Oumar Niang
Orcid: 0000-0002-5076-9243
According to our database1,
Oumar Niang
authored at least 22 papers
between 2003 and 2022.
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Bibliography
2022
Proceedings of the Innovations and Interdisciplinary Solutions for Underserved Areas, 2022
2020
Arrhythmias Prediction Using an Hybrid Model Based on Convolutional Neural Network and Nonlinear Regression.
Int. J. Comput. Intell. Appl., 2020
Data Fusion Model from Coupling Ontologies and Clinical Reports to Guide Medical Diagnosis Process.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020
2019
Performance study of ABC scheme in an IoT context: the case of I2PA, Idemix and U-prove.
CoRR, 2019
Enrichment of Medical Ontologies from Textual Clinical Reports: Towards Improving Linking Human Diseases and Signs.
Proceedings of the Innovations and Interdisciplinary Solutions for Underserved Areas, 2019
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
I2PA, U-prove, and Idemix: An Evaluation of Memory Usage and Computing Time Efficiency in an IoT Context.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2019
2018
Int. J. Image Graph., 2018
Intégration d'ontologies médicales : améloriation par association des maladies humaines à leurs plus pertinents signes caratéristiques.
Proceedings of the IC 2018 : 29es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 29th French Knowledge Engineering Conference), 2018
Modélisation de connaissances médicales pour améliorer le descriptif des maladies humaines avec leurs plus pertinents signes caractéristiques.
Proceedings of the Business Intelligence & Big Data, 2018
Classification and Prediction of Arrhythmias from Electrocardiograms Patterns Based on Empirical Mode Decomposition and Neural Network.
Proceedings of the e-Infrastructure and e-Services for Developing Countries, 2018
2017
J. Electr. Comput. Eng., 2017
Neural Networks for Biomedical Signals Classification Based on Empirical Mode Decomposition and Principal Component Analysis.
Proceedings of the Innovation and Interdisciplinary Solutions for Underserved Areas, 2017
2014
2012
Partial Differential Equation-Based Approach for Empirical Mode Decomposition: Application on Image Analysis.
IEEE Trans. Image Process., 2012
2010
IEEE Trans. Signal Process., 2010
2007
Décomposition Modale Empirique : Contribution à la Modélisation Mathématique et Application en Traitement du Signal et de l'Image.
PhD thesis, 2007
2005
IEEE Signal Process. Lett., 2005
2003
Image Vis. Comput., 2003
Proceedings of the Image Analysis, 13th Scandinavian Conference, 2003
Texture analysis based on the bidimensional empirical mode decomposition with gray-level co-occurrence models.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003