About me

My name is Laetitia Chapel and I am currently an associate professor in statistics and computer science at Université de Bretagne Sud, teaching at the STID department of the Vannes institute of Technology. My research takes place within the OBELIX team of IRISA, a mixed research unit in computer science, signal and image processing, and robotics. My main research topic is machine learning in general, with a particular focus on structured data and with applications in remote sensing.

News

  • July 2017. Yanwei Cui defended his PhD entitled "Kernel-based learning on hierarchical image representations: applications to remote sensing data classification".
  • July 2017. Paper "Efficient Temporal Kernels between Feature Sets for Time Series Classification" with R. Tavenard and S. Malinowski has been accepted to ECML 2017.
  • Jan 2017. I was co-organizing Statlearn 2016 in Vannes. Check the 2017 session that will be held in Lyon in April 2017!

I am the work placement coordinator of my teaching department. If your company or organization is looking for a 2nd or 3rd year intern in statistics and/or business intelligence, offers can be deposited here.

Experience

Current position

  • Teaching within Vannes Institute of Technology (IUT Vannes), UBS.
  • Research within OBELIX research team from IRISA, a Joint Research Institute from CNRS, INRIA, UR1, UBS, Telecom Bretagne, ENS Rennes, INSA Rennes, Supelec.

Short Vitae

  • since 2010. Associate professor (Maître de Conférences) at the Université de Bretagne-Sud.
  • 2008-2010. Research fellow at the Hamilton institute of the National University of Ireland Maynooth.
  • 2007. Ph.D. degree in computer science from Université Blaise Pascal, Clermont-Ferrand, France.
  • 2004-2008. Ph.D. candidate then research engineer at Complex Systems Engineering Laboratory of IRSTEA.
  • 2004. DEA in knowledge discovery in databases, Université Lyon2, equivalent to a Master Degree with research option.
  • 2004. DESS in statistics and computer science, Université Lyon2, equivalent to a Master Degree with professional option.

Students

I am (or was) implied in the advising process of several master students and of the following PhD thesis:
  • Yanwei Cui, who obtained his PhD in 2017, supervised with Sébastien Lefèvre.
  • Adeline Bailly, (started in 2015), supervised with Romain Tavenard.

Projects

I am (or was) implied in the following projects:
  • SESAME (started in 2017) founded by the french ANR.
  • ASTERIX (since 2013) founded by the french Agence Nationale de la Recherche.
  • FAME (2008-2011) founded by Science Fondation Ireland.
  • FutureComm (2008-2011) founded by Higher Education Authority of Ireland.
  • Patres (2007-2010), a FP6 project.
  • DEDUCTION (2007-2010) founded by the french Agence Nationale de la Recherche.

Publications

In chronological order.

