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Hee-Cheol Kim 0001

Heecheol Kim 0001 – Hee-Cheol (Ezra) Kim

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affiliation: Inje University, Department of Computer Engineering, Gimhae, South Korea
affiliation (PhD 2001): Royal Institute of Technology, Department of Numerical Analysis and Computer Science, Stockholm, Sweden

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Journal Articles

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2024
[j16]
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Muhammad Yaseen, Maisam Ali, Sikandar Ali, Ali Hussain, Moon-Il Joo, Hee-Cheol (Ezra) Kim:
Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology. IEEE Access 12: 72131-72142 (2024)
2023
[j15]
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Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim:
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security. Sensors 23(2): 565 (2023)
2022
[j14]
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Ali Hussain, Sikandar Ali, Abdullah, Hee-Cheol Kim:
Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning. IEEE Access 10: 53153-53163 (2022)
[j13]
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Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim:
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors 22(24): 9983 (2022)
[j12]
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Mai Le, Quoc-Viet Pham, Hee-Cheol Kim, Won-Joo Hwang:
Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum. IEEE Syst. J. 16(2): 2856-2866 (2022)
2021
[j11]
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Nadia Iradukunda, Quoc-Viet Pham, Ming Zeng, Hee-Cheol Kim, Won-Joo Hwang:
UAV-Enabled Wireless Backhaul Networks Using Non-Orthogonal Multiple Access. IEEE Access 9: 36689-36698 (2021)
[j10]
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Sabyasachi Chakraborty, Satyabrata Aich, Hee-Cheol Kim:
A Novel Sleep Scoring Algorithm-Based Framework and Sleep Pattern Analysis Using Machine Learning Techniques. Int. J. Syst. Dyn. Appl. 10(3): 1-20 (2021)
2019
[j9]
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Yao Meng, Sang-Hoon Yi, Hee-Cheol Kim:
Health and Wellness Monitoring Using Intelligent Sensing Technique. J. Inf. Process. Syst. 15(3): 478-491 (2019)
2018
[j8]
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Xingfeng Wang, Hee-Cheol Kim:
Text Categorization with Improved Deep Learning Methods. J. Inform. and Commun. Convergence Engineering 16(2) (2018)
[j7]
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Satyabrata Aich, Pyari Mohan Pradhan, Jinse Park, Nitin Sethi, Vemula Sai Sri Vathsa, Hee-Cheol Kim:
A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer. Sensors 18(10): 3287 (2018)
2017
[j6]
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Xingfeng Wang, Hee-Cheol Kim:
New Feature Selection Method for Text Categorization. J. Inform. and Commun. Convergence Engineering 15(1) (2017)
2016
[j5]
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Ahmed Shdefat, Moonil Joo, Heecheol Kim:
A Method of Analyzing ECG to Diagnose Heart Abnormality utilizing SVM and DWT. J. Multim. Inf. Syst. 3(2): 35-42 (2016)
2015
[j4]
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Xingfeng Wang, Heecheol Kim:
Detecting User Activities with the Accelerometer on Android Smartphones. J. Multim. Inf. Syst. 2(2): 233-240 (2015)
[j3]
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Fei Hao, Shuai Li, Geyong Min, Hee-Cheol Kim, Stephen S. Yau, Laurence T. Yang:
An Efficient Approach to Generating Location-Sensitive Recommendations in Ad-hoc Social Network Environments. IEEE Trans. Serv. Comput. 8(3): 520-533 (2015)
2012
[j2]
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  - journals/cma/KimK12
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Tae-Woong Kim, Hee-Cheol Kim:
A healthcare system as a service in the context of vital signs: Proposing a framework for realizing a model. Comput. Math. Appl. 64(5): 1324-1332 (2012)
2001
[j1]
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Hee-Cheol (Ezra) Kim, Kerstin Severinson Eklundh:
Reviewing Practices in Collaborative Writing. Comput. Support. Cooperative Work. 10(2): 247-259 (2001)

