Cecile Germain

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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-03159824v2

Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider

Adrian Alan Pol , Gianluca Cerminara , Cécile Germain , Maurizio Pierini , Agrima Seth

Computing and Software for Big Science, 2019, 3 (1), pp.3. ⟨10.1007/s41781-018-0020-1⟩

Article dans une revue hal-02427998v1

Fault monitoring with sequential matrix factorization

Dawei Feng , Cecile Germain

ACM Transactions on Autonomous and Adaptive Systems, 2015, 10 (3), pp.20:1--20:25. ⟨10.1145/2797141⟩

Article dans une revue hal-01176013v1

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-00862941v1

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-00784038v1

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-00711843v1

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-00616279v1

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-00491560v1

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-00433429v1

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-00434044v1

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-00117486v1

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-00288872v1

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-00174284v1

Deep learning for certification of the quality of the data acquired by the CMS Experiment

Adrian Alan Pol , Virginia Azzolini , Gianluca Cerminara , Federico de Guio , Giovanni Franzoni et al.

19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Mar 2019, Saas-Fee, Switzerland. pp.012045, ⟨10.1088/1742-6596/1525/1/012045⟩

Communication dans un congrès hal-02911956v1

The TrackML high-energy physics tracking challenge on Kaggle

Moritz Kiehn , Sabrina Amrouche , Paolo Calafiura , Victor Estrade , Steven Farrell et al.

23rd International Conference on Computing in High Energy and Nuclear Physics, Jul 2018, Sofia, Bulgaria. pp.06037, ⟨10.1051/epjconf/201921406037⟩

Communication dans un congrès hal-02372462v1

Systematic aware learning - A case study in High Energy Physics

Victor Estrade , Cécile Germain , Isabelle Guyon , David Rousseau

23rd International Conference on Computing in High Energy and Nuclear Physics, Jul 2018, Sofia, Bulgaria. pp.06024, ⟨10.1051/epjconf/201921406024⟩

Communication dans un congrès hal-02403581v1

TrackML : a tracking Machine Learning challenge

Tobias Golling , Sabrina Amrouche , Moritz Kiehn , Paolo Calafiura , Steven Farrell et al.

39th International Conference on High Energy Physics, Jul 2018, Seoul, South Korea. pp.159, ⟨10.22323/1.340.0159⟩

Communication dans un congrès hal-02302743v1

Anomaly Detection With Conditional Variational Autoencoders

Adrian Alan Pol , Victor Berger , Gianluca Cerminara , Cecile Germain , Maurizio Pierini

Eighteenth International Conference on Machine Learning and Applications, Dec 2019, Boca Raton, United States

Communication dans un congrès hal-02981204v1

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-02396279v1

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-02428005v1

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-01715155v1

TrackML: A High Energy Physics Particle Tracking Challenge

Polo Calafiura , Steven Farrell , Heather Gray , Jean-Roch Vlimant , Vincenzo Innocente et al.

14th International Conference on e-Science, Oct 2018, Amsterdam, Netherlands. pp.344, ⟨10.1109/eScience.2018.00088⟩

Communication dans un congrès hal-02073926v1

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-01745714v1

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-01665925v1

Track reconstruction at LHC as a collaborative data challenge use case with RAMP

Sabrina Amrouche , Nils Braun , Paolo Calafiura , Steven Farrell , Jochen Gemmler et al.

Connecting The Dots / Intelligent Tracker, Mar 2017, Orsay, France. pp.00015, ⟨10.1051/epjconf/201715000015⟩

Communication dans un congrès hal-01584689v1

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-01423097v1

TrackML: a LHC Tracking Machine Learning Challenge

David Rousseau , Paolo Calafiura , Cecile Germain , Vincenzo Innocente , Riccardo Cenci et al.

International Conference on Computing in High Energy and Nuclear Physics, Oct 2016, San Francisco, United States

Communication dans un congrès hal-01422939v1

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-01168496v1

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-01745998v1

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-01147765v1

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-01208587v1

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-01104252v1

Sequential fault monitoring

Dawei Feng , Cecile Germain-Renaud , Julien Nauroy

Cloud and Autonomic Computing, Sep 2014, London, United Kingdom

Communication dans un congrès hal-01064161v1

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-01111177v1

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 in2p3-01100982v1

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-00766086v1

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-00673148v1

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-00652998v1

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-00632438v1

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-00586502v1

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-00586504v1

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-00632423v1

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-00617914v1

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-00544441v1

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-00491562v1

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-00540579v1

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-00544452v1

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-00393825v1

One year of the Grid Observatory

Cecile Germain-Renaud

EGEE'09, Sep 2009, Barcelone, Spain

Communication dans un congrès in2p3-00430415v1

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-00384970v1

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-00367544v1

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-00289568v1

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-00287826v1

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-00287354v1

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-00287384v1

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-00174290v1

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-00174285v1

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-00174286v1

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-00117491v1

Scheduling for Interactive Grids

Cecile Germain-Renaud

First EGEE User Forum, Mar 2006, Genève, Switzerland

Communication dans un congrès inria-00117492v1

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-00166971v1

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

Poster de conférence 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

Poster de conférence hal-01422941v1

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-01665938v1

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-01665940v1

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-02894569v1

Data Quality Monitoring Anomaly Detection

Adrian Alan Pol , Gianluca Cerminara , Cécile Germain , Maurizio Pierini

Artificial Intelligence for High Energy Physics, World Scientific, pp.115-149, 2022, ⟨10.1142/9789811234033_0005⟩

Chapitre d'ouvrage hal-03159873v1

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-00683992v1