Evelyne Lutton
Présentation
Publications
Publications
Estimating the Learning Capacity of Bacterial Metabolic NetworksAdvances in Intelligent Data Analysis XXIII. IDA 2025, May 2025, Konstanz, Germany, Germany. pp.28-40, ⟨10.1007/978-3-031-91398-3_3⟩ |
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Towards Evolutionary Control Laws for Viability ProblemsGECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon Portugal, France. pp.1464-1472, ⟨10.1145/3583131.3590415⟩ |
Ground-Truth Segmentation of the Spinal Cord from 3T MR Images Using Evolutionary ComputationApplications of Evolutionary Computation. EvoApplications 2022, Apr 2022, Madrid & Virtual, Spain. pp.549-563, ⟨10.1007/978-3-031-02462-7_35⟩ |
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Agent-based modelling of enzymatic digestion using experimental dataFRCCS 2022 - French Regional Conference on Complex Systems, CNRS; Laboratoire de Physique Théorique et Modélisation (CERGY), Jun 2022, Paris, France |
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Fine-Grained Cooperative Coevolution in a Single Population: Between Evolution and Swarm IntelligenceArtificial Evolution, Oct 2022, Exeter (England), United Kingdom. ⟨10.1007/978-3-031-42616-2_8⟩ |
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A Case Study of Using Analytic Provenance to Reconstruct User Trust in a Guided Visual Analytics System2021 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), Oct 2021, New Orleans, United States. pp.45-51, ⟨10.1109/TREX53765.2021.00013⟩ |
Recognising specific foods in MRI scans using CNN and visualisationComputer Graphics & Visual Computing 2020 (CGVC 2020), Sep 2020, London, United Kingdom |
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Towards the improvement of food flavour analysis: Modelling chemical and sensory data and expert knowledge integration12. Wartburg symposium on flavour chemistry and biology, May 2019, Eisenach, Germany. 17 p |
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Modélisation interactive en agro-alimentaire: l’outilLiDeoGraMJournée Visu 2019, May 2019, Paris, France. pp.3 |
Le développement de l’intelligence professionnelle en recherche : des situations de travail des doctorants et encadrants à un dispositif de formation pour favoriser la réussite de leurs apprentissages croisés5. Colloque International de didactique Professionnelle, Oct 2019, Montréal, Canada |
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An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of ExpertsCHI Conference on Human Factors in Computing Systems (CHI), May 2019, Glasgow, United Kingdom. ⟨10.1145/3290605.3300874⟩ |
Evolutionary interactive analysis of MRI gastric images using a multiobjective cooperative-coevolution SshemeComputer Graphics and Visual Computing (CGVC), 2018, Swansea, United Kingdom. ⟨10.2312/cgvc.20181216⟩ |
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MRI Gastric images processing using a multiobjective fly algorithmInternational Conference on Parallel Problem Solving from Nature, PPSN 2018, Sep 2018, Coimbra, Portugal |
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Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science10. International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018. Eurosis, 2018., Apr 2018, Ghent, Belgium. pp.8 |
Human in the loop for modelling food and biological systems: a perspective based on Artificial IntelligenceFOODSIM'2018, Apr 2018, Ghent, Belgium |
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LIDeOGraM: an interactive evolutionary modelling tool13. Biennial International Conference on Artificial Evolution (EA), 2018, CHAM, Switzerland. pp.13, ⟨10.1007/978-3-319-78133-4_14⟩ |
A semi-automatic modelling approach for the production and freeze drying of lactic acid bacteria10. International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018. Eurosis, 2018., Apr 2018, Ghent, Belgium |
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LIDeOGraM : an interactive evolutionary modelling toolBiennial International Conference on Artificial Evolution (EA-2017), 2017, Paris, France |
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Interactive knowledge integration in modelling for food sustainability : challenges and prospectsACM CHI Workshop on Designing Sustainable Food Systems, 2017, NA, France |
