Sung-Bae Cho

Sung-Bae Cho, Geum-Beom Song, Sung-Bae Cho, 2000, 2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00.

Behavior selection architecture for tangible agent

Sung-Bae Cho, Kyung-Joong Kim, Sang-Rok Oh, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Adaptive behaviour of fuzzy system optimized by genetic algorithm

Sung-Bae Cho, Seung-Ik Lee, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

Prediction of colon cancer using an evolutionary neural network

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2004, Neurocomputing.

Dynamic Bayesian Network Modeling and Reasoning Based on Ontology for Occluded Object Recognition of Service Robot

Sung-Bae Cho, Youn-Suk Song, 2007 .

A two-stage classification scheme with backpropagation neural network classifiers

Sung-Bae Cho, Jin H. Kim, 1992, Pattern Recognit. Lett..

Rapid backpropagation learning algorithms

Sung-Bae Cho, Jin H. Kim, Sung-Bae Cho, 1993 .

A special section on computational systems for medical and health informatics

Jie Zheng, Sung-Bae Cho, Chee Keong Kwoh, 2015 .

Multiple Decision Templates with Adaptive Features for Fingerprint Classification

Sung-Bae Cho, Jun-Ki Min, 2007, Int. J. Pattern Recognit. Artif. Intell..

Sparse fitness evaluation for reducing user burden in interactive genetic algorithm

Sung-Bae Cho, Joo-Young Lee, Sung-Bae Cho, 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

2011 IEEE Conference on Computational Intelligence and Games [Conference Reports]

Sung-Bae Cho, Kyung-Joong Kim, 2012, IEEE Comput. Intell. Mag..

Extracting Meaningful Contexts from Mobile Life Log

Sung-Bae Cho, Youngseol Lee, 2007, IDEAL.

A group emotion control system based on reinforcement learning

Sung-Bae Cho, Kee-Hoon Kim, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Fusion of Modular Bayesian Networks for Context-Aware Decision Making

Sung-Bae Cho, Seung-Hyun Lee, Sung-Bae Cho, 2012, HAIS.

Viterbi Algorithm for Intrusion Type Identification in Anomaly Detection System

Sung-Bae Cho, Ja-Min Koo, Sung-Bae Cho, 2003, WISA.

Strategies for Applying Neural Network to Real World Problems

Sung-Bae Cho, JinHyung Kim, Sung-Bae Cho, 1990 .

Interactive Learning of Scene Context Extractor Using Combination of Bayesian Network and Logic Network

Sung-Bae Cho, Keum-Sung Hwang, 2006, ACIVS.

Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices

Sung-Bae Cho, Jin-Hyuk Hong, Moon-Hee Park, 2007, UIC.

Activity recognition based on wearable sensors using selection/fusion hybrid ensemble

Sung-Bae Cho, Jun-Ki Min, Sung-Bae Cho, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

INTERPRETING CHANCE FOR COMPUTER SECURITY BY VITERBI ALGORITHM WITH EDIT DISTANCE

Sung-Bae Cho, Ja-Min Koo, 2005 .

Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services

Sung-Bae Cho, Sang-Jun Han, 2006, J. Inf. Knowl. Manag..

Swarm Intelligence in Multiple and Many Objectives Optimization: A Survey and Topical Study on EEG Signal Analysis

Sung-Bae Cho, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, 2015, Multi-objective Swarm Intelligence.

Evolving speciated checkers players with crowding algorithm

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Autonomous Language Development Using Dialogue-Act Templates and Genetic Programming

Sung-Bae Cho, Jin-Hyuk Hong, Sungsoo Lim, 2007, IEEE Transactions on Evolutionary Computation.

A Context-aware Messenger for Sharing User Contextual Information

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Ihk Yang, 2008 .

MyView: Personalized Event Retrieval and Video Compositing from Multi-camera Video Images

Sung-Bae Cho, Sidney S. Fels, Cheng Chris Zhang, 2007, HCI.

MyWorkspace: VR Platform with an Immersive User Interface

Sung-Bae Cho, Jin-Hyuk Hong, Jongwon Yoon, 2009, INTERACT 2009.

Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm

Sung-Bae Cho, Satchidananda Dehuri, Parimal Kumar Giri, 2017, 2017 International Conference on Information Technology (ICIT).

Exploiting deep convolutional neural networks for a neural-based learning classifier system

Sung-Bae Cho, Jiyoon Kim, Sung-Bae Cho, 2019, Neurocomputing.

A Bayesian tree learning method for low-power context-aware system in smartphone

Sung-Bae Cho, Kyon Mo Yang, 2014 .

Edge Preserving Region Growing for Aerial Color Image Segmentation

Sung-Bae Cho, Ashish Ghosh, Badri Narayan Subudhi, 2015, ICIC 2015.

A personalized summarization of video life-logs from an indoor multi-camera system using a fuzzy rule-based system with domain knowledge

Sung-Bae Cho, Han-Saem Park, 2011, Inf. Syst..

Rule-based integration of multiple measure-models for effective intrusion detection

Sung-Bae Cho, Sang-Jun Han, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Co-evolutionary learning with strategic coalition for multiagents

Sung-Bae Cho, Seung-Ryong Yang, 2005, Appl. Soft Comput..

Predicting user Activities in the Sequence of Mobile Context for Ambient Intelligence Environment using Dynamic Bayesian Network

Sung-Bae Cho, Han-Saem Park, Sung-Bae Cho, 2010, ICAART.

Automatic Web Service Composition Based on Behavior Network

Sung-Bae Cho, Myung-Chul Jung, Sung-Bae Cho, 2006, J. Adv. Comput. Intell. Intell. Informatics.

A Hybrid Context-Aware Wearable System with Evolutionary Optimization and Selective Inference of Dynamic Bayesian Networks

Sung-Bae Cho, Jun-Ki Min, 2011, HAIS.

Automatic Response and Conceptual Browsing of Internet FAQs Using Self-Organizing Maps

Sung-Bae Cho, Joon-Hyun Ahn, Jung-Won Ryu, 2002 .

Geometric Structure Analysis of Document Images: A Knowledge-Based Approach

Sung-Bae Cho, Yoon-Chul Choy, Kyong-Ho Lee, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Development of an ultra wideband ground penetrating radar (UWB GPR) for nondestructive testing of underground objects

Sung-Bae Cho, Kwan-Ho Kim, Dong-Gi Youn, 2004, IEEE Antennas and Propagation Society Symposium, 2004..

Swarm Intelligence and Neural Networks

Sung-Bae Cho, Satchidananda Dehuri, Susmita Ghosh, 2011, Integration of Swarm Intelligence and Artificial Neural Network.

Office Delivery Robot Controlled by Modular Behavior Selection Networks with Planning Capability

Sung-Bae Cho, Young-Seol Lee, 2014 .

Effective Intrusion Type Identification with Edit Distance for HMM-Based Anomaly Detection System

Sung-Bae Cho, Ja-Min Koo, 2005, PReMI.

Correlation analysis and performance evaluation of distance measures for evolutionary neural networks

Sung-Bae Cho, Kyung-Joong Kim, Jung Guk Park, 2011, J. Intell. Fuzzy Syst..

Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network pdf

Sung-Bae Cho, Wonsup Shin, Tae-Young Kim, 2019, ArXiv.

Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks

Sung-Bae Cho, Tae-Young Kim, Sung-Bae Cho, 2018, IDEAL.

Application of Choquet Integral to Efficient Aggregation of Neural Networks

Sung-Bae Cho, Sung-Bae Cho, 2000, J. Adv. Comput. Intell. Intell. Informatics.

Document Reverse Engineering: From Paper to XML

Sung-Bae Cho, Yoon-Chul Choy, Kyong-Ho Lee, 2002, Document Analysis Systems.

Mixed-Initiative Human–Robot Interaction Using Hierarchical Bayesian Networks

Sung-Bae Cho, Jin-Hyuk Hong, Youn-Suk Song, 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

A brain-computer interface for shared vehicle control on TORCS car racing game

Sung-Bae Cho, Dahee Kim, Sung-Bae Cho, 2014, 2014 10th International Conference on Natural Computation (ICNC).

Structure evolution of dynamic Bayesian network for traffic accident detection

Sung-Bae Cho, Youngseol Lee, Ju-Won Hwang, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Pattern Classification for Biological Data Mining

Sung-Bae Cho, Sung-Bae Cho, 2002 .

Planning-driven behavior selection network for controlling a humanoid robot

Sung-Bae Cho, Yu-Jung Chae, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Fusion of Evolutionary Neural Networks Speciated by Fitness Sharing

Sung-Bae Cho, Joon-Hyun Ahn, 2002 .

Ensemble classifiers based on correlation analysis for DNA microarray classification

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2006, Neurocomputing.

Train Booking Agent with Adaptive Sentence Generation Using Interactive Genetic Programming

Sung-Bae Cho, Sungsoo Lim, 2006 .

Classifying 3-dimensional point light actors' gender using structure-adaptive self-organizing map

Sung-Bae Cho, Jungwon Ryu, 2009 .

Human activity recognition with smartphone sensors using deep learning neural networks

Sung-Bae Cho, Charissa Ann Ronao, Sung-Bae Cho, 2016, Expert Syst. Appl..

Development of Conversational Interface Platform Based on MS Robotics Studio for Integrated Service Robots

Sung-Bae Cho, Sungsoo Lim, 2009 .

Optimal partial filters of EEG signals for shared control of vehicle

Sung-Bae Cho, Won-Gil Huh, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Evolutionary Learning of Modular Neural Networks with Genetic Programming

Sung-Bae Cho, Katsunori Shimohara, Sung-Bae Cho, 1998, Applied Intelligence.

Building Mobile Social Network with Semantic Relation Using Bayesian NeTwork-based Life-log Mining

Sung-Bae Cho, Han-Saem Park, 2010, 2010 IEEE Second International Conference on Social Computing.

Automatic Weblog Generation from Mobile Context using Bayesian Network and Petri Net

Sung-Bae Cho, Young-Seol Lee, 2010 .

