Economic Turning Point Forecasting Using Neural Network with Weighted Fuzzy Membership Functions. - Soo H. Chai; Joon S. Lim (IEA/AIE, 2007)

Discrimination of Ventricular Arrhythmias Using NEWFM. - Zhen-Xing Zhang; Sang-Hong Lee; Joon S. Lim (AIRS, 2008)

Forecasting Short-Term KOSPI Time Series Based on NEWFM. - Sang-Hong Lee; Hongjin Kim; Hyoung J. Jang; Joon S. Lim (ALPIT, 2008)

Detecting Ventricular Arrhythmias by NEWFM. - Zhen-Xing Zhang; Sang-Hong Lee; Hyoung J. Jang; Joon S. Lim (GrC, 2008)

KOSPI Time Series Analysis Using Neural Network with Weighted Fuzzy Membership Functions. - Sang-Hong Lee; Joon S. Lim (KES-AMSTA, 2008)

Extracting Input Features and Fuzzy Rules for Forecasting Exchange Rate Using NEWFM. - Sang-Hong Lee; Hyoung J. Jang; Joon S. Lim (New Directions in Intelligent Interactive Multimedia, 2008)

Forecasting Short-Term KOSPI Time Series Based on NEWFM. - Sang-Hong Lee; Hyoung J. Jang; Joon S. Lim (New Directions in Intelligent Interactive Multimedia, 2008)

Comparing the Feature Selection Using the Distributed Non-overlap Area Measurement Method with Principal Component Analysis. - Sang-Hong Lee; Dong-Kun Shin; Zhen-Xing Zhang; Joon S. Lim (ACIS-ICIS, 2009)

Comparing Performance Results using NEWFM and Statistical Method. - Sang-Hong Lee; Dong-Kun Shin; Joon S. Lim (ICSOFT (2), 2009)

Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM. - Dong-Kun Shin; Sang-Hong Lee; Joon S. Lim (PAKDD, 2009)

Forecasting KOSPI Using a Neural Network with Weighted Fuzzy Membership Functions and Technical Indicators. - Sang-Hong Lee; Dong-Kun Shin; Joon S. Lim (PCM, 2009)

Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System. - Joon S. Lim (IEEE Trans. Neural Networks, 2009)

Comparison of feature selection methods in ECG signal classification. - Zhen-Xing Zhang; Sang-Hong Lee; Joon S. Lim (ICUIMC, 2010)

Extracting Fuzzy Rules to Classify Motor Imagery Based on a Neural Network with Weighted Fuzzy Membership Functions. - Sang-Hong Lee; Joon S. Lim; Dong-Kun Shin (NDT (1), 2010)

Classifying Sleep Disturbance Using Sleep Stage 2 and Wavelet-Based Features. - Sang-Hong Lee; Joon S. Lim (ICDIPC (2), 2011)

A fatigue detection algorithm by heart rate variability based on a neuro-fuzzy network. - Murlikrishna Viswanathan; Zhen-Xing Zhang; Xue-Wei Tian; Joon S. Lim (ICUIMC, 2011)

Forecasting KOSPI based on a neural network with weighted fuzzy membership functions. - Sang-Hong Lee; Joon S. Lim (Expert Syst. Appl., 2011)

Depression and Fatigue Analysis Using a Mental-Physical Model. - Xue-Wei Tian; Zhen-Xing Zhang; Sang-Hong Lee; Hee-Jin Yoon; Joon S. Lim (ICITCS, 2012)

A 2-D Visual Model for Sasang Constitution Classification Based on a Fuzzy Neural Network. - Zhen-Xing Zhang; Xue-Wei Tian; Joon S. Lim (ICITCS, 2012)

A Prototype Selection Algorithm Using Fuzzy k-Important Nearest Neighbor Method. - Zhen-Xing Zhang; Xue-Wei Tian; Sang-Hong Lee; Joon S. Lim (ICITCS, 2012)

Emotional-speech recognition using the neuro-fuzzy network. - Murlikrishna Viswanathan; Zhen-Xing Zhang; Xue-Wei Tian; Joon S. Lim (ICUIMC, 2012)

Parkinson's disease classification using gait characteristics and wavelet-based feature extraction. - Sang-Hong Lee; Joon S. Lim (Expert Syst. Appl., 2012)

Detection of Ventricular Fibrillation Based on Time Domain Analysis. - Sang-Hong Lee; Joon S. Lim (ICISA, 2013)

