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Probabilistic approaches to cheating detection in online games

 Laetitia Chapel , Dmitri D. Botvich , David Malone
Computational Intelligence and Games (CIG), 2010 IEEE Symposium on, Aug 2010, Denmark. pp.195-201, ⟨10.1109/ITW.2010.5593353⟩
Communication dans un congrès hal-00616746v1

A statistical test for anomaly detection using the reconstruction error of the Kernel PCA

 Chloé Friguet , Laetitia Chapel
Computational and Methodological Statistics (CMstatistics), ERCIM work group, Dec 2015, Londres, United Kingdom
Communication dans un congrès hal-01256506v1
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Next Step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS & Sentinel Satellite Data Streams

 Ronan Fablet , Nicolas Bellec , Laetitia Chapel , Chloé Friguet , René Garello , et al.
BiDS' 2017 - Conference on Big Data from Space, Nov 2017, Toulouse, France. pp.1-4
Poster de conférence hal-01671323v1
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Combining Multiple Resolutions into Hierarchical Representations for kernel-based Image Classification

 Yanwei Cui , Sébastien Lefèvre , Laëtitia Chapel , Anne Puissant
international Conference on Geographic Object-Based Image Analysis (GEOBIA), 2016, Enschede, Netherlands
Communication dans un congrès hal-01320011v1
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A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification

 Manal Hamzaoui , Laetitia Chapel , Minh-Tan Pham , Sébastien Lefèvre
ICPRAI 2022 - 3rd International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France
Communication dans un congrès hal-03694878v1
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Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Classification

 Manal Hamzaoui , Laetitia Chapel , Minh-Tan Pham , Sébastien Lefèvre
ORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
Communication dans un congrès hal-03339649v1
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Viability and Resilience of Languages in Competition

 Laetitia Chapel , Xavier Castelló , Claire Bernard , Guillaume Deffuant , Víctor M. Eguíluz , et al.
PLoS ONE, 2010, 5 (1), pp.e8681. ⟨10.1371/journal.pone.0008681⟩
Article dans une revue hal-00499485v1

A Semantic Monitoring and Management Framework for End-to-end Services

 John Keeney , Owen Conlan , Viliam Holub , Miao Wang , Laetitia Chapel , et al.
12th IFIP/IEEE International Symposium on Integrated Management (IM 2011), 2011, Ireland. pp.668-671
Communication dans un congrès hal-00661788v1

SVM Viability Controller Active Learning: Application to Bike Control

 Laetitia Chapel , Guillaume Deffuant
Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on, Apr 2007, Honolulu, United States. pp.193-200
Communication dans un congrès hal-00616856v1
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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 Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, China. ⟨10.1109/IGARSS.2016.7729594⟩
Communication dans un congrès halshs-01343211v1
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Un test statistique pour la détection d'anomalies basé sur l'erreur de reconstruction de l'ACP à noyau

 Chloé Friguet , Laetitia Chapel
48ème journées de Statistique, SFdS, May 2016, Montpellier, France
Communication dans un congrès hal-01436045v1
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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, 2017, 9 (3), ⟨10.3390/rs9030196⟩
Article dans une revue hal-01672848v1

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties

 Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty
2019
Pré-publication, Document de travail hal-02174316v1
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Dense Bag-of-Temporal-SIFT-Words for Time Series Classification

 Adeline Bailly , Simon Malinowski , Romain Tavenard , Laetitia Chapel , Thomas Guyet
Advanced Analysis and Learning on Temporal Data, Springer, 2016, 978-3319444116. ⟨10.1007/978-3-319-44412-3_2⟩
Chapitre d'ouvrage hal-01252726v4

Optimal Transport for structured data with application on graphs

 Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-16
Communication dans un congrès hal-02174322v1
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Bag-of-Temporal-SIFT-Words for Time Series Classification

 Adeline Bailly , Simon Malinowski , Romain Tavenard , Thomas Guyet , Laetitia Chapel
ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2015, Porto, Portugal
Communication dans un congrès halshs-01184900v1

Inner and Outer Capture Basin Approximation with Support Vector Machines

 Laetitia Chapel , Guillaume Deffuant
8th International Conference on Informatics in Control, Automation and Robotics, Jul 2011, Noordwijkerhout, Netherlands. pp.34-40, ⟨10.5220/0003536000340040⟩
Communication dans un congrès hal-00624589v1

Streamflow scaling properties: investigating characteristic scales from different statistical approaches

 Eric Sauquet , Maria-Helena Ramos , Laetitia Chapel , Pietro Bernardara
Hydrological Processes, 2008, 22, pp.3462-3475
Article dans une revue hal-00616772v1
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Maintenir la viabilité ou la résilience d'un système : les machines à vecteurs de support pour rompre la malédiction de la dimensionnalité ?

