| Probability and stochastic processes I Florescu John Wiley & Sons, 2014 | 128 | 2014 |
| A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees P Golbayani, I Florescu, R Chatterjee The North American Journal of Economics and Finance 54, 101251, 2020 | 90 | 2020 |
| Stochastic volatility: option pricing using a multinomial recombining tree I Florescu, FG Viens Applied Mathematical Finance 15 (2), 151-181, 2008 | 74 | 2008 |
| An adaptive background model for camshift tracking with a moving camera R Stolkin, I Florescu, G Kamberov Advances In Pattern Recognition, 147-151, 2007 | 72 | 2007 |
| Long correlations and Levy models applied to the study of memory effects in high frequency (tick) data MC Mariani, I Florescu, MPB Varela, E Ncheuguim Physica A: Statistical Mechanics and its Applications 388 (8), 1659-1664, 2009 | 61 | 2009 |
| An appraisal of the classic forest succession paradigm with the shade tolerance index J Lienard, I Florescu, N Strigul PLoS One 10 (2), e0117138, 2015 | 55 | 2015 |
| Efficient visual servoing with the ABCshift tracking algorithm R Stolkin, I Florescu, M Baron, C Harrier, B Kocherov 2008 IEEE International Conference on Robotics and Automation, 3219-3224, 2008 | 55 | 2008 |
| Real-time tracking of non-rigid objects in image sequences for which the background may be changing R Stolkin, I Florescu US Patent 8,374,388, 2013 | 45 | 2013 |
| Modelling of forest stand dynamics using Markov chains N Strigul, I Florescu, AR Welden, F Michalczewski Environmental Modelling & Software 31, 64-75, 2012 | 38 | 2012 |
| Application of deep neural networks to assess corporate credit rating P Golbayani, D Wang, I Florescu arXiv preprint arXiv:2003.02334, 2020 | 36 | 2020 |
| Probability of detection and optimal sensor placement for threshold based detection systems R Stolkin, I Florescu IEEE Sensors Journal 9 (1), 57-60, 2008 | 36 | 2008 |
| Handbook of probability I Florescu, CA Tudor John Wiley & Sons, 2013 | 32 | 2013 |
| Study of memory effects in international market indices MC Mariani, I Florescu, MPB Varela, E Ncheuguim Physica A: Statistical Mechanics and its Applications 389 (8), 1653-1664, 2010 | 32 | 2010 |
| Bayesian fusion of thermal and visible spectra camera data for region based tracking with rapid background adaptation R Stolkin, D Rees, M Talha, I Florescu 2012 IEEE International Conference on Multisensor Fusion and Integration for …, 2012 | 29 | 2012 |
| Detecting market crashes by analysing long-memory effects using high-frequency data E Barany, MPB Varela, I Florescu, I Sengupta Quantitative Finance 12 (4), 623-634, 2012 | 28 | 2012 |
| Sharp estimation of the almost-sure Lyapunov exponent for the Anderson model in continuous space I Florescu, F Viens Probability theory and related fields 135, 603-644, 2006 | 27 | 2006 |
| Synergy repetition training versus task repetition training in acquiring new skill V Patel, J Craig, M Schumacher, MK Burns, I Florescu, R Vinjamuri Frontiers in bioengineering and biotechnology 5, 9, 2017 | 26 | 2017 |
| Cluster analysis of liquidity measures in a stock market using high frequency data A Salighehdar, Y Liu, D Bozdog, I Florescu Journal of Management Science and Business Intelligence 2 (2), 1-8, 2017 | 25 | 2017 |
| Numerical schemes for option pricing in regime-switching jump diffusion models I Florescu, R Liu, MC Mariani, G Sewell International Journal of Theoretical and Applied Finance 16 (08), 1350046, 2013 | 25 | 2013 |
| Tools for change: An examination of transformative learning and its precursor steps in undergraduate students S Brock, I Florescu, L Teran International Scholarly Research Notices 2012 (1), 234125, 2012 | 25 | 2012 |
Maria C MarianiChair and Professor of Mathematics, University of Texas at El Paso在 utep.edu 的电子邮件经过验证