Bhattacharyya Distance for Identifying Differentially Expressed Genes in Colon Gene Experiments. - Xue-Wei Tian; Joon S. Lim (ICISA, 2013)

Lymphoma Cancer Classification Using NEWFM Based Filtering Method. - Hee-Jin Yoon; Joon S. Lim (ICISA, 2013)

Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance. - Sang-Hong Lee; Joon S. Lim; Jae-Kwon Kim; Junggi Yang; Young-Ho Lee (Comput. Methods Programs Biomed., 2014)

Detection of ventricular fibrillation using Hilbert transforms, phase-space reconstruction, and time-domain analysis. - Sang-Hong Lee; Kyung-Yong Chung; Joon S. Lim (Pers. Ubiquitous Comput., 2014)

Ventricular Fabrication Prediction Approach Based on Cloud-Mobile Healthcare Platform. - Zhen-Xing Zhang; Joon S. Lim (BWCCA, 2015)

Emotion Recognition Algorithm Based on Neural Fuzzy Network and the Cloud Technology. - Zhen-Xing Zhang; Joon S. Lim (BWCCA, 2015)

Reconstructing time series GRN using a neuro-fuzzy system. - Hee-Jin Yoon; Jongwoo Lim; Joon S. Lim (J. Intell. Fuzzy Syst., 2015)

A composite gene selection for DNA microarray data analysis. - Dong-Kyun Park; Eun-Young Jung; Sang-Hong Lee; Joon S. Lim (Multim. Tools Appl., 2015)

Feature selection for daily peak load forecasting using a neuro-fuzzy system. - Sung-Yong Son; Sang-Hong Lee; Kyungyong Chung; Joon S. Lim (Multim. Tools Appl., 2015)

Optimal prototype selection for speech emotion recognition using fuzzy k-important nearest neighbour. - Zhen-Xing Zhang; Joon S. Lim; Zhao Cai Jiang; Chunjie Zhou; Shao Jing Li (Int. J. Commun. Networks Distributed Syst., 2016)

Finding and evaluating suitable contents to recognize depression based on neuro-fuzzy algorithm. - Minwoo Kim; Joon S. Lim (ICTC, 2019)

Classification of First and Second Heart Sound basedon Novel Statistical Features. - Yeonsoo Park; Bohyung Wang; Minwoo Kim; Joon S. Lim (ICTC, 2019)

Feature Extraction Model Based on Inception V3 to Distinguish Normal Heart Sound from Systolic Murmur. - Jinhee Bae; Minwoo Kim; Joon S. Lim (ICTC, 2020)

Classification of Diagnosis of Alzheimer's Disease Based on Convolutional Layers of VGG16 Model using Speech Data. - Minwoo Kim; Hyungjun Kim; Joon S. Lim (ICTC, 2020)

Emotion Detection and Analysis from Facial Image using Distance between Coordinates Feature. - Jinhee Bae; Minwoo Kim; Joon S. Lim (ICTC, 2021)

Selecting a Suitable Feature Subset for Classification using Multi-Agent Reinforcement Learning. - Minwoo Kim; Jinhee Bae; Joon S. Lim (ICTC, 2021)

Feature selection by a distance measure method of subnormal and non-convex fuzzy sets. - Letao Qu; Bohyun Wang; Joon S. Lim (J. Intell. Fuzzy Syst., 2021)

A Study for ADHD Identification using Eye Movement Data. - Hansol Ko; Bohyun Wang; Joon S. Lim (ICEIC, 2022)

Zoom-In Neural Network Deep-Learning Model for Alzheimer's Disease Assessments. - Bohyun Wang; Joon S. Lim (Sensors, 2022)

Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents. - Minwoo Kim; Jinhee Bae; Bohyun Wang; Hansol Ko; Joon S. Lim (Sensors, 2023)

Classification Model of Clock Drawing Test Based on Contrastive Learning Using Multi-Channel Features With Channel-Spatial Attention. - Changsu Kang; Bohyun Wang; Joon S. Lim (IEEE Access, 2024)

A Novel Methodology for Forecasting Business Cycles Using ARIMA and Neural Network with Weighted Fuzzy Membership Functions. - Soo H. Chai; Joon S. Lim; Heejin Yoon; Bohyun Wang (Axioms, 2024)

An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning. - Yasir Ali; Kyung Hyun Han; Abdul Majeed 001; Joon S. Lim; Seong Oun Hwang (IEEE Access, 2025)