Thai Le
Title
Cited by
Cited by
Year
“Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content
MD Molina, SS Sundar, T Le, D Lee
American Behavioral Scientist, 2019
212019
Deep headline generation for clickbait detection
K Shu, S Wang, T Le, D Lee, H Liu
2018 IEEE International Conference on Data Mining (ICDM), 467-476, 2018
192018
Machine learning based detection of clickbait posts in social media
X Cao, T Le
arXiv preprint arXiv:1710.01977, 2017
122017
An Innovative Tour Recommendation System for Tourists in Japan
Q Thai LE, D PISHVA
The 17th International Conference on Advanced Communications Technology …, 2015
122015
Application of Web Scraping and Google API Service to Optimize Convenience Stores' Distribution
Q Thai LE, D PISHVA
The 17th International Conference on Advanced Communications Technology …, 2015
92015
Application of artificial neural network in social media data analysis: a case of lodging business in Philadelphia
T Le, P Pardo, W Claster
Artificial Neural Network Modelling, 369-376, 2016
72016
A Machine Learning Framework for Automating Well Log Depth Matching
SZDH Lin Liang, Thai Le, Timon Zimmermann
SPWLA 60th Annual Logging Symposium, 2019
62019
How gullible are you? Predicting susceptibility to fake news
TJ Shen, R Cowell, A Gupta, T Le, A Yadav, D Lee
Proceedings of the 10th ACM Conference on Web Science, 287-288, 2019
32019
Knowledge Transfer in the Tourism Industry: Implications of the use of Social Media in Business Analysis
M Cooper, LEQ Thai, W Claster, K Vafadari, P Pardo
2015 Global Conference Tourism Intelligence in Action, 2015
32015
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction
T Le, S Wang, D Lee
26th ACM SIGKDD International Conference on Knowledge Discovery & Data …, 2020
22020
Implication of Social Media Data in Business Analysis: A Case in Lodging Industry.
W Claster, LQ Thai, P Pardo
APUGSM 2015 Conference, 0
2*
A Machine-Learning Framework for Automating Well-Log Depth Matching
T Le, L Liang, T Zimmermann, S Zeroug, D Heliot
Petrophysics 60 (05), 585-595, 2019
12019
5 Sources of Clickbaits You Should Know! Using Synthetic Clickbaits to Improve Prediction and Distinguish between Bot-Generated and Human-Written Headlines
L T., S K., M M.D., L D., S Sundar S., L H.
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
1*2019
Detecting Universal Trigger's Adversarial Attack with Honeypot
T Le, N Park, D Lee
https://arxiv.org/abs/2011.10492, 2020
2020
SIENA: Stochastic Multi-Expert Neural Patcher
T Le, N Park, D Lee
2020
Authorship Attribution for Neural Text Generation
A Uchendu, T Le, K Shu, D Lee
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
2020
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
T Le, S Wang, D Lee
20th IEEE International Conference on Data Mining (ICDM), 2020
2020
PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond
J Zhang, T Le, Y Liao, D Lee
2019 International Conference on Data Mining Workshops (ICDMW), 1122-1125, 2019
2019
Effects of Bandwagon Cues and Automated Journalism on Reading, Commenting and Sharing of Real vs. False Information Online
M Molina, J Wang, T Le, DiRusso, Carlina, Sundar, S Shyam
Conference of the Association for Education in Journalism and Mass …, 2019
2019
Optimization of Convenience Stores Distribution System with Web Scraping and Google API Service
Q Thai LE, D PISHVA
ICACT Transactions on Advanced Communications Technology (ICACT-TACT) 4 (2 …, 2015
2015
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Articles 1–20