Developing reflexivity in the PhD student – supervisor(s) system: An innovative training programme in a French research institute3. International Conference on Developments in Doctoral Education & Training (ICDDET), Apr 2017, Stratford-upon-Avon, United Kingdom |
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Interactive evolutionary modelling of living complex food systemsGenetic and Evolutionary Computation Conference GECCO' 17, Jul 2017, Berlin, Germany. ⟨10.1145/3067695.3075992⟩ |
Research prospects in the design and evaluation of interactive evolutionary systems for art and scienceCHI workshop on Human Centred Machine Learning, 2016, San Jose, United States |
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Food science : human factor IisuesFoodSIM'2016, Apr 2016, Ghent, Belgium |
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Complex Systems in Food Science: Human Factor IssuesFoodSIM 2016, 9th bi-annual International Conference on Modelling and Simulation in Food Engineering, Apr 2016, Ghent, Belgium |
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Digestion of milk protein gels in simulated gastric environment: exploration of the disintegration process and diffusion behavior of pepsin2nd Food Structure and Functionality Forum Symposium - from Molecules to Functionality, Feb 2016, Singex, Singapore |
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How to mislead an evolutionary algorithm using global sensitivity analysis12. International Conference, Evolution Artificielle, Oct 2015, Lyon, France. ⟨10.1007/978-3-319-31471-6_4⟩ |
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A Mixed Approach for the Evaluation of a Guided Exploratory Visualization SystemEuroVis Workshop on Reproducibility, Verification and Validation in Visualization (EuroRV³)., May 2015, Cagliari, Italy |
Is global sensitivity analysis useful to evolutionary computation?17. Genetic and Evolutionary Computation Conference (GECCO), Jul 2015, Madrid, Spain. ⟨10.1145/2739482.2764675⟩ |
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Balancing user interaction and control in BNSL11. Biennial International Conference on Artificial Evolution (EA), Oct 2013, Bordeaux, France. 271 p., ⟨10.1007/978-3-319-11683-9_17⟩ |
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GridVis: Visualisation of Island-Based Parallel Genetic AlgorithmsParallel Architectures and Distributed Infrastructures (EvoStar), Apr 2014, Granada, Spain |
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Learning dynamical systems using standard symbolic regression17. European Conference EuroGP 2014, Apr 2014, Grenade, Spain. ⟨10.1007/978-3-662-44303-3_3⟩ |
Coupling deterministic and random sequential approaches for structure and texture prediction of a dairy oil-in-water emulsion (présentation orale)From Model Foods to Food Models - The DREAM Project International Conference, 2014, University of Ljubijana, Slovenia. pp.84 |
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Coupling deterministic and random sequential approaches for structure and texture prediction of a dairy oil-in-water emulsionThe DREAM Project International Conference From Model Foods to Food Models, Institut National de Recherche Agronomique (INRA). UAR Département Caractérisation et Elaboration des Produits Issus de l'Agriculture (1008)., Jun 2013, Nantes, France. 108 p |
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A Memetic Approach to Bayesian Network Structure Learning16th European Conference on Applications of Evolutionary Computation, EvoApplications 2013, Apr 2013, Vienna, Austria. pp.102-111, ⟨10.1007/978-3-642-37192-9_11⟩ |
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Automatic tuning of respiratory model for patient-based simulationMIBISOC 2013 - International Conference on Medical Imaging using Bio-inspired and Soft Computing, May 2013, Brussels, Belgium. pp.225-231 |
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Cooperative coevolution for agrifood process modelingEVOLVE 2011 International Workshop, May 2011, Bourglinster, Luxembourg. pp.247-287, ⟨10.1007/978-3-642-32726-1_7⟩ |
Food model exploration through evolutionary optimisation coupled with visualisation: Application to the prediction of a milk gel structureThe DREAM Project`s Conference International "From Model Foods to Food Models", Institut National de Recherche Agronomique (INRA). UAR Département Caractérisation et Elaboration des Produits Issus de l'Agriculture (1008)., Jun 2013, Nantes, France. 108 p |
