Nombre de documents

51


  


Article dans une revue10 documents

  • Xiangliang Zhang, Cyril Furtlehner, Cecile Germain-Renaud, Michèle Sebag. Data Stream Clustering with Affinity Propagation. IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2014, 26 (7), pp.1. 〈hal-00862941〉
  • Dawei Feng, Cecile Germain-Renaud, Tristan Glatard. Efficient Distributed Monitoring with Active Collaborative Prediction. Future Generation Computer Systems, Elsevier, 2013, 29 (8), pp.2272-2283. 〈10.1016/j.future.2013.06.001〉. 〈hal-00784038〉
  • Tamas Elteto, Nikolaus Hansen, Cecile Germain-Renaud, Pascal Bondon. Scalable structural break detection. Applied Soft Computing, Elsevier, 2012, 〈10.1016/j.asoc.2012.06.002〉. 〈hal-00711843〉
  • Tamas Elteto, Cecile Germain-Renaud, Pascal Bondon, Michèle Sebag. Towards Non-Stationary Grid Models. Journal of Grid Computing, Springer Verlag, 2011, 9 (4), pp.423-440. 〈10.1007/s10723-011-9194-z〉. 〈inria-00616279〉
  • Julien Perez, Cecile Germain-Renaud, Balázs Kégl, Charles Loomis. Multi-objective reinforcement learning for responsive grids. Journal of Grid Computing, Springer Verlag, 2010, 8 (3), pp.473-492. 〈10.1007/s10723-010-9161-0〉. 〈hal-00491560〉
  • Cecile Germain-Renaud, Omer Rana. The Convergence of Clouds, Grids, and Autonomics - GMAC Panel Session report. IEEE Internet Computing, Institute of Electrical and Electronics Engineers, 2009, 13 (6), pp.9. 〈http://www.computer.org/portal/web/computingnow/panel〉. 〈inria-00434044〉
  • D. Tregouet, Inke König, J. Erdemann, A. Munteanu, Peter Braund, et al.. Genome-wide haplotype association study identifies the SLC22A3-LPAL2-LPA gene cluster as a risk locus for coronary artery disease. Nature Genetics, Nature Publishing Group, 2009, 41, pp.283-285. 〈inria-00433429〉
  • Cecile Germain-Renaud, Charles Loomis, Jakub Moscicki, Romain Texier. Scheduling for Responsive Grids. Journal of Grid Computing, Springer Verlag, 2008, 6 (1), pp.15-27. 〈10.1007/s10723-007-9086-4〉. 〈inria-00117486〉
  • Cecile Germain-Renaud, Angel Osorio, Romain Texier. Interactive Volume Reconstruction and Measurement on the Grid. Methods of Information in Medicine, Schattauer, 2005, 44 (2), pp.227-232. 〈inria-00288872〉
  • Cécile Germain-Renaud, Vincent Breton, Patrick Clarysse, Yann Gaudeau, Tristan Glatard, et al.. Grid-enabling medical image analysis. International Journal of Clinical Monitoring and Computing, Springer Verlag, 2005, 19 (4-5), pp.339-349. 〈10.1007/s10877-005-0679-9〉. 〈inria-00174284〉

