Cecile Germain

63
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Présentation

Publications

Publications

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The Tracking Machine Learning challenge : Throughput phase

Sabrina Amrouche , Laurent Basara , Paolo Calafiura , Dmitry Emeliyanov , Victor Estrade et al.
Computing and Software for Big Science, 2023, 7 (1), pp.1. ⟨10.1007/s41781-023-00094-w⟩
Article dans une revue hal-03159824 v2
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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
Article dans une revue hal-00862941 v1
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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⟩
Article dans une revue hal-00784038 v1
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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⟩
Article dans une revue hal-00711843 v1
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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⟩
Article dans une revue inria-00616279 v1
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Multi-objective reinforcement learning for responsive grids

Julien Perez , Cecile Germain-Renaud , Balázs Kégl , Charles Loomis
Journal of Grid Computing, 2010, 8 (3), pp.473-492. ⟨10.1007/s10723-010-9161-0⟩
Article dans une revue istex hal-00491560 v1

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

Cecile Germain-Renaud , Omer Rana
IEEE Internet Computing, 2009, 13 (6), pp.9
Article dans une revue inria-00434044 v1

Genome-wide haplotype association study identifies the SLC22A3-LPAL2-LPA gene cluster as a risk locus for coronary artery disease

D. A. Tregouet , Inke König , J. Erdemann , A. Munteanu , Peter Braund et al.
Nature Genetics, 2009, 41, pp.283-285
Article dans une revue inria-00433429 v1
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Scheduling for Responsive Grids

Cecile Germain-Renaud , Charles Loomis , Jakub Moscicki , Romain Texier
Journal of Grid Computing, 2008, 6 (1), pp.15-27. ⟨10.1007/s10723-007-9086-4⟩
Article dans une revue inria-00117486 v1

Interactive Volume Reconstruction and Measurement on the Grid

Cecile Germain-Renaud , Angel Osorio , Romain Texier
Methods of Information in Medicine, 2005, 44 (2), pp.227-232. ⟨10.1055/s-0038-1633952⟩
Article dans une revue inria-00288872 v1
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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⟩
Article dans une revue inria-00174284 v1
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Anomaly Detection With Conditional Variational Autoencoders

Adrian Alan Pol , Victor Berger , Gianluca Cerminara , Cécile Germain , Maurizio Pierini
ICMLA 2019 - 18th IEEE International Conference on Machine Learning and Applications, Dec 2019, Boca Raton, United States. pp.1651-1657, ⟨10.1109/ICMLA.2019.00270⟩
Communication dans un congrès hal-02396279 v1
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Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Adrian Alan Pol , Victor Berger , Gianluca Cerminara , Cécile Germain , Maurizio Pierini
Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec 2019, Vancouver, Canada
Communication dans un congrès hal-02428005 v1
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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
Communication dans un congrès hal-01715155 v1
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The TrackML challenge

David Rousseau , Sabrina Amrouche , Paolo Calafiura , Victor Estrade , Steven Farrell et al.
NIPS 2018 - 32nd Annual Conference on Neural Information Processing Systems, Dec 2018, Montreal, Canada. pp.1-23
Communication dans un congrès hal-01745714 v1
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Adversarial learning to eliminate systematic errors: a case study in High Energy Physics

Victor Estrade , Cécile Germain , Isabelle Guyon , David Rousseau
NIPS 2017 - workshop Deep Learning for Physical Sciences, Dec 2017, Long Beach, United States. pp.1-5
Communication dans un congrès hal-01665925 v1
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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
Communication dans un congrès hal-01423097 v1

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⟩
Communication dans un congrès hal-01745998 v1
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Certifying the interoperability of RDF database systems

Karima Rafes , Julien Nauroy , Cécile Germain
LDQ 2015 - 2nd Workshop on Linked Data Quality, May 2015, Portorož, Slovenia
Communication dans un congrès hal-01147765 v1
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The Higgs boson machine learning challenge

Claire Adam-Bourdarios , Glen Cowan , Cécile Germain , Isabelle Guyon , Balázs Kégl et al.
NIPS 2014 Workshop on High-energy Physics and Machine Learning, Dec 2014, Montreal, Canada. pp.37
Communication dans un congrès hal-01208587 v1
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A platform for scientific data sharing

Karima Rafes , Cécile Germain
BDA2015 - Bases de Données Avancées, Sep 2015, Île de Porquerolles, France
Communication dans un congrès hal-01168496 v1
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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
Communication dans un congrès hal-01104252 v1

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
Communication dans un congrès hal-01111177 v1
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Sequential fault monitoring

Dawei Feng , Cecile Germain-Renaud , Julien Nauroy
Cloud and Autonomic Computing, Sep 2014, London, United Kingdom
Communication dans un congrès hal-01064161 v1

Introduction to the HEPML Workshop and the HiggsML challenge

Balazs Kégl , David Rousseau , Cécile Germain , Isabelle Guyon , Glen Cowan
HEPML workshop at NIPS14 - Neural Information Processing Systems Conference, Dec 2014, Montreal, Canada
Communication dans un congrès in2p3-01100982 v1
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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
Communication dans un congrès hal-00673148 v1
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Efficient fault monitoring with Collaborative Prediction

Dawei Feng , Cecile Germain-Renaud , Tristan Glatard
journées scientifiques mésocentres et France Grilles 2012, Oct 2012, Paris, France
Communication dans un congrès hal-00766086 v1
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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
Communication dans un congrès inria-00586502 v1
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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
Communication dans un congrès inria-00586504 v1
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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
Communication dans un congrès inria-00632423 v1
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Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation

Yusik Kim , Cecile Germain-Renaud
4th IEEE International Conference on Utility and Cloud Computing (UCC 2011), Dec 2011, Melbourne, Australia
Communication dans un congrès inria-00617914 v1
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Modèles comportementaux de la grille : enjeux et exemples

Cecile Germain-Renaud
Premières journées scientifiques France-Grilles, Sep 2011, Lyon, France
Communication dans un congrès inria-00632438 v1
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Modèles comportementaux de la grille : enjeux et exemples

Cecile Germain-Renaud
Rencontres Scientifiques France Grilles 2011, Sep 2011, Lyon, France
Communication dans un congrès hal-00652998 v1
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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
Communication dans un congrès hal-00491562 v1

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
Communication dans un congrès inria-00544441 v1
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Adaptively Detecting Changes in Autonomic Grid Computing

Xiangliang Zhang , Cecile Germain-Renaud , Michèle Sebag
Procs of ACS 2010, Oct 2010, Belgium. http://wiki.esi.ac.uk/ACS2010
Communication dans un congrès hal-00540579 v1

Visualizing the dynamics of e-science social networks

Asterios Katsifodimos , Jean-Daniel Fekete , Alain Cady , Cecile Germain-Renaud
EGEE User Forum, Apr 2010, Uppsala, Sweden
Communication dans un congrès inria-00544452 v1
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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
Communication dans un congrès inria-00393825 v1

One year of the Grid Observatory

Cecile Germain-Renaud
EGEE'09, Sep 2009, Barcelone, Spain
Communication dans un congrès in2p3-00430415 v1
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Responsive Elastic Computing

Julien Perez , C. Germain Renaud , Balázs Kégl , Charles Loomis
2009 ACM/IEEE Conference on International Conference on Autonomic Computing, Jun 2009, Barcelone, Spain. pp.55-64, ⟨10.1145/1555301.1555311⟩
Communication dans un congrès inria-00384970 v1
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Multi-scale Real-time Grid Monitoring with Job Stream Mining

Xiangliang Zhang , Michèle Sebag , Cecile Germain-Renaud
CCGrid, May 2009, Shanghai, China
Communication dans un congrès inria-00367544 v1
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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
Communication dans un congrès inria-00287826 v1
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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
Communication dans un congrès inria-00287354 v1
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Le modelage des travaux d'un Système de Grille

Xiangliang Zhang , Michèle Sebag , Cécile Germain
16th congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA), Jan 2008, Amiens, France
Communication dans un congrès inria-00287384 v1

Towards a statistical model of EGEE load

Cecile Germain-Renaud , Emmanuel Vazquez , David Colling
3rd EGEE User Forum, EGEE-II project, Feb 2008, Clermont-Ferrand, France
Communication dans un congrès inria-00289568 v1
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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
Communication dans un congrès inria-00174290 v1
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Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping files

Xiangliang Zhang , Michèle Sebag , Cecile Germain-Renaud
DSMM07, Oct 2007, Omaha, United States
Communication dans un congrès inria-00174285 v1

Fault Detection and Diagnosis from the Logging and Bookkeping Data

Xiangliang Zhang , Michèle Sebag , Cecile Germain-Renaud
2nd EGEE User Forum, May 2007, Manchester, United Kingdom
Communication dans un congrès inria-00174286 v1
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Grid Scheduling for Interactive Analysis

Cecile Germain-Renaud , Charles Loomis , Romain Texier , Angel Osorio
HealthGrid 2006, Jun 2006, Valencia, Spain. pp.25-33
Communication dans un congrès inria-00117491 v1

Scheduling for Interactive Grids

Cecile Germain-Renaud
First EGEE User Forum, Mar 2006, Genève, Switzerland
Communication dans un congrès inria-00117492 v1
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Grid-enabling medical image analysis

Cécile Germain , Vincent Breton , Patrick Clarysse , Yann Gaudeau , Tristan Glatard et al.
Cluster Computing and Grid 2005 (CCGrid05) Bio-Medical Computations on the Grid (Bio-Grid), May 2005, Cardiff, United Kingdom. pp.339-349, ⟨10.1007/s10877-005-0679-9⟩
Communication dans un congrès hal-00166971 v1
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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
Document associé à des manifestations scientifiques hal-01665940 v1
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Robust deep learning: A case study

Victor Estrade , Cécile Germain , Isabelle Guyon , David Rousseau
JDSE 2017 - 2nd Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France. , pp.1-5, 2017
Document associé à des manifestations scientifiques hal-01665938 v1

Les occupations néolithiques de "la Bruyère du Hamel" à Condé-sur-Ifs (Calvados)

Jean-Luc Dron , François Charraud , David Gâche , Isabelle Le Goff , David Aoustin et al.
Société préhistorique française, 62, 2016, Mémoires de la Société Préhistorique Française, 978-2-913745-68-1
Ouvrages hal-02894569 v1
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Data Quality Monitoring Anomaly Detection

Adrian Alan Pol , Gianluca Cerminara , Cécile Germain , Maurizio Pierini
Artificial Intelligence for High Energy Physics, World Scientific, 2022, ⟨10.1142/9789811234033_0004⟩
Chapitre d'ouvrage hal-03159873 v1
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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⟩
Chapitre d'ouvrage hal-00683992 v1
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Discovering Linear Models of Grid Workload

Tamas Elteto , Cecile Germain-Renaud , Pascal Bondon
[Research Report] RR-7112, INRIA. 2009
Rapport (rapport de recherche) inria-00435561 v1