Recherche - Archive ouverte HAL

40 résultats

	Pour les 40 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Comparative Study Between the Timed Automata and the Recurrent Radial Basis Function for Discrete Event System Diagnosis Ryad Zemouri , Jean-Marc Faure IFAC Proceedings Volumes, 2006, 39 (13), pp.1455-1460. ⟨10.3182/20060829-4-CN-2909.00242⟩ Article dans une revue hal-02479210v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A new growing pruning deep learning neural network algorithm (GP-DLNN) Ryad Zemouri , Nabil Omri , Farhat Fnaiech , Noureddine Zerhouni , Nader Fnaiech Neural Computing and Applications, 2019, ⟨10.1007/s00521-019-04196-8⟩ Article dans une revue hal-02462260v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Dimension reduction and 2D-visualization for early change of state detection in a machining process with a variational autoencoder approach Antoine Proteau , Ryad Zemouri , Antoine Tahan , Marc Thomas International Journal of Advanced Manufacturing Technology, 2020, 111 (11-12), pp.3597-3611. ⟨10.1007/s00170-020-06338-y⟩ Article dans une revue hal-03013491v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Unsupervised Feature Reduction Techniques with Bidirectional GRU Neural Network for Aircraft Engine RUL Estimation Ikram Remadna , Sadek Labib Terrissa , Ryad Zemouri , Soheyb Ayad , Noureddine Zerhouni Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), pp.496-506, 2020, ⟨10.1007/978-3-030-36674-2_50⟩ Chapitre d'ouvrage hal-02471894v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Leveraging the Power of the Combination of CNN and Bi-Directional LSTM Networks for Aircraft Engine RUL Estimation Ikram Remadna , Sadek Labib Terrissa , Ryad Zemouri , Soheyb Ayad , Noureddine Zerhouni 2020 Prognostics and Health Management Conference (PHM-Besançon), May 2020, Besancon, France. pp.116-121, ⟨10.1109/PHM-Besancon49106.2020.00025⟩ Communication dans un congrès hal-02868394v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Breast cancer diagnosis based on joint variable selection and Constructive Deep Neural Network Ryad Zemouri , N. Omri , C. Devalland , L. Arnould , B. Morello , et al. 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME), Mar 2018, Tunis, France. pp.159-164, ⟨10.1109/MECBME.2018.8402426⟩ Communication dans un congrès hal-02465962v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Improving data-driven prognostics by assessing predictability of features. Kamran Javed , Rafael Gouriveau , Ryad Zemouri , Noureddine Zerhouni Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM'11., Sep 2011, Montréal, Québec, Canada. pp.555-560 Communication dans un congrès hal-00632185v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Features Selection Procedure for Prognostics: An Approach Based on Predictability Kamran Javed , Rafael Gouriveau , Ryad Zemouri , Noureddine Zerhouni 8th IFAC International Symposium on Fault Dectection, Supervision and Safety for Technical Processes, SAFEPROCESS'12., Aug 2012, Mexico City, Mexico. pp.25-30 Communication dans un congrès hal-00734037v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Recurrent radial basis function network for time-series prediction Ryad Zemouri , Daniel Racoceanu , Noureddine Zerhouni Engineering Applications of Artificial Intelligence, 2003, 16 (5-6), pp.453-463. ⟨10.1016/S0952-1976(03)00063-0⟩ Article dans une revue istex hal-02479206v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Comparative Study Between the Timed Automata and the Recurrent Radial Basis Function for Discrete Event System Diagnosis Ryad Zemouri , Jean-Marc Faure 6th IFAC Symposium, SAFEPROCESS 2006, Sep 2006, Beijing, China. pp.1455-1460, ⟨10.1016/B978-008044485-7/50244-X⟩ Communication dans un congrès hal-02479220v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators Ryad Zemouri , Melanie Levesque , Normand Amyot , Claude Hudon , Olivier Kokoko , et al. IEEE Access, 2020, 8, pp.5438-5454. ⟨10.1109/ACCESS.2019.2962775⟩ Article dans une revue hal-02462252v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Defining and applying prediction performance metrics on a recurrent NARX time series model. Ryad Zemouri , Rafael Gouriveau , Noureddine Zerhouni Neurocomputing, 2010, 73 (13-15), pp.2506-2521. ⟨10.1016/j.neucom.2010.06.005⟩ Article dans une revue hal-00501643v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Improving the prediction accuracy of recurrent neural network by a PID controller. Ryad Zemouri , Rafael Gouriveau , Paul Ciprian Patic International Journal of Systems Applications, Engineering & Development., 2010, 4 (2), pp.19-34 Article dans une revue hal-00544722v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The RRBF. Dynamic representation of time in radial basis function network Ryad Zemouri , Z. Ryad , R. Daniel , Z. Noureddine ETFA 2001. 