Communication dans un congrès33 documents

  • Claire Adam-Bourdarios, G. Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, et al.. How Machine Learning won the Higgs Boson Challenge. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2016, Bruges, Belgium. ESANN 2016 proceedings. 〈hal-01423097〉
  • Karima Rafes, Cécile Germain. A platform for scientific data sharing. BDA2015 - Bases de Données Avancées, Sep 2015, Île de Porquerolles, France. 〈hal-01168496〉
  • Karima Rafes, Julien Nauroy, Cécile Germain. Certifying the interoperability of RDF database systems. LDQ 2015 - 2nd Workshop on Linked Data Quality, May 2015, Portorož, Slovenia. Springer, 2015, 2nd Workshop on Linked Data Quality (LDQ). 〈http://ldq.semanticmultimedia.org/〉. 〈hal-01147765〉
  • Karima Rafes, Julien Nauroy, Cécile Germain. TFT, Tests For Triplestores: Certifying the interoperability of RDF database systems using a continuous delivery workflow. Semantic Web Challenge, part of the International Semantic Web Conference, Oct 2014, Riva Del Garda, Italy. 〈http://challenge.semanticweb.org/2014/submissions/〉. 〈hal-01104252〉
  • Dawei Feng, Cecile Germain-Renaud, Julien Nauroy. Sequential fault monitoring. Cloud and Autonomic Computing, Sep 2014, London, United Kingdom. IEEE, 2014. 〈hal-01064161〉
  • Balazs Kégl, David Rousseau, Cécile Germain, Isabelle Guyon, Glen Cowan. Introduction to the HEPML Workshop and the HiggsML challenge. HEPML workshop at NIPS14 - Neural Information Processing Systems Conference, Dec 2014, Montreal, Canada. 〈in2p3-01100982〉
  • Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, et al.. The Higgs boson machine learning challenge. NIPS 2014 Workshop on High-energy Physics and Machine Learning, Dec 2014, Montreal, Canada. 42, pp.37, 2015, JMLR: Workshop and Conference Proceedings. 〈hal-01208587〉
  • Claire Adam-Bourdarios, Glen Cowan, Cecile Germain, Isabelle Guyon, B. Kegl, et al.. The ATLAS Higgs Boson Machine Learning Challenge. International Conference on High Energy Physics(ICHEP) Conference, Jul 2014, Valencia, Spain. Nuclear Physics B - Proceedings Supplements (A paraître). 〈hal-01111177〉
  • Dawei Feng, Cecile Germain-Renaud, Tristan Glatard. Efficient fault monitoring with Collaborative Prediction. journées scientifiques mésocentres et France Grilles 2012, Oct 2012, Paris, France. 〈hal-00766086〉
  • Dawei Feng, Cecile Germain-Renaud, Tristan Glatard. Distributed Monitoring with Collaborative Prediction. 12th IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid'12), May 2012, Ottawa, Canada. IEEE, epub ahead of print, 2012. 〈hal-00673148〉
  • Cécile Germain-Renaud, Frédéric Fürst, Michel Jouvin, Gilles Kassel, Julien Nauroy, et al.. The Green Computing Observatory: a data curation approach for green IT. International Conference on Cloud and Green Computing, Dec 2011, Sydney, Australia. 2011. 〈inria-00632423〉
  • Cecile Germain-Renaud, Alain Cady, Philippe Gauron, Michel Jouvin, Charles Loomis, et al.. The Grid Observatory. IEEE Computer Society Press. IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, May 2011, Newport Beach, United States. 2011. 〈inria-00586502〉
  • Julien Perez, Balázs Kégl, Cecile Germain-Renaud. Non-Markovian Reinforcement Learning for Reactive Grid scheduling. Presses Universitaires des Antilles et de la Guyane. Conférence Francophone d'Apprentissage, May 2011, Chambéry, France. Publibook, 2011. 〈inria-00586504〉
  • Cecile Germain-Renaud. Modèles comportementaux de la grille : enjeux et exemples. Premières journées scientifiques France-Grilles, Sep 2011, Lyon, France. 2011. 〈inria-00632438〉
  • Yusik Kim, Cecile Germain-Renaud. Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation. 4th IEEE International Conference on Utility and Cloud Computing (UCC 2011), Dec 2011, Melbourne, Australia. IEEE, 2011. 〈inria-00617914〉
  • Cecile Germain-Renaud. Modèles comportementaux de la grille : enjeux et exemples. Rencontres Scientifiques France Grilles 2011, Sep 2011, Lyon, France. 〈hal-00652998〉
  • Tamas Elteto, Cecile Germain-Renaud, Pascal Bondon, Michèle Sebag. Discovering Piecewise Linear Models of Grid Workload. 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, May 2010, Melbourne, Australia. IEEE Computer Society, pp.474-484, 2010. 〈hal-00491562〉
  • Xiangliang Zhang, Cecile Germain-Renaud, Michèle Sebag. Adaptively Detecting Changes in Autonomic Grid Computing. Procs of ACS 2010, Oct 2010, Belgium. http://wiki.esi.ac.uk/ACS2010, 2010. 〈hal-00540579〉
  • Cecile Germain-Renaud, Alain Cady. Performance evaluation of the Estimated Response Time strategy: tools, methods and an experiment. EGEE User Forum, Apr 2010, Uppsala, Sweden. 2010. 〈inria-00544441〉
  • Asterios Katsifodimos, Jean-Daniel Fekete, Alain Cady, Cecile Germain-Renaud. Visualizing the dynamics of e-science social networks. EGEE User Forum, Apr 2010, Uppsala, Sweden. 2010. 〈inria-00544452〉
  • Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain, Michèle Sebag. Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming. 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Jun 2009, Paris, France. 2009. 〈inria-00393825〉
  • Julien Perez, C. Germain Renaud, Balázs Kégl, Charles Loomis. Responsive Elastic Computing. 2009 ACM/IEEE Conference on International Conference on Autonomic Computing, Jun 2009, Barcelone, Spain. ACM, pp.55-64, 2009, 〈10.1145/1555301.1555311〉. 〈inria-00384970〉
  • Xiangliang Zhang, Michèle Sebag, Cecile Germain-Renaud. Multi-scale Real-time Grid Monitoring with Job Stream Mining. CCGrid, May 2009, Shangai, China. 2009. 〈inria-00367544〉
  • Cecile Germain-Renaud, Emmanuel Vazquez, David Colling. Towards a statistical model of EGEE load. 3rd EGEE User Forum, Feb 2008, Clermont-Ferrand, France. 2008. 〈inria-00289568〉
  • Cécile Germain Renaud, Julien Perez, Balázs Kégl, C. Loomis. Grid Differentiated Services: a Reinforcement Learning Approach. 8th IEEE International Symposium on Cluster Computing and the Grid, May 2008, Lyon, France. 2008. 〈inria-00287826〉
  • Julien Perez, Cécile Germain-Renaud, Balázs Kégl, C. Loomis. Utility-based Reinforcement Learning for Reactive Grids. The 5th IEEE International Conference on Autonomic Computing, May 2008, Chicago, United States. 2008. 〈inria-00287354〉
  • Xiangliang Zhang, Michèle Sebag, Cécile Germain. Le modelage des travaux d'un Système de Grille. 16th congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA), Jan 2008, Amiens, France. 2008. 〈inria-00287384〉
  • Xiangliang Zhang, Michèle Sebag, Cecile Germain-Renaud. Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping files. DSMM07, Oct 2007, Omaha, United States. 2007. 〈inria-00174285〉
  • Julien Perez, Cecile Germain-Renaud, Balázs Kégl. Predicting Bounds on Queuing Delay in the EGEE grid. 2nd EGEE User Forum, May 2007, Manchester, United Kingdom. 2007. 〈inria-00174290〉
  • Xiangliang Zhang, Michèle Sebag, Cecile Germain-Renaud. Fault Detection and Diagnosis from the Logging and Bookkeping Data. 2nd EGEE User Forum, May 2007, Manchester, United Kingdom. 2007. 〈inria-00174286〉
  • Cecile Germain-Renaud. Scheduling for Interactive Grids. First EGEE User Forum, Mar 2006, Genève/Suisse, Switzerland. 2006. 〈inria-00117492〉
  • Cecile Germain-Renaud, Charles Loomis, Romain Texier, Angel Osorio. Grid Scheduling for Interactive Analysis. HealthGrid 2006, Jun 2006, Valencia/Spain, Spain. IOS Press, 120, pp.25-33, 2006, Studies in Health Technology and Informatics. 〈inria-00117491〉
  • Cécile Germain, Vincent Breton, Patrick Clarysse, Yann Gaudeau, Tristan Glatard, et al.. Grid-enabling medical image analysis. Cluster Computing and Grid 2005 (CCGrid05) Bio-Medical Computations on the Grid (Bio-Grid), May 2005, Cardiff, United Kingdom. Springer Netherlands, 19 (4/5), pp.339-349, 2005, 〈10.1007/s10877-005-0679-9〉. 〈hal-00166971〉