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Evolutionary Visual Exploration: Experimental Analysis of Algorithm BehaviourGECCO workshop on Genetic and Evolutionary Computation (VizGEC 2013), Jul 2013, Amsterdam, Netherlands. pp.1373-1380, ⟨10.1145/2464576.2482717⟩ |
Automatic generation of on-line test programs through a cooperation scheme13. IEEE Workshop on Microprocessor Test and Verification, Dec 2012, Austin, United States. ⟨10.1109/MTV.2012.17⟩ |
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EvoGraphDice: Interactive Evolution for Visual AnalyticsProceedings of the 2012 IEEE Congress on Evolutionary Computation, Xiaodong Li, Jun 2012, Brisbane, Australia. pp.2286-2293, ⟨10.1109/CEC.2012.6256553⟩ |
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Bayesian Network Structure Learning from Limited Datasets through Graph EvolutionEuroGP 2012 - 15th European Conference on Genetic Programming, Apr 2012, Malaga, Spain. pp.254-265, ⟨10.1007/978-3-642-29139-5_22⟩ |
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Interactive Random Graph Generation with Evolutionary AlgorithmsGraph Drawing 2012, Sep 2012, Berlin, Germany. pp.541-552, ⟨10.1007/978-3-642-36763-2_48⟩ |
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The complex system science for optimal strategy of management of a food system: the camembert cheese ripeningInternational Congres of Engineering and Food, May 2011, Athène, Greece. pp.325-331 |
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Lamps : A test problem for cooperative coevolutionNICSO 2011, the 5th International Workshop on Nature Inspired Cooperative Strategies for Optimization, Oct 2011, Cluj Napoca, Romania |
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Visual analysis of population scatterplots10th Biannual International Conference on Artificial Evolution (EA-2011), Oct 2011, Angers, France |
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Visual Analytics of EA DataGenetic and Evolutionary Computation Conference, GECCO 2011, Jul 2011, Dublin, Ireland |
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New genetic operators in the fly algorithm: application to medical PET image reconstructionEVOIASP, Evolutionary Computation in Image Analysis and Signal Processing, EvoApplications 2010, Apr 2010, Istambul, Turkey |
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Artificial evolution for PET and SPECT reconstructionAAPM Annual Meeting, 2010, Philadelphia, United States |
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Hand posture recognition using real-time artificial evolutionEVOIASP, Evolutionary Computation in Image Analysis and Signal Processing, EvoApplications 2010, Apr 2010, Istanbul, Turkey. pp.251-260 |
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Threshold selection, mitosis and dual mutation in cooperative co-evolution: application to medical 3d tomographyPPSN 2010, 11th International Conference on Parallel Problem Solving From Nature., Sep 2010, Krakow, Poland |
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Optimal viable path search for a cheese ripening process using a multi-objective EA.ICEC 2010, International Conference on Evolutionary Computation, Oct 2010, Valencia, Spain |
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Independence Model estimation using Artificial Evolution5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), May 2010, Nantes, France |
Modeling human expertise on a cheese ripening industrial process using GPParallel Problem Solving from Nature -- {PPSN} X, 2008, Dortmund, Germany. pp.859--868, ⟨10.1007/978-3-540-87700-4_85⟩ |
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Overcompressing JPEG imagesEvoIASP2007, Apr 2007, Valencia, Spain. pp.1 |
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Pointwise Regularity of Fitness Landscapes and the Performance of a Simple ESCEC, Jul 2006, Vancouver, Canada. pp.1 |
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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⟩ |
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The Fitness Map Scheme. Application to interactive multifractal image denoisingIEEE Congress on Evolutionary Computation is in Edinburgh, Sep 2005, United Kingdom. pp.1 |
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An Interactive EA for Multifractal Bayesian DenoisingEvoIASP 2005, Mar 2005, Lausanne, Suisse. pp.1 |
