| Mobile terminal and operating method thereof M Lee US Patent 8,619,152, 2013 | 295 | 2013 |
| Robust lane detection based on convolutional neural network and random sample consensus J Kim, M Lee Neural Information Processing: 21st International Conference, ICONIP 2014 …, 2014 | 208 | 2014 |
| Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection J Kim, J Kim, GJ Jang, M Lee Neural Networks 87, 109-121, 2017 | 196 | 2017 |
| Global sliding-mode control. Improved design for a brushless DC motor H Choi, Y Park, Y Cho, M Lee IEEE control systems magazine 21 (3), 27-35, 2001 | 189 | 2001 |
| ISFET glucose sensor system with fast recovery characteristics by employing electrolysis KY Park, SB Choi, M Lee, BK Sohn, SY Choi Sensors and Actuators B: Chemical 83 (1-3), 90-97, 2002 | 158 | 2002 |
| Deep learning with support vector data description S Kim, Y Choi, M Lee Neurocomputing 165, 111-117, 2015 | 109 | 2015 |
| Deep learning of support vector machines with class probability output networks S Kim, Z Yu, RM Kil, M Lee Neural Networks 64, 19-28, 2015 | 98 | 2015 |
| Analysis of positive and negative emotions in natural scene using brain activity and GIST Q Zhang, M Lee Neurocomputing 72 (4-6), 1302-1306, 2009 | 89 | 2009 |
| A robust neural controller for underwater robot manipulators M Lee, HS Choi IEEE Transactions on Neural Networks 11 (6), 1465-1470, 2000 | 89 | 2000 |
| Saliency map model with adaptive masking based on independent component analysis SJ Park, KH An, M Lee Neurocomputing 49 (1-4), 417-422, 2002 | 84 | 2002 |
| An evolving surrogate model-based differential evolution algorithm R Mallipeddi, M Lee Applied Soft Computing 34, 770-787, 2015 | 83 | 2015 |
| Explosive gas recognition system using thick film sensor array and neural network DS Lee, HY Jung, JW Lim, M Lee, SW Ban, JS Huh, DD Lee Sensors and Actuators B: Chemical 71 (1-2), 90-98, 2000 | 82 | 2000 |
| SnO/sub 2/gas sensing array for combustible and explosive gas leakage recognition DS Lee, DD Lee, SW Ban, M Lee, YT Kim IEEE Sensors Journal 2 (3), 140-149, 2002 | 79 | 2002 |
| Mobile terminal and controlling method thereof MH Lee US Patent 8,301,202, 2012 | 73 | 2012 |
| Biologically inspired saliency map model for bottom-up visual attention SJ Park, JK Shin, M Lee International Workshop on Biologically Motivated Computer Vision, 418-426, 2002 | 72 | 2002 |
| The mechanism underlying the antibacterial activity of shikonin against methicillin-resistant Staphylococcus aureus YS Lee, DY Lee, YB Kim, SW Lee, SW Cha, HW Park, GS Kim, DY Kwon, ... Evidence-based complementary and alternative medicine 2015, 2015 | 71 | 2015 |
| Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment S Jeong, SW Ban, M Lee Neural networks 21 (10), 1420-1430, 2008 | 71 | 2008 |
| Emotion recognition based on 3D fuzzy visual and EEG features in movie clips G Lee, M Kwon, SK Sri, M Lee Neurocomputing 144, 560-568, 2014 | 70 | 2014 |
| Somatostatin (SRIF) receptor subtype 2 and 5 gene expression in growth hormone-secreting pituitary adenomas: the relationship with endogenous srif activity and response to … C Park, I Yang, J Woo, S Kim, J Kim, Y Kim, S Sohn, E Kim, M Lee, H Park, ... Endocrine Journal 51 (2), 227-236, 2004 | 67 | 2004 |
| Human intention recognition based on eyeball movement pattern and pupil size variation YM Jang, R Mallipeddi, S Lee, HW Kwak, M Lee Neurocomputing 128, 421-432, 2014 | 65 | 2014 |
Rammohan MallipeddiProfessor, Department of Artificial Intelligence, School of Electronics, KyungpookVerified email at knu.ac.kr
