Geoffroy Simon

发表

Bootstrap for Model Selection: Linear Approximation of the Optimism

Michel Verleysen, Amaury Lendasse, Geoffroy Simon, 2003, IWANN.

2006 Special Issue Unfolding preprocessing for meaningful time series clustering

Michel Verleysen, John Aldo Lee, Geoffroy Simon, 2006 .

Time series forecasting with SOM and local non-linear models - Application to the DAX30 index prediction

Amaury Lendasse, Geoffroy Simon, Michel Verleysen, 2003 .

On the Effects of Dimensionality on Data Analysis with Neural Networks

Michel Verleysen, Damien François, Vincent Wertz, 2009, IWANN.

Fast bootstrap methodology for regression model selection

Michel Verleysen, Amaury Lendasse, Vincent Wertz, 2005, Neurocomputing.

Double quantization of the regressor space for long-term time series prediction: method and proof of stability

Michel Verleysen, Amaury Lendasse, Marie Cottrell, 2004, Neural Networks.

Unfolding preprocessing for meaningful time series clustering

Michel Verleysen, John Aldo Lee, Geoffroy Simon, 2006, Neural Networks.

Fast approximation of the bootstrap for model selection

Michel Verleysen, Amaury Lendasse, Vincent Wertz, 2003, ESANN.

On the need of unfolding preprocessing for time series clustering

Michel Verleysen, John Aldo Lee, Geoffroy Simon, 2005 .

Lag selection for regression models using high-dimensional mutual information

Michel Verleysen, Geoffroy Simon, M. Verleysen, 2006, ESANN.

High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria

Michel Verleysen, Geoffroy Simon, M. Verleysen, 2007, Neurocomputing.

Time series forecasting: Obtaining long term trends with self-organizing maps

Michel Verleysen, Amaury Lendasse, Marie Cottrell, 2005, Pattern Recognit. Lett..

Fast Bootstrap for Model Structure Selection

Michel Verleysen, Amaury Lendasse, Vincent Wertz, 2003 .

Fast bootstrap for least-square support vector machines

Michel Verleysen, Amaury Lendasse, Vincent Wertz, 2004, ESANN.

Long-term time series forecasting using self-organizing maps : the double vector quantization method

Michel Verleysen, Amaury Lendasse, Marie Cottrell, 2003 .

Forecasting the CATS benchmark with the Double Vector Quantization method

Michel Verleysen, John Aldo Lee, Marie Cottrell, 2007, Neurocomputing.

Double SOM for Long-term Time Series Prediction

Michel Verleysen, Marie Cottrell, Geoffroy Simon, 2003 .

Time series forecasting with SOM and local non-linear models-Application to the DAX 30 index prediction

Michel Verleysen, Amaury Lendasse, Geoffroy Simon, 2003 .

Using the Self-Organizing Maps to prove empirically the market inefficiency: Evidence from the Paris Stock Exchange

Michel Verleysen, Geoffroy Simon, Walid Ben Omrane, 2005 .