| PRONOSTIA: An experimental platform for bearings accelerated degradation tests. P Nectoux, R Gouriveau, K Medjaher, E Ramasso, B Chebel-Morello, ... IEEE International Conference on Prognostics and Health Management, PHM'12., 1-8, 2012 | 1423 | 2012 |
| Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets E Ramasso, A Saxena International journal of prognostics and health management 5 (2), 1-15, 2014 | 224 | 2014 |
| Influence of moisture uptake on the static, cyclic and dynamic behaviour of unidirectional flax fibre-reinforced epoxy laminates M Berges, R Léger, V Placet, V Person, S Corn, X Gabrion, J Rousseau, ... Composites Part A: Applied Science and Manufacturing 88, 165-177, 2016 | 145 | 2016 |
| Segmentation and sampling of moving object trajectories based on representativeness C Panagiotakis, N Pelekis, I Kopanakis, E Ramasso, Y Theodoridis IEEE Transactions on Knowledge and Data Engineering 24 (7), 1328-1343, 2011 | 134 | 2011 |
| Investigating computational geometry for failure prognostics in presence of imprecise health indicator: Results and comparisons on c-mapss datasets E Ramasso 2nd Europen Confernce of the Prognostics and Health Management Society. 5, 1-13, 2014 | 131 | 2014 |
| Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions E Ramasso, M Rombaut, N Zerhouni IEEE Transactions on Systems Man and Cybernetics part B, 2012 | 126 | 2012 |
| A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites M Kharrat, E Ramasso, V Placet, ML Boubakar Mechanical Systems and Signal Processing 70, 1038-1055, 2016 | 108 | 2016 |
| Making use of partial knowledge about hidden states in HMMs: an approach based on belief functions E Ramasso, T Denoeux Fuzzy Systems, IEEE Transactions on 22 (2), 395-405, 2014 | 98 | 2014 |
| Investigating Computational Geometry for Failure Prognostics. E Ramasso International Journal on Prognostics and Health Management 5 (1), 1-18, 2014 | 91 | 2014 |
| Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions E Ramasso, R Gouriveau IEEE Transactions On Reliability 63 (2), 555 - 566, 2014 | 84 | 2014 |
| Unsupervised consensus clustering of acoustic emission time-series for robust damage sequence estimation in composites E Ramasso, V Placet, ML Boubakar IEEE Transactions on Instrumentation and Measurement 64 (12), 3297-3307, 2015 | 82 | 2015 |
| Review and Analysis of Algorithmic Approaches Developed for Prognostics on CMAPSS Dataset E Ramasso, A Saxena Annual Conference of the PHM society 5 (63), 1-11, 2014 | 82 | 2014 |
| An unsupervised pattern recognition approach for AE data originating from fatigue tests on polymer–composite materials DD Doan, E Ramasso, V Placet, S Zhang, ML Boubakar, N Zerhouni Mechanical Systems and Signal Processing, 2015 | 77 | 2015 |
| A deep reinforcement learning approach for early classification of time series C Martinez, G Perrin, E Ramasso, M Rombaut 26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome …, 2018 | 73 | 2018 |
| Prognostics in switching systems: Evidential Markovian classification of real-time neuro-fuzzy predictions E Ramasso, R Gouriveau 2010 Prognostics and System Health Management Conference, 1-10, 2010 | 71 | 2010 |
| About the fatigue endurance of unidirectional flax-epoxy composite laminates T Jeannin, X Gabrion, E Ramasso, V Placet Composites Part B: Engineering 165, 690-701, 2019 | 65 | 2019 |
| Evidential evolving Gustafson–Kessel algorithm for online data streams partitioning using belief function theory L Serir, E Ramasso, N Zerhouni International journal of approximate reasoning 53 (5), 747-768, 2012 | 57 | 2012 |
| Contribution of belief functions to hidden Markov models with an application to fault diagnosis E Ramasso 2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009 | 56 | 2009 |
| Influence of damage accumulation under fatigue loading on the AE-based health assessment of composite materials: Wave distortion and AE-features evolution as a function of … M Kharrat, V Placet, E Ramasso, ML Boubakar Composites Part A: Applied Science and Manufacturing 109, 615-627, 2018 | 54 | 2018 |
| Human action recognition in videos based on the transferable belief model: application to athletics jumps E Ramasso, C Panagiotakis, D Pellerin, M Rombaut Pattern analysis and Applications 11, 1-19, 2008 | 47 | 2008 |
Said Noureddine ZERHOUNIProfesseur d'Automatique, ENSMM Besançonایمیل تأیید شده در ens2m.fr
