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Peng Xu
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Zitiert von
Zitiert von
Jahr
Anomaly detection for skin disease images using variational autoencoder
Y Lu, P Xu
arXiv preprint arXiv:1807.01349, 2018
942018
Equivalence between dropout and data augmentation: A mathematical check
D Zhao, G Yu, P Xu, M Luo
Neural Networks 115, 82-89, 2019
312019
The refinement of a Q-matrix: Assessing methods to validate tasks to skills mapping
M Desmarais, B Beheshti, P Xu
Educational Data Mining 2014, 2014
262014
Combining Techniques to Refine Item to Skills Q-Matrices with a Partition Tree.
MC Desmarais, P Xu, B Beheshti
International Educational Data Mining Society, 2015
132015
Boosted Decision Tree for Q-Matrix Refinement.
P Xu, MC Desmarais
International Educational Data Mining Society, 2016
112016
An Empirical Research on Identifiability and Q-Matrix Design for DINA Model.
P Xu, MC Desmarais
International Educational Data Mining Society, 2018
52018
–Methods to Refine the Mapping of Items to Skills
MC Desmarais, P Xu
Design Recommendations for Intelligent Tutoring Systems 39, 2018
12018
Boosting Image Recognition with Non-differentiable Constraints
X Li, Y Lu, P Xu, J Peng, C Desrosiers, X Liu
arXiv preprint arXiv:1910.00736, 2019
2019
Q-matrix Refinement, Design and Derivation
P Xu
Ecole Polytechnique, Montreal (Canada), 2019
2019
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