E-LIB Suche - Ergebnisse für: Beauseroy, Pierre

1

Missing body measurements prediction in fashion industry: a..:

Meyer, Philippe ; Birregah, Babiga ; Beauseroy, Pierre..
Fashion and Textiles. 10 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..

2

A Fully Automatic and Efficient Methodology for Peptide Act..:

Alwan, Azzam ; Cogranne, Remi ; Beauseroy, Pierre...
IEEE Access. 9 (2021) - p. 92143-92156 , 2021

Link: https://doi.org/10.1109/..

3

X‐ray microtomography reveals a lattice‐like network within..:

Ben Zemzem, Aïcha ; Genevaux, Aline ; Wahart, Amandine...
The FASEB Journal. 35 (2021) 10 - p. , 2021

Link: https://doi.org/10.1096/..

4

Sequential detection of a total instantaneous blockage occu..:

Nikiforov, Igor ; Harrou, Fouzi ; Cogranne, Rémi...
Nuclear Engineering and Design. 366 (2020) - p. 110733 , 2020

Link: https://doi.org/10.1016/..

5

Reliable leak detection in a heat exchanger of a sodium-coo..:

Guépié, Blaise Kévin ; Grall-Maës, Edith ; Beauseroy, Pierre..
Annals of Nuclear Energy. 142 (2020) - p. 107357 , 2020

Link: https://doi.org/10.1016/..

6

Coupled Mass-Spectrometry-Based Lipidomics Machine Learning..:

Manzi, Malena ; Palazzo, Martín ; Knott, María Elena...
Journal of Proteome Research. 20 (2020) 1 - p. 841-857 , 2020

Link: https://doi.org/10.1021/..

7

Unsupervised adversarial deep domain adaptation method for ..:

Marino, Sofia ; Beauseroy, Pierre ; Smolarz, André
Computers and Electronics in Agriculture. 174 (2020) - p. 105501 , 2020

Link: https://doi.org/10.1016/..

8

Weakly-supervised learning approach for potato defects segm..:

Marino, Sofia ; Beauseroy, Pierre ; Smolarz, André
Engineering Applications of Artificial Intelligence. 85 (2019) - p. 337-346 , 2019

Link: https://doi.org/10.1016/..

9

A pan-cancer somatic mutation embedding using autoencoders:

Palazzo, Martin ; Beauseroy, Pierre ; Yankilevich, Patricio
BMC Bioinformatics. 20 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

10

Traffic flow estimation using acoustic signal:

Lefebvre, Nicolas ; Chen, Xiandong ; Beauseroy, Pierre.
Engineering Applications of Artificial Intelligence. 64 (2017) - p. 164-171 , 2017

Link: https://doi.org/10.1016/..

11

One-Class Classification Framework Based on Shrinkage Metho..:

Nader, Patric ; Honeine, Paul ; Beauseroy, Pierre
Journal of Signal Processing Systems. 90 (2017) 3 - p. 341-356 , 2017

Link: https://doi.org/10.1007/..

12

Transfer learning for one class SVM adaptation to limited d..:

Xue, Yongjian ; Beauseroy, Pierre
Pattern Recognition Letters. 100 (2017) - p. 117-123 , 2017

Link: https://doi.org/10.1016/..

13

Theoretical properties and implementation of the one-sided ..:

Chrysanthos, Nicolas ; Beauseroy, Pierre ; Snoussi, Hichem.
Neurocomputing. 169 (2015) - p. 196-204 , 2015

Link: https://doi.org/10.1016/..

14

Multi-task learning with one-class SVM:

He, Xiyan ; Mourot, Gilles ; Maquin, Didier...
Neurocomputing. 133 (2014) - p. 416-426 , 2014

Link: https://doi.org/10.1016/..

15

${l_p}$-norms in One-Class Classification for Intrusion Det..:

Nader, Patric ; Honeine, Paul ; Beauseroy, Pierre
IEEE Transactions on Industrial Informatics. 10 (2014) 4 - p. 2308-2317 , 2014

Link: https://doi.org/10.1109/..