Pierrick Legrand
96
Documents
Publications
Neural Network-based Virtual Analog ModellingArtificial Evolution 2022, Oct 2022, Exeter, United Kingdom
Conference papers
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New variants of DFA based on loess and lowess methods: generalization of the detrending moving averageICASSP 2021 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Totonto, Canada
Conference papers
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Sea Target Classification Based On An A Priori Motion ModelEUSIPCO 2020 - 28th European Signal Processing Conference, Aug 2020, Amsterdam / Virtual, Netherlands. ⟨10.23919/Eusipco47968.2020.9287480⟩
Conference papers
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Regularized Dfa To Study The Gaze Position Of An Airline PilotEUSIPCO 2020 - 28th European Signal Processing Conference, Aug 2020, Amsterdam / Virtual, Netherlands
Conference papers
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Unlabeled Multi-Target Regression with Genetic ProgrammingGECCO 2020 - The Genetic and Evolutionary Computation Conference, Jul 2020, Cancun, Mexico
Conference papers
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2D Fourier Transform Based Analysis Comparing the DFA with the DMAEUSIPCO 2019 - 27th European Signal Processing Conference, Sep 2019, A Coruna, Spain
Conference papers
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Interpréter les Fonctions de Fluctuation du DFA et du DMA comme le Résultat d'un FiltrageGRETSI 2019, Aug 2019, Lille, France
Conference papers
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Self-affinity of an Aircraft Pilot's Gaze Direction as a Marker of Visual TunnelingSAE Aerotech, Sep 2019, Bordeaux, France
Conference papers
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Filtering-based Analysis Comparing the DFA with the CDFA for Wide Sense Stationary ProcessesEUSIPCO 2019 - 27th European Signal Processing Conference, Sep 2019, A Coruna, Spain
Conference papers
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Novelty search for software improvement of a SLAM systemthe Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan. pp.1598-1605, ⟨10.1145/3205651.3208237⟩
Conference papers
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A Comparative Study of Orthogonal Moments for Micro-Doppler ClassificationEUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy
Conference papers
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Filtering Outliers in One Step with Genetic ProgrammingPPSN 2018 - Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV), Sep 2018, Coimbra, Portugal. ⟨10.1007/978-3-319-99253-2_17⟩
Conference papers
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Restoration of degraded images using genetic programmingOptics and photonics for information processing X, Aug 2016, San Diego, United States
Conference papers
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Genetic Programming: From design to improved implementationGECCO 2016 - Genetic and Evolutionary Computation Conference, Jun 2016, Denver, United States. ⟨10.1145/2908961.2931693⟩
Conference papers
hal-01389066v1
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Geometric Semantic Genetic Programming with Local SearchProceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15, 2015, Madrid, Spain. ⟨10.1145/2739480.2754795⟩
Conference papers
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Diseñando Problemas Sintéticos de Clasificación con Superficie de Aptitud DeceptivaMAEB 2015, 2015, Merida, España
Conference papers
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A Local Search Approach to Genetic Programming for Binary ClassificationProceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15, 2015, Madrid, Spain. ⟨10.1145/2739480.2754797⟩
Conference papers
hal-01207504v1
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A comparison of fitness-case sampling methods for symbolic regression with genetic programmingEVOLVE 2014, Jul 2014, Beijing, China. pp.201-212, ⟨10.1007/978-3-319-07494-8_14⟩
Conference papers
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Effects of local search in genetic programmingEVOLVE 2014, Jul 2014, Beijing, China
Conference papers
hal-01060315v1
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Biips software: inference in Bayesian graphical models with sequential Monte Carlo methods21st International Conference on Computational Statistics (COMPSTAT 2014), European Regional Section of the IASC, Aug 2014, Genève, Switzerland
Conference papers
hal-01108399v1
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Evaluation of Local Feature Extraction Methods Generated through Genetic Programming on Visual SLAMProceedings of the 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2014), 2014, Ixtapa, Mexico
Conference papers
hal-01207508v1
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Recent Developments in Software for MCMC - Round Table SessionFifth IMS-ISBA joint meeting MCMSki IV, IMS (Institute of Mathematical Statistics) and ISBA (International Society for Bayesian Analysis), Jan 2014, Chamonix Mont-Blanc, France
Conference papers
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Detecting mental states of alertness with genetic algorithm variable selectionIEEE Congress on Evolutionary Computation (CEC) 2013, Jun 2013, Cancun, Mexico. pp.1247 - 1254
Conference papers
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A Comparative Study of an Evolvability Indicator and a Predictor of Expected Performance for Genetic ProgrammingGECCO, Jul 2012, Philadelphie, United States
Conference papers
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Classification of EEG signals by an evolutionary algorithmCOMPSTAT 2012 - 20th International Conference on Computational Statistics, Aug 2012, Limassol, Cyprus
Conference papers
