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2010 – 2019
- 2018
[j3]Guk Bae Kim, Kyu-Hwan Jung
, Yeha Lee, Hyun-Jun Kim, Namkug Kim, Sanghoon Jun, Joon Beom Seo, David A. Lynch:
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. J. Digit. Imaging 31(4): 415-424 (2018)- 2017
- [j2]Hyun-Jun Kim, Eun-Suk Shin, Yoon-Seok Lee, Jae-Hyuk Kim, Byung-Moon Han:
Smooth Operation Transition Scheme for Stand-Alone Power System With EG and BESS-PV Panels. IEEE Trans. Smart Grid 8(4): 2042-2044 (2017) - 2014
- [j1]Hyun-Jun Kim, Seung-Bo Park, GeunSik Jo:
Affective social network - happiness inducing social media platform. Multim. Tools Appl. 68(2): 355-374 (2014) - [c16]Inchul Song, Hyun-Jun Kim, Paul Barom Jeon:
Deep learning for real-time robust facial expression recognition on a smartphone. ICCE 2014: 564-567 - 2013
- [c15]Hyun-Jun Kim, Young Sang Choi:
A Peak Detection Method for Understanding User States for Empathetic Intelligent Agents. IAT 2013: 261-265 - [c14]Hyun-Jun Kim, Young Sang Choi:
Eating activity recognition for health and wellness: A case study on Asian eating style. ICCE 2013: 446-447 - [c13]Mira Kim, Hyun-Jun Kim, Sunjae Lee, Young Sang Choi:
A touch based affective user interface for smartphone. ICCE 2013: 606-607 - 2012
- [c12]Hyun-Jun Kim, Mira Kim, Sunjae Lee, Young Sang Choi:
An analysis of eating activities for automatic food type recognition. APSIPA 2012: 1-5 - [c11]Hyun-Jun Kim, Young Sang Choi:
Exploring emotional preference for smartphone applications. CCNC 2012: 245-249 - 2011
- [c10]Hyun-Jun Kim:
Affective Social Network. ICITCS 2011: 455-461 - [c9]Hyun-Jun Kim:
Discovering Knowledge Flow in Social Network. ICITCS 2011: 469-477
2000 – 2009
- 2007
- [c8]Jae-An Yi, Shin Heu, Byuongkyu Choi, Hyun-Jun Kim, Hanseok Sue, Jung-Guk Kim:
TMO-NanoQ+: A Real-Time Kernel for Sensor Networks Supporting Time-Triggered and Message-Triggered Tasks. ISORC 2007: 228-235 - [c7]Heung-Nam Kim, Ae-Ttie Ji, Hyun-Jun Kim, GeunSik Jo:
Error-Based Collaborative Filtering Algorithm for Top-N Recommendation. APWeb/WAIM 2007: 594-605 - 2006
- [c6]Hyun-Jun Kim, Jenu Shrestha, Heung-Nam Kim, GeunSik Jo:
User Action Based Adaptive Learning with Weighted Bayesian Classification for Filtering Spam Mail. Australian Conference on Artificial Intelligence 2006: 790-798 - 2004
- [c5]Hyun-Jun Kim, Heung-Nam Kim, Jason J. Jung, GeunSik Jo:
On Enhancing the Performance of Spam Mail Filtering System Using Semantic Enrichment. Australian Conference on Artificial Intelligence 2004: 1095-1100 - [c4]Heung-Nam Kim, Hyun-Jun Kim, GeunSik Jo:
Content-Based Document Recommendation in Collaborative Peer-to-Peer Network. GCC 2004: 575-582 - [c3]Hyun-Jun Kim, Heung-Nam Kim, Jason J. Jung, GeunSik Jo:
Spam Mail Filtering System Using Semantic Enrichment. WISE 2004: 619-628 - 2003
- [c2]Hyun-Jun Kim, Jason J. Jung, GeunSik Jo:
Conceptual Framework for Recommendation System Based on Distributed User Ratings. GCC (1) 2003: 115-122 - 2002
- [c1]Hyun-Jun Kim, Sang Hyun Park, Jung-Guk Kim, Moon-hae Kim, Kee-Wook Rim:
TMO-Linux: A Linux-Based Real-Time Operating System Supporting Execution of TMOs. Symposium on Object-Oriented Real-Time Distributed Computing 2002: 288-296
Coauthor Index
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