Optimal view selection and event retrieval in multi-camera office environment

Sung-Bae Cho, Jun-Ki Min, Han-Saem Park, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Evolutionary modular neural networks for intelligent systems

Sung-Bae Cho, Sung-Bae Cho, 1998, Int. J. Intell. Syst..

Intention-response model based on mirror neuron and theory of mind

Sung-Bae Cho, Yu-Jung Chae, 2014, 2014 10th International Conference on Natural Computation (ICNC).

A Comparison of Data Mining Techniques for Anomaly Detection in Relational Databases

Sung-Bae Cho, Charissa Ann Ronao, 2015, ICDS 2015.

Evolving neural NPCs with layered influence map in the real-time simulation game ‘Conqueror’

Sung-Bae Cho, Su-Hyung Jang, Sung-Bae Cho, 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

Two-Stage User Mobility Modeling for Intention Prediction for Location-Based Services

Sung-Bae Cho, Jin-Hyuk Hong, Moon-Hee Park, 2006, IDEAL.

On-line handwriting recognition with a neuro-fuzzy method

Sung-Bae Cho, 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..

Context-aware smartphone application category recommender system with modularized Bayesian networks

Sung-Bae Cho, Woo-Hyun Rho, 2014, 2014 10th International Conference on Natural Computation (ICNC).

Mobile Gesture Recognition Using Hierarchical Recurrent Neural Network with Bidirectional Long Short-Term Memory

Sung-Bae Cho, Myeong-Chun Lee, 2012 .

Neural Network Ensemble with Negatively Correlated Features for Cancer Classification

Sung-Bae Cho, Hong-Hee Won, 2003, ICANN.

Fitness approximation for genetic algorithm using combination of approximation model and fuzzy clustering technique

Sung-Bae Cho, Jongwon Yoon, 2010, IEEE Congress on Evolutionary Computation.

Sophisticated Methods for Cancer Classification Using Microarray Data

Sung-Bae Cho, Han-Saem Park, Sung-Bae Cho, 2007, Analysis of Biological Data: A Soft Computing Approach.

Dynamically Subsumed-OVA SVMs for Fingerprint Classification

Sung-Bae Cho, Jin-Hyuk Hong, 2006, PRICAI.

Learning Classifier System for Generating Various Types of Dialogues in Conversational Agent

Sung-Bae Cho, Eun-Kyung Yun, 2003, IDEAL.

Strategic Coalition for Improving Generalization Ability of Multi-agent with Evolutionary Learning

Sung-Bae Cho, 양승룡, Sung-Bae Cho, 2004 .

Activity-Object Bayesian Networks for Detecting Occluded Objects in Uncertain Indoor Environment

Sung-Bae Cho, Il Hong Suh, Youn-Suk Song, 2005, KES.

Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers

Sung-Bae Cho, Jin-Hyuk Hong, Jun-Ki Min, 2008, Pattern Recognit..

Emotional image and musical information retrieval with interactive genetic algorithm

Sung-Bae Cho, Sung-Bae Cho, 2004, Proc. IEEE.

Anomaly Detection of Computer Usage Using Artificial Intelligence Techniques

Sung-Bae Cho, Jongho Choy, 2000, PRICAI Workshops.

A Mobile Context Sharing System Using Activity and Emotion Recognition with Bayesian Networks

Sung-Bae Cho, Han-Saem Park, Keunhyun Oh, 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

Efficient huge-scale feature selection with speciated genetic algorithm

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2005 .

Ensemble Approaches of Support Vector Machines for Multiclass Classification

Sung-Bae Cho, Jin-Hyuk Hong, Jun-Ki Min, 2007, PReMI.

Enhancing hand gesture recognition using fuzzy clustering-based mixture-of-experts model

Sung-Bae Cho, Jun-Ki Min, Jongwon Yoon, 2011, ICUIMC '11.

Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database

Sung-Bae Cho, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2016, Pattern Recognit. Lett..

Hierarchical modular Bayesian networks for low-power context-aware smartphone

Sung-Bae Cho, Jae-Min Yu, Sung-Bae Cho, 2017, Neurocomputing.

Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification

Sung-Bae Cho, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2013, Int. J. Appl. Evol. Comput..

Wavelet Encoding for Interactive Genetic Algorithm in Emotional Image Retrieval

Sung-Bae Cho, Joo Young Lee, Sung-Bae Cho, 2000 .

Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network

Sung-Bae Cho, Moon-Hee Park, Han-Saem Park, 2015, Int. J. Inf. Technol. Decis. Mak..

Towards Optimal Feature and Classifier for Gene Expression Classification of Cancer

Sung-Bae Cho, Jungwon Ryu, 2002, AFSS.

Gender recognition of human behaviors using ensembles of neural network classifiers

Sung-Bae Cho, Jungwon Ryu, 2002, Int. J. Comput. Syst. Signals.

Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm

Seung-Ik Lee, Sung-Bae Cho, Sung-Bae Cho, 2001, IEEE Trans. Syst. Man Cybern. Part B.

An Associative Search System for Mobile Life-log Semantic Networks based on Visualization

Sung-Bae Cho, Yong-Jun Kim, Keun-Hyun Oh, 2010 .

Mobile robot learning by evolution of fuzzy controller

Seung-Ik Lee, Sung-Bae Cho, 1998, J. Intell. Fuzzy Syst..

A Robust Fingerprint Classification using SVMs with Adaptive Features

Sung-Bae Cho, Jun-Ki Min, 2008 .

Predicting residential energy consumption using CNN-LSTM neural networks

Sung-Bae Cho, Tae Young Kim, Sung-Bae Cho, 2019, Energy.

Evolutionary neural networks for practical applications

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2011, J. Intell. Fuzzy Syst..

Ensemble of structure-adaptive self-organizing maps for high performance classification

Sung-Bae Cho, Sung-Bae Cho, 2000, Inf. Sci..

Fuzzy-Rough Entropy Measure and Histogram Based Patient Selection for miRNA Ranking in Cancer

Sung-Bae Cho, Sankar K. Pal, Shubhra Sankar Ray, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Logical Structure Analysis and Generation for Structured Documents: A Syntactic Approach

Sung-Bae Cho, Yoon-Chul Choy, Kyong-Ho Lee, 2003, IEEE Trans. Knowl. Data Eng..

Game AI Competitions: An Open Platform for Computational Intelligence Education [Educational Forum]

Sung-Bae Cho, Kyung-Joong Kim, 2013, IEEE Computational Intelligence Magazine.

On the mining of fuzzy association rule using multi-objective genetic algorithms

Sung-Bae Cho, Satchidananda Dehuri, Harihar Kalia, 2016, Int. J. Data Min. Model. Manag..

CalcGen Sequence Assembler Using a Spatio-temporally Efficient DNA Sequence Search Algorithm☆

Sung-Bae Cho, Kyong Oh Yoon, Sung-Bae Cho, 2013 .

Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities

Sung-Bae Cho, Kee-Hoon Kim, Sung-Bae Cho, 2017, Sensors.

Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending

Sung-Bae Cho, Aleum Kim, Sung-Bae Cho, 2017, ICONIP.

Online Learning of Bayesian Network Parameters with Incomplete Data

Sung-Bae Cho, Sungsoo Lim, Sung-Bae Cho, 2006, ICIC.

A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory

Sung-Bae Cho, Ji-Oh Yoo, Han-Saem Park, 2006, FSKD.

Neo-statistical methods of recognition: Neural network, hidden Markov model, and their hybridization

Sung-Bae Cho, 1994 .

Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model

Sung-Bae Cho, Sang-Jun Han, 2006, ICANN.

Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2007, ICONIP.

Fusion of structure adaptive self-organizing maps using fuzzy integral

Sung-Bae Cho, Kyung-Joong Kim, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Generation of Emergent Game Character's Behavior with Evolution Engine

Sung-Bae Cho, Jin-Hyuk Hong, 2003 .

A Fuzzy Rule-Based System with Ontology for Summarization of Multi-camera Event Sequences

Sung-Bae Cho, Han-Saem Park, 2008, ICAISC.

Random Forests with Weighted Voting for Anomalous Query Access Detection in Relational Databases

Sung-Bae Cho, Charissa Ann Ronao, 2015, ICAISC.

Adaptive behaviors of reactive mobile robot with Bayesian inference in nonstationary environments

Sung-Bae Cho, Hyeun-Jeong Min, Sung-Bae Cho, 2010, Applied Intelligence.

A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization

Sung-Bae Cho, Rahul Roy, Satchidananda Dehuri, 2011, Int. J. Appl. Metaheuristic Comput..

Fingerprint Image Quality Analysis for Knowledge-based Image Enhancement

Sung-Bae Cho, 윤은경, 2004 .

A Storage and Retrieval System for Structured SGML Documents using Grove

Sung-Bae Cho, Hak-Gyoon Kim, 2002 .

Evolving Reactive NPCs for the Real-Time Simulation Game

Sung-Bae Cho, Jin-Hyuk Hong, 2005, CIG.

Online Learning of Bayesian Network Parameters for Incomplete Data of Real World

Sung-Bae Cho, Sung-Soo Lim, 2006 .

MEH: modular evolvable hardware for designing complex circuits

Sung-Bae Cho, Jin-Hyuk Hong, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

A Bayesian Inference Model for Landmarks Detection on Mobile Devices

Sung-Bae Cho, Keum-Sung Hwang, Jong-Ho Lea, 2007 .

The Dempster-Shafer Approach to Map-Building for an Autonomous Mobile Robot with Fuzzy Controller

Sung-Bae Cho, Sang-Rok Oh, Young-Chul Kim, 2002, AFSS.

Language Learning for the Autonomous Mental Development of Conversational Agents

Sung-Bae Cho, Jin-Hyuk Hong, Sungsoo Lim, 2006, ICONIP.

