Amaury Lendasse

	2011
86		Jozsef Hegedus, Yoan Miche, Alexander Ilin, Amaury Lendasse: Methodology for Behavioral-based Malware Analysis and Detection Using Random Projections and K-Nearest Neighbors Classifiers. CIS 2011: 1016-1023
85		Federico Montesino-Pouzols, Amaury Lendasse: Adaptive Kernel Smoothing Regression for Spatio-Temporal Environmental Datasets. ESANN 2011
84		Li Yao, Amaury Lendasse, Francesco Corona: Locating Anomalies Using Bayesian Factorizations and Masks. ESANN 2011
83		Elia Liitiäinen, Francesco Corona, Amaury Lendasse: On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions. Neural Processing Letters 34(2): 133-154 (2011)
82		Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse: TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing 74(16): 2413-2421 (2011)
81		Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse: GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 74(16): 2430-2437 (2011)
	2010
80		Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin, Amaury Lendasse: Ensembles of Locally Linear Models: Application to Bankruptcy Prediction. DMIN 2010: 280-286
79		Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, Michel Verleysen: Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. ESANN 2010
78		Yoan Miche, Benjamin Schrauwen, Amaury Lendasse: Machine Learning Techniques based on Random Projections. ESANN 2010
77		Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse: Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN 2010
76		Federico Montesino-Pouzols, Amaury Lendasse: Evolving fuzzy Optimally Pruned Extreme Learning Machine: A comparative analysis. FUZZ-IEEE 2010: 1-8
75		Federico Montesino-Pouzols, Amaury Lendasse: Effect of different detrending approaches on computational intelligence models of time series. IJCNN 2010: 1-8
74		Elina Parviainen, Jaakko Riihimäki, Yoan Miche, Amaury Lendasse: Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network. KDIR 2010: 65-73
73		Federico Montesino-Pouzols, Amaury Lendasse, Angel Barriga Barros: Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation. Fuzzy Sets and Systems 161(4): 471-497 (2010)
72		Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse: OP-ELM: optimally pruned extreme learning machine. IEEE Transactions on Neural Networks 21(1): 158-162 (2010)
71		Elia Liitiäinen, Francesco Corona, Amaury Lendasse: Residual variance estimation using a nearest neighbor statistic. J. Multivariate Analysis 101(4): 811-823 (2010)
70		Amaury Lendasse, Timo Honkela, Olli Simula: European Symposium on Times Series Prediction. Neurocomputing 73(10-12): 1919-1922 (2010)
69		Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas: New method for instance or prototype selection using mutual information in time series prediction. Neurocomputing 73(10-12): 2030-2038 (2010)
68		Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse: X-SOM and L-SOM: A double classification approach for missing value imputation. Neurocomputing 73(7-9): 1103-1108 (2010)
67		Elia Liitiäinen, Amaury Lendasse, Francesco Corona: A boundary corrected expansion of the moments of nearest neighbor distributions. Random Struct. Algorithms 37(2): 223-247 (2010)
	2009
66		Yoan Miche, Amaury Lendasse: A faster model selection criterion for OP-ELM and OP-KNN: Hannan-Quinn criterion. ESANN 2009
65		Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas: Applying Mutual Information for Prototype or Instance Selection in Regression Problems. ESANN 2009
64		Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse: X-SOM and L-SOM: a nested approach for missing value imputation. ESANN 2009
63		Alberto Guillén, Antti Sorjamaa, Ginés Rubio, Amaury Lendasse, Ignacio Rojas: Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems. ICANN (1) 2009: 1-9
62		Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse: Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. ICANN (2) 2009: 305-314
61		Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse: Long-term prediction of time series by combining direct and MIMO strategies. IJCNN 2009: 3054-3061
60		Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Ignacio Rojas: Efficient Parallel Feature Selection for Steganography Problems. IWANN (1) 2009: 1224-1231
59		Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés, Amaury Lendasse: RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks. IWANN (1) 2009: 359-366