 Laëtitia Chapel
Modélisation et simulation. Université Blaise Pascal - Clermont-Ferrand II, 2007. Français. ⟨NNT : ⟩
Thèse tel-00499465v1

Approximating Viability Kernels With Support Vector Machines

 Guillaume Deffuant , Laetitia Chapel , Sophie Martin
IEEE Transactions on Automatic Control, 2007, 52 (5), pp.933 - 937. ⟨10.1109/TAC.2007.895881⟩
Article dans une revue hal-00616841v1
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Next step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS \& Sentinel Satellite Data Streams

 Ronan Fablet , Nicolas Bellec , Laetitia Chapel , Chloe Friguet , René Garello , et al.
BiDS 2017 : Big Data from Space Conference, Nov 2017, Toulouse, France
Communication dans un congrès hal-01756071v1
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Utiliser des "support vector machines" pour apprendre un noyau de viabilité

 Guillaume Deffuant , Sophie Martin , Laëtitia Chapel
MajecSTIC 2005 : Manifestation des Jeunes Chercheurs francophones dans les domaines des STIC, IRISA – IETR – LTSI, Nov 2005, Rennes, France. pp.195-202
Communication dans un congrès inria-00000833v1
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A subpath kernel for learning hierarchical image representations

 Yanwei Cui , Laëtitia Chapel , Sébastien Lefèvre
IAPR International Workshop on Graph-based Representations in Pattern Recognition, 2015, Beijing, China. pp.34-43, ⟨10.1007/978-3-319-18224-7_4⟩
Communication dans un congrès hal-01168099v1
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Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach

 Yanwei Cui , Laëtitia Chapel , Sébastien Lefèvre
Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2016, Los Angeles, United States
Communication dans un congrès hal-01320012v1
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Utiliser des machines à vecteurs de support pour approcher les contours d'une fonction valeur dans des problèmes d'atteinte de cible

 Laetitia Chapel , Guillaume Deffuant
12ieme Journée Scientifique de l'Ecole Doctorale SPI : Apprentissage statistique - Apprentissage symbolique, May 2008, Aubière, France. pp.5
Communication dans un congrès hal-00499497v1
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Efficient Temporal Kernels between Feature Sets for Time Series Classification

 Romain Tavenard , Simon Malinowski , Laetitia Chapel , Adeline Bailly , Heider Sanchez , et al.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Sep 2017, Skopje, Macedonia
Communication dans un congrès halshs-01561461v1
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Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data

 Pierre Gloaguen , Laetitia Chapel , Chloé Friguet , Romain Tavenard
Machine Learning, 2021, Special Issue on Machine Learning for Earth Observation Data, 112 (6), pp.1975-2001. ⟨10.1007/s10994-021-06004-8⟩
Article dans une revue hal-02617575v3

Sparse input matrix and state estimation for linear systems

 Laetitia Chapel , Douglas J. Leith
Decision and Control (CDC), 2010 49th IEEE Conference on, Dec 2010, United States. pp.4441-4446, ⟨10.1109/CDC.2010.5718016⟩
Communication dans un congrès hal-00616734v1
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Représentation d'images hyperspectrales sous forme d'arbres alpha

 François Merciol , Laëtitia Chapel , Sébastien Lefèvre
Colloque Gretsi - Traitement du Signal et des Images, 2013, Brest, France. pp.ID 502
Communication dans un congrès hal-00905181v1
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Hyperspectral image classification from multiscale description with constrained connectivity and metric learning

 Sébastien Lefèvre , Laëtitia Chapel , François Merciol
6th International Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2014), Jun 2014, Lausanne, Switzerland
Communication dans un congrès hal-00998254v1
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