| Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features S Bagui, X Fang, E Kalaimannan, SC Bagui, J Sheehan Journal of Cyber Security Technology 1 (2), 108-126, 2017 | 99 | 2017 |
| Tetrahydroisoquinoline derivatives as highly selective and potent Rho kinase inhibitors X Fang, Y Yin, YT Chen, L Yao, B Wang, MD Cameron, L Lin, S Khan, ... Journal of medicinal chemistry 53 (15), 5727-5737, 2010 | 69 | 2010 |
| Synthesis and biological evaluation of 4-quinazolinones as Rho kinase inhibitors X Fang, YT Chen, EH Sessions, S Chowdhury, T Vojkovsky, Y Yin, ... Bioorganic & medicinal chemistry letters 21 (6), 1844-1848, 2011 | 32 | 2011 |
| On the 6-exo atom transfer radical cyclization reactions of 3-butenyl 2-iodoalkanoates X Fang, H Xia, H Yu, X Dong, M Chen, Q Wang, F Tao, C Li The Journal of Organic Chemistry 67 (24), 8481-8488, 2002 | 24 | 2002 |
| Amino acid derived quinazolines as Rock/PKA inhibitors S Chowdhury, YT Chen, X Fang, W Grant, J Pocas, MD Cameron, C Ruiz, ... Bioorganic & medicinal chemistry letters 23 (6), 1592-1599, 2013 | 16 | 2013 |
| Asymmetric synthesis of potent chroman-based Rho kinase (ROCK-II) inhibitors YT Chen, T Vojkovsky, X Fang, JR Pocas, W Grant, AMW Handy, ... MedChemComm 2 (1), 73-75, 2011 | 16 | 2011 |
| Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models X Fang, S Bagui, S Bagui Computational biology and chemistry 69, 110-119, 2017 | 15 | 2017 |
| An improved step counting algorithm using classification and double autocorrelation S Bagui, X Fang, S Bagui, J Wyatt, P Houghton, J Nguyen, J Schneider, ... International Journal of Computers and Applications 44 (3), 250-259, 2022 | 8 | 2022 |
| Ontological support for the evolution of future services oriented architectures B Gonen, X Fang, E El-Sheikh, S Bagui, N Wilde, A Zimmermann Transactions on machine learning and artificial intelligence 2 (6), 77-90, 2014 | 7 | 2014 |
| Compression of time evolutionary image data through predictive deep neural networks R Roy, K Sato, S Bhattachrya, X Fang, Y Joti, T Hatsui, TN Hiraki, J Guo, ... 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021 | 5 | 2021 |
| Using Python to solve the Navier-stokes equations-applications in the preconditioned iterative methods J Liu, L Wu, X Fang | 5 | 2015 |
| Anilides and analogs as rho kinase inhibitors Y Feng, P LoGrasso, T Bannister, T Schroeter, X Fang, Y ting Chen, Y Yin, ... US Patent App. 12/808,052, 2011 | 5 | 2011 |
| Accurate classification of depression through optimized machine learning models on high-dimensional noisy data X Fang, J Klawohn, A De Sabatino, H Kundnani, J Ryan, W Yu, G Hajcak Biomedical Signal Processing and Control 71, 103237, 2022 | 3 | 2022 |
| Maintaining SOA Systems of the Future-How Can Ontological Modeling Help? B Gonen, X Fang, E El-Sheikh, S Bagui, N Wilde, A Zimmermann, I Petrov International Conference on Knowledge Engineering and Ontology Development 2 …, 2014 | 2 | 2014 |
| Development of Rho kinase inhibitors for the treatment of glaucoma Y Feng, P LoGrasso, Y Yin, YT Chen, X Fang, S Chowdhury, TD Bannister, ... ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 240, 2010 | | 2010 |
| Semantic Traversing Documents by Using Semantic Relationships B Gonen, X Fang, E El-Sheikh, S Bagui, N Wilde Student Scholars Symposium & Faculty Research Showcase, 0 | | |
Ezhil KalaimannanUniversity of West FloridaVerifierad e-postadress på uwf.edu