Poster2 documents

  • Sana Tfaili, Diem Bui Thi, Karima Rafes, Ali Tfayli, Arlette Baillet-Guffroy, et al.. Data acquisition for analytical platforms: Automating scientific workflows and building an open database platform for chemical anlysis metadata. Chimiométrie XVII, Jan 2016, Namur, Belgium. 〈hal-01423371〉
  • David Rousseau, Cécile Germain, Vincenzo Innocente, Riccardo Cenci, Michael Kagan, et al.. The Tracking Machine Learning Challenge. NIPS workshop: Challenges in Machine Learning (CiML), Dec 2016, Barcelona, Spain. 〈hal-01422941〉

Chapitre d'ouvrage1 document

  • Cecile Germain-Renaud, Vincent Breton, Patrick Clarysse, Bertrand Delhay, Yann Gaudeau, et al.. Grid Analysis of Radiological Data. Mario Cannataro (Ed.). Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare, IGI, pp.363-391, 2009, chapter 19, 〈10.4018/978-1-60566-374-6.ch019〉. 〈hal-00683992〉

Direction d'ouvrage, Proceedings, Dossier1 document

Autre publication3 documents

  • Cécile Germain, Julien Nauroy, Karima Rafes. The Grid Observatory 3.0 - Towards reproducible research and open collaborations using semantic technologies. EGI Community Forum 2014. 2015. 〈hal-01104235〉
  • Claire Adam-Bourdarios, Glen Cowan, Cecile Germain, Isabelle Guyon, Balázs Kégl, et al.. Learning to discover: the Higgs boson machine learning challenge: Documentation. The Higgs boson machine learning challenge has been set up to promote collaboration between high .. 2014, 〈10.7483/OPENDATA.ATLAS.MQ5J.GHXA〉. 〈hal-01104487〉
  • Dawei Feng, Cecile Germain-Renaud, Tristan Glatard. Efficient fault monitoring with Collaborative Prediction. Journées scientifiques mésocentres et France Grilles. 2012. 〈hal-00758025〉

Rapport1 document

  • Tamas Elteto, Cecile Germain-Renaud, Pascal Bondon. Discovering Linear Models of Grid Workload. [Research Report] RR-7112, INRIA. 2009. 〈inria-00435561〉