58		Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse: Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database. WSOM 2009: 290-297
57		Tuomas Kärnä, Amaury Lendasse: Functional Dimension Reduction for Chemometrics. Encyclopedia of Artificial Intelligence 2009: 661-666
56		Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula: Reliable Steganalysis Using a Minimum Set of Samples and Features. EURASIP J. Information Security 2009: (2009)
55		Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse: Residual variance estimation in machine learning. Neurocomputing 72(16-18): 3692-3703 (2009)
54		Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Lorenzo Sassu, Stefano Melis, Roberto Baratti: A SOM-based approach to estimating product properties from spectroscopic measurements. Neurocomputing 73(1-3): 71-79 (2009)
	2008
53		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
52		Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen: Using the Delta Test for Variable Selection. ESANN 2008: 25-30
51		Amaury Lendasse, Francesco Corona: Linear Projection based on Noise Variance Estimation - Application to Spectral Data. ESANN 2008: 457-462
50		Federico Montesino-Pouzols, Amaury Lendasse, Angel Barriga Barros: Fuzzy inference based autoregressors for time series prediction using nonparametric residual variance estimation. FUZZ-IEEE 2008: 613-618
49		Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Eric Séverin, Alberto Guillén, Fernando Mateo: Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling. HIS 2008: 764-769
48		Yoan Miche, Antti Sorjamaa, Amaury Lendasse: OP-ELM: Theory, Experiments and a Toolbox. ICANN (1) 2008: 145-154
47		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
46		Alberto Guillén, Dusan Sovilj, Amaury Lendasse, Fernando Mateo, Ignacio Rojas: Minimising the delta test for variable selection in regression problems. IJHPSA 1(4): 269-281 (2008)
45		Elia Liitiäinen, Francesco Corona, Amaury Lendasse: On Nonparametric Residual Variance Estimation. Neural Processing Letters 28(3): 155-167 (2008)
	2007
44		Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Amaury Lendasse: SOM+EOF for finding missing values. ESANN 2007: 115-120
43		Elia Liitiäinen, Francesco Corona, Amaury Lendasse: Nearest Neighbor Distributions and Noise Variance Estimation. ESANN 2007: 67-72
42		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		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		Tuomas Kärnä, Amaury Lendasse: Gaussian Fitting Based FDA for Chemometrics. IWANN 2007: 186-193
39		Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, Olli Simula: Advantages of Using Feature Selection Techniques on Steganalysis Schemes. IWANN 2007: 606-613
38		Elia Liitiäinen, Amaury Lendasse, Francesco Corona: Non-parametric Residual Variance Estimation in Supervised Learning. IWANN 2007: 63-71
37		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		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		Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen: Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007)
34		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		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		Antti Sorjamaa, Amaury Lendasse: Time series prediction using DirRec strategy. ESANN 2006: 143-148
31		Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen: Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232
30		Tuomas Kärnä, Fabrice Rossi, Amaury Lendasse: LS-SVM functional network for time series prediction. ESANN 2006: 473-478
29		Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén: Analysis of Fast Input Selection: Application in Time Series Prediction. ICANN (2) 2006: 161-170
28		Elia Liitiäinen, Amaury Lendasse: Long-Term Prediction of Time Series Using State-Space Models. ICANN (2) 2006: 181-190
27		Yoan Miche, Benoit Roue, Amaury Lendasse, Patrick Bas: A Feature Selection Methodology for Steganalysis. MRCS 2006: 49-56
	2005
26		Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse: Mutual information and gamma test for input selection. ESANN 2005: 503-508
25		Antti Sorjamaa, Amaury Lendasse, Michel Verleysen: Pruned lazy learning models for time series prediction. ESANN 2005: 509-514