Analysis of direct manipulation in interactive evolutionary computation on fitness landscape

Sung-Bae Cho, Jong-Ha Lee, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Restaurant Recommendation for Group of People in Mobile Environments Using Probabilistic Multi-criteria Decision Making

Sung-Bae Cho, Moon-Hee Park, Han-Saem Park, 2008, APCHI.

Replay-based strategy prediction and build order adaptation for StarCraft AI bots

Sung-Bae Cho, Kyung-Joong Kim, Ho-Chul Cho, 2013, 2013 IEEE Conference on Computational Inteligence in Games (CIG).

Hierarchically structured neural networks for printed Hangul character recognition

Sung-Bae Cho, J. H. Kim, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Evolutionary Image Enhancement for Impulsive Noise Reduction

Sung-Bae Cho, Jin-Hyuk Hong, Ung-Keun Cho, 2006, ICIC.

A knowledge-based automated vectorizing system for geographic information system

Sung-Bae Cho, Yoon-Chul Choy, Kyong-Ho Lee, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Application of interactive genetic algorithm to fashion design

Sung-Bae Cho, Hee-Su Kim, Sung-Bae Cho, 2000 .

Semantic management of multiple contexts in a pervasive computing framework

Sung-Bae Cho, Jun-Ki Min, Sung-Bae Cho, 2012, Expert Syst. Appl..

Automated synthesis of multiple analog circuits using evolutionary computation for redundancy-based fault-tolerance

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2012, Appl. Soft Comput..

Lymphoma Cancer Classification Using Genetic Programming with SNR Features

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2004, EuroGP.

Evolutionary conditions for the emergence of robotic theory of mind with multiple goals

Sung-Bae Cho, Kyung-Joong Kim, Kang Yong Eo, 2013, 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS).

CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network

Sung-Bae Cho, Wonsup Shin, 2018, IDEAL.

An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels

Sung-Bae Cho, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2015, Int. J. Artif. Intell. Tools.

Effective Fingerprint Classification by Localized Models of Support Vector Machines

Sung-Bae Cho, Jin-Hyuk Hong, Jun-Ki Min, 2006, ICB.

Clustering-based Multiple Non-gesture Rejection Models

Sung-Bae Cho, Jun-Ki Min, Jong-Won Yoon, 2010 .

Hybrid Evolutionary Learning of Fuzzy Logic and Genetic Algorithm

Seung-Ik Lee, Sung-Bae Cho, Sung-Bae Cho, 1996, SEAL.

Recognition of unconstrained handwritten numerals by doubly self-organizing neural network

Sung-Bae Cho, Sung-Bae Cho, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Data Mining For Gene Expression Profiles From Dna Microarray

Sung-Bae Cho, Hong-Hee Won, 2003, Int. J. Softw. Eng. Knowl. Eng..

A Neuro-Fuzzy Architecture for High Performance Classification

Sung-Bae Cho, 1994, IEEE/Nagoya-University World Wisepersons Workshop.

Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning pdf

Sung-Bae Cho, Wonsup Shin, Seok-Jun Bu, 2019, ArXiv.

DE+RBFNs based classification: A special attention to removal of inconsistency and irrelevant features

Sung-Bae Cho, Satchidananda Dehuri, Gi-Nam Wang, 2013, Eng. Appl. Artif. Intell..

A knowledge-based system for automated vectorization

Sung-Bae Cho, Yoon-Chul Choy, Kyong-Ho Lee, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

A condensed polynomial neural network for classification using swarm intelligence

Sung-Bae Cho, Satchidananda Dehuri, Ashish Ghosh, 2011, Appl. Soft Comput..

Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2012, MoMM '12.

Global/Local Hybrid Learning of Mixture-of-Experts from Labeled and Unlabeled Data

Sung-Bae Cho, Jongwon Yoon, Sung-Bae Cho, 2011, HAIS.

A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining

Sung-Bae Cho, Satchidananda Dehuri, Bijan Bihari Misra, 2008, ICONIP.

Fusion of neural networks with fuzzy logic and genetic algorithm

Sung-Bae Cho, Sung-Bae Cho, 2002, Integr. Comput. Aided Eng..

Automated Bayesian network Integration based on Ontology for Reasoning Object Existence of Service Robot

Sung-Bae Cho, Youn-Suk Song, 2008 .

Recognizing multi-modal sensor signals using evolutionary learning of dynamic Bayesian networks

Sung-Bae Cho, Youngseol Lee, 2012, Pattern Analysis and Applications.

Towards Creative Evolutionary Systems with Interactive Genetic Algorithm

Sung-Bae Cho, Sung-Bae Cho, 2002, Applied Intelligence.

Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model

Sung-Bae Cho, Jin-Young Kim, 2018, IDEAL.

Adaptive fingerprint image enhancement with fingerprint image quality analysis

Sung-Bae Cho, Eun-Kyung Yun, Sung-Bae Cho, 2006, Image Vis. Comput..

Gender recognition of human behaviors using neural ensembles

Sung-Bae Cho, Jungwon Ryu, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

An Intelligent Conversational Agent as the Web Virtual Representative Using Semantic Bayesian Networks

Sung-Bae Cho, Jin-Hyuk Hong, Kyoung Min Kim, 2006, PRICAI.

A semantic Bayesian network approach to retrieving information with intelligent conversational agents

Sung-Bae Cho, Jin-Hyuk Hong, Kyoung Min Kim, 2007, Inf. Process. Manag..

Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer

Sung-Bae Cho, Kyung-Joong Kim, 2010, ICONIP.

Radial basis function neural networks: a topical state-of-the-art survey

Sung-Bae Cho, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2016, Open Comput. Sci..

Automatic Construction of Hierarchical Bayesian Networks for Topic Inference of Conversational Agent

Sung-Bae Cho, Sungsoo Lim, 2006 .

Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2011, HAIS.

Genetic neuro-fuzzy architectures for advanced intelligent systems

Sung-Bae Cho, 1996, IFIP World Conference on IT Tools.

Exploiting indoor location and mobile information for context-awareness service

Sung-Bae Cho, Jin-Hyung Lee, Keum-Sung Hwang, 2012, Inf. Process. Manag..

Server-side Early Detection Method for Detecting Abnormal Players of StarCraft

Sung-Bae Cho, Kyung-Joong Kim, 2011 .

Speaker Identification Method based on Convolutional Neural Network with STFT Sound-Map

Sung-Bae Cho, Seok-Jun Bu, 2018 .

Pattern recognition with neural networks combined by genetic algorithm

Sung-Bae Cho, Sung-Bae Cho, 1999, Fuzzy Sets Syst..

Speciated GA for optimal ensemble classifiers in DNA microarray classification

Sung-Bae Cho, Chanho Park, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Multiple network fusion using fuzzy logic

Sung-Bae Cho, Jin H. Kim, Sung-Bae Cho, 1995, IEEE Trans. Neural Networks.

Particle Swarm Optimised polynomial neural network for classification: a multi-objective view

Sung-Bae Cho, Satchidananda Dehuri, Ashish Ghosh, 2008, Int. J. Intell. Def. Support Syst..

A Sentence Reduction Method using Part-of-Speech Information and Templates

Sung-Bae Cho, Ji-Hyung Park, Kiwon Yeom, 2008 .

Combining localized fusion and dynamic selection for high-performance SVM

Sung-Bae Cho, Jin-Hyuk Hong, Jun-Ki Min, 2015, Expert Syst. Appl..

Evaluation of Deep Convolutional Neural Network Architectures for Human Activity Recognition with Smartphone Sensors

Sung-Bae Cho, Charissa Ann Ronaoo, Sung-Bae Cho, 2015 .

A hybrid personal assistant based on Bayesian networks and a rule-based system inside a smartphone

Sung-Bae Cho, Sang-Jun Han, 2005, Int. J. Hybrid Intell. Syst..

Bayesian Validation of Fuzzy Clustering for Analysis of Yeast Cell Cycle Data

Sung-Bae Cho, Kyung-Joong Kim, Si-Ho Yoo, 2005, KES.

A Lifelog Tagging Interface using High Level Context Recognizer based on Probability

Sung-Bae Cho, Young-Seol Lee, Ju-Won Hwang, 2009 .

Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles

Sung-Bae Cho, Hong-Hee Won, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Conceptual Information Extraction with Link-Based Search

Sung-Bae Cho, Kyung-Joong Kim, 2001, Web Intelligence.

Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model

Sung-Bae Cho, Jun-Ki Min, Su-Hyung Jang, 2009, UIC.

Intelligent Web interface using flexible conversational agent with semantic Bayesian networks

Sung-Bae Cho, Jin-Hyuk Hong, Kyoung-Min Kim, 2005, International Conference on Next Generation Web Services Practices (NWeSP'05).

A Hybrid Recommender System Based on AHP That Awares Contexts with Bayesian Networks for Smart TV

Sung-Bae Cho, Ji-Chun Quan, Sung-Bae Cho, 2014, HAIS.

Recognizing human activities from accelerometer and physiological sensors

Sung-Bae Cho, Sung-Ihk Yang, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

A Spontaneous Topic Change of Dialogue for Conversational Agent Based on Human Cognition and Memory

Sung-Bae Cho, Sungsoo Lim, Keunhyun Oh, 2010, ICAART.

An Effective Conversational Agent with User Modeling Based on Bayesian Network

Seung-Ik Lee, Sung-Bae Cho, Chul Sung, 2001, Web Intelligence.

Domain-Adaptive Conversational Agent with Two-Stage Dialogue Management

Sung-Bae Cho, Jin-Hyuk Hong, 2004, Australian Conference on Artificial Intelligence.

Deep Learning Model based on Autoencoder for Reducing Algorithmic Bias of Gender

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2019, Journal of KIISE.

Gene boosting for cancer classification based on gene expression profiles

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2009, Pattern Recognit..

Semantic Networks of Mobile Life-Log for Associative Search Based on Activity Theory

Sung-Bae Cho, Keunhyun Oh, Sung-Bae Cho, 2010, PRICAI.

Automatic Construction of Bayesian Networks for Conversational Agent

Sung-Bae Cho, Sungsoo Lim, 2005, ICIC.

