Amanote Research

Amanote Research

    RegisterSign In

Deep Learning-Based Model to Fight Against Ad Click Fraud

doi 10.1145/3299815.3314453
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2019

Authors
G. S. ThejasKianoosh G. BoroojeniKshitij ChandnaIsha BhatiaS. S. IyengarN. R. Sunitha
Publisher

ACM Press


Related search

An Efficient Ad-Click Prediction System Using Machine Learning Techniques

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2020English

A Collaborative Filtering Approach to Ad Recommendation Using the Query-Ad Click Graph

2009English

Deep Learning Based, a New Model for Video Captioning

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

pDCs Take a Deep Breath to Fight Viruses

Immunity
Infectious DiseasesAllergyImmunology
2016English

Interferons Command Trim22 to Fight Against Viruses

Cellular and Molecular Immunology
Infectious DiseasesMedicineAllergyImmunology
2017English

Dendritic Cell-Based Approaches in the Fight Against Diseases

Frontiers in Immunology
AllergyImmunology
2014English

Chile’s Fight Against Obesity

Current Research in Diabetes & Obesity Journal
2018English

The Fight Against Tuberculosis

Academic Medicine
MedicineEducation
1952English

Deep Tweets Analyzer Model for Twitter Mood Visualization and Prediction Based Deep Learning Approach

International Journal of Computer and Communication Engineering
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy