Location-based recommendation system using bayesian user’s preference model in mobile devices MH Park, JH Hong, SB Cho Ubiquitous Intelligence and Computing: 4th International Conference, UIC …, 2007 | 566 | 2007 |
Understanding and prediction of mobile application usage for smart phones C Shin, JH Hong, AK Dey proceedings of the 2012 ACM conference on ubiquitous computing, 173-182, 2012 | 378 | 2012 |
Factors influencing quality of experience of commonly used mobile applications S Ickin, K Wac, M Fiedler, L Janowski, JH Hong, AK Dey IEEE Communications Magazine 50 (4), 48-56, 2012 | 333 | 2012 |
Getting closer: an empirical investigation of the proximity of user to their smart phones AK Dey, K Wac, D Ferreira, K Tassini, JH Hong, J Ramos Proceedings of the 13th international conference on Ubiquitous computing …, 2011 | 302 | 2011 |
A smartphone-based sensing platform to model aggressive driving behaviors JH Hong, B Margines, AK Dey Proceedings of the sigchi conference on human factors in computing systems …, 2014 | 250 | 2014 |
Fingerprint classification using one-vs-all support vector machines dynamically ordered with naı¨ ve Bayes classifiers JH Hong, JK Min, UK Cho, SB Cho Pattern Recognition 41 (2), 662-671, 2008 | 191 | 2008 |
Efficient huge-scale feature selection with speciated genetic algorithm JH Hong, SB Cho Pattern Recognition Letters 27 (2), 143-150, 2006 | 125 | 2006 |
The classification of cancer based on DNA microarray data that uses diverse ensemble genetic programming JH Hong, SB Cho Artificial intelligence in Medicine 36 (1), 43-58, 2006 | 117 | 2006 |
Toward personalized activity recognition systems with a semipopulation approach JH Hong, J Ramos, AK Dey IEEE Transactions on Human-Machine Systems 46 (1), 101-112, 2015 | 110 | 2015 |
A probabilistic multi-class strategy of one-vs.-rest support vector machines for cancer classification JH Hong, SB Cho Neurocomputing 71 (16-18), 3275-3281, 2008 | 88 | 2008 |
Understanding physiological responses to stressors during physical activity JH Hong, J Ramos, AK Dey Proceedings of the 2012 ACM conference on ubiquitous computing, 270-279, 2012 | 82 | 2012 |
A semantic Bayesian network approach to retrieving information with intelligent conversational agents KM Kim, JH Hong, SB Cho Information Processing & Management 43 (1), 225-236, 2007 | 71 | 2007 |
Studying the experience of mobile applications used in different contexts of daily life K Wac, S Ickin, JH Hong, L Janowski, M Fiedler, AK Dey Proceedings of the first ACM SIGCOMM workshop on Measurements up the stack, 7-12, 2011 | 70 | 2011 |
A novel evolutionary approach to image enhancement filter design: method and applications JH Hong, SB Cho, UK Cho IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 52 | 2009 |
Evolution of emergent behaviors for shooting game characters in robocode JH Hong, SB Cho Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 52 | 2004 |
Competitive live evaluations of activity-recognition systems H Gjoreski, S Kozina, M Gams, M Lustrek, JA Álvarez-García, JH Hong, ... IEEE Pervasive Computing 14 (1), 70-77, 2015 | 50 | 2015 |
ConaMSN: A context-aware messenger using dynamic Bayesian networks with wearable sensors JH Hong, SI Yang, SB Cho Expert Systems with Applications 37 (6), 4680-4686, 2010 | 50 | 2010 |
Route guidance modality for elder driver navigation SJ Kim, JH Hong, KA Li, J Forlizzi, AK Dey Pervasive Computing: 10th International Conference, Pervasive 2012 …, 2012 | 48 | 2012 |
Stress Recognition-A Step Outside the Lab. J Ramos, JH Hong, AK Dey PhyCS, 107-118, 2014 | 41 | 2014 |
Lymphoma cancer classification using genetic programming with SNR features JH Hong, SB Cho Genetic Programming: 7th European Conference, EuroGP 2004, Coimbra, Portugal …, 2004 | 41 | 2004 |