Activity Recognition based on Multi-modal Sensors using Dynamic Bayesian Networks

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Ihk Yang, 2009 .

A Hierarchical Bayesian Network for Mixed-Initiative Human-Robot Interaction

Sung-Bae Cho, Jin-Hyuk Hong, Youn-Suk Song, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Optimal Gene Selection for Cancer Classification with Partial Correlation and k-Nearest Neighbor Classifier

Sung-Bae Cho, Si-Ho Yoo, 2004, PRICAI.

Analysis of evolutionary process using evolutionary activity and modular schema analysis

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2010, IEEE Congress on Evolutionary Computation.

Improvement of Classification Rate of Handwritten Digits by Combining Multiple Dynamic Topology-Preserving Self-Organizing Maps

Sung-Bae Cho, Hyun-Don Kim, 2001 .

Weapon target assignment problem: multi-objective formulation, optimisation using MOPSO and TOPSIS

Sung-Bae Cho, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, 2015, Int. J. Intell. Def. Support Syst..

Immersive Virtual Reality based on Mixture-of-Experts

Sung-Bae Cho, Jun-Ki Min, Jong-Won Yoon, 2010 .

Hybrid Intelligent Techniques for Intelligent Personal Assistant in Digital Convergence

Sung-Bae Cho, 2004, HIS.

Evaluation of Distance Measures for Speciated Evolutionary Neural Networks in Pattern Classification Problems

Sung-Bae Cho, Kyung-Joong Kim, 2009, ICONIP.

Lost Student Tracking in an Incomplete and Imprecise Information Environment Using Soft Computing Paradigm

Sung-Bae Cho, Satchidananda Dehuri, Satya Ranjan Dash, 2012, Int. J. Artif. Life Res..

Forward selection method with regression analysis for optimal gene selection in cancer classification

Sung-Bae Cho, Han-Saem Park, Si-Ho Yoo, 2007, Int. J. Comput. Math..

Detecting intrusion with rule-based integration of multiple models

Sung-Bae Cho, Sang-Jun Han, Sung-Bae Cho, 2003, Comput. Secur..

Multiple recognizers system using two-stage combination

Sung-Bae Cho, Kwanyong Lee, Yillbyung Lee, 1996, Proceedings of 13th International Conference on Pattern Recognition.

KeyGraph-based chance discovery for mobile contents management system

Sung-Bae Cho, Kyung-Joong Kim, Myung-Chul Jung, 2007, Int. J. Knowl. Based Intell. Eng. Syst..

Prediction of Bank Telemarketing with Co-training of Mixture-of-Experts and MLP

Sung-Bae Cho, Jae-Min Yu, 2016, ICONIP.

An Effective HMM-Based Intrusion Detection System with Privilege Change Event Modeling

Sung-Bae Cho, Hyuk-Jang Park, 2002, PRICAI.

Incremental support vector machine for unlabeled data classification

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm

Sung-Bae Cho, Si-Ho Yoo, 2004, PPSN.

Learning Predictive Models of Memory Landmarks based on Attributed Bayesian Networks Using Mobile Context Log

이병길, 임성수, Sung-Bae Cho, 2009 .

A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster

Sung-Bae Cho, Sang Muk Jo, 2019, Neurocomputing.

BN+BN: Behavior Network with Bayesian Network for Intelligent Agent

Sung-Bae Cho, Kyung-Joong Kim, 2003, Australian Conference on Artificial Intelligence.

Checkers Strategy Evolution with Speciated Neural Networks

Sung-Bae Cho, Kyung-Joong Kim, 2002, PRICAI.

Objects Relationship Modeling for Improving Object Detection Using Bayesian Network Integration

Sung-Bae Cho, Youn-Suk Song, 2006, ICIC.

Modeling multi-agent labor market based on co-evolutionary computation and game theory

Sung-Bae Cho, Hee-Taek Kim, 2009, 2009 IEEE Congress on Evolutionary Computation.

Creative 3D Designs Using Interactive Genetic Algorithm with Structured Directed Graph

Sung-Bae Cho, Hyeun-Jeong Min, Sung-Bae Cho, 2004, PRICAI.

A Constrained Learning Method based on Ontology of Bayesian Networks for Effective Recognition of Uncertain Scenes

Sung-Bae Cho, Keum-Sung Hwang, 2007 .

Uncertainty Reasoning and Chance Discovery

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2006, Chance Discoveries in Real World Decision Making.

Honey Bee Behavior: A Multi-agent Approach for Multiple Campaigns Assignment Problem

Sung-Bae Cho, Satchidananda Dehuri, Alok Kumar Jagadev, 2008, 2008 International Conference on Information Technology.

Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder

Sung-Bae Cho, Jin Young Kim, Sung-Bae Cho, 2019, Energies.

Deep Dense Convolutional Networks for Repayment Prediction in Peer-to-Peer Lending

Sung-Bae Cho, Ji-Yoon Kim, 2018, SOCO-CISIS-ICEUTE.

Practical Applications of Soft Computing in Engineering

Sung-Bae Cho, 2001 .

A Review of Performance Evaluation for Biometrics Systems

Sung-Bae Cho, Jin-Hyuk Hong, Eun-Kyung Yun, 2005, Int. J. Image Graph..

Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System

Sung-Bae Cho, Han-Saem Park, Keunhyun Oh, 2011, Int. J. Distributed Sens. Networks.

Layered hidden Markov models to recognize activity with built-in sensors on Android smartphone

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2016, Pattern Analysis and Applications.

Fingerprint Image Generation using Filter Combination based on the Genetic Algorithm

Sung-Bae Cho, Jin-Hyuk Hong, Ung-Keun Cho, 2007 .

Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models

Sung-Bae Cho, Charissa Ann Ronao, Sung-Bae Cho, 2017, Int. J. Distributed Sens. Networks.

Adaptive Enhancing of Fingerprint Image with Image Characteristics Analysis

Sung-Bae Cho, Jin-Hyuk Hong, Eun-Kyung Yun, 2004, Australian Conference on Artificial Intelligence.

Bayesian and behavior networks for context-adaptive user interface in a ubiquitous home environment

Sung-Bae Cho, Injee Song, Sung-Bae Cho, 2013, Expert Syst. Appl..

Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency

Sung-Bae Cho, Seok-Jun Bu, 2018, IDEAL.

Toward Person Authentication with Point Light Display Using Neural Network Ensembles

Sung-Bae Cho, Frank E. Pollick, Sung-Bae Cho, 2003, AVBPA.

Multi-class Cancer Classification with OVR-Support Vector Machines Selected by Naïve Bayes Classifier

Sung-Bae Cho, Jin-Hyuk Hong, 2006, ICONIP.

A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis

Sung-Bae Cho, Satchidananda Dehuri, Alok Kumar Jagadev, 2020, J. King Saud Univ. Comput. Inf. Sci..

Efficient Microarray Data Classification with Three-Stage Dimensionality Reduction

Sung-Bae Cho, Satchidananda Dehuri, B. B. Misra, 2015, ICIC 2015.

Coordination of multiple behavior modules evolved on CAM-Brain

Sung-Bae Cho, Kyung-Joong Kim, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition

Sung-Bae Cho, Sung-Bae Cho, 1997, Neural Computation.

(A) framework for practical applications of neural network classifiers = 신경망 분류기의 현실적 적용을 위한 방법론

조성배, Sung-Bae Cho, 1993 .

Generating Cartoon-Style Summary of Daily Life with Multimedia Mobile Devices

Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang, 2007, IEA/AIE.

Social and Personal Context Modeling for Contact List Recommendation on Mobile Device

Sung-Bae Cho, Jun-Ki Min, Hee-Taek Kim, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Intrusion Detection for Computer Security

Sung-Bae Cho, Sang Jun Han, 2004, Computationally Intelligent Hybrid Systems.

A comprehensive survey on functional link neural networks and an adaptive PSO–BP learning for CFLNN

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2010, Neural Computing and Applications.

Evolving CAM-Brain to control a mobile robot

Sung-Bae Cho, Geum-Beom Song, Sung-Bae Cho, 2000, Appl. Math. Comput..

An Optimal Feature Selection Method based on Random Forests for Activity Recognition with Smartphone Sensors

Sung-Bae Cho, Charissa Ann Ronao, 2014 .

An Efficient Energy Management System for Android Phone Using Bayesian Networks

Sung-Bae Cho, Youngseol Lee, 2012, 2012 32nd International Conference on Distributed Computing Systems Workshops.

Applying accuracy-based LCS to detecting anomalous database access

Sung-Bae Cho, Suin Seo, 2018, GECCO.

Bayesian Inferrence and Context-Tree Matching Method for Intelligent Services in a Mobile Environment

Sung-Bae Cho, Jun-Ki Min, Hee-Taek Kim, 2009 .

Evolutionary ensemble of diverse artificial neural networks using speciation

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2008, Neurocomputing.

Evolutionarily optimized features in functional link neural network for classification

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2010, Expert Syst. Appl..

Integrated modular Bayesian networks with selective inference for context-aware decision making

Sung-Bae Cho, Seung-Hyun Lee, Kyon-Mo Yang, 2015, Neurocomputing.

Machine Learning in DNA Microarray Analysis for Cancer Classification

Sung-Bae Cho, Hong-Hee Won, Sung-Bae Cho, 2003, APBC.

A novel method based on behavior network for Web service composition

Sung-Bae Cho, Myung-Chul Jung, 2005, International Conference on Next Generation Web Services Practices (NWeSP'05).

Development of User Interface and Blog based on Probabilistic Model for Life Log Sharing and Management

Sung-Bae Cho, Se-Won Oh, Keum-Sung Hwang, 2009 .

Evolutionary Algorithms for Board Game Players with Domain Knowledge

Sung-Bae Cho, Kyung-Joong Kim, 2007, Advanced Intelligent Paradigms in Computer Games.