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Pareto Optimal Sensing Strategies for an Active Vision SystemCEC 2004, Jun 2004, Portland, United States |
Obstacle detection by Evolutionary Algorithm: the Fly AlgorithmICARA 2004, Dec 2004, Palmerston North, Nouvelle Zélande |
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Applying Evolutionary Optimisation to Robot Obstacle AvoidanceISCIIA 2004, Dec 2004, Haikou, Chine |
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Evolutionary signal enhancement based on Hölder regularity analysisThird European Workshop on Evolutionary Computation in Image Analysis and Signal Processing - EVOIASP 2001, Apr 2001, Como, Italy |
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Représentations non structurées en optimisation topologique de formes par algorithmes évolutionnairesCANUM 2000, Jun 2000, Port d'Albret, France, pp.153-179 |
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Take it EASEAPPSN VI, Sep 2000, Paris - France |
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Individual GP: an Alternative Viewpoint for the Resolution of Complex ProblemsGECCO, Genetic and Evolutionary Computation Conference,, Jul 1999, Orlando, Florida, USA |
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Manipulation of Non-Linear IFS attractors using Genetic ProgrammingCongress on Evolutionary Computation, Jul 1999, Washington DC, USA |
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Les défis de demainAgriculture et numérique : Tirer le meilleur du numérique pour contribuer à la transition vers des agricultures et des systèmes alimentaires durables, 6, INRIA, pp.120-143, 2022, Livre blanc INRIA |
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Foundations and state of playAgriculture and Digital Technology: Getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems, 6, INRIA, pp.30-75, 2022, White book Inrira, 978-2-7261-1310-3 |
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Fondements et état de l'artBellon-Maurel Véronique (ed.); Brossard Ludovic (ed.); Garcia Frédérick (ed.); Mitton Nathalie (ed.); Terrier Alexandre (ed.). Agriculture et numérique : un Livre Blanc d’Inria et INRAE pour construire les bases d’une agriculture numérique responsable, 6, INRIA; INRAE, pp.32-82, 2022, Livre blanc / INRIA |
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Challenges for the futureAgriculture and Digital Technology: Getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems, 6, pp.112-134, 2022, White book Inria, 978-2-7261-1310-3 |
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Machine learning for agri-food processes: learning from data, human knowledge and interactionsCurrent Developments in Biotechnology and Bioengineering, Elsevier, pp.261-286, 2022, ⟨10.1016/B978-0-323-91167-2.00006-X⟩ |
A Novel Outlook on Feature Selection as a Multi-objective ProblemArtificial Evolution, pp.68-81, 2020, ⟨10.1007/978-3-030-45715-0_6⟩ |
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Evaluation of interactive machine learning systemsHuman and Machine Learning Visible, Explainable, Trustworthy and Transparent, SPRINGER, pp.341-360, 2018, Human-Computer Interaction Series, 978-3-319-90403-0; 978-3-319-90402-3. ⟨10.1007/978-3-319-90403-0_17⟩ |
Interactive Machine Learning for Applications in Food Science and TechnologyHuman and Machine Learning, Springer, ISBN 978-3-319-90403-0, 2018, 978-3-319-90403-0; 978-3-319-90402-3 |
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Lamps : a test problem for cooperative coevolutionNature Inspired Cooperative Strategies for Optimization (NICSO 2011), 387, Springer Science + Business Media B.V., 2011, Studies in Computational Intelligence, 978-3-642-24093-5. ⟨10.1007/978-3-642-24094-2_7⟩ |
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Evolutionary multifractal signal/image denoisingEvolutionary Computer vision, EURASIP, pp.1-25, 2007, EURASIP Book Series |
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Machine learning for agri-food processes: 4 learning from data, human knowledge and interactions| Book chapter Part of ISBN: 9780323984836 Current developments in biotechnology and bioengineering 20222023 |
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In situ digestion of canola protein gel observed by synchrotron X-Ray Scattering2023 |