Emmanuel Ramasso

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 14

Top Venues

CoRR

BELIEF

IEEE Trans. Fuzzy Syst.

IEEE Trans. Reliab.

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Loïc Guiziou, Emmanuel Ramasso, Sébastien Thibaud, Sébastien Denneulin
Deep Evidential Clustering of Images. BELIEF (2024)
Emmanuel Ramasso, Rafael de O. Teloli, Romain Marcel
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence. CoRR (2024)
Emmanuel Ramasso, Benoît Verdin, Gaël Chevallier
Monitoring a Bolted Vibrating Structure Using Multiple Acoustic Emission Sensors: A Benchmark. Data 7 (3) (2022)
Martin Mbarga Nkogo, Emmanuel Ramasso, Patrice Le Moal, Gilles Bourbon
A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels. BELIEF (2022)
Emmanuel Ramasso, Thierry Denoeux, Gaël Chevallier
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models. CoRR (2021)
Redha Boubenia, Patrice Le Moal, Gilles Bourbon, Emmanuel Ramasso, Eric Joseph
CMUT-Based Sensor for Acoustic Emission Application: Experimental and Theoretical Contributions to Sensitivity Optimization. Sensors 21 (6) (2021)
Pablo Juesas Cano, Emmanuel Ramasso, Sébastien Drujont, Vincent Placet
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics. CoRR (2021)
Coralie Martinez, Emmanuel Ramasso, Guillaume Perrin, Michèle Rombaut
Adaptive early classification of temporal sequences using deep reinforcement learning. Knowl. Based Syst. 190 (2020)
Emmanuel Ramasso, Pauline Butaud, Thomas Jeannin, Fabrizio Sarasini, Vincent Placet, Nathalie Godin, Jacopo Tirillò, Xavier Gabrion
Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification. Eng. Appl. Artif. Intell. 90 (2020)
Coralie Martinez, Guillaume Perrin, Emmanuel Ramasso, Michèle Rombaut
A Deep Reinforcement Learning Approach for Early Classification of Time Series. EUSIPCO (2018)
Emmanuel Ramasso
Inference and Learning in Evidential Discrete Latent Markov Models. IEEE Trans. Fuzzy Syst. 25 (5) (2017)
Emmanuel Ramasso
A Solution for the Learning Problem in Evidential (Partially) Hidden Markov Models Based on Conditional Belief Functions and EM. IPMU (1) (2016)
Emmanuel Ramasso, Vincent Placet, Mohamed Lamine Boubakar
Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites. IEEE Trans. Instrum. Meas. 64 (12) (2015)
Pablo Juesas Cano, Emmanuel Ramasso
Weighted Maximum Likelihood for Parameters Learning Based on Noisy Labels in Discrete Hidden Markov Models. ECSQARU (2015)
Emmanuel Ramasso, Rafael Gouriveau
Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions. IEEE Trans. Reliab. 63 (2) (2014)
Emmanuel Ramasso, Thierry Denoeux
Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions. IEEE Trans. Fuzzy Syst. 22 (2) (2014)
Emmanuel Ramasso, Michèle Rombaut, Noureddine Zerhouni
Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions. IEEE Trans. Cybern. 43 (1) (2013)
Costas Panagiotakis, Nikos Pelekis, Ioannis Kopanakis, Emmanuel Ramasso, Yannis Theodoridis
Segmentation and Sampling of Moving Object Trajectories Based on Representativeness. IEEE Trans. Knowl. Data Eng. 24 (7) (2012)
Emmanuel Ramasso, Michèle Rombaut, Noureddine Zerhouni
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions. Belief Functions (2012)
Emmanuel Ramasso, Thierry Denoeux, Noureddine Zerhouni
Partially-Hidden Markov Models. Belief Functions (2012)
Lisa Serir, Emmanuel Ramasso, Noureddine Zerhouni
Evidential evolving Gustafson-Kessel algorithm for online data streams partitioning using belief function theory. Int. J. Approx. Reason. 53 (5) (2012)
Lisa Serir, Emmanuel Ramasso, Patrick Nectoux, Olivier Bauer, Noureddine Zerhouni
Evidential Evolving Gustafson-Kessel Algorithm (E2GK) and its application to PRONOSTIA's data streams partitioning. CDC/ECC (2011)
Emmanuel Ramasso, Sylvie Jullien
Parameter identification in Choquet Integral by the Kullback-Leibler divergence on continuous densities with application to classification fusion. EUSFLAT Conf. (2011)
Lisa Serir, Emmanuel Ramasso, Noureddine Zerhouni
E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions. ECSQARU (2011)
Emmanuel Ramasso, Costas Panagiotakis, Michèle Rombaut, Denis Pellerin
Belief Scheduler based on model failure detection in the TBM framework. Application to human activity recognition. Int. J. Approx. Reason. 51 (7) (2010)
Lionel Valet, Emmanuel Ramasso, Sylvie Teyssier
Quality evaluation of insulating parts by fusion of classifiers issued from tomographic images. Inf. Fusion 9 (2) (2008)
Emmanuel Ramasso, Costas Panagiotakis, Denis Pellerin, Michèle Rombaut
Human action recognition in videos based on the Transferable Belief Model. Pattern Anal. Appl. 11 (1) (2008)
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tziritas, Michèle Rombaut, Denis Pellerin
Shape-Based Individual/Group Detection for Sport Videos Categorization. Int. J. Pattern Recognit. Artif. Intell. 22 (6) (2008)
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tziritas, Michèle Rombaut, Denis Pellerin
Automatic people detection and counting for athletic videos classification. AVSS (2007)
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
State Filtering and Change Detection Using TBM Conflict Application to Human Action Recognition in Athletics Videos. IEEE Trans. Circuits Syst. Video Technol. 17 (7) (2007)
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions. ECSQARU (2007)
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
A Temporal Belief Filter Improving Human Action Recognition in Videos. ICASSP (2) (2006)
Emmanuel Ramasso, Denis Pellerin, Michèle Rombaut
Belief scheduling for recognition of human action sequence. FUSION (2006)
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tziritas, Michèle Rombaut, Denis Pellerin
Shape-Motion Based Athlete Tracking for Multilevel Action Recognition. AMDO (2006)
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
Un filtre temporel crédibiliste pour la reconnaissance d'actions humaines dans les vidéos CoRR (2006)
Emmanuel Ramasso, Denis Pellerin, Costas Panagiotakis, Michèle Rombaut, George Tziritas, William Lim
Spatiotemporal information fusion for human action recognition in videos. EUSIPCO (2005)

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Publication Activity (10 Years)

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Emmanuel Ramasso