Automatic Creation of 3D Artificial Flowers with Interactive Evaluation on Evolutionary Engine

Sung-Bae Cho, Hyeun-Jeong Min, Sung-Bae Cho, 2003 .

A data reduction method for efficient document skew estimation based on Hough transformation

Sung-Bae Cho, Yillbyung Lee, Younki Min, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Evolutionary Aggregation and Refinement of Bayesian Networks

Sung-Bae Cho, Kyung-Joong Kim, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Diverse Evolutionary Neural Networks Based on Information Theory

Sung-Bae Cho, Kyung-Joong Kim, 2007, ICONIP.

Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

Sung-Bae Cho, Jin-Young Kim, Seok-Jun Bu, 2018, Inf. Sci..

A Hybrid System of Hierarchical Planning of Behaviour Selection Networks for Mobile Robot Control

Sung-Bae Cho, Young Seol Lee, 2014 .

Estimating efficiency in the categorization of biological motion

Sung-Bae Cho, Frank E. Pollick, Jungwon Ryu, 2010 .

An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification

Sung-Bae Cho, Rahul Roy, Satchidananda Dehuri, 2012, J. Syst. Softw..

Generating Diverse Behaviors of Evolutionary Robots with Speciation for Theory of Mind

Sung-Bae Cho, Si-Hyuk Yi, 2012, SEAL.

Usability Test and Behavior Generation of Intelligent Synthetic Character using Bayesian Networks and Behavior Networks

Sung-Bae Cho, Jong-Won Yoon, 2009 .

Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2014, Neurocomputing.

BSR (Buzz, Squeak, Rattle) noise classification based on convolutional neural network with short-time Fourier transform noise-map

Sung-Bae Cho, Seok-Jun Bu, Se-Min Moon, 2018 .

Application of Self-Organizing Maps to Classification and Browsing of FAQ E-mails

Sung-Bae Cho, Hyun-Don Kim, 2000, PRICAI Workshops.

Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection

Sung-Bae Cho, Satchidananda Dehuri, Gi-Nam Wang, 2015, Informatica.

An Efficient Attribute Ordering Optimization in Bayesian Networks for Prognostic Modeling of the Metabolic Syndrome

Sung-Bae Cho, Han-Saem Park, 2006, ICIC.

An Energy Saving System for Smartphone GPS Sensors Using Bayesian Networks Modeling

Sung-Bae Cho, Si-Hyuk Yi, 2012 .

Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2012, Int. J. Fuzzy Syst. Appl..

Human Activity Inference Using Hierarchical Bayesian Network in Mobile Contexts

Sung-Bae Cho, Youngseol Lee, 2011, ICONIP.

Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2009, Comput. Sci. Rev..

Epileptic seizure identification from electroencephalography signal using DE-RBFNs ensemble

Sung-Bae Cho, Alok Kumar Jagadev, Satchidanada Dehuri, 2013 .

Combining multiple neural networks by fuzzy integral for robust classification

Sung-Bae Cho, Jin H. Kim, Sung-Bae Cho, 1995, IEEE Trans. Syst. Man Cybern..

Cooperative Co-evolution of Multi-agents

Sung-Bae Cho, 2001, JSAI Workshops.

Video scene retrieval with interactive genetic algorithm

Sung-Bae Cho, Hun-Woo Yoo, Sung-Bae Cho, 2007, Multimedia Tools and Applications.

Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2019, SOCO.

A Hybrid Cultural Algorithm with Local Search for Traveling Salesman Problem

Sung-Bae Cho, Yongjun Kim, 2009, 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA).

A Traffic Accident Detection and Analysis System at Intersections using Probability-based Hierarchical Network

Sung-Bae Cho, Young-Seol Lee, Ju-Won Hwang, 2010 .

Optimal Trajectory Path Generation for Jointed Structure of Excavator using Genetic Algorithm

Sung-Bae Cho, Ggyebong Jang, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Changing Topics of Dialogue for Natural Mixed-initiative Interaction of Conversational Agent based on Human Cognition and Memory

Sung-Bae Cho, Sungsoo Lim, Keunhyun Oh, 2010, ICAART.

Modular Bayesian Network for Uncertainty Handling on Mobile Device

Sung-Bae Cho, Keum-Sung Hwang, 2008 .

Fashion Design Using Interactive Genetic Algorithm with Knowledge-based Encoding

Sung-Bae Cho, Hee-Su Kim, Sung-Bae Cho, 2005 .

Cancer classification with incremental gene selection based on DNA microarray data

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2008, 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors

Sung-Bae Cho, Jin-Young Kim, Seok-Jun Bu, 2018, HAIS.

A novel particle swarm optimization for multiple campaigns assignment problem

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2008, CSTST.

Emergence of Leadership in Evolving Robot Colony

Sung-Bae Cho, Seung-Hyun Lee, Si-Hyuk Yi, 2011, ICONIP.

Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles

Sung-Bae Cho, Hyeun-Jeong Min, 2005, KES.

Anomalous query access detection in RBAC-administered databases with random forest and PCA

Sung-Bae Cho, Charissa Ann Ronao, Sung-Bae Cho, 2016, Inf. Sci..

Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform

Sung-Bae Cho, Seung-Bin Im, Sung-Bae Cho, 2006, ACIVS.

Automatic Generation of Funny Cartoons Diary for Everyday Mobile Life

Sung-Bae Cho, Myung-Chul Jung, Injee Song, 2006, Australian Conference on Artificial Intelligence.

Dynamic selection of evolved neural controllers for higher behaviors of mobile robot

Sung-Bae Cho, Kyung-Joong Kim, 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

STRIPS Planning with Modular Behavior Selection Networks for Smart Home Agents

Sung-Bae Cho, Kyon-Mo Yang, 2013, 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing.

Development of an Integrated EDI Document Generation System

Seung-Ik Lee, Sung-Bae Cho, 2000 .

A HMM-Based Location Prediction Framework with Location Recognizer Combining k-Nearest Neighbor and Multiple Decision Trees

Sung-Bae Cho, Yong-Joong Kim, 2013, HAIS.

A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning

Sung-Bae Cho, Ki-Hoon Kim, Jun-Ho Kim, 2016, HAIS.

Gesture based dialogue management using behavior network for flexibility of human robot interaction

Sung-Bae Cho, Sungsoo Lim, Jongwon Yoon, 2009, 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA).

Change Detection In XML Documents

Kyong-Ho Lee, Sung-Bae Cho, Yoon-Chul Choy, 2003 .

Evolutionary neural networks for anomaly detection based on the behavior of a program

Sung-Bae Cho, Sang-Jun Han, Sung-Bae Cho, 2005, IEEE Trans. Syst. Man Cybern. Part B.

Learning Latent Semantic Representation from Pre-defined Generative Model

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2018 .

Probabilistic Modeling for Context-Aware Service in Smart TV

Sung-Bae Cho, Kyon-Mo Yang, 2013, 2013 4th International Conference on Intelligent Systems, Modelling and Simulation.

Multiple Classifier Fusion Method based on k-Nearest Templates

Sung-Bae Cho, Jun-Ki Min, 2008 .

Analysis of an Intention-Response Model Inspired by Brain Nervous System for Cognitive Robot

Sung-Bae Cho, Jae-Min Yu, 2016, ICONIP.

An Efficient Energy Management Framework For Android Phones using Decision-Tree and Bayesian Network

Sung-Bae Cho, Young-Seol Lee, 2012 .

An Agent Response System Based on Mirror Neuron and Theory of Mind

Sung-Bae Cho, Kyon-Mo Yang, 2014, ICONIP.

The Embodiment of Autonomic Computing in the Middleware for Distributed System with Bayesian Networks

Sung-Bae Cho, Kyung-Joong Kim, Bo-Yoon Choi, 2006, ICIC.

Combining modular neural networks developed by evolutionary algorithm

Sung-Bae Cho, Sung-Bae Cho, 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

Conceptual Classification and Browsing of Internet FAQs Using Self-Organizing Neural Networks

Sung-Bae Cho, Hyun-Don Kim, Joon-Hyun Ahn, 2000, PRICAI.

Modular neural networks evolved by genetic programming

Sung-Bae Cho, Katsunori Shimohara, Sung-Bae Cho, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

A Mobile Intelligent Synthetic Character with Natural Behavior Generation

Sung-Bae Cho, Jongwon Yoon, 2010, ICAART.

Feature Selection for Designing a Novel Differential Evolution Trained Radial Basis Function Network for Classification

Sung-Bae Cho, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2013, Int. J. Appl. Metaheuristic Comput..

Environmentally realistic fingerprint-image generation with evolutionary filter-bank optimization

Sung-Bae Cho, Jin-Hyuk Hong, Ung-Keun Cho, 2012, Expert Syst. Appl..

Extracting intuitive strokes in complex structured patterns with domain knowledge

Sung-Bae Cho, Dong-Hyeop Han, 2003 .

Modular Bayesian Networks for Inferring Landmarks on Mobile Daily Life

Sung-Bae Cho, Keum-Sung Hwang, 2006, Australian Conference on Artificial Intelligence.

Structured storage and retrieval of SGML documents using Grove

Sung-Bae Cho, Hak-Gyoon Kim, Sung-Bae Cho, 2000, Inf. Process. Manag..

Grammatical Development of Evolutionary Modular Neural Networks

Sung-Bae Cho, Katsunori Shimohara, 1998, SEAL.

Knowledge-based Encoding in Interactive Genetic Algorithm for a Fashion Design Aid System

Sung-Bae Cho, Hee-Su Kim, 2000, GECCO.

An Emotional Gesture-based Dialogue Management System using Behavior Network

Sung-Bae Cho, Sungsoo Lim, Jong-Won Yoon, 2010 .

Artificial Neural Network

Sung-Bae Cho, Sung-Bae Cho, Satchidananda Dehuri, 2020, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.

An efficient algorithm to compute differences between structured documents

Sung-Bae Cho, Yoon-Chul Choy, Kyong-Ho Lee, 2004, IEEE Transactions on Knowledge and Data Engineering.

