Amaury Lendasse

2008
50	EE	Yoan Miche, Patrick Bas, Christian Jutten, Olli Simula, Amaury Lendasse: A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM. ESANN 2008: 247-252
49	EE	Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen: Using the Delta Test for Variable Selection. ESANN 2008: 25-30
48	EE	Amaury Lendasse, Francesco Corona: Linear Projection based on Noise Variance Estimation - Application to Spectral Data. ESANN 2008: 457-462
47	EE	Yoan Miche, Antti Sorjamaa, Amaury Lendasse: OP-ELM: Theory, Experiments and a Toolbox. ICANN (1) 2008: 145-154
46	EE	Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury Lendasse: Long-term prediction of time series using NNE-based projection and OP-ELM. IJCNN 2008: 2674-2680
45	EE	Elia Liitiäinen, Francesco Corona, Amaury Lendasse: On Nonparametric Residual Variance Estimation. Neural Processing Letters 28(3): 155-167 (2008)
2007
44	EE	Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Amaury Lendasse: SOM+EOF for finding missing values. ESANN 2007: 115-120
43	EE	Elia Liitiäinen, Francesco Corona, Amaury Lendasse: Nearest Neighbor Distributions and Noise Variance Estimation. ESANN 2007: 67-72
42	EE	Amaury Lendasse, Elia Liitiäinen: Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions. IJCNN 2007: 2812-2816
41	EE	Antti Sorjamaa, Amaury Lendasse: Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks. IJCNN 2007: 2948-2953
40	EE	Tuomas Kärnä, Amaury Lendasse: Gaussian Fitting Based FDA for Chemometrics. IWANN 2007: 186-193
39	EE	Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula: Advantages of Using Feature Selection Techniques on Steganalysis Schemes. IWANN 2007: 606-613
38	EE	Elia Liitiäinen, Amaury Lendasse, Francesco Corona: Non-parametric Residual Variance Estimation in Supervised Learning. IWANN 2007: 63-71
37	EE	Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen: Mutual information for the selection of relevant variables in spectrometric nonlinear modelling CoRR abs/0709.3427: (2007)
36	EE	Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen: Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps CoRR abs/cs/0701052: (2007)
35	EE	Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen: Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007)
34	EE	Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse: Methodology for long-term prediction of time series. Neurocomputing 70(16-18): 2861-2869 (2007)
2006
33	EE	Elia Liitiäinen, Nima Reyhani, Amaury Lendasse: EM-algorithm for training of state-space models with application to time series prediction. ESANN 2006: 137-142
32	EE	Antti Sorjamaa, Amaury Lendasse: Time series prediction using DirRec strategy. ESANN 2006: 143-148
31	EE	Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen: Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232
30	EE	Tuomas Kärnä, Fabrice Rossi, Amaury Lendasse: LS-SVM functional network for time series prediction. ESANN 2006: 473-478
29	EE	Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén: Analysis of Fast Input Selection: Application in Time Series Prediction. ICANN (2) 2006: 161-170
28	EE	Elia Liitiäinen, Amaury Lendasse: Long-Term Prediction of Time Series Using State-Space Models. ICANN (2) 2006: 181-190
27	EE	Yoan Miche, Benoit Roue, Amaury Lendasse, Patrick Bas: A Feature Selection Methodology for Steganalysis. MRCS 2006: 49-56
2005
26	EE	Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse: Mutual information and gamma test for input selection. ESANN 2005: 503-508
25	EE	Antti Sorjamaa, Amaury Lendasse, Michel Verleysen: Pruned lazy learning models for time series prediction. ESANN 2005: 509-514
24	EE	Antti Sorjamaa, Jin Hao, Amaury Lendasse: Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction. ICANN (2) 2005: 553-558
23	EE	Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen: LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) 2005: 625-630
22	EE	Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse: Input Selection for Long-Term Prediction of Time Series. IWANN 2005: 1002-1009
21	EE	Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse: Direct and Recursive Prediction of Time Series Using Mutual Information Selection. IWANN 2005: 1010-1017
20	EE	Antti Sorjamaa, Nima Reyhani, Amaury Lendasse: Input and Structure Selection for k-NN Approximator. IWANN 2005: 985-992
19	EE	Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen: Vector quantization: a weighted version for time-series forecasting. Future Generation Comp. Syst. 21(7): 1056-1067 (2005)
18	EE	Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap methodology for regression model selection. Neurocomputing 64: 161-181 (2005)
17	EE	Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen: Time series forecasting: Obtaining long term trends with self-organizing maps. Pattern Recognition Letters 26(12): 1795-1808 (2005)
2004
16	EE	Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap for least-square support vector machines. ESANN 2004: 525-530
15	EE	Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen: Double quantization of the regressor space for long-term time series prediction: method and proof of stability. Neural Networks 17(8-9): 1169-1181 (2004)
14	EE	John Aldo Lee, Amaury Lendasse, Michel Verleysen: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004)
2003
13	EE	Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Fast approximation of the bootstrap for model selection. ESANN 2003: 475-480
12	EE	Amaury Lendasse, Vincent Wertz, Michel Verleysen: Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. ICANN 2003: 573-580
11	EE	Geoffroy Simon, Amaury Lendasse, Michel Verleysen: Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) 2003: 182-189
10	EE	Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen: Nonlinear Time Series Prediction by Weighted Vector Quantization. International Conference on Computational Science 2003: 417-426
2002
9		John Aldo Lee, Amaury Lendasse, Michel Verleysen: Curvilinear Distance Analysis versus Isomap. ESANN 2002: 185-192
8		Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen: Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN 2002: 425-432
7	EE	Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen: Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing 48(1-4): 299-311 (2002)
2001
6	EE	Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen: Input data reduction for the prediction of financial time series. ESANN 2001: 237-244
2000
5	EE	John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen: A robust non-linear projection method. ESANN 2000: 13-20
4	EE	Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen: Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN 2000: 329-334
1999
3	EE	Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Extraction of intrinsic dimension using CCA - Application to blind sources separation. ESANN 1999: 339-344
2		Michel Verleysen, Eric de Bodt, Amaury Lendasse: Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection. IWANN (2) 1999: 596-605
1998
1	EE	Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire: Forecasting time-series by Kohonen classification. ESANN 1998: 221-226

