Jin-Hyuk Hong
Cited by
Cited by
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
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
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
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
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
Lymphoma cancer classification using genetic programming with SNR features
JH Hong, SB Cho
European Conference on Genetic Programming, 78-88, 2004
Gene boosting for cancer classification based on gene expression profiles
JH Hong, SB Cho
Pattern Recognition 42 (9), 1761-1767, 2009
The system can't perform the operation now. Try again later.
Articles 1–20