A comparative study of efficient initialization methods for the k-means clustering algorithm ME Celebi, HA Kingravi, PA Vela Expert systems with applications 40 (1), 200-210, 2013 | 1508 | 2013 |
A methodological approach to the classification of dermoscopy images ME Celebi, HA Kingravi, B Uddin, H Iyatomi, YA Aslandogan, ... Computerized Medical imaging and graphics 31 (6), 362-373, 2007 | 852 | 2007 |
Border detection in dermoscopy images using statistical region merging M Emre Celebi, HA Kingravi, H Iyatomi, Y Alp Aslandogan, WV Stoecker, ... Skin Research and Technology 14 (3), 347-353, 2008 | 515* | 2008 |
Bayesian nonparametric adaptive control using Gaussian processes G Chowdhary, HA Kingravi, JP How, PA Vela IEEE transactions on neural networks and learning systems 26 (3), 537-550, 2014 | 220 | 2014 |
Nonlinear vector filtering for impulsive noise removal from color images ME Celebi, HA Kingravi, YA Aslandogan Journal of Electronic Imaging 16 (3), 033008-033008-21, 2007 | 130 | 2007 |
Deterministic initialization of the k-means algorithm using hierarchical clustering ME Celebi, HA Kingravi International Journal of Pattern Recognition and Artificial Intelligence 26 …, 2012 | 81 | 2012 |
A Reproducing Kernel Hilbert Space Approach for the Online Update of Radial Bases in Neuro-Adaptive Control HA Kingravi, G Chowdhary, PA Vela, EN Johnson IEEE Conference on Decision and Control, 2012 | 63 | 2012 |
On Euclidean norm approximations ME Celebi, F Celiker, HA Kingravi Pattern Recognition 44 (2), 278-283, 2011 | 55 | 2011 |
Linear, deterministic, and order-invariant initialization methods for the k-means clustering algorithm ME Celebi, HA Kingravi Partitional clustering algorithms, 79-98, 2015 | 49 | 2015 |
Detection of blue-white veil areas in dermoscopy images using machine learning techniques ME Celebi, HA Kingravi, YA Aslandogan, WV Stoecker Medical Imaging 2006: Image Processing 6144, 1861-1868, 2006 | 47 | 2006 |
Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes G Chowdhary, HA Kingravi, JP How, PA Vela 2013 American Control Conference, 2655-2661, 2013 | 41 | 2013 |
A fast switching filter for impulsive noise removal from color images ME Celebi, HA Kingravi, B Uddin, YA Aslandogan arXiv preprint arXiv:1009.0961, 2010 | 32 | 2010 |
Human aware UAS path planning in urban environments using nonstationary MDPs R Allamaraju, H Kingravi, A Axelrod, G Chowdhary, R Grande, JP How, ... 2014 IEEE International Conference on Robotics and Automation (ICRA), 1161-1167, 2014 | 27 | 2014 |
Model reference adaptive control using nonparametric adaptive elements G Chowdhary, J How, H Kingravi AIAA Guidance, Navigation, and Control Conference, 5038, 2012 | 26 | 2012 |
Kernel observers: Systems-theoretic modeling and inference of spatiotemporally evolving processes HA Kingravi, HR Maske, G Chowdhary Advances in neural information processing systems 29, 2016 | 23 | 2016 |
Fast colour space transformations using minimax approximations ME Celebi, HA Kingravi, F Celiker IET Image Processing 4 (2), 70-80, 2010 | 23 | 2010 |
Uncovering the landscape of fraud and spam in the telephony channel A Marzuoli, HA Kingravi, D Dewey, R Pienta 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 19 | 2016 |
A Bayesian nonparametric approach to adaptive control using Gaussian processes G Chowdhary, HA Kingravi, JP How, PA Vela 52nd IEEE Conference on Decision and Control, 874-879, 2013 | 19 | 2013 |
Kernel controllers: A systems-theoretic approach for data-driven modeling and control of spatiotemporally evolving processes HA Kingravi, H Maske, G Chowdhary 2015 54th IEEE Conference on Decision and Control (CDC), 7365-7370, 2015 | 17 | 2015 |
Apparatus and method for detecting new calls from a known robocaller and identifying relationships among telephone calls A Marzuoli, H Kingravi, D Dewey US Patent 10,666,792, 2020 | 15 | 2020 |