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Summary of the Weizmann workshop: Hammers & Nails - Machine Learning & HEPDocuments associated with scientific events hal-01665940v1 |
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Systematics aware learning: a case study in High Energy PhysicsESANN 2018 - 26th European Symposium on Artificial Neural Networks, Apr 2018, Bruges, Belgium
Conference papers
hal-01715155v1
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Predicting Bounds on Queuing Delay in the EGEE grid2nd EGEE User Forum, May 2007, Manchester, United Kingdom
Conference papers
inria-00174290v1
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Grid Differentiated Services: a Reinforcement Learning Approach8th IEEE International Symposium on Cluster Computing and the Grid, May 2008, Lyon, France
Conference papers
inria-00287826v1
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Towards Non-Stationary Grid ModelsJournal of Grid Computing, 2011, 9 (4), pp.423-440. ⟨10.1007/s10723-011-9194-z⟩
Journal articles
inria-00616279v1
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Learning to discover: the Higgs boson machine learning challengeOther publications hal-01104487v1 |
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Efficient fault monitoring with Collaborative Prediction2012
Other publications
hal-00758025v1
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Performance evaluation of the Estimated Response Time strategy: tools, methods and an experimentEGEE User Forum, Apr 2010, Uppsala, Sweden
Conference papers
inria-00544441v1
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Discovering Piecewise Linear Models of Grid Workload10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, May 2010, Melbourne, Australia. pp.474-484
Conference papers
hal-00491562v1
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The Grid ObservatoryIEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, May 2011, Newport Beach, United States
Conference papers
inria-00586502v1
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The Convergence of Clouds, Grids, and Autonomics - GMAC Panel Session reportIEEE Internet Computing, 2009, 13 (6), pp.9
Journal articles
inria-00434044v1
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Grid Scheduling for Interactive AnalysisHealthGrid 2006, Jun 2006, Valencia/Spain, Spain. pp.25-33
Conference papers
inria-00117491v1
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Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Jun 2009, Paris, France
Conference papers
inria-00393825v1
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How Machine Learning won the Higgs Boson ChallengeEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2016, Bruges, Belgium
Conference papers
hal-01423097v1
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Scalable structural break detectionApplied Soft Computing, 2012, ⟨10.1016/j.asoc.2012.06.002⟩
Journal articles
hal-00711843v1
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Data Stream Clustering with Affinity PropagationIEEE Transactions on Knowledge and Data Engineering, 2014, 26 (7), pp.1
Journal articles
hal-00862941v1
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The Green Computing Observatory: a data curation approach for green ITInternational Conference on Cloud and Green Computing, Dec 2011, Sydney, Australia
Conference papers
inria-00632423v1
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The Grid Observatory 3.0 - Towards reproducible research and open collaborations using semantic technologies2015
Other publications
hal-01104235v1
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Non-Markovian Reinforcement Learning for Reactive Grid schedulingConférence Francophone d'Apprentissage, May 2011, Chambéry, France
Conference papers
inria-00586504v1
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Utility-based Reinforcement Learning for Reactive GridsThe 5th IEEE International Conference on Autonomic Computing, May 2008, Chicago, United States
Conference papers
inria-00287354v1
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Grid-enabling medical image analysisInternational Journal of Clinical Monitoring and Computing, 2005, 19 (4-5), pp.339-349. ⟨10.1007/s10877-005-0679-9⟩
Journal articles
inria-00174284v1
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Grid Analysis of Radiological DataMario 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⟩
Book sections
hal-00683992v1
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Distributed Monitoring with Collaborative Prediction12th IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid'12), May 2012, Ottawa, Canada. epub ahead of print
Conference papers
hal-00673148v1
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Efficient Distributed Monitoring with Active Collaborative PredictionFuture Generation Computer Systems, 2013, 29 (8), pp.2272-2283. ⟨10.1016/j.future.2013.06.001⟩
Journal articles
hal-00784038v1
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Data acquisition for analytical platforms: Automating scientific workflows and building an open database platform for chemical anlysis metadataChimiométrie XVII, Jan 2016, Namur, Belgium
Conference poster
hal-01423371v1
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The Tracking Machine Learning ChallengeNIPS workshop: Challenges in Machine Learning (CiML), Dec 2016, Barcelona, Spain
Conference poster
hal-01422941v1
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The Higgs Machine Learning Challenge21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Apr 2015, Okinawa, Japan. pp.072015, ⟨10.1088/1742-6596/664/7/072015⟩
Conference papers
hal-01745998v1
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Sequential fault monitoringCloud and Autonomic Computing, Sep 2014, London, United Kingdom
Conference papers
hal-01064161v1
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TFT, Tests For TriplestoresSemantic Web Challenge, part of the International Semantic Web Conference, Oct 2014, Riva Del Garda, Italy
Conference papers
hal-01104252v1
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The ATLAS Higgs Boson Machine Learning ChallengeInternational Conference on High Energy Physics(ICHEP) Conference, Jul 2014, Valencia, Spain
Conference papers
hal-01111177v1
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