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authIdHal_s : cecile-germain
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Summary of the Weizmann workshop: Hammers & Nails - Machine Learning & HEP

Cécile Germain
2017 - Hammers & Nails - Machine Learning & HEP, Jul 2017, Rehovot, Israel. , pp.1-48, 2017
Documents associated with scientific events hal-01665940v1
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Systematics aware learning: a case study in High Energy Physics

Victor Estrade , Cécile Germain , Isabelle Guyon , David Rousseau
ESANN 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 grid

Julien Perez , Cecile Germain-Renaud , Balázs Kégl
2nd EGEE User Forum, May 2007, Manchester, United Kingdom
Conference papers inria-00174290v1
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Grid Differentiated Services: a Reinforcement Learning Approach

Cécile Germain Renaud , Julien Perez , Balázs Kégl , C. Loomis
8th 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 Models

Tamas Elteto , Cecile Germain-Renaud , Pascal Bondon , Michèle Sebag
Journal of Grid Computing, 2011, 9 (4), pp.423-440. ⟨10.1007/s10723-011-9194-z⟩
Journal articles inria-00616279v1

Learning to discover: the Higgs boson machine learning challenge

Claire Adam-Bourdarios , Glen Cowan , Cecile Germain , Isabelle Guyon , Balázs Kégl , et al.
Other publications hal-01104487v1
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Efficient fault monitoring with Collaborative Prediction

Dawei Feng , Cecile Germain-Renaud , Tristan Glatard
Other publications hal-00758025v1

Performance evaluation of the Estimated Response Time strategy: tools, methods and an experiment

Cecile Germain-Renaud , Alain Cady
EGEE User Forum, Apr 2010, Uppsala, Sweden
Conference papers inria-00544441v1
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Discovering Piecewise Linear Models of Grid Workload

Tamas Elteto , Cecile Germain-Renaud , Pascal Bondon , Michèle Sebag
10th 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 Observatory

Cecile Germain-Renaud , Alain Cady , Philippe Gauron , Michel Jouvin , Charles Loomis , et al.
IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, May 2011, Newport Beach, United States
Conference papers inria-00586502v1

The Convergence of Clouds, Grids, and Autonomics - GMAC Panel Session report

Cecile Germain-Renaud , Omer Rana
IEEE Internet Computing, 2009, 13 (6), pp.9
Journal articles inria-00434044v1
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Grid Scheduling for Interactive Analysis

Cecile Germain-Renaud , Charles Loomis , Romain Texier , Angel Osorio
HealthGrid 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 Streaming

Xiangliang Zhang , Cyril Furtlehner , Julien Perez , Cécile Germain , Michèle Sebag
15th 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 Challenge

Claire Adam-Bourdarios , Glen Cowan , Cécile Germain , Isabelle Guyon , Balázs Kégl , et al.
European 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 detection

Tamas Elteto , Nikolaus Hansen , Cecile Germain-Renaud , Pascal Bondon
Applied Soft Computing, 2012, ⟨10.1016/j.asoc.2012.06.002⟩
Journal articles hal-00711843v1
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Data Stream Clustering with Affinity Propagation

Xiangliang Zhang , Cyril Furtlehner , Cecile Germain-Renaud , Michèle Sebag
IEEE 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 IT

Cécile Germain-Renaud , Frederic Furst , Michel Jouvin , Gilles Kassel , Julien Nauroy , et al.
International 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 technologies

Cécile Germain , Julien Nauroy , Karima Rafes
Other publications hal-01104235v1
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Non-Markovian Reinforcement Learning for Reactive Grid scheduling

Julien Perez , Balázs Kégl , Cecile Germain-Renaud
Conférence Francophone d'Apprentissage, May 2011, Chambéry, France
Conference papers inria-00586504v1
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Utility-based Reinforcement Learning for Reactive Grids

Julien Perez , Cécile Germain-Renaud , Balázs Kégl , C. Loomis
The 5th IEEE International Conference on Autonomic Computing, May 2008, Chicago, United States
Conference papers inria-00287354v1
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Grid-enabling medical image analysis

Cécile Germain-Renaud , Vincent Breton , Patrick Clarysse , Yann Gaudeau , Tristan Glatard , et al.
International 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 Data

Cecile Germain-Renaud , Vincent Breton , Patrick Clarysse , Bertrand Delhay , Yann Gaudeau , et al.
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⟩
Book sections hal-00683992v1
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Distributed Monitoring with Collaborative Prediction

Dawei Feng , Cecile Germain-Renaud , Tristan Glatard
12th 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 Prediction

Dawei Feng , Cecile Germain-Renaud , Tristan Glatard
Future 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 metadata

Sana Tfaili , Diem Bui Thi , Karima Rafes , Ali Tfayli , Arlette Baillet-Guffroy , et al.
Chimiométrie XVII, Jan 2016, Namur, Belgium
Conference poster hal-01423371v1

The Tracking Machine Learning Challenge

David Rousseau , Cécile Germain , Vincenzo Innocente , Riccardo Cenci , Michael Kagan , et al.
NIPS workshop: Challenges in Machine Learning (CiML), Dec 2016, Barcelona, Spain
Conference poster hal-01422941v1

The Higgs Machine Learning Challenge

Claire Adam-Bourdarios , G. Cowan , Cecile Germain-Renaud , Isabelle Guyon , Balázs Kégl , et al.
21st 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 monitoring

Dawei Feng , Cecile Germain-Renaud , Julien Nauroy
Cloud and Autonomic Computing, Sep 2014, London, United Kingdom
Conference papers hal-01064161v1
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TFT, Tests For Triplestores

Karima Rafes , Julien Nauroy , Cécile Germain
Semantic Web Challenge, part of the International Semantic Web Conference, Oct 2014, Riva Del Garda, Italy
Conference papers hal-01104252v1

The ATLAS Higgs Boson Machine Learning Challenge

Claire Adam-Bourdarios , Glen Cowan , Cecile Germain , Isabelle Guyon , B. Kegl , et al.
International Conference on High Energy Physics(ICHEP) Conference, Jul 2014, Valencia, Spain
Conference papers hal-01111177v1