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ORCIDJoseph Rynkiewicz
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2020 – today
- 2022
[c17]Joseph Rynkiewicz:
Deep networks with ReLU activation functions can be smooth statistical models. ESANN 2022- 2021
- [c16]Joseph Rynkiewicz:
Differentiability in Quadratic Mean of Deep Networks. IJCCI 2021: 7
2010 – 2019
- 2019
- [j9]Joseph Rynkiewicz:
Asymptotic statistics for multilayer perceptron with ReLU hidden units. Neurocomputing 342: 16-23 (2019) - [c15]Joseph Rynkiewicz:
On overfitting of multilayer perceptrons for classification. ESANN 2019 - 2018
- [c14]Joseph Rynkiewicz:
Asymptotic statistics for multilayer perceptron with ReLu hidden units. ESANN 2018 - 2012
- [j8]Joseph Rynkiewicz:
General bound of overfitting for MLP regression models. Neurocomputing 90: 106-110 (2012) - [j7]Marie Cottrell, Madalina Olteanu, Fabrice Rossi
, Joseph Rynkiewicz, Nathalie Villa-Vialaneix:
Neural Networks for Complex Data. Künstliche Intell. 26(4): 373-380 (2012) - [c13]Joseph Rynkiewicz, Solohaja-Faniaha Dimby:
Quantile regression with multilayer perceptrons. ESANN 2012 - [i1]Marie Cottrell, Madalina Olteanu, Fabrice Rossi, Joseph Rynkiewicz, Nathalie Villa-Vialaneix:
Neural Networks for Complex Data. CoRR abs/1210.6511 (2012) - 2011
- [j6]Madalina Olteanu, Joseph Rynkiewicz:
Asymptotic properties of mixture-of-experts models. Neurocomputing 74(9): 1444-1449 (2011) - [c12]Joseph Rynkiewicz:
General bound of overfitting for MLP regression models. ESANN 2011 - 2010
- [c11]Madalina Olteanu, Joseph Rynkiewicz:
Asymptotic properties of mixture-of-experts models. ESANN 2010
2000 – 2009
- 2008
- [j5]Madalina Olteanu, Joseph Rynkiewicz:
Estimating the number of components in a mixture of multilayer perceptrons. Neurocomputing 71(7-9): 1321-1329 (2008) - [c10]Joseph Rynkiewicz:
Asymptotic Law of Likelihood Ratio for Multilayer Perceptron Models. ISNN (1) 2008: 186-195 - 2007
- [j4]Alain-Louis Dutot, Joseph Rynkiewicz, Frédy E. Steiner, Julien Rude:
A 24-h forecast of ozone peaks and exceedance levels using neural classifiers and weather predictions. Environ. Model. Softw. 22(9): 1261-1269 (2007) - [c9]Madalina Olteanu, Joseph Rynkiewicz:
Estimating the Number of Components in a Mixture of Multilayer Perceptrons. ESANN 2007: 403-408 - 2006
- [j3]Joseph Rynkiewicz:
Efficient estimation of multidimensional regression model using multilayer perceptrons. Neurocomputing 69(7-9): 671-678 (2006) - [j2]Joseph Rynkiewicz:
Self-organizing map algorithm and distortion measure. Neural Networks 19(6-7): 830-837 (2006) - [c8]Joseph Rynkiewicz:
Consistent estimation of the architecture of multilayer perceptrons. ESANN 2006: 149-154 - 2005
- [c7]Joseph Rynkiewicz:
Efficient estimation of multidimensional regression model with multilayer perceptron. ESANN 2005: 223-227 - 2004
- [c6]Bertrand Maillet, Madalina Olteanu, Joseph Rynkiewicz:
Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime. ESANN 2004: 87-92 - 2003
- [c5]Joseph Rynkiewicz:
Estimation of Multidimensional Regression Model with Multilayer Perceptrons. IWANN (1) 2003: 310-317 - 2002
- [c4]Riadh Kallel, Joseph Rynkiewicz:
Parametric bootstrap for asymptotic test of contrast difference in neural networks. ESANN 2002: 57-64 - 2001
- [j1]Joseph Rynkiewicz, Marie Cottrell, Morgan Mangeas, Jian-Feng Yao:
Modèles de réseaux de neurones pour l'analyse des séries temporelles ou la régression - Estimation, identification, méthode d'élagage SSM. Rev. d'Intelligence Artif. 15(3-4): 317-332 (2001) - [c3]Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell:
Some known facts about financial data. ESANN 2001: 223-236 - [c2]Joseph Rynkiewicz:
Estimation of Hybrid HMM/MLP models. ESANN 2001: 383-390
1990 – 1999
- 1999
- [c1]Joseph Rynkiewicz:
Hybrid HMM/MLP models for times series prediction. ESANN 1999: 455-462
Coauthor Index
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