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GANs for Semi-Supervised Opinion Spam Detection

GANs for Semi-Supervised Opinion Spam Detection

19 March 2019
Gray Stanton
Athirai Aravazhi Irissappane
ArXivPDFHTML

Papers citing "GANs for Semi-Supervised Opinion Spam Detection"

4 / 4 papers shown
Title
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
Lorenzo Mannocci
S. Cresci
A. Monreale
A. Vakali
Maurizio Tesconi
15
9
0
21 Sep 2022
A Review on Text-Based Emotion Detection -- Techniques, Applications,
  Datasets, and Future Directions
A Review on Text-Based Emotion Detection -- Techniques, Applications, Datasets, and Future Directions
Sheetal Kusal
S. Patil
J. Choudrie
K. Kotecha
D. Vora
I. Pappas
19
24
0
26 Apr 2022
Semi-supervised Conditional GAN for Simultaneous Generation and
  Detection of Phishing URLs: A Game theoretic Perspective
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective
Sharif Amit Kamran
S. Sengupta
Alireza Tavakkoli
GAN
AAML
33
6
0
04 Aug 2021
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data
  via Adversarial Training
Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training
Athirai Aravazhi Irissappane
Hanfei Yu
Yankun Shen
Anubha Agrawal
Gray Stanton
19
9
0
24 Dec 2020
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