Conference and Workshop Papers

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2024
[c52]
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Maisam Ali, Muhammad Yaseen, Sikandar Ali, Hee-Cheol Kim:
Machine Learning Based Techniques for the Prediction of Axillary Lymph Node Metastases in Early Breast Cancer. ICACT 2024: 1-5
[c51]
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Shah Muhammad Imtiyaj Uddin, Md Ariful Isalm Mojumder, Rashedul Islam Sumon, Joo Mon-il, Hee-Cheol Kim:
Leveraging Deep Learning for Automated Analysis of Colorectal Cancer Histology Images to Elevate Diagnosis Precision. ICACT 2024: 1-6
[c50]
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Muhammad Yaseen, Maisam Ali, Sikander Ali, Ali Hussain, Ali Athar, Hee-Cheol Kim:
Deep Learning Based Cervical Spine Bones Detection: A Case Study Using YOLO. ICACT 2024: 1-5
[c49]
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Sikandar Ali, Samman Fatima, Ali Hussain, Maisam Ali, Muhammad Yaseen, Tagne Poupi Theodore Armand, Hee-Cheol Kim:
Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features. ICACT 2024: 211-215
[c48]
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  - conf/icact/CaroleAK24
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Kouayep Sonia Carole, Tagne Poupi Theodore Armand, Hee-Cheol Kim:
Enhanced Experiences: Benefits of AI-Powered Recommendation Systems. ICACT 2024: 216-220
[c47]
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  - conf/icact/FathimaA024
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Kounen Fathima, Ali Athar, Hee-Cheol Kim:
Multi-Class Document Classification using LayoutLMv1 and V2. ICACT 2024: 286-289
[c46]
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  - conf/icact/MozumderSKUK024
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Md Ariful Islam Mozumder, Rashedul Islam Sumon, Ziaullah Khan, Shah Muhammad Imtiyaj Uddin, Muhammad Omair Khan, Hee-Cheol Kim:
AI-Based Logistics System Overview and a Workflow for Digital Freight Forwarding in Logistics. ICACT 2024: 295-299
[c45]
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  - conf/icact/ArmandCBMA024
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Tagne Poupi Theodore Armand, Kouayep Sonia Carole, Subrata Bhattacharjee, Md Ariful Islam Mozumder, Austin Oguejiofor Amaechi, Hee-Cheol Kim:
The Benefits of Integrating AI, IoT, and Blockchain in Healthcare Supply Chain Management: A Multi-Dimensional Analysis with Case Study. ICACT 2024: 300-304
[c44]
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Tagne Poupi Theodore Armand, Subrata Bhattacharjee, Hyun-Joong Kim, Ali Hussain, Sikandar Ali, Heung-Kook Choi, Hee-Cheol Kim:
Vision Transformer-based Model for Gastric Cancer Detection and Classification using Weakly Annotated Histopathological Images. ICACT 2024: 413-418
[c43]
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Tagne Poupi Theodore Armand, Subrata Bhattacharjee, Hee-Cheol Kim:
Overview of the Potentials of Multiple Instance Learning in Cancer Diagnosis: Applications, Challenges, and Future Directions. ICACT 2024: 419-425
[c42]
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  - conf/icaiic/ArmandBCK24
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Tagne Poupi Theodore Armand, Subrata Bhattacharjee, Heung-Kook Choi, Hee-Cheol Kim:
Transformers Effectiveness in Medical Image Segmentation: A Comparative Analysis of UNet-Based Architectures. ICAIIC 2024: 238-242
[c41]
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Tagne Poupi Theodore Armand, Opeyemi Deji-Oloruntoba, Subrata Bhattacharjee, Kintoh Allen Nfor, Hee-Cheol Kim:
Optimizing longevity: Integrating Smart Nutrition and Digital Technologies for Personalized Anti-aging Healthcare. ICAIIC 2024: 243-248
2023
[c40]
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  - conf/icact/AtharAMAK23
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Ali Athar, Shah Mahsoom Ali, Md Ariful Islam Mozumder, Sikandar Ali, Hee-Cheol Kim:
Applications and Possible Challenges of Healthcare Metaverse. ICACT 2023: 328-332
[c39]
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Shah Mahsoom Ali, Satyabrata Aich, Ali Athar, Hee-Cheol Kim:
Medical Education, Training and Treatment Using XR in Healthcare. ICACT 2023: 388-393
[c38]
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Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Ali Athar, Hee-Cheol Kim:
The metaverse applications for the finance industry, its challenges, and an approach for the metaverse finance industry. ICACT 2023: 407-410
[c37]
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  - conf/icact/SheerazMKAJK23
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Muhammad Mohsan Sheeraz, Md Ariful Islam Mozumder, Muhammad Omair Khan, Muhammad Usama Abid, Moon-Il Joo, Hee-Cheol Kim:
