Our Method

By Imene Bensalem, Paolo Rosso, S. Chikhi. 1867

on na ap pr ro ou ud 1 1 1 1 2 3 2 Class 0 Class 1 Class 2 0.57 0.29 0.14 class 0 class 1 class 2 class 3 0.08 0.58 0.21 0.13 0.10 0.50 0.26 0.14 0.10 0.56 0.32 0.11 0.22 0.41 0.26 0.11 0.10 0.60 0.23 0.07 Character n-grams allowed for characterizing the writing style for authorship attribution and plagiarism direction. Character n-grams have been used in one of the best intrinsic plagiarism detection methods 1.

Subfields: ML Systems & Hardware

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Dahua Lin
2. Zhirong Wu
3. Ishan Misra
4. Yuanjun Xiong
5. Kaiming He
6. Xinlei Chen
7. Yonglong Tian
8. Stella X. Yu

Citations in the corpus

• Unsupervised Feature Learning via Non-parametric Instance Discrimination (2018, methodology): “The results of these methods are reported with AlexNet architecture [18] in their original papers, except for exemplar CNN [5], whose results are reported with ResNet-101 [3].”