Publications
Select List of Journals and Conferences (Peer-Reviewed)
Student co-authors are underlined
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Improved Big Data Stock Index Prediction Using Deep Learning with CNN and GRU
Jithin Eapen, Abhishek Verma, and Doina Bein
International Journal of Big Data Intelligence, 2021 -
Predictive Analytics of Donors in crowdfunding platforms: A case study on Donorschoose.org
J. V. Dirisam, Doina Bein, and Abhishek Verma
The 11th IEEE Annual Computing and Communication Workshop and Conference (CCWC), Jan. 27-30, 2021, Las Vegas, NV, USA. -
Traffic Sign Detection and Recognition using Deep Learning
Rudri Mahesh Oza, Angelina Geisen, and Taehyung Wang
IEEE International Conference on Artificial Intelligence for Industries (2021 ai4i), Virtual, September 20-22, 2021 -
Hybrid and Ensemble-Based Personalized Recommender System - Solving Data Sparsity Problem
Akshay Shukla, Lousia Manoael, and Taehyung Wang
IEEE International Conference on Transdisciplinary AI (2021 TransAI), Virtual, September 20-22, 2021 -
The Race-Timing Prototype
A. R. H. Coronado, Wonjun Lee, W. Lin
Proceedings of the 18th IEEE International Conference on Privacy, Security, and Trust (PST2021), Auckland, New Zealand, Dec. 2021 -
A Review on Learning-based Detection Approaches of the Kernel-level Rootkit
M. Nadim, Wonjun Lee, D. Akopian
Proceedings of the 7th International Conference on Engineering and Emerging Technologies (ICEET), Istanbul, Turkey, Oct. 2021 -
Branchboozle: A Side-Channel within the Selection Logic of Modern Branch Prediction Units
A. R. H. Coronado, Wonjun Lee, W. Lin
The 36th ACM/SIGAPP Symposium on Applied Computing (SAC-21), Gwangju, South Korea. Mar. 2021 -
Characteristic Features of the Kernel-level Rootkit for Learning-based Detection Model Training
M. Nadim, Wonjun Lee, D. Akopian
IS&T Electronic Imaging – Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Application Conference (MOBMU-21), On-line, Jan. 2021