| Detection of phishing attacks: A machine learning approach R Basnet, S Mukkamala, AH Sung Soft computing applications in industry, 373-383, 2008 | 309 | 2008 |
| Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance T Doleck, P Bazelais, DJ Lemay, A Saxena, RB Basnet Journal of Computers in Education, 1-15, 2017 | 226 | 2017 |
| Predictive analytics in education: a comparison of deep learning frameworks T Doleck, DJ Lemay, RB Basnet, P Bazelais Education and Information Technologies 25, 1951-1963, 2020 | 115 | 2020 |
| Feature selection for improved phishing detection RB Basnet, AH Sung, Q Liu Advanced Research in Applied Artificial Intelligence: 25th International …, 2012 | 94 | 2012 |
| Towards Detecting and Classifying Network Intrusion Traffic Using Deep Learning Frameworks RB Basnet, R Shash, CP Johnson, L Walgren, T Doleck Journal of Internet Services and Information Security 9 (4), 1-17, 2019 | 74 | 2019 |
| Rule-based phishing attack detection RB Basnet, AH Sung, Q Liu International conference on security and management (SAM 2011), Las Vegas, NV, 2011 | 74 | 2011 |
| A similarity measure for clustering and its applications GJ Torres, RB Basnet, AH Sung, S Mukkamala, BM Ribeiro Int J Electr Comput Syst Eng 3 (3), 164-170, 2009 | 70 | 2009 |
| Towards Detecting and Classifying Malicious URLs Using Deep Learning C Johnson, B Khadka, R Basnet, T Doleck Journal of Wireless Mobile Network, Ubiquitous Computing, and Dependable …, 2020 | 60 | 2020 |
| Learning to detect phishing URLs RB Basnet, AH Sung, Q Liu International Journal of Research in Engineering and Technology 3 (6), 11-24, 2014 | 60 | 2014 |
| Detection of virtual environments and low interaction honeypots S Mukkamala, K Yendrapalli, R Basnet, MK Shankarapani, AH Sung 2007 IEEE SMC Information Assurance and Security Workshop, 92-98, 2007 | 57 | 2007 |
| Classifying phishing emails using confidence-weighted linear classifiers RB Basnet, AH Sung International conference on information security and artificial intelligence …, 2010 | 56 | 2010 |
| Towards developing a tool to detect phishing URLs: A machine learning approach RB Basnet, T Doleck 2015 IEEE International Conference on Computational Intelligence …, 2015 | 49 | 2015 |
| Mining learner–system interaction data: implications for modeling learner behaviors and improving overlay models T Doleck, RB Basnet, EG Poitras, SP Lajoie Journal of Computers in Education 2, 421-447, 2015 | 39 | 2015 |
| Developing Next Generation of Innovators: Teaching Entrepreneurial Mindset Elements across Disciplines et. al. L. Nadelson, A. D. Nageswaran Palmer, T Benton, R. Basnet International Journal of Higher Educations 7 (5), 114-126, 2018 | 37 | 2018 |
| Feature Engineering and Machine Learning Model Comparison for Malicious Activity Detection in the DNS-Over-HTTPS Protocol M Behnke, N Briner, D Cullen, K Schwerdtfeger, J Warren, R Basnet, ... IEEE Access, 1-17, 2021 | 32 | 2021 |
| Dropout prediction in Moocs using deep learning and machine learning RB Basnet, C Johnson, T Doleck Education and Information Technologies 27 (8), 11499-11513, 2022 | 29 | 2022 |
| Mining web to detect phishing URLs RB Basnet, AH Sung 2012 11th International Conference on Machine Learning and Applications 1 …, 2012 | 27 | 2012 |
| Gene Selection for Tumor Classification Using Microarray Gene Expression Data. K Yendrapalli, RB Basnet, S Mukkamala, AH Sung World Congress on Engineering, 290-295, 2007 | 26 | 2007 |
| Instructional interventions for computational thinking: Examining the link between computational thinking and academic performance DJ Lemay, RB Basnet, T Doleck, P Bazelais, A Saxena Computers and Education Open 2, 100056, 2021 | 23 | 2021 |
| Exploring computer science students’ continuance intentions to use Kattis RB Basnet, T Doleck, DJ Lemay, P Bazelais Education and Information Technologies 23, 1145-1158, 2018 | 20 | 2018 |
Andrew H. SungThe University of Southern Mississippi在 usm.edu 的电子邮件经过验证
