A Hybrid Framework for Personality Prediction based on Fuzzy Neural Networks and Deep Neural Networks

N. Taghvaei; B. Masoumi; M. R. Keyvanpour

Volume 9, Issue 3 , July 2021, , Pages 283-294

http://dx.doi.org/10.22044/jadm.2021.10583.2197

Abstract
  In general, humans are very complex organisms, and therefore, research into their various dimensions and aspects, including personality, has become an attractive subject of research. With the advent of technology, the emergence of a new kind of communication in the context of social networks has also ...  Read More

H.3. Artificial Intelligence
MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection

Z. Karimi Zandian; M. R. Keyvanpour

Volume 7, Issue 2 , April 2019, , Pages 213-224

http://dx.doi.org/10.22044/jadm.2018.6311.1746

Abstract
  Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods ...  Read More