Blockchain System for Trustless Healthcare Data Sharing with Hyperledger Fabric in Action. ICACT 2023: 437-440
[c36]
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Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashedul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Ali Athar, Hee-Cheol Kim:
The Metaverse for Intelligent Healthcare using XAI, Blockchain, and Immersive Technology. MetaCom 2023: 612-616
[c35]
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Rashadul Islam Sumon, Md Ariful Islam Mozumder, Shah Muhammad Imtiyaj Uddin, Moon-Il Joo, Hee-Cheol Kim:
Enhanced Nuclei Segmentation in Histopathology Image Leveraging RGB Channels through Triple-Encoder and Single-Decoder Architectures. UEMCON 2023: 830-835
2022
[c34]
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  - conf/icact/AichSKACJ022
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Satyabrata Aich, Nday Kabulo Sinai, Saurabh Kumar, Mohammed Ali, Yu Ran Choi, Moon-Il Joo, Hee-Cheol Kim:
Protecting Personal Healthcare Record Using Blockchain & Federated Learning Technologies. ICACT 2022: 109-112
[c33]
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  - conf/icact/MozumderSAA022
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Md Ariful Islam Mozumder, Muhammad Mohsan Sheeraz, Ali Athar, Satyabrata Aich, Hee-Cheol Kim:
Overview: Technology Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, AI Technique, and Medical Domain Metaverse Activity. ICACT 2022: 256-261
[c32]
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Ali Hussain, Ikromjanov Kobiljon Komil Ugli, Beom Su Kim, Minji Kim, Harin Ryu, Satyabrata Aich, Hee-Cheol Kim:
Detection of Different stages of COPD Patients Using Machine Learning Techniques. ICACT 2022: 368-372
[c31]
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Ikromjanov Kobiljon Komil Ugli, Ali Hussain, Beom Su Kim, Satyabrata Aich, Hee-Cheol Kim:
A Transfer Learning Approach for Identification of Distracted Driving. ICACT 2022: 420-423
[c30]
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  - conf/icaiic/BhattacharjeeHI22
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Subrata Bhattacharjee, Yeong-Byn Hwang, Kobiljon Ikromjanov, Rashadul Islam Sumon, Hee-Cheol Kim, Heung-Kook Choi:
An Explainable Computer Vision in Histopathology: Techniques for Interpreting Black Box Model. ICAIIC 2022: 392-398
[c29]
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Kobiljon Ikromjanov, Subrata Bhattacharjee, Yeong-Byn Hwang, Rashadul Islam Sumon, Hee-Cheol Kim, Heung-Kook Choi:
Whole Slide Image Analysis and Detection of Prostate Cancer using Vision Transformers. ICAIIC 2022: 399-402
[c28]
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Subrata Bhattacharjee, Yeong-Byn Hwang, Rashadul Islam Sumon, Hafizur Rahman, Dong-Woo Hyeon, Damin Moon, Kouayep Sonia Carole, Hee-Cheol Kim, Heung-Kook Choi:
Cluster Analysis: Unsupervised Classification for Identifying Benign and Malignant Tumors on Whole Slide Image of Prostate Cancer. IPAS 2022: 1-5
2021
[c27]
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Satyabrata Aich, Nday Kabulo Sinai, Saurabh Kumar, Mohammed Ali, Yu Ran Choi, Moon-Il Joo, Hee-Cheol Kim:
Protecting Personal Healthcare Record Using Blockchain & Federated Learning Technologies. ICACT 2021: 109-112
[c26]
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Ali Hussain, Ikromjanov Kobiljon Komil Ugli, Beom Su Kim, Minji Kim, Harin Ryu, Satyabrata Aich, Hee-Cheol Kim:
Detection of Different stages of COPD Patients Using Machine Learning Techniques. ICACT 2021: 368-372
[c25]
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Ikromjanov Kobiljon Komil Ugli, Ali Hussain, Beom Su Kim, Satyabrata Aich, Hee-Cheol Kim:
A Transfer Learning Approach for Identification of Distracted Driving. ICACT 2021: 420-423
[c24]
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  - conf/snams/AtharASBK21
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Ali Athar, Sikandar Ali, Muhammad Mohsan Sheeraz, Subrata Bhattacharjee, Hee-Cheol Kim:
Sentimental Analysis of Movie Reviews using Soft Voting Ensemble-based Machine Learning. SNAMS 2021: 1-5
2020
[c23]
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  - conf/icact/ChakrabortyAKSS20
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Sabyasachi Chakraborty, Satyabrata Aich, Avinash Kumar, Sobhangi Sarkar, Jong-Seong Sim, Hee-Cheol Kim:
Detection of cancerous tissue in histopathological images using Dual-Channel Residual Convolutional Neural Networks (DCRCNN). ICACT 2020: 197-202
[c22]
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Sabyasachi Chakraborty, Satyabrata Aich, Jong-Seong Sim, Eunyoung Han, Jinse Park, Hee-Cheol Kim:
Parkinson's Disease Detection from Spiral and Wave Drawings using Convolutional Neural Networks: A Multistage Classifier Approach. ICACT 2020: 298-303
