Pin‐Han Ho
Biographic Data
| ID | 10950829 |
|---|---|
| NAME | Pin‐Han Ho |
| GIVEN NAMES | Pin‐Han |
| FAMILY NAME | Ho |
| SIGNATURE | HO P H |
| AFFILIATIONS | University of Waterloo |
| ORCID | 0000-0002-0717-1481 |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
DeeProBot
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…
DeeProBot
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…
DeeProBot
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one's opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to class…
Advanced Malware Detection Techniques (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Data mining (1 work) · Machine learning (1 work) · Misinformation and Its Impacts (1 work) · Social media (1 work) · Spam and Phishing Detection (1 work) · World Wide Web (1 work)