A Recurrent Neural Network with Non-gesture Rejection Model for Recognizing Gestures with Smartphone Sensors

Sung-Bae Cho, Myeong-Chun Lee, 2013, PReMI.

A lifelog browser for visualization and search of mobile everyday-life

Sung-Bae Cho, Keum-Sung Hwang, Sung-Bae Cho, 2014, Mob. Inf. Syst..

A Novel Evolutionary Approach to Image Enhancement Filter Design: Method and Applications

Sung-Bae Cho, Jin-Hyuk Hong, Ung-Keun Cho, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A Fuzzy Clustering Algorithm for Analysis of Gene Expression Profiles

Sung-Bae Cho, Han-Saem Park, Si-Ho Yoo, 2004, PRICAI.

Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features

Sung-Bae Cho, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2020 .

Dynamically subsumed-OVA SVMs for fingerprint classification

Sung-Bae Cho, Jin-Hyuk Hong, 2006 .

Evolving multiple sensory-motor controllers based on cellular neural network

Sung-Bae Cho, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments

Sung-Bae Cho, Seok-Jun Bu, Sung-Bae Cho, 2018, HAIS.

Rank-based Multiclass Gene Selection for Cancer Classification with Naive Bayes Classifiers based on Gene Expression Profiles

Sung-Bae Cho, Jin-Hyuk Hong, 2008 .

A Two-Stage Bayesian Network for Effective Development of Conversational Agent

Sung-Bae Cho, Jin-Hyuk Hong, 2003, IDEAL.

Context-Adaptive User Interface in Ubiquitous Home Generated by Bayesian and Action Selection Networks

Sung-Bae Cho, Han-Saem Park, Injee Song, 2008, UIC.

Evolutionary modular neural networks for intelligent systems

Sung-Bae Cho, 1998 .

A human-oriented image retrieval system using interactive genetic algorithm

Sung-Bae Cho, Joo-Young Lee, Sung-Bae Cho, 2002, IEEE Trans. Syst. Man Cybern. Part A.

Evolution of emergent behaviors for shooting game characters in Robocode

Sung-Bae Cho, Jin-Hyuk Hong, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Language Generation for Conversational Agent by Evolution of Plan Trees with Genetic Programming

Sung-Bae Cho, Sungsoo Lim, 2005, MDAI.

Landmark detection from mobile life log using a modular Bayesian network model

Sung-Bae Cho, Keum-Sung Hwang, Sung-Bae Cho, 2009, Expert Syst. Appl..

Computational Systems-Biology and Bioinformatics - First International Conference, CSBio 2010, Bangkok, Thailand, November 3-5, 2010. Proceedings

Sung-Bae Cho, Yew-Soon Ong, Jonathan H. Chan, 2010, CSBio.

An evolutionary agent-based framework for modeling and analysis of labor market

Sung-Bae Cho, Jae-Min Yu, Sung-Bae Cho, 2018, Neurocomputing.

Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems

Sung-Bae Cho, Sang-Jun Han, Sung-Bae Cho, 2003, RAID.

Emotional Image Retrieval with Interactive Evolutionary Computation

Sung-Bae Cho, Joo Young Lee, Sung-Bae Cho, 1999 .

An ensemble semi-supervised learning method for predicting defaults in social lending

Sung-Bae Cho, Aleum Kim, Sung-Bae Cho, 2019, Eng. Appl. Artif. Intell..

Fuzzy Bayesian validation for cluster analysis of yeast cell-cycle data

Sung-Bae Cho, Si-Ho Yoo, Sung-Bae Cho, 2006, Pattern Recognit..

Rule-based integration of multiple neural networks evolved based on cellular automata

Sung-Bae Cho, Geum-Beom Song, 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

Mobile interface for adaptive image refinement using interactive evolutionary computing

Sung-Bae Cho, Youngseol Lee, Tae-min Jung, 2010, IEEE Congress on Evolutionary Computation.

Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation

Sung-Bae Cho, Seul-Gi Choi, 2017, SOCO-CISIS-ICEUTE.

Life Story Generation Using Mobile Context and Petri Net

Sung-Bae Cho, Youngseol Lee, 2008, ICAISC.

Automatic Generation of Diverse Cartoons using User's Profiles and Cartoon Features

Sung-Bae Cho, Myung-Chul Jung, In-Jee Song, 2007 .

A Recommendation Agent for Mobile Phone Users Using Bayesian Behavior Prediction

Sung-Bae Cho, Yongjun Kim, Sung-Bae Cho, 2009, 2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies.

Adaptive mixture-of-experts models for data glove interface with multiple users

Sung-Bae Cho, Jongwon Yoon, Sung-Ihk Yang, 2012, Expert Syst. Appl..

Agent-Based Evolutionary Labor Market Model with Strategic Coalition

Sung-Bae Cho, Jun-Ki Min, Seung-Ryong Yang, 2004, Australian Conference on Artificial Intelligence.

Dynamic quest plot generation using Petri net planning

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2012, WASA '12.

Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors

Sung-Bae Cho, Charissa Ann Ronao, Sung-Bae Cho, 2015, ICONIP.

Intelligent System Design for Episodic Memory on Mobile Daily Life

Sung-Bae Cho, 2006, Sixth International Conference on Intelligent Systems Design and Applications.

Predicting group emotion in kindergarten classes by modular Bayesian networks

Sung-Bae Cho, Jun-Ho Kim, Sung-Bae Cho, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

A modular approach to landmark detection based on a Bayesian network and categorized context logs

Sung-Bae Cho, Seung-Hyun Lee, Sungsoo Lim, 2016, Inf. Sci..

Mobile Human Network Management and Recommendation by Probabilistic Social Mining

Sung-Bae Cho, Jun-Ki Min, Sung-Bae Cho, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Applications of artificial life to developing robot and softbot

Sung-Bae Cho, Sung-Bae Cho, 2001, Artificial Life and Robotics.

A modular design of Bayesian networks using expert knowledge: Context-aware home service robot

Sung-Bae Cho, Han-Saem Park, 2012, Expert Syst. Appl..

Life Story Generation in Mobile Environments Using User Contexts and Petri Net

Sung-Bae Cho, Young-Seol Lee, 2008 .

Hierarchical Planning of Modular Behaviour Networks for Office Delivery Robot

Sung-Bae Cho, Jongwon Yoon, 2012, ICINCO.

A Context Recognition System for Various Food Intake using Mobile and Wearable Sensor Data

Sung-Bae Cho, Kee-Hoon Kim, Sung-Bae Cho, 2016 .

Neuro-fuzzy ensembler for cognitive states classification

Sung-Bae Cho, Satchidananda Dehuri, Shantipriya Parida, 2014, 2014 IEEE International Advance Computing Conference (IACC).

Multiple Classifier Fusion Using k -Nearest Localized Templates

Sung-Bae Cho, Jun-Ki Min, 2007, IDEAL.

A Theoretical and Empirical Study of Functional Link Neural Networks (FLANNs) for Classification

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2010 .

Synthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone

Sung-Bae Cho, Sang-Jun Han, 2005, KES.

Intelligent OS Process Scheduling Using Fuzzy Inference with User Models

Sung-Bae Cho, Sungsoo Lim, 2007, IEA/AIE.

A Rule-based Integration of Neural Network Modules based on Cellular Automata for Sensory-Motor Controller

Sung-Bae Cho, Kyung-Joong Kim, Geum-Beom Song, 2002 .

mtDNAmanager: a Web-based tool for the management and quality analysis of mitochondrial DNA control-region sequences

Sung-Bae Cho, Hwan Young Lee, Woo Ick Yang, 2008, BMC Bioinformatics.

A discriminative hidden Markov model recognizer with neural network postprocessor

Sung-Bae Cho, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Measuring evolvability in evolutionary fuzzy robotics

Sung-Bae Cho, Seung-Ik Lee, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

AN INTELLIGENT AGENT WITH STRUCTURED PATTERN MATCHING FOR A VIRTUAL REPRESENTATIVE

Seung-Ik Lee, Sung-Bae Cho, Sung-Bae Cho, 2001 .

A ringtone recommendation agent based on a Bayesian model of user emotion

Sung-Bae Cho, Yongjun Kim, 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

Generating a Variety of Robot Behavior Patterns using Speciation based on Phenotype

Sung-Bae Cho, Kyung-Joong Kim, Keun-Hyun Oh, 2011 .

Exploiting mobile contexts for Petri-net to generate a story in cartoons

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2011, Applied Intelligence.

Learning Classifier Systems for Adaptive Learning of Intrusion Detection System

Sung-Bae Cho, Chang-Seok Lee, 2017, SOCO-CISIS-ICEUTE.

Neural-network classifiers for recognizing totally unconstrained handwritten numerals

Sung-Bae Cho, Sung-Bae Cho, 1997, IEEE Trans. Neural Networks.

Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments

Sung-Bae Cho, Youn-Suk Song, Seung-Bin Im, 2006, FSKD.

Automatic Fingerprints Image Generation Using Evolutionary Algorithm

Sung-Bae Cho, Jin-Hyuk Hong, Ung-Keun Cho, 2007, ICB.

A serial and parallel genetic based learning algorithm for Bayesian classifier to predict metabolic syndrome

Sung-Bae Cho, Bhabani Shankar Prasad Mishra, Rahul Roy, 2011, Bangalore Compute Conf..

Evolutionary ensemble classifier for lymphoma and colon cancer classification

Sung-Bae Cho, Chanho Park, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

Sung-Bae Cho, K. Yang, 2016 .

A Context Aware DVB Recommendation System based on Real-time Adjusted User Profiles

Sung-Bae Cho, Young-Min Park, 2010 .

A Battery-Aware Energy-Efficient Android Phone with Bayesian Networks

Sung-Bae Cho, Si-Hyuk Yi, 2012, 2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing.

Automatic Fingerprints Image Generation Using Evolutionary Algorithm

Sung-Bae Cho, Jin-Hyuk Hong, Ung-Keun Cho, 2007, IEA/AIE.