[c21]
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  - conf/icact/AnsariCAK020
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Aseer Ahmad Ansari, Sabyasachi Chakraborty, Satyabrata Aich, Beom Su Kim, Hee-Cheol Kim:
Optimization of Healthcare Network for improved service delivery. ICACT 2020: 314-318
2019
[c20]
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Sabyasachi Chakraborty, Satyabrata Aich, Jong-Seong Sim, Hee-Cheol Kim:
A Blockchain based Credit Analysis Framework for Efficient Financial Systems. ICACT 2019: 56-60
[c19]
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  - conf/icact/Aich0SL019
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Satyabrata Aich, Sabyasachi Chakraborty, Mangal Sain, Hyein Lee, Hee-Cheol Kim:
A Review on Benefits of IoT Integrated Blockchain based Supply Chain Management Implementations across Different Sectors with Case Study. ICACT 2019: 138-141
[c18]
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Sabyasachi Chakraborty, Satyabrata Aich, Hee-Cheol Kim:
A Secure Healthcare System Design Framework using Blockchain Technology. ICACT 2019: 260-264
[c17]
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Satyabrata Aich, Hee-Cheol Kim, Kim Younga, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Mangal Sain:
A Supervised Machine Learning Approach using Different Feature Selection Techniques on Voice Datasets for Prediction of Parkinson's Disease. ICACT 2019: 1116-1121
2018
[c16]
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  - conf/tencon/MishraAKP18
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Mayank Mishra, Satyabrata Aich, Hee-Cheol Kim, Pyari Mohan Pradhan:
A Novel Ramp-based Pulse Shaping Filter for Reducing Out of Band Emission in 5G GFDM System. TENCON 2018: 96-101
[c15]
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Jitender Kapil, Ghanshyamkumar Sah, Satyabrata Aich, Hee-Cheol Kim, Pyari Mohan Pradhan:
3GPP LTE Downlink Channel Estimation in High-Mobility Environment Using Modified Extended Kalman Filter. TENCON 2018: 1015-1020
2013
[c14]
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Shuai Li, Fei Hao, Mei Li, Hee-Cheol Kim:
Medicine Rating Prediction and Recommendation in Mobile Social Networks. GPC 2013: 216-223
[c13]
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  - conf/healthcom/MengK13
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Yao Meng, Hee-Cheol Kim:
Towards design of technologies persuading more physical activity. Healthcom 2013: 710-712
2012
[c12]
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Hee-Cheol Kim:
An Experimental Study to Explore Usability Problems of Interactive Voice Response Systems. ACIIDS (3) 2012: 169-177
2011
[c11]
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Gi-Soo Chung, Hee-Cheol Kim:
Smart Clothes Are New Interactive Devices. HCI (23) 2011: 18-21
[c10]
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Hee-Cheol Kim:
Time: A Premise of Virtual Life. HCI (22) 2011: 289-292
[c9]
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Hee-Cheol Kim, Deyun Liu, Ho-Won Kim:
Inherent Usability Problems in Interactive Voice Response Systems. HCI (4) 2011: 476-483
[c8]
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Yao Meng, Hee-Cheol Kim:
A Review of Accelerometer-Based Physical Activity Measurement. ICITCS 2011: 223-237
2008
[c7]
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Tsogzolmaa Saizmaa, Hee-Cheol Kim:
A Holistic Understanding of HCI Perspectives on Smart Home. NCM (2) 2008: 59-65
[c6]
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Hee-Cheol Kim:
Weaknesses of Voice Interaction. NCM (2) 2008: 740-745
2007
[c5]
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Hee-Cheol Kim:
Aspiring for a Virtual Life. HCI (2) 2007: 615-623
2006
[c4]
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  - conf/cscwd/KimK06b
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Min-Kyung Kim, Hee-Cheol Kim:
How to Build Awareness-Supported Systems Without Sacrificing Privacy. CSCWD (Selected Papers) 2006: 609-618
[c3]
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Min Kyung Kim, Hee-Cheol Kim:
Awareness and Privacy in Groupware Systems. CSCWD 2006: 984-988
2002
[c2]
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  - conf/hicss/KimE02
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Hee-Cheol Kim, Kerstin Severinson Eklundh:
Collaboration between Writer and Reviewer through Change Representation Tools. HICSS 2002: 39
[c1]
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  - conf/hicss/Kim02a
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Hee-Cheol Kim:
From Comments to Dialogues: A Study of Asynchronous Dialogue Processes as Part of Collaborative Reviewing on the Web. HICSS 2002: 116

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