A real-time self-adaptive classifier for identifying suspicious bidders in online auctions BJ Ford, H Xu, I Valova The Computer Journal 56 (5), 646-663, 2013 | 45 | 2013 |
Hadamard-based image decomposition and compression I Valova, Y Kosugi IEEE Transactions on Information Technology in Biomedicine 4 (4), 306-319, 2000 | 38 | 2000 |
CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps D Beaton, I Valova, D MacLean Neurocomputing 73 (10-12), 2147-2159, 2010 | 37 | 2010 |
A parallel growing architecture for self-organizing maps with unsupervised learning I Valova, D Szer, N Gueorguieva, A Buer Neurocomputing 68, 177-195, 2005 | 37 | 2005 |
M&MFCM: fuzzy c-means clustering with mahalanobis and minkowski distance metrics N Gueorguieva, I Valova, G Georgiev Procedia computer science 114, 224-233, 2017 | 29 | 2017 |
Initialization Issues in Self-organizing Maps I Valova, G Georgiev, N Gueorguieva, J Olson Procedia Computer Science 20, 52-57, 2013 | 26 | 2013 |
Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition I Valova, G Milano, K Bowen, N Gueorguieva Applied Intelligence 35 (2), 211-225, 2011 | 25 | 2011 |
Identifying Suspicious Bidders Utilizing Hierarchical Clustering and Decision Trees. BJ Ford, H Xu, I Valova IC-AI, 195-201, 2010 | 25 | 2010 |
Optimization of Convolutional Neural Networks for Imbalanced Set Classification I Valova, C Harris, T Mai, N Gueorguieva Procedia Computer Science 176, 660-669, 2020 | 24 | 2020 |
Gist: general integrated summarization of text and reviews J Lovinger, I Valova, C Clough Soft Computing 23 (5), 1589-1601, 2019 | 22 | 2019 |
Chest X-Ray Image Preprocessing for Disease Classification G Caseneuve, I Valova, N LeBlanc, M Thibodeau Procedia Computer Science 192, 658-665, 2021 | 19 | 2021 |
Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons I Valova, N Gueorguieva, F Troescher, O Lapteva Neural Computing and Applications 16 (4), 355-372, 2007 | 17 | 2007 |
Fractal initialization for high-quality mapping with self-organizing maps I Valova, D Beaton, A Buer, D MacLean Neural Computing and Applications 19 (7), 953-966, 2010 | 16 | 2010 |
Image decomposition by answer-in-weights neural network I Valova, K Kameyama, Y Kosugi IEICE TRANSACTIONS on Information and Systems 78 (9), 1221-1224, 1995 | 15 | 1995 |
Learning and data clustering with an RBF-based spiking neuron network N Gueorguieva, I Valova, G Georgiev Journal of Experimental & Theoretical Artificial Intelligence 18 (01), 73-86, 2006 | 10 | 2006 |
Fuzzyfication of principle component analysis for data dimensionalty reduction N Gueorguieva, I Valova, G Georgiev 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1818-1825, 2016 | 9 | 2016 |
Identification of patterns via region-growing parallel SOM neural network I Valova, D MacLean, D Beaton 2008 Seventh International Conference on Machine Learning and Applications …, 2008 | 9 | 2008 |
Simulating Influence of Channel Kinetics and Temperature on Hodgkin-Huxley Threshold Dynamics G Georgiev, I Valova, N Gueorguieva, D Brady Procedia Computer Science 36, 464-469, 2014 | 7 | 2014 |
Parallel growing SOM monitored by genetic algorithm D MacLean, I Valova 2007 International Joint Conference on Neural Networks, 1697-1702, 2007 | 7 | 2007 |
An oscillation-driven neural network for the simulation of an olfactory system I Valova, N Gueorguieva, Y Kosugi Neural Computing & Applications 13 (1), 65-79, 2004 | 7 | 2004 |