France. pp.117-124.
- OpenAlea: Scientific Workflows Combining Data Analysis and SimulationChristophe Pradal, Christian Fournier, Patrick Valduriez, Sarah Cohen-BoulakiaSSDBM: Scientific and Statistical Database Management, Jun 2015, San Diego, United States. <10.1145/2791347.2791365>
- DigInPix: Visual Named-Entities Identification in Images and VideosPierre Letessier, Nicolas Hervé, Alexis Joly, Hakim Nabi, Mathieu Derval, Olivier BuissonICMR: International Conference on Multimedia Retrieval, Jun 2015, Shanghai, China. pp.661-664.
- Kernelizing Spatially Consistent Visual Matches for Fine-Grained ClassificationValentin Leveau, Alexis Joly, Olivier Buisson, Patrick ValduriezICMR: International Conference on Multimedia Retrieval, Jun 2015, Shangai, China. pp.155-162.
- A Study of Query Reformulation for Patent Prior Art Search with Partial Patent ApplicationsMohamed Reda Bouadjenek, Scott Sanner, Gabriela FerraroICAIL: International Conference on Artificial Intelligence and Law, Jun 2015, San Diego, United States. pp.23-32.
- Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series ClusteringTristan Allard, Georges Hébrail, Florent Masseglia, Esther PacittiSIGMOD: International Conference on Management of Data, May 2015, Melbourne, Australia. pp.779-794.
- Data-intensive HPC: opportunities and challengesPatrick ValduriezBDEC: Big Data and Extreme-scale Computing, Barcelona Supercomputing Center, Jan 2015, Barcelone, Spain.
2014
- Fine-grained Visual Faceted SearchJulien Champ, Alexis Joly, Pierre BonnetMM: Conference on Multimedia, Nov 2014, Orlando, FL, United States. pp.721-722.
- Recognizing Thousands of Legal Entities through Instance-based Visual ClassificationValentin Leveau, Alexis Joly, Olivier Buisson, Pierre Letessier, Patrick ValduriezMM: Conference on Multimedia, Nov 2014, Orlando, FL, United States. pp.1029-1032.
- NACluster: A Non-Supervised Clustering Algorithm for Matching Multi CataloguesVinícius Pires de Moura Freire, Fábio André Machado Porto, José Antonio Fernandes de Macêdo, Reza AkbariniaInternational Conference on e-Science, Oct 2014, Guarujá, SP, Brazil. pp.83-86.
- Layer Decomposition: An Effective Structure-based Approach for Scientific Workflow SimilarityJohannes Starlinger, Sarah Cohen-Boulakia, Sanjeev Khanna, Susan Davidson, Ulf LeserInternational Conference on e-Science, Oct 2014, Guarujá, Brazil. pp.169-176.
- Compression de flux de données probabilistes attentive à l'agrégationReza Akbarinia, Florent MassegliaBDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France. <http://bda2014.imag.fr>
- Multisite Management of Data-intensive Scientific Workflows in the CloudJi LiuBDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France. pp.28-30.
- PlantRT : a Distributed Recommendation Tool for Citizen ScienceMaximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Alexis Joly, Julien ChampBDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France. pp.48-50.
- Exploiting Diversification in Distributed RecommendationMaximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El AbbadiBDA: Gestion de Données — Principes, Technologies et Applications, IMAG, Oct 2014, Autrans, France. <http://bda2014.imag.fr>
- Pl@ntNet, une plate-forme innovante d'agrégation et partage d'observations botaniquesDaniel Barthélémy, Nozha Boujemaa, Jean-François Molino, Alexis Joly, Hervé Goëau, Vera Bakić, Souheil Selmi, Julien Champ, Jennifer Carre, Mathias Chouet, Aurélien Perronnet, Christelle Vignau, Samuel Dufour-Kowalski, Antoine Affouard, Julien Barbe, Pierre BonnetInternational Conference ‘Botanists of the Twenty-first Century’, UNESCO, Sep 2014, Paris, France. pp.191-197.
- LifeCLEF 2014: Multimedia Life Species Identification ChallengesAlexis Joly, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Robert Planque, Andreas Rauber, Bob Fisher, Henning MüllerCLEF: Cross-Language Evaluation Forum, Sep 2014, Sheffield, United Kingdom. pp.229-249.
- LifeCLEF Bird Identification Task 2014Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planqué, Andreas Rauber, Alexis JolyCLEF: Conference and Labs of the Evaluation Forum, Sep 2014, Sheffield, United Kingdom. pp.585-597.
- PlantNet Participation at LifeCLEF2014 Plant Identification TaskHervé Goëau, Alexis Joly, Itheri Yahiaoui, Vera Bakić, Anne Verroust-Blondet, Pierre Bonnet, Daniel Barthélémy, Nozha Boujemaa, Jean-François MolinoCLEF: Conference and Labs of the Evaluation Forum, Sep 2014, Sheffield, United Kingdom. pp.724-737.
- LifeCLEF Plant Identification Task 2014Hervé Goëau, Alexis Joly, Pierre Bonnet, Souheil Selmi, Jean-François Molino, Daniel Barthélémy, Nozha BoujemaaCLEF: Conference and Labs of the Evaluation Forum, University of Scheffield. GBR., Sep 2014, Sheffield, United Kingdom. pp.598-615.
- Instance-based Bird Species Identification with Undiscriminant Features PruningAlexis Joly, Julien Champ, Olivier BuissonCLEF: Conference and Labs of the Evaluation Forum, Sep 2014, Sheffield, United Kingdom. pp.625-633.
- Exploiting Diversification in Gossip-Based RecommendationMaximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El AbbadiGlobe, Sep 2014, Munich, Germany. pp.25-36.
- Scientific Workflow Partitioning in Multi-site CloudsJi Liu, Esther Pacitti, Patrick Valduriez, Vitor Silva Souza, Marta MattosoEuro-Par: Parallel Processing Workshops, Aug 2014, Porto, Portugal. pp.105-116.
- Pl@ntNet Mobile 2014: Android port and new featuresHervé Goëau, Pierre Bonnet, Alexis Joly, Antoine Affouard, Vera Bakić, Julien Barbe, Samuel Dufour-Kowalski, Souheil Selmi, Yahiaoui Itheri, Christel Vignau, Daniel Barthélémy, Nozha BoujemaaICMR: International Conference on Multimedia Retrieval, Apr 2014, Glasgow, United Kingdom. pp.527-530.
- LifeCLEF: Multimedia Life Species IdentificationAlexis Joly, Henning Müller, Hervé Goëau, Hervé Glotin, Concetto Spampinato, Andreas Rauber, Pierre Bonnet, Willem-Pier Vellinga, Bob FisherEMR: Environmental Multimedia Retrieval, Apr 2014, Glasgow, United Kingdom. pp.7-13.
Dernière mise à jour le 11/06/2020
Département : Informatique
Responsable : Esther PACITTI
Adjoint : Florent MASSEGLIA
Site de l'équipe : http://team.inria.fr/zenith
Fiche-équipe ZENITH
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