CQFD - 2018
Overall Objectives
Application Domains
New Software and Platforms
Bilateral Contracts and Grants with Industry
Overall Objectives
Application Domains
New Software and Platforms
Bilateral Contracts and Grants with Industry


Publications of the year

Articles in International Peer-Reviewed Journals

  • 1J. Anselmi, F. Dufour, T. Prieto-Rumeau.

    Computable approximations for average Markov decision processes in continuous time, in: Journal of Applied Probability, June 2018, vol. 55, no 02, pp. 571-592. [ DOI : 10.1017/jpr.2018.36 ]

  • 2R. Azaïs, A. Genadot.

    A new characterization of the jump rate for piecewise-deterministic Markov processes with discrete transitions, in: Communication in Statistics - Theory and Methods, 2018, vol. 47, no 8, pp. 1812-1829, https://arxiv.org/abs/1606.06130. [ DOI : 10.1080/03610926.2017.1327072 ]

  • 3R. Azaïs, A. Genadot.

    Estimation of the average number of continuous crossings for non-stationary non-diffusion processes, in: Journal of Statistical Planning and Inference, 2018, https://arxiv.org/abs/1703.10192.

  • 4M. Chavent, V. Kuentz-Simonet, A. Labenne, J. Saracco.

    ClustGeo: an R package for hierarchical clustering with spatial constraints, in: Computational Statistics, 2018, pp. 1-24, https://arxiv.org/abs/1707.03897. [ DOI : 10.1007/s00180-018-0791-1 ]

  • 5O. L. d. V. Costa, F. Dufour.

    Zero-Sum Discounted Reward Criterion Games for Piecewise Deterministic Markov Processes, in: Applied Mathematics and Optimization, 2018. [ DOI : 10.1007/s00245-017-9416-2 ]

  • 6B. De Saporta, A. Cleynen.

    Change-point detection for Piecewise Deterministic Markov Processes, in: Automatica, 2018, vol. 97, pp. 234-247, https://arxiv.org/abs/1709.09467. [ DOI : 10.1016/j.automatica.2018.08.011 ]

  • 7P. Del Moral, A. Jasra.

    A sharp first order analysis of Feynman–Kac particle models, Part I: Propagation of chaos, in: Stochastic Processes and their Applications, January 2018, vol. 128, no 1, pp. 332 - 353. [ DOI : 10.1016/j.spa.2017.04.007 ]

  • 8P. Del Moral, A. Jasra.

    A sharp first order analysis of Feynman–Kac particle models, Part II: Particle Gibbs samplers, in: Stochastic Processes and their Applications, January 2018, vol. 128, no 1, pp. 354 - 371. [ DOI : 10.1016/j.spa.2017.05.001 ]

  • 9P. Del Moral, D. Villemonais.

    Exponential mixing properties for time inhomogeneous diffusion processes with killing, in: Bernoulli, January 2018, vol. 24, no 2, pp. 1010-1032, https://arxiv.org/abs/1412.2627.

  • 10B. Delyon, B. De Saporta, N. Krell, L. Robert.

    Investigation of asymmetry in E. coli growth rate, in: CSBIGS (Case Studies in Business, Industry and Government Statistics, 2018, vol. 7, no 1, pp. 1-13, https://arxiv.org/abs/1509.05226.

  • 11F. Dufour, A. Genadot.

    On the Expected Total Reward with Unbounded Returns for Markov Decision Processes, in: Applied Mathematics and Optimization, 2018.

  • 12F. Dufour, T. Prieto-Rumeau.

    Approximation of Discounted Minimax Markov Control Problems and Zero-Sum Markov Games Using Hausdorff and Wasserstein Distances, in: Dynamic Games and Applications, 2018.

  • 13J. E. Hernandez-Beltran, V. H. Díaz-Ramírez, L. Trujillo, P. Legrand.

    Design of estimators for restoration of images degraded by haze using genetic programming (to appear), in: Swarm and Evolutionary Computation, 2018.

  • 14L. Labache, M. Joliot, J. Saracco, G. Jobard, I. Hesling, L. Zago, E. Mellet, L. Petit, F. Crivello, B. Mazoyer, N. Mazoyer.

    A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right-handers, in: Brain Structure and Function, December 2018. [ DOI : 10.1007/s00429-018-1810-2 ]

  • 15V. R. López-López, L. Trujillo, P. Legrand.

    Applying Genetic Improvement to a Genetic Programming library in C++, in: Soft Computing, 2018.

  • 16C. Pasin, F. Dufour, L. Villain, H. Zhang, R. Thiebaut.

    Controlling IL-7 injections in HIV-infected patients, in: Bulletin of Mathematical Biology, August 2018.

  • 17J. Saracco, M. Chavent, L. Garcia-Audin, V. Lespinet-Najib, R. Ron-Langevin.

    Clustering of variables and multivariate analysis of mixed data from BCI study, in: Ingénierie cogntique, December 2018.

  • 18L. Trujillo, U. Lopez, P. Legrand.

    SOAP: Semantic Outliers Automatic Preprocessing (under review second round), in: IEEE Transactions on Evolutionary Computation, 2018.

  • 19E. Z-Flores, L. Trujillo, P. Legrand, F. Faïta-Aïnseba.

