Emmanuel Ramasso
Orcid: 0000-0002-1744-7453
According to our database1,
Emmanuel Ramasso
authored at least 36 papers
between 2005 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2022
Monitoring a Bolted Vibrating Structure Using Multiple Acoustic Emission Sensors: A Benchmark.
Data, 2022
A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels.
Proceedings of the Belief Functions: Theory and Applications, 2022
2021
CMUT-Based Sensor for Acoustic Emission Application: Experimental and Theoretical Contributions to Sensitivity Optimization.
Sensors, 2021
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models.
CoRR, 2021
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics.
CoRR, 2021
2020
Adaptive early classification of temporal sequences using deep reinforcement learning.
Knowl. Based Syst., 2020
Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification.
Eng. Appl. Artif. Intell., 2020
2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
IEEE Trans. Fuzzy Syst., 2017
2016
A Solution for the Learning Problem in Evidential (Partially) Hidden Markov Models Based on Conditional Belief Functions and EM.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016
Méthodologies d'analyse de séries temporelles sous incertitudes aléatoires et épistémiques pour le suivi et le pronostic de l'état de systèmes et structures - De l'estimation d'une cinétique d'endommagement à son contrôle. (Methodologies for time series analysis under aleatoric and epistemic uncertainties for structural health monitoring and prognostics).
, 2016
2015
Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites.
IEEE Trans. Instrum. Meas., 2015
Weighted Maximum Likelihood for Parameters Learning Based on Noisy Labels in Discrete Hidden Markov Models.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015
2014
Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions.
IEEE Trans. Reliab., 2014
Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions.
IEEE Trans. Fuzzy Syst., 2014
2013
Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions.
IEEE Trans. Cybern., 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
Evidential evolving Gustafson-Kessel algorithm for online data streams partitioning using belief function theory.
Int. J. Approx. Reason., 2012
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
2011
Parameter identification in Choquet Integral by the Kullback-Leibler divergence on continuous densities with application to classification fusion.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011
E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
Evidential Evolving Gustafson-Kessel Algorithm (E2GK) and its application to PRONOSTIA's data streams partitioning.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Belief Scheduler based on model failure detection in the TBM framework. Application to human activity recognition.
Int. J. Approx. Reason., 2010
2008
Pattern Anal. Appl., 2008
Quality evaluation of insulating parts by fusion of classifiers issued from tomographic images.
Inf. Fusion, 2008
Int. J. Pattern Recognit. Artif. Intell., 2008
2007
Reconnaissance de séquences d'états par le Modèle des Croyances Transférables. Application à l'analyse de vidéos d'athlétisme. (State sequence recognition based on the Transferable Belief Model. Application to athletics videos analysis).
PhD thesis, 2007
State Filtering and Change Detection Using TBM Conflict Application to Human Action Recognition in Athletics Videos.
IEEE Trans. Circuits Syst. Video Technol., 2007
Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007
2006
Un filtre temporel crédibiliste pour la reconnaissance d'actions humaines dans les vidéos
CoRR, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 9th International Conference on Information Fusion, 2006
Proceedings of the Articulated Motion and Deformable Objects, 4th International Conference, 2006
2005
Proceedings of the 13th European Signal Processing Conference, 2005