P. Beauseroy

Tuning the Covariate Influence in a Gamma Process Clustering Algorithm

E. Grall-Maes, X Wang, P. Beauseroy, 2013 .

Join optimization of detectors’ fleet settings to maximize global detection power

P. Beauseroy, E. Grall-Maёs, 2018 .

Feature extraction from stochastic process samples

E. Grall-Maes, P. Beauseroy, 2001, ISPA 2001. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis. In conjunction with 23rd International Conference on Information Technology Interfaces (IEEE Cat..

Potato defects classification and localization with convolutional neural networks

P. Beauseroy, S. Marino, A. Smolarz, 2019, International Conference on Quality Control by Artificial Vision.

Real shape inner iris boundary segmentation using active contour without edges

P. Beauseroy, B. Daya, A. Hilal, 2012, 2012 International Conference on Audio, Language and Image Processing.

A multiclass decision rule minimizing a loss function based on one class SVM

E. Grall-Maes, P. Beauseroy, N. Jrad, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Data driven feature extraction based on parameterized transformations of representation space

E. Grall-Maes, P. Beauseroy, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Nearest-neighbour ensembles in lasso feature subspaces

P. Beauseroy, Xiyan He, André Smolarz, 2010 .

Features extraction for signal classification based on Wigner-Ville distribution and mutual information criterion

E. Grall-Maes, P. Beauseroy, 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

Elimination of cross-components of the discrete Wigner-Ville distribution via a correlation method

E. Grall-Maes, P. Beauseroy, P. Beauseroy, 1996, Proceedings of Third International Conference on Signal Processing (ICSP'96).