52 results on '"Ramasso, Emmanuel"'
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2. A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels
3. Discrimination of vocal folds lesions by multiclass classification using autofluorescence spectroscopy: An ex vivo study
4. Joint Optimization of the Number of Clusters and Their Parameters in Acoustic Emission Clustering
5. Discrimination of Vocal Folds Lesions by Multiclass Classification using Autofluorescence Spectroscopy
6. Clustering acoustic emission data streams with sequentially appearing clusters using mixture models
7. Towards in-situ acoustic emission-based health monitoring in bio-based composites structures: Does embedment of sensors affect the mechanical behaviour of flax/epoxy laminates?
8. Monitoring a Bolted Vibrating Structure Using Multiple Acoustic Emission Sensors: A Benchmark
9. A Solution for the Learning Problem in Evidential (Partially) Hidden Markov Models Based on Conditional Belief Functions and EM
10. Weighted Maximum Likelihood for Parameters Learning Based on Noisy Labels in Discrete Hidden Markov Models
11. CMUT-Based Sensor for Acoustic Emission Application: Experimental and Theoretical Contributions to Sensitivity Optimization
12. Partially-Hidden Markov Models
13. Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions
14. E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions
15. Lymphocyte Segmentation Using the Transferable Belief Model
16. Investigating computational geometry for failure prognostics
17. Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets
18. Towards a better understanding of the CMUTs potential for SHM applications
19. Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification
20. Adaptive early classification of temporal sequences using deep reinforcement learning
21. Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions
22. Shape-Motion Based Athlete Tracking for Multilevel Action Recognition
23. Integration of Distributed Optical Fibres and Piezoelectric Sensors for SHM of Composite Tubes
24. Observation and Detection of Machining Phases in EDM Microdrilling by Acoustic Emission
25. Clustering Acoustic Emission Time-series Using Unsupervised-shapelets
26. Acoustic Emission Sensing using MEMS for Structural Health Monitoring: Demonstration of a Newly Designed Capacitive Micro Machined Ultrasonic Transducer
27. About the fatigue endurance of unidirectional flax-epoxy composite laminates
28. CMUT sensors based on circular membranes array for SHM applications
29. Inference and Learning in Evidential Discrete Latent Markov Models
30. A Robust-to-parameterization Clustering Fusion Approach for Monitoring Damage Onsets and Growth using Acoustic Emission
31. Influence of moisture uptake on the static, cyclic and dynamic behaviour of unidirectional flax fibre-reinforced epoxy laminates
32. On partially supervised learning and inference in dynamic Bayesian networks for prognostics with uncertain factual evidence: Illustration with Markov switching models
33. Theory and Applications of Data Clustering
34. Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites
35. Investigating Computational Geometry for Failure Prognostics in Presence of Imprecise Health Indicator: Results and Comparisons on C-MAPSS Datasets
36. Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions
37. Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions
38. E2GKpro: An evidential evolving multi-modeling approach for system behavior prediction with applications
39. PHM – Prognostics and health management - De la surveillance au pronostic de défaillances de systèmes complexes
40. Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions
41. Health Assessment of Composite Structures in Unconstrained Environments Using Partially Supervised Pattern Recognition Tools
42. Segmentation and Sampling of Moving Object Trajectories Based on Representativeness
43. Evidential evolving Gustafson–Kessel algorithm for online data streams partitioning using belief function theory
44. Evidential Evolving Gustafson-Kessel Algorithm (E2GK) and its application to PRONOSTIA's data streams partitioning
45. E2GK-pro: An Evidential Evolving Multimodeling Approach for Systems Behavior Prediction
46. Time-Sliced Temporal Evidential Networks: The case of Evidential HMM with application to dynamical system analysis
47. Parameter identification in Choquet Integral by the Kullback-Leibler divergence on continuous densities with application to classification fusion
48. Prognostics in switching systems: Evidential markovian classification of real-time neuro-fuzzy predictions
49. Contribution of belief functions to hidden markov models with an application to fault diagnosis
50. Human Shape-Motion Analysis In Athletics Videos for Coarse To Fine Action/Activity Recognition Using Transferable Belief Model
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