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Considering the measurement noise for a nonlinear system identification with evolutionary algorithms.EUSIPCO 2012 - 20th European Signal Processing Conference, Aug 2012, Bucharest, Romania. pp.2114-2118
Conference papers
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BiiPS : un logiciel pour l'inférence bayésienne dans les modèles graphiques utilisant des méthodes de Monte Carlo séquentielles1ères Rencontres R, Jul 2012, Bordeaux, France
Conference papers
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Sélection de variables par algorithme génétique pour l'étude d'états de vigilanceJournée Évolutionnaire Thématique, 23éme édition, Nov 2012, Paris, France
Conference papers
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A comparison of predictive measures of problem difficulty for classification with Genetic ProgrammingERA 2012, Nov 2012, Tijuana, Mexico
Conference papers
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An empirical study of functional complexity as an indicator of overfitting in Genetic ProgrammingEuroGP, Apr 2011, Turin, Italy. pp.262-273, ⟨10.1007/978-3-642-20407-4_23⟩
Conference papers
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Predicting Problem Difficulty for Genetic Programming Applied to Data ClassificationGecco 2011, Jul 2011, Dublin, Ireland. pp.1355-1362, ⟨10.1145/2001576.2001759⟩
Conference papers
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Caractérisation d'états psychophysiologiques par classification de signaux EEG. Intégration de ces résultats dans le projet PSI.Journée AFIM : électroencéphalographie et composition musicale, Jun 2011, Talence, France
Conference papers
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Relevance of the Hölderian regularity-based interpolation for range-Doppler ISAR image post-processing.RADAR 2011: 6th International Conference on Radar, Oct 2011, Chengdu, China
Conference papers
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Optimization of the Hölder Image Descriptor using a Genetic AlgorithmGECCO 2010. Best paper award in "Real world applications"., Jul 2010, Portland Oregon, United States. pp.1147-1154
Conference papers
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Modeling and simulated a fungal disease epidemic over a heterogeneous plotCMPD 3, May 2010, Bordeaux, France
Conference papers
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The estimation of Hölderian regularity using genetic programmingGenetic and Evolutionary Computation Conference (GECCO 2010). Best Paper Award in "Genetic Programming", Jul 2010, Portland Oregon, United States. pp.861-868
Conference papers
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Evolution interactive pour le réglage d'implants cochléaires.Congrès suisse des audioprothésistes, 2008, Berne, Suisse
Conference papers
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Sensorless monitoring of CFRP drillingProceedings of the 17th International Conference on Manufacturing Systems ICMAS, 2008, France. pp.ISSN 1842-3183
Conference papers
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Le réglage par algorithmes évolutionnaires des implants cochléaireCongrès international JAN09: 9e journée d'Analyse Numérique et d'Optimisation, Dec 2008, Mohammedia, Maroc
Conference papers
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Ondelettes discrètes pour une interpolation de signaux conservant la régularité Hölderienne. Application à la modélisation du frottement pneumatique-chaussé.Séminaire TISIC: Traitement de l'Information, Signal, Image, Connaissance n°9: Temps fréquence, temps échelle, 2007, Lyon, France
Conference papers
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Preliminary results on automatic cochlear implant fitting using an interactive evolutionary algorithm9th International Conference on Cochlear implants and related Sciences, 2006, Vienne, Austria
Conference papers
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Evolutionary denoising based on an estimation of Hölder exponents with oscillations.EvoIASP 2006 - 8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, Apr 2006, Budapest, Hungary. pp.520-524, ⟨10.1007/11732242_49⟩
Conference papers
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Hölderian regularity-based image interpolationICASSP 06, International Conference on Acoustics, Speech, and Signal Processing, 2006, Toulouse, France. pp.852-855, ⟨10.1109/ICASSP.2006.1660788⟩
Conference papers
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Signal and Image processing with FracLabFRACTAL04, Complexity and Fractals in Nature, 8th International Multidisciplinary Conference, Apr 2004, Vancouver, Canada. pp.321-322
Conference papers
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Fractal properties and characterization of road profilesFRACTAL04, Complexity and Fractals in Nature, 8th International Multidisciplinary Conference, Apr 2004, Vancouver, Canada. pp.189-198
Conference papers
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Local regularity-based image denoisingICIP03, IEEE International Conference on Image Processing, Sep 2003, Barcelona, Spain. pp.377-380
Conference papers
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Interpolation de signaux par conservation de la régularité HölderienneGRETSI03, 19 th GRETSI Symposium on Signal and Image Processing, Sep 2003, Paris, France
Conference papers
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Local regularity-based interpolationWAVELET X, Part of SPIE's Symposium on Optical Science and Technology, SPIE, Aug 2003, San Diego, United States
Conference papers
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Bayesian multifractal signal denoisingICASSP03, IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2003, Hong-Kong, China
Conference papers
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Artificial EvolutionSpringer, LNCS - Lecture Notes in Computer Science (12052), pp.219, 2020, Artificial Evolution, 978-3-030-45714-3. ⟨10.1007/978-3-030-45715-0⟩
Books