2001 8th International Conference on Emerging Technologies and Factory Automation., Oct 2001, Antibes-Juan les Pins, France. pp.737-740, ⟨10.1109/ETFA.2001.997771⟩ Communication dans un congrès hal-02479183v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Combining a recurrent neural network and a PID controller for prognostic purpose. Ryad Zemouri , Rafael Gouriveau , Noureddine Zerhouni PENTOM'09 - PErformances et Nouvelles TechnolOgies en Maintenance., Dec 2009, Autrans, France. pp.1-14 Communication dans un congrès hal-00445707v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep Variational Autoencoder: An Efficient Tool for PHM Frameworks Ryad Zemouri , Melanie Levesque , Normand Amyot , Claude Hudon , Olivier Kokoko 2020 Prognostics and Health Management Conference (PHM-Besançon), May 2020, Besancon, France. pp.235-240, ⟨10.1109/PHM-Besancon49106.2020.00046⟩ Communication dans un congrès hal-02868384v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An evolutionary building algorithm for Deep Neural Networks Ryad Zemouri 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), Jun 2017, Nancy, France. pp.1-7, ⟨10.1109/WSOM.2017.8020002⟩ Communication dans un congrès hal-02465979v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Intelligence artificielle : quel avenir en anatomie pathologique ? Ryad Zemouri , Christine Devalland , Séverine Valmary-Degano , Noureddine Zerhouni Annales de Pathologie, 2019, 39 (2), pp.119-129. ⟨10.1016/j.annpat.2019.01.004⟩ Article dans une revue hal-02462265v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Hierarchical systems monitoring using Recurrent Synchronized Fuzzy Petri Nets Eugénia Minca , Ryad Zemouri , Florin Dragomir , Otilia Elena Dragomir 2009 European Control Conference (ECC), Aug 2009, Budapest, France. pp.4775-4779, ⟨10.23919/ECC.2009.7075155⟩ Communication dans un congrès hal-02479239v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Automatic Line for Sorting and Identification Parts in Industrial Manufacturing Paul Ciprian Patic , Ion Florin Popa , Ryad Zemouri Proceedings of the 33rd International Business Information Management Association (IBIMA), Apr 2019, Granada, Spain. pp.2982-2994 Communication dans un congrès hal-04052267v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Petri nets graphic method of reduction using birth-death processes Ryad Zemouri , D. Racoceanu , N. Zerhouni 2001 ICRA. IEEE International Conference on Robotics and Automation, May 2001, Seoul, South Korea. pp.46-51, ⟨10.1109/ROBOT.2001.932528⟩ Communication dans un congrès hal-02479177v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		APPLICATION OF THE DYNAMIC RBF NETWORK IN A MONITORING PROBLEM OF THE PRODUCTION SYSTEMS Ryad Zemouri , Daniel Racoceanu , Noureddine Zerhouni IFAC Proceedings Volumes, 2002, 35 (1), pp.295-300. ⟨10.3182/20020721-6-ES-1901.01602⟩ Article dans une revue hal-02479197v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer Aline Baltres , Zeina Al Masry , Ryad Zemouri , Séverine Valmary-Degano , Laurent Arnould , et al. Breast Cancer, 2020, ⟨10.1007/s12282-020-01100-4⟩ Article dans une revue hal-02605519v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Semi-Supervised Adversarial Variational Autoencoder Ryad Zemouri Machine Learning and Knowledge Extraction, 2020, 2 (3), pp.361-378. ⟨10.3390/make2030020⟩ Article dans une revue hal-02931571v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Towards accurate and reproducible predictions for prognostic : an approach combining a RRBF Network and an AutoRegressive Model. Ryad Zemouri , Rafael Gouriveau 1st IFAC Workshop on Advanced Maintenance Engineering, Services and Technology, IFAC A-MEST'10., Jul 2010, Lisbonne, Portugal. pp.163-168 Communication dans un congrès hal-00503906v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		From the spherical to an elliptic form of the dynamic RBF neural network influence field Ryad Zemouri , D. Racoceanu , N. Zerhouni 2002 International Joint Conference on Neural Networks (IJCNN), May 2002, Honolulu, United States. pp.107-112, ⟨10.1109/IJCNN.2002.1005452⟩ Communication dans un congrès hal-02479186v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Réseaux de neurones récurrents à fonctions de base radiales : RRFR Application au pronostic Ryad Zemouri , Daniel Racoceanu , Nourredine Zerhouni Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2003, 16 (3), pp.307-338. ⟨10.3166/ria.16.307-338⟩ Article dans une revue istex hal-02479188v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Diagnosis of discrete event system by stochastic timed automata Ryad Zemouri , Jean Marc Faure 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, Oct 2006, Munich, Germany. pp.1861-1866, ⟨10.1109/CACSD-CCA-ISIC.2006.4776924⟩ Communication dans un congrès hal-02479215v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Constructive Deep Neural Network for Breast Cancer Diagnosis Ryad Zemouri , N. Omri , B. Morello , C. Devalland , L. Arnould , et al. 10th IFAC Symposium on Biological and Medical Systems BMS 2018, Sep 2018, São Paulo, Brazil. pp.98-103, ⟨10.1016/j.ifacol.2018.11.660⟩ Communication dans un congrès hal-02465970v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An overview on the deep learning based prognostic Ikram Remadna , Sadek Labib Terrissa , Ryad Zemouri , Soheyb Ayad 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET), Mar 2018, Hammamet, France. pp.196-200, ⟨10.1109/ASET.2018.8379858⟩ Communication dans un congrès hal-02465952v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Comparative Study Between the Timed Automata and the Recurrent Radial Basis Function for Discrete Event System Diagnosis

