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ORCIDJoon S. Lim
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2020 – today
- 2024
[j13]Soo H. Chai, Joon S. Lim
, Heejin Yoon, Bohyun Wang:
A Novel Methodology for Forecasting Business Cycles Using ARIMA and Neural Network with Weighted Fuzzy Membership Functions. Axioms 13(1): 56 (2024)- 2023
- [j12]Minwoo Kim, Jinhee Bae, Bohyun Wang, Hansol Ko, Joon S. Lim:
Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents. Sensors 23(1): 98 (2023) - 2022
- [j11]Bohyun Wang, Joon S. Lim:
Zoom-In Neural Network Deep-Learning Model for Alzheimer's Disease Assessments. Sensors 22(22): 8887 (2022) - [c29]Hansol Ko, Bohyun Wang, Joon S. Lim:
A Study for ADHD Identification using Eye Movement Data. ICEIC 2022: 1-3 - 2021
- [j10]Letao Qu, Bohyun Wang, Joon S. Lim:
Feature selection by a distance measure method of subnormal and non-convex fuzzy sets. J. Intell. Fuzzy Syst. 41(4): 5199-5205 (2021) - [c28]Jinhee Bae, Minwoo Kim, Joon S. Lim:
Emotion Detection and Analysis from Facial Image using Distance between Coordinates Feature. ICTC 2021: 494-497 - [c27]Minwoo Kim, Jinhee Bae, Joon S. Lim:
Selecting a Suitable Feature Subset for Classification using Multi-Agent Reinforcement Learning. ICTC 2021: 501-504 - 2020
- [c26]Minwoo Kim, Hyungjun Kim, Joon S. Lim:
Classification of Diagnosis of Alzheimer's Disease Based on Convolutional Layers of VGG16 Model using Speech Data. ICTC 2020: 456-459 - [c25]Jinhee Bae, Minwoo Kim, Joon S. Lim:
Feature Extraction Model Based on Inception V3 to Distinguish Normal Heart Sound from Systolic Murmur. ICTC 2020: 460-463
2010 – 2019
- 2019
- [c24]Minwoo Kim, Joon S. Lim:
Finding and evaluating suitable contents to recognize depression based on neuro-fuzzy algorithm. ICTC 2019: 478-483 - [c23]Yeonsoo Park, Bohyung Wang, Minwoo Kim, Joon S. Lim:
Classification of First and Second Heart Sound basedon Novel Statistical Features. ICTC 2019: 484-488 - 2016
- [j9]Zhen-Xing Zhang, Joon S. Lim, Zhao Cai Jiang, Chunjie Zhou, Shao Jing Li:
Optimal prototype selection for speech emotion recognition using fuzzy k-important nearest neighbour. Int. J. Commun. Networks Distributed Syst. 17(2): 103-119 (2016) - 2015
- [j8]Hee-Jin Yoon, Jongwoo Lim, Joon S. Lim:
Reconstructing time series GRN using a neuro-fuzzy system. J. Intell. Fuzzy Syst. 29(6): 2751-2757 (2015) - [j7]Sung-Yong Son, Sang-Hong Lee, Kyungyong Chung, Joon S. Lim:
Feature selection for daily peak load forecasting using a neuro-fuzzy system. Multim. Tools Appl. 74(7): 2321-2336 (2015) - [j6]Dong-Kyun Park, Eun-Young Jung, Sang-Hong Lee, Joon S. Lim:
A composite gene selection for DNA microarray data analysis. Multim. Tools Appl. 74(20): 9031-9041 (2015) - [c22]Zhen-Xing Zhang, Joon S. Lim:
Ventricular Fabrication Prediction Approach Based on Cloud-Mobile Healthcare Platform. BWCCA 2015: 410-413 - [c21]Zhen-Xing Zhang, Joon S. Lim:
Emotion Recognition Algorithm Based on Neural Fuzzy Network and the Cloud Technology. BWCCA 2015: 576-579 - 2014
- [j5]Sang-Hong Lee, Joon S. Lim, Jae-Kwon Kim, Junggi Yang, Young-Ho Lee:
Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance. Comput. Methods Programs Biomed. 116(1): 10-25 (2014) - [j4]Sang-Hong Lee, Kyung-Yong Chung, Joon S. Lim:
Detection of ventricular fibrillation using Hilbert transforms, phase-space reconstruction, and time-domain analysis. Pers. Ubiquitous Comput. 18(6): 1315-1324 (2014) - 2013
- [c20]Sang-Hong Lee, Joon S. Lim:
Detection of Ventricular Fibrillation Based on Time Domain Analysis. ICISA 2013: 1-3 - [c19]Xue-Wei Tian, Joon S. Lim:
Bhattacharyya Distance for Identifying Differentially Expressed Genes in Colon Gene Experiments. ICISA 2013: 1-2 - [c18]Hee-Jin Yoon, Joon S. Lim:
Lymphoma Cancer Classification Using NEWFM Based Filtering Method. ICISA 2013: 1-2 - 2012
- [j3]Sang-Hong Lee, Joon S. Lim:
Parkinson's disease classification using gait characteristics and wavelet-based feature extraction. Expert Syst. Appl. 39(8): 7338-7344 (2012) - [c17]Zhen-Xing Zhang, Xue-Wei Tian, Joon S. Lim:
A 2-D Visual Model for Sasang Constitution Classification Based on a Fuzzy Neural Network. ICITCS 2012: 357-362 - [c16]Xue-Wei Tian, Zhen-Xing Zhang, Sang-Hong Lee, Hee-Jin Yoon, Joon S. Lim:
Depression and Fatigue Analysis Using a Mental-Physical Model. ICITCS 2012: 813-817 - [c15]Zhen-Xing Zhang, Xue-Wei Tian, Sang-Hong Lee, Joon S. Lim:
A Prototype Selection Algorithm Using Fuzzy k-Important Nearest Neighbor Method. ICITCS 2012: 997-1001 - [c14]Murlikrishna Viswanathan, Zhen-Xing Zhang, Xue-Wei Tian, Joon S. Lim:
Emotional-speech recognition using the neuro-fuzzy network. ICUIMC 2012: 96:1-96:5 - 2011
- [j2]Sang-Hong Lee, Joon S. Lim:
Forecasting KOSPI based on a neural network with weighted fuzzy membership functions. Expert Syst. Appl. 38(4): 4259-4263 (2011) - [c13]Sang-Hong Lee, Joon S. Lim:
Classifying Sleep Disturbance Using Sleep Stage 2 and Wavelet-Based Features. ICDIPC (2) 2011: 199-206 - [c12]Murlikrishna Viswanathan, Zhen-Xing Zhang, Xue-Wei Tian, Joon S. Lim:
A fatigue detection algorithm by heart rate variability based on a neuro-fuzzy network. ICUIMC 2011: 83 - 2010
- [c11]Zhen-Xing Zhang, Sang-Hong Lee, Joon S. Lim:
Comparison of feature selection methods in ECG signal classification. ICUIMC 2010: 73 - [c10]Sang-Hong Lee, Joon S. Lim, Dong-Kun Shin:
Extracting Fuzzy Rules to Classify Motor Imagery Based on a Neural Network with Weighted Fuzzy Membership Functions. NDT (1) 2010: 7-14
2000 – 2009
- 2009
- [j1]Joon S. Lim:
Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System. IEEE Trans. Neural Networks 20(3): 522-527 (2009) - [c9]Sang-Hong Lee, Dong-Kun Shin, Zhen-Xing Zhang, Joon S. Lim:
Comparing the Feature Selection Using the Distributed Non-overlap Area Measurement Method with Principal Component Analysis. ACIS-ICIS 2009: 530-534 - [c8]Sang-Hong Lee, Dong-Kun Shin, Joon S. Lim:
Comparing Performance Results using NEWFM and Statistical Method. ICSOFT (2) 2009: 353-356 - [c7]Dong-Kun Shin, Sang-Hong Lee, Joon S. Lim:
Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM. PAKDD 2009: 723-730 - [c6]Sang-Hong Lee, Dong-Kun Shin, Joon S. Lim:
Forecasting KOSPI Using a Neural Network with Weighted Fuzzy Membership Functions and Technical Indicators. PCM 2009: 323-331 - 2008
- [c5]Zhen-Xing Zhang, Sang-Hong Lee, Joon S. Lim:
Discrimination of Ventricular Arrhythmias Using NEWFM. AIRS 2008: 176-183 - [c4]Sang-Hong Lee, Hongjin Kim, Hyoung J. Jang, Joon S. Lim:
Forecasting Short-Term KOSPI Time Series Based on NEWFM. ALPIT 2008: 303-307 - [c3]Zhen-Xing Zhang, Sang-Hong Lee, Hyoung J. Jang, Joon S. Lim:
Detecting Ventricular Arrhythmias by NEWFM. GrC 2008: 822-825 - [c2]Sang-Hong Lee, Joon S. Lim:
KOSPI Time Series Analysis Using Neural Network with Weighted Fuzzy Membership Functions. KES-AMSTA 2008: 53-62 - [p2]Sang-Hong Lee, Hyoung J. Jang, Joon S. Lim:
Extracting Input Features and Fuzzy Rules for Forecasting Exchange Rate Using NEWFM. New Directions in Intelligent Interactive Multimedia 2008: 165-174 - [p1]Sang-Hong Lee, Hyoung J. Jang, Joon S. Lim:
Forecasting Short-Term KOSPI Time Series Based on NEWFM. New Directions in Intelligent Interactive Multimedia 2008: 175-184 - 2007
- [c1]Soo H. Chai, Joon S. Lim:
Economic Turning Point Forecasting Using Neural Network with Weighted Fuzzy Membership Functions. IEA/AIE 2007: 145-154
Coauthor Index
aka: Zhen-Xing Zhang
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