    EEG Feature Extraction using Genetic Programming for the Classification of Mental States (under review second round), in: Swarm and Evolutionary Computation, 2018.

  • 20H. Zhang, F. Dufour, B. De Saporta, D. Laneuville, A. Nègre.

    Stochastic control of observer trajectories in passive tracking with acoustic signal propagation optimisation, in: IET Radar Sonar and Navigation, January 2018, vol. 12, no 1, pp. 112-120.


Invited Conferences

  • 21B. De Saporta, F. Dufour, H. Zhang.

    Numerical method for impulse control of Piecewise Deterministic Markov Processes - application to maintenance optimization, in: XIV Colloque Franco-Roumain de Mathématiques Appliquées, Bordeaux, France, August 2018.


International Conferences with Proceedings

  • 22U. Lopez, L. Trujillo, P. Legrand.

    Filtering Outliers in One Step with Genetic Programming, in: PPSN 2018 - Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV), Coimbra, Portugal, A. Auge, C. M. Fonseca, N. Lourenço, P. Machado, L. Paquete, D. Whitley (editors), Parallel Problem Solving from Nature – PPSN XV, Springer, September 2018, vol. LNCS - Lecture Notes in Computer Science, no 11102. [ DOI : 10.1007/978-3-319-99253-2_17 ]

  • 23S. Machhour, E. Grivel, P. Legrand, V. Corretja, C. Magnant.

    A Comparative Study of Orthogonal Moments for Micro-Doppler Classification, in: EUSIPCO 2018 - 26th European Signal Processing Conference, Rome, Italy, September 2018.

  • 24H. Zhang, F. Dufour, J. Anselmi, D. Laneuville, A. Nègre.

    Piecewise Optimal Trajectories of Observer for Bearings-Only Tracking of Maneuvering Target, in: Proceedings of IEEE Aerospace Conference, Bigsky, United States, March 2018.


Conferences without Proceedings

  • 25H. Lorenzo, J. Saracco, R. Thiebaut.

    Une PLS multivoie parcimonieuse avec observations manquantes pour données hétérogènes, in: Journées de Statistique 2018 - Société Française de Statistique, EDF Lab Paris Saclay, France, May 2018.

  • 26H. Lorenzo, R. Thiebaut, J. Saracco.

    Multi-block high-dimensional lasso-penalized analysis with imputation of missing data applied to postgenomic data in an Ebola vaccine trial, in: Annual workshop on Statistical Methods for Post Genomic Data - SMPGD 2018, Montpellier, France, January 2018.

  • 27C. Pasin, L. Villain, F. Dufour, D. Commenges, M. Prague, R. Thiebaut.

    Use of mathematical modeling for optimizing and adapting immunotherapy protocols in HIV-infected patients, in: Population Approach Group Europe, Montreux, Switzerland, May 2018.

  • 28J. Saracco, M. Chavent, M. P. Ellies-Oury, B. B. Picard, G. Cantalapiedra Hijar, D. Gruffat, C. Denoyelle, J. J. Normand.

    Etude des interactions et du compromis entre les performances de 30 génisses Blonde d’Aquitaine et les qualités nutritionnelle et sensorielle de la viande, in: 3R - Rencontres autour des Recherches sur les Ruminants, Paris, France, December 2018.

  • 29J. Saracco, M. Chavent, M. P. Ellies-Oury.

    Sélection de biomarqueurs pour prédire la tendreté de la viande de boeuf basée sur l'importance des variables, in: Journées de Statistique 2018 - Société Française de Statistique, EDF Lab Paris Saclay, France, May 2018.


Scientific Books (or Scientific Book chapters)

  • 30R. Azaïs, A. Genadot.

    Level Crossings and Absorption of an Insurance Model, in: Statistical Inference for Piecewise-deterministic Markov Processes, R. Azaïs, F. Bougue (editors), Wiley, August 2018, pp. 65-105. [ DOI : 10.1002/9781119507338.ch3 ]

  • 31B. De Saporta, F. Dufour.

    Numerical Method for Control of Piecewise-Deterministic Markov Processes, in: Statistical Inference for Piecewise-deterministic Markov Processes, R. Azaïs, F. Bougue (editors), Wiley, 2018.


Books or Proceedings Editing

  • 32E. Lutton, P. Legrand, P. Parrend, N. Monmarché, M. Schoenauer (editors)

    Artificial Evolution, 13th International Conference, Evolution Artificielle, EA 2017, Paris, France, October 25-27, 2017,Revised Selected Papers, Artificial Evolution, Springer, March 2018, vol. LNCS - Lecture Notes in Computer Science, no 10764. [ DOI : 10.1007/978-3-319-78133-4 ]


Other Publications

References in notes
  • 38N. Duan, K.-C. Li.

    Slicing regression: a link-free regression method, in: Ann. Statist., 1991, vol. 19, no 2, pp. 505–530.

  • 39R. Duda, P. Hart, D. Stork.

    Pattern Classification, John Wiley, 2001.
  • 40K.-C. Li.

    Sliced inverse regression for dimension reduction, in: J. Amer. Statist. Assoc., 1991, vol. 86, no 414, pp. 316–342, With discussion and a rejoinder by the author.