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Books and Theses
- 1997
[b1]Daniel Schang:
Représentation et interprétation de connaissances spatiales dans un système de dialogue Homme-Machine. (Representation and interpretation of spatial knowledge in a man-machine system). Henri Poincaré University, Nancy, France, 1997
Journal Articles
- 2022
- [j4]Nicolas Gutowski
, Daniel Schang, Olivier Camp, Pierre Abraham:
A novel multi-objective medical feature selection compass method for binary classification. Artif. Intell. Medicine 127: 102277 (2022) - 2014
- [j3]Pierre E. Chauvet, Sylvie Nguyen The Tich, Daniel Schang, Alain Clément:
Evaluation of automatic feature detection algorithms in EEG: Application to interburst intervals. Comput. Biol. Medicine 54: 61-71 (2014) - 2011
- [j2]Mathieu Feuilloy, Daniel Schang, Jacques Olivier Fortrat:
Combinaison et comparaison de méthodes de sélection de variables pour prédire l'apparition de syncopes inexpliquées. Rev. d'Intelligence Artif. 25(4): 551-579 (2011) - 2006
- [j1]Daniel Schang, Elisabeth Bellard, G. Plantier, J. M. Dupuis, J. Victor, G. Leftheriotis:
Comparison of computational algorithms applied on transthoracic impedance waveforms to predict head-up tilt table testing outcome. Comput. Biol. Medicine 36(3): 225-240 (2006)
Conference and Workshop Papers
- 2022
- [c8]Gaëlle Milon-Harnois, Nisrine Jrad, Daniel Schang, Patrick Van Bogaert, Pierre Chauvet:
1D vs 2D convolutional neural networks for scalp high frequency oscillations identification. ESANN 2022 - [c7]Gaëlle Milon-Harnois, Nisrine Jrad, Daniel Schang, Patrick Van Bogaert, Pierre Chauvet:
Deep Learning for scalp High Frequency Oscillations Identification. EUSIPCO 2022: 1223-1227 - 2017
- [c6]Nisrine Jrad, Daniel Schang, Pierre Chauvet, Sylvie Nguyen The Tich, Bassam Daya, Marc Gibaud:
Automatic Detector of Abnormal EEG for Preterm Infants. HealthyIoT 2017: 82-87 - 2010
- [c5]Mohamad Darwiche, Mathieu Feuilloy, Ghazi Bousaleh, Daniel Schang:
Prediction of blood transfusion donation. RCIS 2010: 51-56 - 2006
- [c4]Mathieu Feuilloy, Daniel Schang, Pascal Nicolas:
Comparison of Feature Selection Methods for Syncope Prediction. IEEE Congress on Evolutionary Computation 2006: 2756-2763 - [c3]Mathieu Feuilloy, Daniel Schang, Pascal Nicolas:
A quick low cost method for syncope prediction. EUSIPCO 2006: 1-5 - 2005
- [c2]Mathieu Feuilloy, Daniel Schang, Pascal Nicolas, Jacques Olivier Fortrat, Jacques Victor:
Dimension reduction methods for the early syncope prediction by artificial neural networks. ISSPA 2005: 74-77 - 1994
- [c1]Daniel Schang, Laurent Romary:
Frames, a unified model for the representation of reference and space in a man-machine dialogue. ICSLP 1994: 951-954
Coauthor Index
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