Year |
Citation |
Score |
2015 |
Lee SW, Yi T, Jung JW, Bien Z. Design of a Gait Phase Recognition System That Can Cope With EMG Electrode Location Variation Ieee Transactions On Automation Science and Engineering. DOI: 10.1109/TASE.2015.2477283 |
0.452 |
|
2015 |
Lee SW, Bien ZZ. Learning systems with FUZZY Studies in Fuzziness and Soft Computing. 326: 39-50. DOI: 10.1007/978-3-319-19683-1_3 |
0.557 |
|
2013 |
Lee SW, Prenzel O, Bien Z. Applying human learning principles to user-centered IoT systems Computer. 46: 46-52. DOI: 10.1109/MC.2012.426 |
0.524 |
|
2013 |
Han JS, Lee SW, Bien Z. Feature subset selection using separability index matrix Information Sciences. 223: 102-118. DOI: 10.1016/j.ins.2012.09.042 |
0.445 |
|
2011 |
Jeon MJ, Lee SW, Bien Z. Hand gesture recognition using multivariate fuzzy decision tree and user adaptation International Journal of Fuzzy System Applications. 1: 15-31. DOI: 10.4018/ijfsa.2011070102 |
0.512 |
|
2010 |
Lee SW, Bien Z. Representation of a Fisher criterion function in a kernel feature space. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 333-9. PMID 20007043 DOI: 10.1109/TNN.2009.2036846 |
0.455 |
|
2010 |
Lee SW, Kim YS, Bien Z. A nonsupervised learning framework of human behavior patterns based on sequential actions Ieee Transactions On Knowledge and Data Engineering. 22: 479-492. DOI: 10.1109/TKDE.2009.123 |
0.543 |
|
2010 |
Bien Z, Lee SW. Learning structure of human behavior patterns in a smart home system Advances in Intelligent and Soft Computing. 82: 1-15. DOI: 10.1007/978-3-642-15660-1_1 |
0.536 |
|
2009 |
Song JH, Jung JW, Lee SW, Bien Z. Robust EMG pattern recognition to muscular fatigue effect for powered wheelchair control Journal of Intelligent and Fuzzy Systems. 20: 3-12. DOI: 10.3233/IFS-2009-0411 |
0.453 |
|
2009 |
Bae S, Lee SW, Kim YS, Bien Z. Fuzzy-state Q-learning-based human behavior suggestion system in intelligent sweet home Ieee International Conference On Fuzzy Systems. 283-287. DOI: 10.1109/FUZZY.2009.5277166 |
0.569 |
|
2008 |
Ali FM, Lee SW, Bien Z, Mokhtari M. Combined Fuzzy State Q-learning algorithm to predict context aware user activity under uncertainty in assistive environment Proc. 9th Acis Int. Conf. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Snpd 2008 and 2nd Int. Workshop On Advanced Internet Technology and Applications. 57-62. DOI: 10.1109/SNPD.2008.13 |
0.541 |
|
2008 |
Lee SW, Kim YS, Bien Z. Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-based Fuzzy-state Q-learning 2008 International Conference On Computational Intelligence For Modelling Control and Automation, Cimca 2008. 362-367. DOI: 10.1109/CIMCA.2008.79 |
0.588 |
|
2008 |
Lee SW, Kim YS, Bien Z. A probabilistic cluster validity index for agglomerative bayesian fuzzy clustering 2008 International Conference On Computational Intelligence For Modelling Control and Automation, Cimca 2008. 368-373. DOI: 10.1109/CIMCA.2008.76 |
0.492 |
|
2007 |
Lee SW, Kim YS, Bien Z. Agglomerative Fuzzy Clustering based on Bayesian Interpretation 2007 Ieee International Conference On Information Reuse and Integration, Ieee Iri-2007. 342-347. DOI: 10.1109/IRI.2007.4296644 |
0.515 |
|
2007 |
Lee SW, Yi T, Han JS, Jang H, Kim HH, Jung JW, Bien Z. Walking phase recognition for people with lower limb disability 2007 Ieee 10th International Conference On Rehabilitation Robotics, Icorr'07. 60-67. DOI: 10.1109/ICORR.2007.4428407 |
0.446 |
|
2006 |
Lee SW, Kim DJ, Kim YS, Bien Z. Bayesian interpretation of adaptive fuzzy neural network model Ieee International Conference On Fuzzy Systems. 2178-2183. DOI: 10.1109/FUZZY.2006.1682002 |
0.494 |
|
2005 |
Kim DJ, Lee SW, Bien Z. Facial emotional expression recognition with soft computing techniques Proceedings - Ieee International Workshop On Robot and Human Interactive Communication. 2005: 661-666. DOI: 10.1109/ROMAN.2005.1513855 |
0.431 |
|
2005 |
Kim YS, Bien ZZ. Integrated adaptive fuzzy clustering (iafc) neural networks using fuzzy learning rules Iranian Journal of Fuzzy Systems. 2: 1-13. |
0.308 |
|
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