Author of the publication

Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation.

, , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 1043-1050. Springer, (2005)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach., , , , , , and . ISDA, page 237-241. IEEE, (2010)Evaluation of Fitting Functions for the Saccade Velocity Profile in Electrooculographic Records., , , , , , , and . IWANN (2), volume 9095 of Lecture Notes in Computer Science, page 592-600. Springer, (2015)Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation., , , , and . ESANN, page 137-142. (2003)Automatic Glissade Determination Through a Mathematical Model in Electrooculographic Records., , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 546-556. (2017)Lattice ICA for the separation of speech signals., , , , , and . ESANN, page 337-342. (2004)Evaluation of Algorithms for Automatic Classification of Heart Sound Signals., , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 536-545. (2017)Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation., , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 1043-1050. Springer, (2005)Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS., , , , and . ICA, volume 3195 of Lecture Notes in Computer Science, page 758-765. Springer, (2004)Automatic glissade determination through a mathematical model in electrooculographic records., , , , and . CoRR, (2021)Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network., , , and . ESANN, page 145-150. (2005)