| Clinical and epidemiological characteristics of 1420 European patients with mild‐to‐moderate coronavirus disease 2019 JR Lechien, CM Chiesa‐Estomba, S Place, Y Van Laethem, P Cabaraux, ... Journal of internal medicine 288 (3), 335-344, 2020 | 994 | 2020 |
| Fuzzy inference system learning by reinforcement methods L Jouffe IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 1998 | 519 | 1998 |
| Complex system reliability modelling with dynamic object oriented Bayesian networks (DOOBN) P Weber, L Jouffe Reliability Engineering & System Safety 91 (2), 149-162, 2006 | 355 | 2006 |
| Fuzzy Q-learning PY Glorennec, L Jouffe Proceedings of 6th international fuzzy systems conference 2, 659-662, 1997 | 274 | 1997 |
| Prevalence and 6‐month recovery of olfactory dysfunction: a multicentre study of 1363 COVID‐19 patients JR Lechien, CM Chiesa‐Estomba, E Beckers, V Mustin, M Ducarme, ... Journal of internal medicine 290 (2), 451-461, 2021 | 231 | 2021 |
| Loss of smell and taste in 2013 European patients with mild to moderate COVID-19 JR Lechien, CM Chiesa-Estomba, S Hans, MR Barillari, L Jouffe, ... Annals of internal medicine 173 (8), 672-675, 2020 | 206 | 2020 |
| Reliability modelling with dynamic bayesian networks P Weber, L Jouffe IFAC proceedings volumes 36 (5), 57-62, 2003 | 170 | 2003 |
| Bayesian networks and BayesiaLab: a practical introduction for researchers S Conrady, L Jouffe Bayesia USA, 2015 | 163 | 2015 |
| Features of mild-to-moderate COVID-19 patients with dysphonia JR Lechien, CM Chiesa-Estomba, P Cabaraux, Q Mat, K Huet, ... Journal of Voice 36 (2), 249-255, 2022 | 140 | 2022 |
| Dynamic Bayesian Networks modelling the dependability of systems with degradations and exogenous constraints P Weber, P Munteanu, L Jouffe IFAC Proceedings Volumes 37 (4), 207-212, 2004 | 58 | 2004 |
| Predictive accuracy of COVID-19 world health organization (Who) severity classification and comparison with a bayesian-method-based severity score (epi-score) C de Terwangne, J Laouni, L Jouffe, JR Lechien, V Bouillon, S Place, ... Pathogens 9 (11), 880, 2020 | 43 | 2020 |
| Effect of genetic variability within 8q24 on aggressiveness patterns at diagnosis and familial status of prostate cancer O Cussenot, AR Azzouzi, G Bantsimba-Malanda, C Gaffory, P Mangin, ... Clinical Cancer Research 14 (17), 5635-5639, 2008 | 42 | 2008 |
| New search strategies for learning Bayesian networks L Jouffe, P Munteanu Proceedings of the 10th International Symposium on Applied Stochastic Models …, 2001 | 38 | 2001 |
| Introduction to bayesian networks & bayesialab S Conrady, L Jouffe Bayesia SAS, 2013 | 32 | 2013 |
| Actor-critic learning based on fuzzy inference system L Jouffe 1996 IEEE International Conference on Systems, Man and Cybernetics …, 1996 | 28 | 1996 |
| A reinforcement learning method for an autonomous robot PY Glorennec, L Jouffe Proceedings of E ufit 96, 1996 | 25 | 1996 |
| Bayesian network as an aid for Food Chain Information use for meat inspection C Lupo, S Le Bouquin, L Balaine, V Michel, J Péraste, I Petetin, P Colin, ... Preventive Veterinary Medicine 109 (1-2), 25-36, 2013 | 21 | 2013 |
| Anosmia is a key symptom of COVID-19 infection and should be used as a diagnostic tool JR Lechien, MR Barillari, L Jouffe, S Saussez Ear, Nose & Throat Journal 99 (9), 577-578, 2020 | 16 | 2020 |
| Bayesian predictive model to assess BRCA2 mutational status according to clinical history: Early onset, metastatic phenotype or family history of breast/ovary cancer P Leon, G Cancel‐Tassin, V Bourdon, B Buecher, S Oudard, L Brureau, ... The Prostate 81 (6), 318-325, 2021 | 10 | 2021 |
| Analysis of factors associated with Salmonella isolation on pork carcasses using bayesian networks. R Rossel, L Jouffe, PA Belceil | 10 | 2009 |