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Artificial Evolution, 13th International Conference, Evolution Artificielle, EA 2017, Paris, France, October 25-27, 2017, Revised Selected PapersSpringer, LNCS - Lecture Notes in Computer Science (10764), 2018, Artificial Evolution, 978-3-319-78132-7. ⟨10.1007/978-3-319-78133-4⟩
Books
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EVOLVE - A bridge between Probability , Set Oriented Numerics, and Evolutionary Computation III.Oliver Schütze, Carlos Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del-Moral, Pierrick Legrand. Springer, 500, pp.300, 2013
Books
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EVOLVE - A bridge between Probability , Set Oriented Numerics, and Evolutionary Computation.Emilia Tantar; Alexandru-Adrian Tantar; Pascal Bouvry; Pierre Del-Moral; Pierrick Legrand; Carlos Coello Coello; Oliver Schütze. Springer, 447, pp.412, 2013, 978-3-642-32726-1
Books
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EVOLVE - A bridge between Probability , Set Oriented Numerics, and Evolutionary Computation IV.Michael Emmerich, André Deutz, Oliver Shütze, Thomas Back, Emilia Tantar, Alexandru-Adrian Tantar, Pierre Del Moral, Pierrick Legrand, Pascal Bouvry, Carlos Coello Coello. Springer, 227, pp.300, 2013
Books
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EVOLVE - A bridge between Probability , Set Oriented Numerics, and Evolutionary Computation II.Oliver Schütze; Carlos Coello Coello; Alexandru-Adrian Tantar; Emilia Tantar; Pascal Bouvry; Pierre Del-Moral; Pierrick Legrand. Springer, 175, pp.508, 2013, ⟨10.1007/978-3-642-31519-0⟩
Books
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Artificial Evolution 2011 : 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected PapersSpringer, 7401, 229 p., 2012, Lecture Notes in Computer Science, ⟨10.1007/978-3-642-35533-2_15⟩
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Artificial Evolution - 10th International Conference, Evolution Artificielle, EA 201. Revised Selected PapersSpringer, 2012, Lecture Notes in Computer Science, 978-3-642-35532-5. ⟨10.1007/978-3-642-35533-2⟩
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Proceedings of Artificial EvolutionEA - Springer, 2011
Books
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Evolution Artificielle 2009Pierre Collet, Nicolas Monmarché, Pierrick Legrand, Marc Schoenauer, Evelyne Lutton. Springer, LNCS 5975, pp.163, 2010, 978-3-642-14155-3
Books
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Artificial Evolution, 9th international Conference, Evolution ArtificiellesLNCS - Springer, 2010
Books
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La modélisation de l'indemnisation du préjudice corporelFlorence G'sell. Le Big Data et le droit, Dalloz, pp.45-60, 2020, 978-2-247-18744-7
Book sections
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RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic ProgrammingGenetic Programming. EuroGP 2017. Lecture Notes in Computer Science, vol 10196. Springer, Cham, Springer, 2017
Book sections
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Local Search is Underused in Genetic ProgrammingAnn Arbor. Genetic Programming Theory and Practice XIV, Springer, 2017
Book sections
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Classification of EEG signals by evolutionary algorithmGuillet, F. and Pinaud, B. and Venturini, G. and Zighed, D.A. Advances in Knowledge Discovery and Management Volume 4, 527, Springer, pp.133-153, 2014, Studies in Computational Intelligence, ISBN 978-3-319-02998-6. ⟨10.1007/978-3-319-02999-3_8⟩
Book sections
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Feature extraction and classification of EEG signals. The use of a genetic algorithm for an application on alertness prediction.Eduardo Miranda; Julien Castet; Benjamin Knapp. Guide to Brain-Computer Music Interfacing, Springer, 2014
Book sections
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Local Regularity and Multifractal methods for image and signal analysisScaling, Fractals and Wavelets, Abry P., Goncalves P., Lévy-Vehel J., 512 p., chapitre 11, 2009
Book sections
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Using interactive evolutionary algorithms to help fit cochlear implantsPatrick Siarry. Optimization in Signal and Image Processing, Iste-Wiley, pp.329-384, 2009
Book sections
hal-00409853v1
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Aide au paramétrage d'implants cochléaires par algorithme évolutionnaire interactif.Optimisation en traitement du signal et de l'image, Traité IC2, Hermès-Lavoisier, Chapitre 13, 2006
Book sections
hal-00294843v1
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EEG Feature Extraction using Genetic Programming for the Classification of Mental States (under review GPEM)2018
Preprints, Working Papers, ...
hal-01909128v1
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Biips: Software for Bayesian Inference with Interacting Particle Systems2014
Preprints, Working Papers, ...
hal-01096065v1
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Evolving Genetic Programming Classifiers with Novelty Search2014
Preprints, Working Papers, ...
hal-01111234v1
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EEG classification for the detection of mental states2014
Preprints, Working Papers, ...
hal-01111238v1
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Débruitage et interpolation par analyse de la régularité Hölderienne. Application à la modélisation du frottement pneumatique-chaussée.Traitement du signal et de l'image [eess.SP]. Ecole Centrale de Nantes (ECN); Université de Nantes, 2004. Français. ⟨NNT : ⟩
Theses
tel-00643450v1
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Artificial evolution, fractal analysis and applicationsArtificial Intelligence [cs.AI]. Université de Bordeaux, 2019
Habilitation à diriger des recherches
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