Emmanuel Ramasso

40 papers B 1C 4Journal 22Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A new criterion based on the distribution of cluster onsets for interpreting acoustic emission data signals: three case studies in structural and process monitoring.
Pattern Anal. Appl.
Emmanuel Ramasso, Martin Mbarga Nkogo, Neha Chandarana, Gilles Bourbon, Patrice Le Moal, Quentin Lefèbvre, Martial Personeni, Constantinos Soutis, Matthieu Gresil, Sébastien Thibaud
2025 J jnl
DEEM: A novel approach to semi-supervised and unsupervised image clustering under uncertainty using belief functions and convolutional neural networks.
Int. J. Approx. Reason.
Loïc Guiziou, Emmanuel Ramasso, Sébastien Thibaud, Sébastien Denneulin
2024 — conf
Deep Evidential Clustering of Images.
BELIEF
Loïc Guiziou, Emmanuel Ramasso, Sébastien Thibaud, Sébastien Denneulin
2024 J jnl
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence.
CoRR
Emmanuel Ramasso, Rafael de O. Teloli, Romain Marcel
2022 — conf
A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels.
BELIEF
Martin Mbarga Nkogo, Emmanuel Ramasso, Patrice Le Moal, Gilles Bourbon
2022 J jnl
Monitoring a Bolted Vibrating Structure Using Multiple Acoustic Emission Sensors: A Benchmark.
Data
Emmanuel Ramasso, Benoît Verdin, Gaël Chevallier
2021 J jnl
Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics.
CoRR
Pablo Juesas Cano, Emmanuel Ramasso, Sébastien Drujont, Vincent Placet
2021 J jnl
CMUT-Based Sensor for Acoustic Emission Application: Experimental and Theoretical Contributions to Sensitivity Optimization.
Sensors
Redha Boubenia, Patrice Le Moal, Gilles Bourbon, Emmanuel Ramasso, Eric Joseph
2021 J jnl
Clustering acoustic emission data streams with sequentially appearing clusters using mixture models.
CoRR
Emmanuel Ramasso, Thierry Denoeux, Gaël Chevallier
2020 J jnl
Adaptive early classification of temporal sequences using deep reinforcement learning.
Knowl. Based Syst.
Coralie Martinez, Emmanuel Ramasso, Guillaume Perrin, Michèle Rombaut
2020 J jnl
Learning the representation of raw acoustic emission signals by direct generative modelling and its use in chronology-based clusters identification.
Eng. Appl. Artif. Intell.
Emmanuel Ramasso, Pauline Butaud, Thomas Jeannin, Fabrizio Sarasini, Vincent Placet, Nathalie Godin, Jacopo Tirillò, Xavier Gabrion
2018 — conf
A Deep Reinforcement Learning Approach for Early Classification of Time Series.
EUSIPCO
Coralie Martinez, Guillaume Perrin, Emmanuel Ramasso, Michèle Rombaut
2017 J jnl
Inference and Learning in Evidential Discrete Latent Markov Models.
IEEE Trans. Fuzzy Syst.
Emmanuel Ramasso
2016 — conf
A Solution for the Learning Problem in Evidential (Partially) Hidden Markov Models Based on Conditional Belief Functions and EM.
IPMU (1)
Emmanuel Ramasso
2016 — book
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).
Emmanuel Ramasso
2015 J jnl
Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites.
IEEE Trans. Instrum. Meas.
Emmanuel Ramasso, Vincent Placet, Mohamed Lamine Boubakar
2015 C conf
Weighted Maximum Likelihood for Parameters Learning Based on Noisy Labels in Discrete Hidden Markov Models.
ECSQARU
Pablo Juesas Cano, Emmanuel Ramasso
2014 J jnl
Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions.
IEEE Trans. Fuzzy Syst.
Emmanuel Ramasso, Thierry Denoeux
2014 J jnl
Remaining Useful Life Estimation by Classification of Predictions Based on a Neuro-Fuzzy System and Theory of Belief Functions.