An Effective Retrieval Method with Semantic Networks for Mobile Life-Log of Smartphones

Sung-Bae Cho, Hu Xu, 2013, ICONIP.

Towards Crafting a Smooth and Accurate Functional Link Artificial Neural Networks Based on Differential Evolution and Feature Selection for Noisy Database

Sung-Bae Cho, Satchidananda Dehuri, Gi-Nam Wang, 2015, Int. J. Comput. Intell. Syst..

An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms

Sung-Bae Cho, Kee Hoon Kim, Sung-Bae Cho, 2019, Appl. Soft Comput..

Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware

Sung-Bae Cho, Kyung-Joong Kim, 2009, IDEAL.

Genetic Algorithm with Knowledge-Based Encoding

Sung-Bae Cho, Hee-Su Kim, Sung-Bae Cho, 2000, PRICAI.

DNA Gene Expression Classification with Ensemble Classifiers Optimized by Speciated Genetic Algorithm

Sung-Bae Cho, Kyung-Joong Kim, 2005, PReMI.

Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification

Sung-Bae Cho, Chanho Park, 2003, ISMIS.

A Life Browser based on Probabilistic and Semantic Networks for Visualization and Retrieval of Everyday-Life

Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang, 2010 .

Machine learning approaches for cognitive state classification and brain activity prediction: A survey

Sung-Bae Cho, Satchidananda Dehuri, Shantipriya Parida, 2015 .

Evolutionary Optimization of Hyperparameters in Deep Learning Models

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

The classification of cancer based on DNA microarray data that uses diverse ensemble genetic programming

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2006, Artif. Intell. Medicine.

Emergence of cooperative coalition in NIPD game with localization of interaction and learning

Sung-Bae Cho, Xin Yao, Yeon-Gyu Seo, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Robot Action Selection for Higher Behaviors with CAM-Brain Modules

Sung-Bae Cho, Kyong-Joong Kim, 2001 .

Fuzzy aggregation of modular neural networks with ordered weighted averaging operators

Sung-Bae Cho, Sung-Bae Cho, 1995, Int. J. Approx. Reason..

Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption

Sung-Bae Cho, Taeyoung Kim, Sung-Bae Cho, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Sensor Information Fusion by Integrated AI to Control Public Emotion in a Cyber-Physical Environment

Sung-Bae Cho, Seul-Gi Choi, 2018, Sensors.

The psychological space of common media impressions held in a media database retrieval system

Sung-Bae Cho, Hideyuki Takagi, T. Noda, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

A neurocomputing framework: From methodologies to application

Sung-Bae Cho, 1996, Neurocomputing.

Cancer classification using ensemble of neural networks with multiple significant gene subsets

Sung-Bae Cho, Hong-Hee Won, Sung-Bae Cho, 2007, Applied Intelligence.

AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks

Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang, 2007, IEEE Pervasive Computing.

Evolutionary Clustering Algorithm with Knowledge-Based Evaluation for Fuzzy Cluster Analysis of Gene Expression Profiles

Sung-Bae Cho, Han-Saem Park, 2005, PReMI.

Gene expression classification using optimal feature/classifier ensemble with negative correlation

Sung-Bae Cho, Jungwon Ryu, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Accelerating evolution by direct manipulation for interactive fashion design

Sung-Bae Cho, Hee-Su Kim, Jong-Ha Lee, 2001, Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001.

Exploiting coalition in co-evolutionary learning

Sung-Bae Cho, Xin Yao, Yeon-Gyu Seo, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

Adaptive Database Intrusion Detection Using Evolutionary Reinforcement Learning

Sung-Bae Cho, Seul-Gi Choi, 2017, SOCO-CISIS-ICEUTE.

Personalized mining of web documents using link structures and fuzzy concept networks

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2007, Appl. Soft Comput..

Mining SQL Queries to Detect Anomalous Database Access using Random Forest and PCA

Sung-Bae Cho, Charissa Ann Ronao, 2015, IEA/AIE.

An Evolutionary Study on Cooperation in N-person Iterated Prisoner's Dilemma Game

Sung-Bae Cho, Yeon-Gyu Seo, 1998, SEAL.

Activity Recognition using Hierarchical Hidden Markov Models with Motion Sensors

Sung-Bae Cho, Young-Seol Lee, Dong-Woon Son, 2011 .

Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm

Sung-Bae Cho, Jongwon Yoon, Su-Hyung Jang, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset

Sung-Bae Cho, Satchidananda Dehuri, Sarat Chandra Nayak, 2019, Int. J. Artif. Intell. Tools.

An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome

Sung-Bae Cho, Rahul Roy, Satchidananda Dehuri, 2011, GECCO '11.

Hybrid Artificial Intelligent Systems

Sung-Bae Cho, Emilio Corchado, Manuel Graña, 2015, Lecture Notes in Computer Science.

A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem

Sung-Bae Cho, Rahul Roy, Satchidananda Dehuri, 2011, Int. J. Appl. Metaheuristic Comput..

P300 BCI based planning behavior selection network for humanoid robot control

Sung-Bae Cho, Myeong-Chun Lee, Sung Jae Yun, 2013, 2013 Ninth International Conference on Natural Computation (ICNC).

Learning Neural Network Ensemble for Practical Text Classification

Sung-Bae Cho, Jee-Haeng Lee, 2003, IDEAL.

Mobile Sync-application for Life Logging and High-Level Context Using Bayesian Network

Sung-Bae Cho, Youngseol Lee, Tae-min Jung, 2010, PKAW.

Fuzzy integration of structure adaptive SOMs for web content mining

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2004, Fuzzy Sets Syst..

Episodic Memory for Ubiquitous Multimedia Contents Management System

Sung-Bae Cho, Kyung-Joong Kim, Myung-Chul Jung, 2007, IEA/AIE.

KeyGraph-Based Social Network Generation for Mobile Context Sharing

Sung-Bae Cho, Youngseol Lee, Myeong-Chun Lee, 2013, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing.

Enhanced user immersive experience with a virtual reality based FPS game interface

Sung-Bae Cho, Jongwon Yoon, Su-Hyung Jang, 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.

Mobile Intelligent Synthetic Character in Smartphone Using Behavior Selection Network

Sung-Bae Cho, Jongwon Yoon, 2012, 2012 32nd International Conference on Distributed Computing Systems Workshops.

Solving Graph Coloring Problem by Fuzzy Clustering-Based Genetic Algorithm

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2012, SEAL.

Interactive Genetic Programming for the Sentence Generation of Dialogue-based Travel Planning System

Sung-Bae Cho, Jin-Hyuk Hong, Sungsoo Lim, 2004 .

Combining Multiple Host-Based Detectors Using Decision Tree

Sung-Bae Cho, Sang-Jun Han, 2003, Australian Conference on Artificial Intelligence.

Special Session on Mobile and Entertainment Computing, The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2014 .

Predicting repayment of borrows in peer‐to‐peer social lending with deep dense convolutional network

Sung-Bae Cho, Jiyoon Kim, Sung-Bae Cho, 2019, Expert Syst. J. Knowl. Eng..

Evolutionary Singularity Filter Bank Optimization for Fingerprint Image Enhancement

Sung-Bae Cho, Jin-Hyuk Hong, Ung-Keun Cho, 2006, EvoWorkshops.

A review and empirical analysis of neural networks based exchange rate prediction

Sung-Bae Cho, Satchidananda Dehuri, Alok Kumar Jagadev, 2018, Intell. Decis. Technol..

Ensemble approaches in evolutionary game strategies: A case study in Othello

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2008, 2008 IEEE Symposium On Computational Intelligence and Games.

Special Issue on Web Services Practices

Sung-Bae Cho, Ajith Abraham, Sang-Yong Han, 2006, J. Adv. Comput. Intell. Intell. Informatics.

Wrist Motion Recognition based on Nonlinear Analysis of 3D-Acceleration and Dynamic Bayesian Networks for Mobile User Interface

Sung-Bae Cho, Jun-Ki Min, Ju-Won Hwang, 2011 .

Evolutionary fuzzy cluster analysis with Bayesian validation of gene expression profiles

Sung-Bae Cho, Han-Saem Park, 2007, J. Intell. Fuzzy Syst..

Parameter Learning in Bayesian Network Using Semantic Constraints of Conversational Feedback

Sung-Bae Cho, Seung-Hyun Lee, Sungsoo Lim, 2010, PRICAI.

Evolving artificial neural networks for DNA microarray analysis

Sung-Bae Cho, Kyung-Joong Kim, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Web traffic anomaly detection using C-LSTM neural networks

Sung-Bae Cho, Tae-Young Kim, Sung-Bae Cho, 2018, Expert Syst. Appl..

Strategic Application of Feedforward Neural Networks to Large-Scale Classification

Sung-Bae Cho, Jin H. Kim, 1992, Complex Syst..

An intelligent conversational agent as the web virtual representative using semantic Bayesian networks

Sung-Bae Cho, Jin-Hyuk Hong, Kyoung Min Kim, 2006 .

Adaptive behavior of incrementally evolved neural networks based on cellular automata

Sung-Bae Cho, Geum-Beom Song, 1999 .

Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification

Sung-Bae Cho, Satchidananda Dehuri, Bijan Bihari Misra, 2008, IDEAL.

An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2008, IEEE Transactions on Evolutionary Computation.

A Method of Speech Commands Recognition with Transferred Encoder-Decoder GAN

Sung-Bae Cho, Jin-Young Kim, 2019 .

A Hybrid System of Deep Learning and Learning Classifier System for Database Intrusion Detection

Sung-Bae Cho, Seok-Jun Bu, Sung-Bae Cho, 2017, HAIS.

Fingerprint classification based on subclass analysis using multiple templates of support vector machines

Sung-Bae Cho, Jin-Hyuk Hong, Jun-Ki Min, 2010, Intell. Data Anal..

Interactive differential evolution for image enhancement application in smart phone

Sung-Bae Cho, Myeong-Chun Lee, 2012, 2012 IEEE Congress on Evolutionary Computation.