24		Antti Sorjamaa, Jin Hao, Amaury Lendasse: Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction. ICANN (2) 2005: 553-558
23		Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen: LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) 2005: 625-630
22		Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse: Input Selection for Long-Term Prediction of Time Series. IWANN 2005: 1002-1009
21		Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse: Direct and Recursive Prediction of Time Series Using Mutual Information Selection. IWANN 2005: 1010-1017
20		Antti Sorjamaa, Nima Reyhani, Amaury Lendasse: Input and Structure Selection for k-NN Approximator. IWANN 2005: 985-992
19		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		Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap methodology for regression model selection. Neurocomputing 64: 161-181 (2005)
17		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		Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen: Fast bootstrap for least-square support vector machines. ESANN 2004: 525-530
15		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		John Aldo Lee, Amaury Lendasse, Michel Verleysen: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004)
	2003
13		Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen: Fast approximation of the bootstrap for model selection. ESANN 2003: 475-480
12		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		Geoffroy Simon, Amaury Lendasse, Michel Verleysen: Bootstrap for Model Selection: Linear Approximation of the Optimism. IWANN (1) 2003: 182-189
10		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		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		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		John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen: A robust non-linear projection method. ESANN 2000: 13-20
4		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		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		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	Roberto Baratti	[54]
3	Angel Barriga Barros	[50] [73]
4	Patrick Bas	[27] [39] [53] [56] [72] [79] [82]
5	Nabil Benoudjit	[8]
6	Eric de Bodt	[1] [2] [6]
7	Gianluca Bontempi	[61]
8	Francesco Corona	[31] [38] [43] [45] [51] [52] [54] [55] [58] [67] [71] [83] [84]
9	Marie Cottrell	[1] [15] [17] [36]
10	Nicolas Donckers	[3] [5]
11	Emil Eirola	[52] [79] [80]
12	Jean-Claude Fort	[15] [17] [36]
13	Damien François	[10] [19] [37]
14	Rafael Gadea Gironés	[59]
15	Philippe Grégoire	[1]
16	Alberto Guillén	[46] [49] [60] [63] [65] [69]
17	Jin Hao	[21] [24] [26] [31] [34]
18	Mark van Heeswijk	[62] [77] [81] [82]
19	Jozsef Hegedus	[86]
20	Luis Javier Herrera	[65] [69]
21	Peter A. J. Hilbers	[62]
22	Jaakko Hollmén	[22] [29]
23	Timo Honkela	[62] [70]
24	Alexander Ilin	[86]
25	Yongnan Ji	[21] [23] [26] [34]
26	Christian Jutten	[39] [53] [56] [72] [79]
27	Laura Kainulainen	[80]
28	Tuomas Kärnä	[30] [40] [57]
29	John Aldo Lee	[4] [5] [6] [7] [8] [9] [14]
30	Elia Liitiäinen	[28] [33] [38] [42] [43] [45] [52] [54] [55] [67] [71] [83]
31	Tiina Lindh-Knuutila	[62]
32	Bertrand Maillet	[44] [58] [64] [68]
33	Fernando Mateo	[46] [49] [59]
34	Stefano Melis	[54]
35	Paul Merlin	[44] [58] [64] [68]
36	Yoan Miche	[27] [39] [47] [48] [49] [53] [56] [58] [60] [62] [66] [72] [74] [77] [78] [79] [80] [81] [82] [86]
37	Federico Montesino-Pouzols	[50] [73] [75] [76] [85]
38	Erkki Oja	[35] [62] [77] [81]
39	Elina Parviainen	[74]
40	Héctor Pomares	[65] [69]
41	Nima Reyhani	[20] [21] [23] [26] [31] [33] [34]
42	Jaakko Riihimäki	[74]
43	Fabrice Rossi	[30] [37]
44	Benoit Roue	[27]
45	Ginés Rubio	[63] [65] [69]
46	Ignacio Rojas Ruiz (Ignacio Rojas)	[46] [60] [63] [65] [69]
47	Lorenzo Sassu	[54]
48	Benjamin Schrauwen	[78]
49	Eric Séverin	[49] [58] [80]
50	Geoffroy Simon	[11] [13] [15] [16] [17] [18] [36]
51	Olli Simula	[35] [39] [53] [56] [70] [72] [79] [82]
52	Antti Sorjamaa	[20] [24] [25] [32] [34] [41] [44] [47] [48] [49] [58] [60] [61] [63] [64] [68] [72]
53	Dusan Sovilj	[46] [59]
54	Souhaib Ben Taieb	[61]
55	Jarkko Tikka	[22] [29]
56	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] [52] [55] [79]
57	Robert Weiss	[47]
58	Vincent Wertz	[3] [4] [6] [7] [10] [12] [13] [16] [18] [19] [37]
59	Li Yao	[84]
60	Qi Yu	[49] [80]

Colors in the list of coauthors

Last update Sun Jun 3 16:06:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page