Handwritten Korean character image database PE92. - Daehwan Kim; Young-Sup Hwang; Sang-Tae Park; Eun-Jung Kim; Sang-Hoon Paek; Sung Yang Bang (ICDAR, 1993)

An efficient method to construct a radial basis function neural network classifier and its application to unconstrained handwritten digit recognition. - Young-Sup Hwang; Sung Yang Bang (ICPR, 1996)

An Efficient Method to Construct a Radial Basis Function Neural Network Classifier. - Young-Sup Hwang; Sung Yang Bang (Neural Networks, 1997)

Recognition of unconstrained handwritten numerals by a radial basis function neural network classifier. - Young-Sup Hwang; Sung Yang Bang (Pattern Recognit. Lett., 1997)

Segmentation of a text printed in Korean and English using structure information and character recognizers. - Young-Sup Hwang; Kyung-Ae Moon; Su-Young Chi; Dae-Geun Jang; Weon-Geun Oh (SMC, 2000)

Predicting Protein-Protein Interactions from One Feature Using SVM. - Yoojin Chung; Gyeong-Min Kim; Young-Sup Hwang; Hoon Park (IEA/AIE, 2004)

Pairwise Matching of Spots in 2-DE Images Using Hopfield Network. - Young-Sup Hwang; Hoon Park; Yoojin Chung (MDAI, 2005)

VDEES: A virtual development environment for embedded software using open source software. - Hadipurnawan Satria; Budiono Wibowo; Jin Baek Kwon; Jeong B. Lee; Young-Sup Hwang (IEEE Trans. Consumer Electron., 2009)

A semantic similarity measure in document databases: an earth mover's distance-based approach. - Min-Hee Jang; Tae-Hwan Eom; Sang-Wook Kim; Young-Sup Hwang (RACS, 2013)

Classifying Malicious Web Pages by Using an Adaptive Support Vector Machine. - Young-Sup Hwang; Jin Baek Kwon; Jae Chan Moon; Seong Je Cho (J. Inf. Process. Syst., 2013)

Computing paper similarity based on latent dirichlet allocation. - Duck-Ho Bae; Seok-Ho Yoon; Tae-Hwan Eom; Jiwoon Ha; Young-Sup Hwang; Sang-Wook Kim (ICUIMC, 2014)

Fast multi-feature pedestrian detection algorithm based on histogram of oriented gradient using discrete wavelet transform. - Gwang-Soo Hong; Byung-Gyu Kim; Young-Sup Hwang; Kee-Koo Kwon (Multim. Tools Appl., 2016)

An effective and intelligent Windows application filtering system using software similarity. - Dongjin Kim 001; Yesol Kim; Seong-je Cho; Minkyu Park; Sangchul Han; Guk-seon Lee; Young-Sup Hwang (Soft Comput., 2016)

A Seamless Screen Switching Scheme for N-Screen Services Based on Context Awareness. - Yeong Taek Hong; Young-Sup Hwang; Sang Hyuk Nam; Dan Hee Lee; Seong Jin Lee; Jae Hwan Lee; Sung Jo Kim (Wirel. Pers. Commun., 2017)

Android malware detection using convolutional neural networks and data section images. - Jaemin Jung; Jongmoo Choi; Seong-je Cho; Sangchul Han; Minkyu Park; Young-Sup Hwang (RACS, 2018)

Context-aware block-based motion estimation algorithm for multimedia internet of things (IoT) platform. - Avishek Saha; Young-Woon Lee; Young-Sup Hwang; Kostas E. Psannis; Byung-Gyu Kim (Pers. Ubiquitous Comput., 2018)

Sustainability of Machine Learning-based Android Malware Detection Using API calls and Permissions. - Woosang Cho; Hojun Lee; Sangchul Han; Young-Sup Hwang; Seong-je Cho (AIKE, 2022)

Hybrid ConvLSTM with Attention for Precise Driver Behavior Classification. - Ghulam Mustafa; Seong-Je Cho; Youngsup Hwang (AIKE, 2023)

TrafficNet: A Hybrid CNN-FNN Model for Analysis of Traffic Accidents in Seoul. - Ghulam Mustafa; Seong-je Cho; Youngsup Hwang (J. Comput. Sci. Eng., 2023)

Enhancing the Sustainability of Machine Learning-Based Malware Detection Techniques for Android Applications. - Seyeon Park; Hojun Lee; Daeun Kim; Hyeun Jun Moon; Seong-Je Cho; Youngsup Hwang; Hyoil Han; Kyoungwon Suh (IEEE Access, 2025)