Pierrick Legrand
Publications
Publications
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Spatialisation d’un concert de musiques actuelles amplifiées : étude de cas avec le groupe PraetorianJournées d'Informatique Musicale, GRAME; Inria, Jun 2025, Lyon, France |
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Empirical Results for Adjusting Truncated Backpropagation Through Time while Training Neural Audio EffectsDAFx 2025 - 28th International Conference on Digital Audio Effects, Sep 2025, Ancona, Italy |
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Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization ForecastICML'24: Proceedings of the 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria. pp.13570--13591, ⟨10.5555/3692070⟩ |
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Optimizing Reservoir Computing with Genetic Algorithm for High-Dimensional SARS-CoV-2 Hospitalization Forecasting: Impacts of Genetic Algorithm Hyperparameters on Feature Selection and Reservoir Computing Hyperparameter TuningEA 2024 - 16th International Conference Artificial Evolution, Pierrick Legrand, Oct 2024, Bordeaux, France |
Null or linear-phase filters for the derivation of a new variant of the MSEEusipco 2023, Sep 2023, Helsinki (Finland), Finland |
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Neural Network-based Virtual Analog ModellingArtificial Evolution 2022, Oct 2022, Exeter, United Kingdom |
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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. pp.5140-5144, ⟨10.1109/ICASSP39728.2021.9414216⟩ |
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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 |
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Unlabeled Multi-Target Regression with Genetic ProgrammingGECCO 2020 - The Genetic and Evolutionary Computation Conference, Jul 2020, Cancun, Mexico |
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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⟩ |
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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 |
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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 |
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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 |
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Self-affinity of an Aircraft Pilot's Gaze Direction as a Marker of Visual TunnelingSAE Aerotech, Sep 2019, Bordeaux, France |
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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⟩ |
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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⟩ |
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A Comparative Study of Orthogonal Moments for Micro-Doppler ClassificationEUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy |
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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⟩ |
Restoration of degraded images using genetic programmingOptics and photonics for information processing X, Aug 2016, San Diego, United States |
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Diseñando Problemas Sintéticos de Clasificación con Superficie de Aptitud DeceptivaMAEB 2015, 2015, Merida, España |
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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⟩ |
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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⟩ |
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Effects of local search in genetic programmingEVOLVE 2014, Jul 2014, Beijing, China |
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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 |
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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 |
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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⟩ |
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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 |
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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 |
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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 |
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A comparison of predictive measures of problem difficulty for classification with Genetic ProgrammingERA 2012, Nov 2012, Tijuana, Mexico |
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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 |
Sélection de variables par algorithme génétique pour l'étude d'états de vigilanceJournée Évolutionnaire Thématique, 23éme édition, Nov 2012, Paris, France |
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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 |
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Classification of EEG signals by an evolutionary algorithmCOMPSTAT 2012 - 20th International Conference on Computational Statistics, Aug 2012, Limassol, Cyprus |
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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 |
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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 |
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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⟩ |
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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⟩ |
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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 |
Modeling and simulated a fungal disease epidemic over a heterogeneous plotCMPD 3, May 2010, Bordeaux, France |
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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 |
Sensorless monitoring of CFRP drillingProceedings of the 17th International Conference on Manufacturing Systems ICMAS, 2008, France. pp.ISSN 1842-3183 |
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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 |
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Evolution interactive pour le réglage d'implants cochléaires.Congrès suisse des audioprothésistes, 2008, Berne, Suisse |
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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 |
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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⟩ |
Preliminary results on automatic cochlear implant fitting using an interactive evolutionary algorithm9th International Conference on Cochlear implants and related Sciences, 2006, Vienne, Austria |
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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⟩ |
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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 |
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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 |
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Local regularity-based image denoisingICIP03, IEEE International Conference on Image Processing, Sep 2003, Barcelona, Spain. pp.377-380 |
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Bayesian multifractal signal denoisingICASSP03, IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2003, Hong-Kong, China |
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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 |
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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 |
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Real-time emulation of non-linear, time-dependent and parametrable audio effects by deep learningJJCAAS 2024 - Journées Jeunes Chercheur·se·s en Audition, Acoustique musicale et Signal audio, Mar 2024, Marseille, France |
Artificial Evolution, 15th International Conference, Evolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected PapersSpringer Nature Switzerland, 14091, 2023, Lecture Notes in Computer Science, ISBN 978-3-031-42615-5. ⟨10.1007/978-3-031-42616-2⟩ |
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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⟩ |
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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⟩ |
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⟩ |
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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 |
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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 |
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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 |
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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⟩ |
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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Evolution Artificielle 2009Pierre Collet, Nicolas Monmarché, Pierrick Legrand, Marc Schoenauer, Evelyne Lutton. Springer, LNCS 5975, pp.163, 2010, 978-3-642-14155-3 |
La modélisation de l'indemnisation du préjudice corporelDalloz. Le Big Data et le droit, F. G'Sell (dir.), Paris, Dalloz, coll. "Thèmes & Commentaires", 2020, 296 p., , pp. 45-60, 2020, 978-2247187447 |
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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 |
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Local Search is Underused in Genetic ProgrammingAnn Arbor. Genetic Programming Theory and Practice XIV, Springer, 2017 |
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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⟩ |
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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 |
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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 |
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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 |
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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 |
L'IA se met au rockScience & Vie - Le numéro 1291 du 26 mars 2025, 2025 |
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Time-Varying Audio Effect Modeling by End-to-End Adversarial Training2025 |
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Epidemic Forecasting: Lessons Learned from the SARS-CoV-2 Pandemic to Balance Accuracy, Feasibility, and Impact2025 |
EEG Feature Extraction using Genetic Programming for the Classification of Mental States (under review GPEM)2018 |
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Evolving Genetic Programming Classifiers with Novelty Search2014 |
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EEG classification for the detection of mental states2014 |
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Biips: Software for Bayesian Inference with Interacting Particle Systems2014 |
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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 : ⟩ |
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Artificial evolution, fractal analysis and applicationsArtificial Intelligence [cs.AI]. Université de Bordeaux, 2019 |