Detecting sexual predators in chats using behavioral features and imbalanced learning*

Publisher： Cambridge University Press

E-ISSN： 1469-8110|23|4|589-616

ISSN： 1351-3249

Source： Natural Language Engineering, Vol.23, Iss.4, 2017-07, pp. : 589-616

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

2.5. Deep Transfer Learning Features

By  

International Journal of Computer Research, Vol. , Iss. , 2016-04 ,pp. : 25-25

Nova Science Publishers, Inc.

Access to resources Recommend Favorite

Detecting Themed Streets Using a Location Based Service Application

By Ji Byeongsuk   Lee Youngmin   Yu Kiyun   Kwon Pil  

ISPRS International Journal of Geo-Information, Vol. 5, Iss. 7, 2016-07 ,pp. : 111-111

MDPI

Access to resources Recommend Favorite

Detecting Ghost Targets Using Multilayer Perceptron in Multiple-Target Tracking

By Ryu In-hwan   Won Insu   Kwon Jangwoo  

Symmetry, Vol. 10, Iss. 1, 2018-01 ,pp. : 16-16

MDPI

Access to resources Recommend Favorite

Deep Learning Using Unconventional Paradigms

By  

International Journal of Computer Research, Vol. , Iss. , 2016-07 ,pp. : 63-72

Nova Science Publishers, Inc.

Access to resources Recommend Favorite

Deep Learning Using Genetic Algorithm

By  

International Journal of Computer Research, Vol. , Iss. , 2016-07 ,pp. : 68-68

Nova Science Publishers, Inc.

Access to resources Recommend Favorite