Classifying sensitive content in online advertisements with deep learning
- 20 March 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in International Journal of Data Science and Analytics
- Vol. 10 (3), 265-276
- https://doi.org/10.1007/s41060-020-00212-6
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Image MattersPublished by Association for Computing Machinery (ACM) ,2018
- Smart Content Recognition from Images Using a Mixture of Convolutional Neural NetworksLecture Notes in Electrical Engineering, 2017
- Xception: Deep Learning with Depthwise Separable ConvolutionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Model Ensemble for Click Prediction in Bing Search AdsPublished by Association for Computing Machinery (ACM) ,2017
- Deep CTR Prediction in Display AdvertisingPublished by Association for Computing Machinery (ACM) ,2016
- Deep Residual Learning for Image RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Rethinking the Inception Architecture for Computer VisionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Detecting adversarial advertisements in the wildPublished by Association for Computing Machinery (ACM) ,2011
- Overfitting and neural networks: conjugate gradient and backpropagationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000