Modelling under risk and uncertainty: an introduction to statistical, phenomenological and computational methods E De Rocquigny John Wiley & Sons, 2012 | 78 | 2012 |
Density modification-based reliability sensitivity analysis P Lemaître, E Sergienko, A Arnaud, N Bousquet, F Gamboa, B Iooss Journal of Statistical Computation and Simulation 85 (6), 1200-1223, 2015 | 74 | 2015 |
Diagnostics of prior-data agreement in applied Bayesian analysis N Bousquet Journal of Applied Statistics 35 (9), 1011-1029, 2008 | 69 | 2008 |
SAND: streaming subsequence anomaly detection P Boniol, J Paparrizos, T Palpanas, MJ Franklin Proceedings of the VLDB Endowment 14 (10), 1717-1729, 2021 | 67 | 2021 |
Unsupervised and scalable subsequence anomaly detection in large data series P Boniol, M Linardi, F Roncallo, T Palpanas, M Meftah, E Remy The VLDB Journal 30 (6), 909-931, 2021 | 51 | 2021 |
Adaptive directional stratification for controlled estimation of the probability of a rare event MM Zuniga, J Garnier, E Remy, E de Rocquigny Reliability Engineering & System Safety 96 (12), 1691-1712, 2011 | 48 | 2011 |
Stochastic simulators based optimization by Gaussian process metamodels–application to maintenance investments planning issues T Browne, B Iooss, LL Gratiet, J Lonchampt, E Remy Quality and Reliability Engineering International 32 (6), 2067-2080, 2016 | 37 | 2016 |
An example of integrated approach to technical and economic optimization of maintenance E Remy, F Corset, S Despréaux, L Doyen, O Gaudoin Reliability engineering & system safety 116, 8-19, 2013 | 36 | 2013 |
Graphan: Graph-based subsequence anomaly detection P Boniol, T Palpanas, M Meftah, E Remy Proceedings of the VLDB Endowment 13 (12), 2941-2944, 2020 | 33 | 2020 |
Analyse de sensibilité en fiabilité des structures P Lemaître Université de Bordeaux, 2014 | 24 | 2014 |
Bayesian analysis of ARA imperfect repair models F Corset, L Doyen, O Gaudoin Communications in Statistics-Theory and Methods 41 (21), 3915-3941, 2012 | 23 | 2012 |
Exposure of children to extremely low frequency magnetic fields in France: Results of the EXPERS study I Magne, M Souques, I Bureau, A Duburcq, E Remy, J Lambrozo Journal of Exposure Science & Environmental Epidemiology 27 (5), 505-512, 2017 | 20 | 2017 |
Deep learning embeddings for data series similarity search Q Wang, T Palpanas Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 19 | 2021 |
Goodness-of-fit tests for the Weibull and extreme value distributions: A review and comparative study M Krit, O Gaudoin, E Remy Communications in Statistics-Simulation and Computation 50 (7), 1888-1911, 2021 | 19 | 2021 |
dcam: Dimension-wise class activation map for explaining multivariate data series classification P Boniol, M Meftah, E Remy, T Palpanas Proceedings of the 2022 International Conference on Management of Data, 1175 …, 2022 | 18 | 2022 |
Partially observed competing degradation processes: modeling and inference L Bordes, S Mercier, E Remy, E Dautrême Applied Stochastic Models in Business and Industry 32 (5), 677-696, 2016 | 13 | 2016 |
Modeling cavitation erosion using non-homogeneous gamma process Q Chatenet, E Remy, M Gagnon, M Fouladirad, AS Tahan Reliability Engineering & System Safety 213, 107671, 2021 | 12 | 2021 |
Goodness-of-fit tests in reliability: Weibull distribution and imperfect maintenance models M Krit Université de Grenoble, 2014 | 12 | 2014 |
Nonparametric estimation of the probability of detection of flaws in an industrial component, from destructive and nondestructive testing data, using approximate bayesian … M Keller, AL Popelin, N Bousquet, E Remy Risk Analysis 35 (9), 1595-1610, 2015 | 11 | 2015 |
Elicitation of Weibull priors N Bousquet arXiv preprint arXiv:1007.4740, 2010 | 11 | 2010 |