A new growing pruning deep learning neural network algorithm (GP-DLNN)

Dimension reduction and 2D-visualization for early change of state detection in a machining process with a variational autoencoder approach

Unsupervised Feature Reduction Techniques with Bidirectional GRU Neural Network for Aircraft Engine RUL Estimation

Leveraging the Power of the Combination of CNN and Bi-Directional LSTM Networks for Aircraft Engine RUL Estimation

Breast cancer diagnosis based on joint variable selection and Constructive Deep Neural Network

Improving data-driven prognostics by assessing predictability of features.

Features Selection Procedure for Prognostics: An Approach Based on Predictability

Recurrent radial basis function network for time-series prediction

Comparative Study Between the Timed Automata and the Recurrent Radial Basis Function for Discrete Event System Diagnosis

Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators

Defining and applying prediction performance metrics on a recurrent NARX time series model.

Improving the prediction accuracy of recurrent neural network by a PID controller.

The RRBF. Dynamic representation of time in radial basis function network

Combining a recurrent neural network and a PID controller for prognostic purpose.

Deep Variational Autoencoder: An Efficient Tool for PHM Frameworks

An evolutionary building algorithm for Deep Neural Networks

Intelligence artificielle : quel avenir en anatomie pathologique ?

Hierarchical systems monitoring using Recurrent Synchronized Fuzzy Petri Nets

Automatic Line for Sorting and Identification Parts in Industrial Manufacturing

A Petri nets graphic method of reduction using birth-death processes

APPLICATION OF THE DYNAMIC RBF NETWORK IN A MONITORING PROBLEM OF THE PRODUCTION SYSTEMS

Prediction of Oncotype DX recurrence score using deep multi-layer perceptrons in estrogen receptor-positive, HER2-negative breast cancer

Semi-Supervised Adversarial Variational Autoencoder

Towards accurate and reproducible predictions for prognostic : an approach combining a RRBF Network and an AutoRegressive Model.

From the spherical to an elliptic form of the dynamic RBF neural network influence field

Réseaux de neurones récurrents à fonctions de base radiales : RRFR Application au pronostic

Diagnosis of discrete event system by stochastic timed automata

Constructive Deep Neural Network for Breast Cancer Diagnosis

An overview on the deep learning based prognostic