IEEE Trans. Reliab.
Emmanuel Ramasso, Rafael Gouriveau
2013 J jnl
Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions.
IEEE Trans. Cybern.
Emmanuel Ramasso, Michèle Rombaut, Noureddine Zerhouni
2012 J jnl
Evidential evolving Gustafson-Kessel algorithm for online data streams partitioning using belief function theory.
Int. J. Approx. Reason.
Lisa Serir, Emmanuel Ramasso, Noureddine Zerhouni
2012 — conf
Partially-Hidden Markov Models.
Belief Functions
Emmanuel Ramasso, Thierry Denoeux, Noureddine Zerhouni
2012 — conf
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions.
Belief Functions
Emmanuel Ramasso, Michèle Rombaut, Noureddine Zerhouni
2012 J jnl
Segmentation and Sampling of Moving Object Trajectories Based on Representativeness.
IEEE Trans. Knowl. Data Eng.
Costas Panagiotakis, Nikos Pelekis, Ioannis Kopanakis, Emmanuel Ramasso, Yannis Theodoridis
2011 C conf
E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions.
ECSQARU
Lisa Serir, Emmanuel Ramasso, Noureddine Zerhouni
2011 — conf
Evidential Evolving Gustafson-Kessel Algorithm (E2GK) and its application to PRONOSTIA's data streams partitioning.
CDC/ECC
Lisa Serir, Emmanuel Ramasso, Patrick Nectoux, Olivier Bauer, Noureddine Zerhouni
2011 — conf
Parameter identification in Choquet Integral by the Kullback-Leibler divergence on continuous densities with application to classification fusion.
EUSFLAT Conf.
Emmanuel Ramasso, Sylvie Jullien
2010 J jnl
Belief Scheduler based on model failure detection in the TBM framework. Application to human activity recognition.
Int. J. Approx. Reason.
Emmanuel Ramasso, Costas Panagiotakis, Michèle Rombaut, Denis Pellerin
2008 J jnl
Human action recognition in videos based on the Transferable Belief Model.
Pattern Anal. Appl.
Emmanuel Ramasso, Costas Panagiotakis, Denis Pellerin, Michèle Rombaut
2008 J jnl
Quality evaluation of insulating parts by fusion of classifiers issued from tomographic images.
Inf. Fusion
Lionel Valet, Emmanuel Ramasso, Sylvie Teyssier
2008 J jnl
Shape-Based Individual/Group Detection for Sport Videos Categorization.
Int. J. Pattern Recognit. Artif. Intell.
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tziritas, Michèle Rombaut, Denis Pellerin
2007 B conf
Automatic people detection and counting for athletic videos classification.
AVSS
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tziritas, Michèle Rombaut, Denis Pellerin
2007 C conf
Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions.
ECSQARU
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
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).
Emmanuel Ramasso
2007 J jnl
State Filtering and Change Detection Using TBM Conflict Application to Human Action Recognition in Athletics Videos.
IEEE Trans. Circuits Syst. Video Technol.
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
2006 — conf
A Temporal Belief Filter Improving Human Action Recognition in Videos.
ICASSP (2)
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
2006 C conf
Belief scheduling for recognition of human action sequence.
FUSION
Emmanuel Ramasso, Denis Pellerin, Michèle Rombaut
2006 — conf
Shape-Motion Based Athlete Tracking for Multilevel Action Recognition.
AMDO
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tziritas, Michèle Rombaut, Denis Pellerin
2006 J jnl
Un filtre temporel crédibiliste pour la reconnaissance d'actions humaines dans les vidéos
CoRR
Emmanuel Ramasso, Michèle Rombaut, Denis Pellerin
2005 — conf
Spatiotemporal information fusion for human action recognition in videos.
EUSIPCO
Emmanuel Ramasso, Denis Pellerin, Costas Panagiotakis, Michèle Rombaut, George Tziritas, William Lim