Jin-Hyuk Hong
Cited by
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Location-based recommendation system using bayesian user’s preference model in mobile devices
MH Park, JH Hong, SB Cho
International conference on ubiquitous intelligence and computing, 1130-1139, 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
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
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
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
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
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
Efficient huge-scale feature selection with speciated genetic algorithm
JH Hong, SB Cho
Pattern Recognition Letters 27 (2), 143-150, 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
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
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
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
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
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
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
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
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
Lymphoma cancer classification using genetic programming with SNR features
JH Hong, SB Cho
European Conference on Genetic Programming, 78-88, 2004
Route guidance modality for elder driver navigation
SJ Kim, JH Hong, KA Li, J Forlizzi, AK Dey
International Conference on Pervasive Computing, 179-196, 2012
Gene boosting for cancer classification based on gene expression profiles
JH Hong, SB Cho
Pattern Recognition 42 (9), 1761-1767, 2009
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