Coauthor Index

1	Cédric Archambeau	[8]
2	Patrick Bas	[27] [39] [50]
3	Nabil Benoudjit	[8]
4	Eric de Bodt	[1] [2] [6]
5	Francesco Corona	[31] [38] [43] [45] [48] [49]
6	Marie Cottrell	[1] [15] [17] [36]
7	Nicolas Donckers	[3] [5]
8	Emil Eirola	[49]
9	Jean-Claude Fort	[15] [17] [36]
10	Damien François	[10] [19] [37]
11	Philippe Grégoire	[1]
12	Jin Hao	[21] [24] [26] [31] [34]
13	Jaakko Hollmén	[22] [29]
14	Yongnan Ji	[21] [23] [26] [34]
15	Christian Jutten	[39] [50]
16	Tuomas Kärnä	[30] [40]
17	John Aldo Lee	[4] [5] [6] [7] [8] [9] [14]
18	Elia Liitiäinen	[28] [33] [38] [42] [43] [45] [49]
19	Bertrand Maillet	[44]
20	Paul Merlin	[44]
21	Yoan Miche	[27] [39] [46] [47] [50]
22	Erkki Oja	[35]
23	Nima Reyhani	[20] [21] [23] [26] [31] [33] [34]
24	Fabrice Rossi	[30] [37]
25	Benoit Roue	[27]
26	Geoffroy Simon	[11] [13] [15] [16] [17] [18] [36]
27	Olli Simula	[35] [39] [50]
28	Antti Sorjamaa	[20] [24] [25] [32] [34] [41] [44] [46] [47]
29	Jarkko Tikka	[22] [29]
30	Michel Verleysen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [23] [25] [31] [35] [36] [37] [49]
31	Robert Weiss	[46]
32	Vincent Wertz	[3] [4] [6] [7] [10] [12] [13] [16] [18] [19] [37]

Colors in the list of coauthors