[JOURNAL] Nonlinear Time Series Adaptation for Land Cover Classification (Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls), IEEE Geoscience and Remote Sensing Letters , 14(6), pages 896-900, 2017. [doi]
[JOURNAL] Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification (Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre), Remote Sensing, 9(3), 2017. [doi]
[PROC] Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach (Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre), Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2016.
[PROC] Combining Multiple Resolutions into Hierarchical Representations for kernel-based Image Classification (Yanwei Cui, Sébastien Lefèvre, Laetitia Chapel, Anne Puissant), International Conference on Geographic Object-Based Image Analysis (GEOBIA), 2016.
[PROC] Classification of MODIS time series with dense bag-of-temporal-sift-words: application to cropland mapping in the Brazilian amazon (Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard), IEEE International conference on Geoscience and Remote Sensing Symposium (IGARSS), pages 2300-2303, 2016. [bibtex]
[CHAPTER] Dense Bag-of-Temporal-SIFT-Words for Time Series Classification (Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thoma Guyet), LNAI special volume of Advanced Analytics and Learning on Temporal Data (AALTD) 2015 conference 9785, pages 17-30, 2016. [bibtex]
[PROC] Bag-of-Temporal-SIFT-Words for Time Series Classification (Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel), Proceedings of the 1st ECML/PKDD International Workshop on Advanced Analytics and Learning on Temporal Data, 2015. [bibtex] [pdf]
[PROC] A Subpath Kernel for Learning Hierarchical Image Representations (Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre), Workshop on Graph-based Representations in Pattern Recognition (GbR2015), LNCS 9069, pages 34-43, Springer, 2015. [bibtex] [doi]
[PROC] Anomaly detection with score functions based on the reconstruction error of the kernel PCA (Laetitia Chapel, Chloé Friguet), European Conference on Machine Learning (ECML PKDD), Part I, LNCS 8724, pages 227-241, Springer, 2014. [bibtex] [doi]
[JOURNAL] PerTurbo manifold learning algorithm for weakly labelled hyperspectral image classification (Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre), JSTARS, special issue on machine learning, vol. 7, no. 4, pages 1070-1078, 2014. [bibtex] [doi]
[PROC] Hyperspectral Image Classification from Multiscale Description with Constrained Connectivity and Metric Learning (Sébastien Lefèvre, Laetitia Chapel, François Merciol), IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014.
[PROC] Hyperspectral image representation through α-trees (François Merciol, Laetitia Chapel, Sébastien Lefèvre), Ninth Conference on Image Information Mining, pages 37-40, 2014. [bibtex] [doi]
[CHAPTER] SVM approximation of value function contours in target hitting problems (Laetitia Chapel, Guillaume Deffuant), Lecture Notes in Electrical Engineering, vol. 174, pages 37-48, Springer, 2013. [bibtex] [doi]
[PROC] Représentation d'images hyperspectrales sous forme d'arbres α (François Merciol, Laetitia Chapel, Sébastien Lefèvre), Colloque Gretsi-Traitement du signal et des images, 2013. [bibtex]
[PROC] Classwise hyperspectral image classification with PerTurbo method (Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre), IEEE International conference on Geoscience and Remote Sensing Symposium (IGARSS), pages 6883-6886, Springer, 2012. [bibtex] [doi]
[PROC] Inner and outer capture basin approximation with Support Vector Machines (Laetitia Chapel, Guillaume Deffuant), International Conference on Informatics in Control, Automation and Robotics (Icinco), pages 30-40, SciTePress, 2011. [bibtex] [doi]
[PROC] A semantic monitoring and management framework for end-to-end services (John Keeney, Owen Conlan, Vilem Holub, Miao Wang, Laetitia Chapel, Martin Serrano, Sven Van der Meer), IFIP/IEEE International Symposium on Integrated Network Management (IM), pages 658-661, 2011. [bibtex] [doi]
[CHAPTER] Approximating Viability Kernels and Resilience Values: Algorithms and Practical Issues Illustrated with KAVIAR Software (Laetitia Chapel, Guillaume Deffuant), Viability and Resilience of Complex Systems, Deffuant, Guillaume and Gilbert, Nigel eds., pages 161-192, Springer, 2011. [bibtex] [doi]
[CHAPTER] Viability and Resilience in the Dynamics of Language Competition (Xavier Castelló, Federico Vazquez, Víctor M. Eguíluz, Lucía Loureiro-Porto, Maxi San Miguel, Laetitia Chapel, Guillaume Deffuant), Viability and Resilience of Complex Systems, Deffuant, Guillaume and Gilbert, Nigel eds., pages 39-73, Springer, 2011. [bibtex] [doi]
[JOURNAL] Viability and resilience of languages in competition (Laetitia Chapel, Xavier Castelló, Claire Bernard, Guillaume Deffuant, Víctor M. Eguíluz, Sophie Martin, Maxi San Miguel), Plos One, vol. 5, no. 1, pages e8681, 2010. [bibtex] [doi]
[PROC] Sparse input matrix and state estimation for linear systems (Laetitia Chapel, Douglas J. Leith), IEEE International Conference on Decision and Control (CDC), pages 4441-4446, 2010. [bibtex] [doi]
[PROC] Probabilistic approaches to cheating detection in online games (Laetitia Chapel, Dmitri Botvich, David Malone), IEEE Symposium on Computational Intelligence and Games (CIG), pages 195-201, 2010. [bibtex] [doi]
[JOURNAL] Defining yield policies in a viability approach (Laetitia Chapel, Guillaume Deffuant, Sophie Martin, Christian Mullon), Ecological Modelling, vol. 212, no. 1-2, pages 10-15, 2008. [bibtex] [doi]
[JOURNAL] Stream flow scaling properties: investigating characteristic scales from different statistical approaches (Eric Sauquet, Maria-Helena Ramos, Laetitia Chapel, Pietro Bernardara), Hydrological Processes, vol. 22, no. 17, pages 3462-3475, 2008. [bibtex] [doi]
[JOURNAL] Approximating Viability Kernels With Support Vector Machines (Guillaume Deffuant, Laetitia Chapel, Sophie Martin), IEEE Transactions on Automatic Control, vol. 52, no. 5, pages 933-937, 2007. [bibtex] [doi]
[THESIS] Maintenir la viabilité ou la résilience d'un système : les machines à vecteurs de support pour rompre la malédiction de la dimensionnalité ? (Laetitia Chapel), Ph.D. thesis, Université Blaise Pascal, Clermont-Ferrand, 2007. [bibtex]
[PROC] SVM viability controller active learning: Application to bike control (Laetitia Chapel, Guillaume Deffuant), IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), pages 193-200, 2007. [bibtex] [doi]
[PROC] Lake eutrophication: using resilience evaluation to compute sustainable policies (Laetitia Chapel, Guillaume Deffuant), International Conference on Environmental Science and Technology (CEST), pages A204-211, 2007. [bibtex]
[PROC] SVM viability controller active learning (Laetitia Chapel, Guillaume Deffuant), Kernel machines and reinforcement learning workshop, part of ICML 2006, 2006. [bibtex]
[PROC] Utiliser des Support Vector Machines pour apprendre un noyau de viabilité (Guillaume Deffuant, Sophie Martin, Laetitia Chapel), Manifestation des Jeunes Chercheurs francophones dans les domaines des STIC (MajecSTIC), (best paper award) 2005. [bibtex]

Contact

Addresses

Laboratoire IRISA
Campus de Tohannic
56000 Vannes, France
Office C113
Phone : (+33)2 97 01 72 51
Fax : (+33)2 97 01 72 79

OR

IUT de Vannes - Dpt. STID
8, rue Montaigne
56000 Vannes, France
Office B105
Phone : (+33)2 97 62 64 68

In order to reach me

firstname dot lastname AT univ-ubs.fr

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Université de Bretagne Sud / IRISA / Obelix team - Last update: 09/03/2017