A quantitative analysis of evolvability for an evolutionary fuzzy logic controller

Seung-Ik Lee, Sung-Bae Cho, Sung-Bae Cho, 2003, Integr. Comput. Aided Eng..

Recognizing Semantic Locations from Smartphone Log with Combined Machine Learning Techniques

Sung-Bae Cho, Hu Xu, Sung-Bae Cho, 2014, 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops.

A Context-aware Mobile App Category Recommendation System with Bayesian Network

Sung-Bae Cho, 노우현, Sung-Bae Cho, 2013 .

A hybrid approach to human posture classification during TV watching

Sung-Bae Cho, Simon Fong, Jonathan H. Chan, 2016 .

Mobile context inference using two-layered Bayesian networks for smartphones

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2013, Expert Syst. Appl..

Automatic weblog generation using mobile context

Sung-Bae Cho, Youngseol Lee, 2009, MoMM.

Evolutionary Learning of Multiagents Using Strategic Coalition in the IPD Game

Sung-Bae Cho, Seung-Ryong Yang, Sung-Bae Cho, 2003, PRIMA.

Structure Analysis and Generation for Internet Documents

Sung-Bae Cho, Yoon-Chul Choy, Kyong-Ho Lee, 2003, Intelligent Exploration of the Web.

Analyzing fuzzy partitions of Saccharomyces cerevisiae cell-cycle gene expression data by Bayesian validation method

Sung-Bae Cho, Chanho Park, Si-Ho Yoo, 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble

Sung-Bae Cho, Kyung-Joong Kim, Ji-Oh Yoo, 2005, ISMIS.

Multi-objective Classification Rule Mining Using Gene Expression Programming

Sung-Bae Cho, S. Dehuri, Satchidananda Dehuri, 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

Evolutionary Computation for Information Retrieval based on User Preference

Sung-Bae Cho, Hak-Gyoon Kim, Sung-Bae Cho, 2001 .

A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System

Sung-Bae Cho, Sang-Muk Jo, 2016, HAIS.

A hybrid method of Dijkstra algorithm and evolutionary neural network for optimal Ms. Pac-Man agent

Sung-Bae Cho, Keunhyun Oh, Sung-Bae Cho, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Evolutionary Othello Players Boosted by Opening Knowledge

Sung-Bae Cho, Kyung-Joong Kim, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Evolved neural networks based on cellular automata for sensory-motor controller

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2006, Neurocomputing.

Modeling and Analysis of Agent-Based Labor Market

Sung-Bae Cho, Jae-Min Yu, 2015, SOCO.

Hierarchical Probabilistic Network-Based System for Traffic Accident Detection at Intersections

Sung-Bae Cho, Youngseol Lee, Ju-Won Hwang, 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

Accelerating evolution by direct manipulation for interactive fashion design

Sung-Bae Cho, Hee-Su Kim, Jong-Ha Lee, 2001, Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001.

A Hybrid APSO-aided Learnable Bayesian Classifier

Sung-Bae Cho, Satchidananda Dehuri, Bijaya Kumar Nanda, 2009, IICAI.

Incorporating human preference into content-based image retrieval using interactive genetic algorithm

Sung-Bae Cho, Joo Young Lee, 1999 .

Observational emergence of a fuzzy controller evolved by genetic algorithm

Seung-Ik Lee, Sung-Bae Cho, Sung-Bae Cho, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Meta-classifiers for high-dimensional, small sample classification for gene expression analysis

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2015, Pattern Analysis and Applications.

A Neural Global Workspace Model for Conscious Attention

Sung-Bae Cho, Bernard J. Baars, James Newman, 1997, Neural Networks.

Incorporating soft computing techniques into a probabilistic intrusion detection system

Sung-Bae Cho, Sung-Bae Cho, 2002, IEEE Trans. Syst. Man Cybern. Part C.

An HMM/MLP Architecture for Sequence Recognition

Sung-Bae Cho, Jin H. Kim, 1995, Neural Computation.

Probabilistic Inference of User's Context for Mobile Social Network Services

Sung-Bae Cho, Jun-Ki Min, Su-Hyung Jang, 2010 .

Robotic intelligence with behavior selection network for Bayesian network ensemble

Sung-Bae Cho, Keum-Sung Hwang, Han-Saem Park, 2009, 2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space.

Inference of other's internal neural models from active observation

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2015, Biosyst..

A Location Management System for Destination Prediction from Smartphone Sensors

Sung-Bae Cho, Sun You Kim, Sung-Bae Cho, 2014 .

Hybrid of Evolution and Reinforcement Learning for Othello Players

Sung-Bae Cho, Kyung-Joong Kim, Heejin Choi, 2007, 2007 IEEE Symposium on Computational Intelligence and Games.

An agent-based system for abnormal flow detection in semiconductor production line

Sung-Bae Cho, Dong-Chang Lee, 2017, 2017 17th International Conference on Control, Automation and Systems (ICCAS).

Online Gesture Recognition for User Interface on Accelerometer Built-in Mobile Phones

Sung-Bae Cho, Jun-Ki Min, BongWhan Choe, 2010, ICONIP.

Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection

Sung-Bae Cho, Kyung-Joong Kim, Sang-Jun Han, 2004, ICONIP.

An Intelligent Synthetic Character for Smartphone with Bayesian Networks and Behavior Selection Networks Expert Systems with Applications 3.2. User Context Recognition System User Context Recognition System Motivation System Emotion System Behavior Generation System Perception System Bayesian Networ

Sung-Bae Cho, Jongwon Yoon, Jongwon Yoon, 2022 .

Knowledge Mining Using Intelligent Agents

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2010 .

Modular dynamic Bayesian network based on Markov boundary for emotion prediction in multi-sensory environment

Sung-Bae Cho, Kyon-Mo Yang, Sung-Bae Cho, 2014, 2014 10th International Conference on Natural Computation (ICNC).

A Novel Radial Basis Function Networks Locally Tuned with Differential Evolution for Classification: An Application in Medical Science

Sung-Bae Cho, Satchidananda Dehuri, Ch. Sanjeev Kumar Dash, 2013 .

A 3D modeling system for creative design

Sung-Bae Cho, Hiroaki Nishino, Hideyuki Takagi, 2001, Proceedings 15th International Conference on Information Networking.

Observational emergence in evolutionary fuzzy robotics

Seung-Ik Lee, Sung-Bae Cho, Sung-Bae Cho, 2008, Int. J. Model. Identif. Control..

A probabilistic multi-class strategy of one-vs.-rest support vector machines for cancer classification

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Bae Cho, 2008, Neurocomputing.

Life log management based on machine learning technique

Sung-Bae Cho, Keum-Sung Hwang, Sung-Bae Cho, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

The Impact of Payoff Function and Local Interaction on the N-Player Iterated Prisoner's Dilemma

Sung-Bae Cho, Xin Yao, Yeon-Gyu Seo, 2000, Knowledge and Information Systems.

Information Recommendation in Mobile Environment using a Multi-Criteria Decision Making

Sung-Bae Cho, Moon-Hee Park, Han-Saem Park, 2008 .

Petri Net-Based Episode Detection and Story Generation from Ubiquitous Life Log

Sung-Bae Cho, Youngseol Lee, 2008, UIC.

A personalized Web search engine using fuzzy concept network with link structure

Sung-Bae Cho, Kyung-Joong Kim, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

ConaMSN: A context-aware messenger using dynamic Bayesian networks with wearable sensors

Sung-Bae Cho, Jin-Hyuk Hong, Sung-Ihk Yang, 2010, Expert Syst. Appl..

Generating optimal behaviors of mobile robot using behavior network with planning capability

Sung-Bae Cho, Kyung-Joong Kim, Hyeun-Jeong Min, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Artificial Life Technology for Adaptive Information Processing

Sung-Bae Cho, 2000 .

A Comprehensive Overview of the Applications of Artificial Life

Sung-Bae Cho, Kyung-Joong Kim, Sung-Bae Cho, 2006, Artificial Life.

Integrated Model for Informal Inference Based on Neural Networks

Sung-Bae Cho, Kyung-Joong Kim, 2007, ICONIP.

Ensemble Evolution of Checkers Players with Knowledge of Opening, Middle and Endgame

Sung-Bae Cho, Kyung-Joong Kim, 2006, PRICAI.

Ensemble bayesian networks evolved with speciation for high-performance prediction in data mining

Sung-Bae Cho, Kyung-Joong Kim, 2017, Soft Comput..

A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets

Sung-Bae Cho, Satchidananda Dehuri, Sung-Bae Cho, 2010, Neural Computing and Applications.

An efficient genetic algorithm with fuzzy c-means clustering for traveling salesman problem

Sung-Bae Cho, Jongwon Yoon, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Evolving diverse hardwares using speciated genetic algorithm

Sung-Bae Cho, Keum-Sung Hwang, Sung-Bae Cho, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

A Low-Power Context-Aware System for Smartphone Using Hierarchical Modular Bayesian Networks

Sung-Bae Cho, Jae-Min Yu, 2015, HAIS.

Automatic generation of GUI for smartphone IME by classifying user behavior patterns

Sung-Bae Cho, Sang-Muk Jo, 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

A Dining Context-Aware System with Mobile and Wearable Devices

Sung-Bae Cho, Kee-Hoon Kim, 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.

Development of an IGA-based fashion design aid system with domain specific knowledge

Sung-Bae Cho, Hee-Su Kim, Sung-Bae Cho, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Application of genetic algorithms and Gaussian Naïve Bayesian approach in pipeline for cognitive state classification

Sung-Bae Cho, Satchidananda Dehuri, Shantipriya Parida, 2014, 2014 IEEE International Advance Computing Conference (IACC).

Divide-and-Conquer Approach for Revealing the Non-dominated Solutions in Multi-objective Optimization Problem

Sung-Bae Cho, Satchidananda Dehuri, Sagar S. De, 2017, 2017 International Conference on Information Technology (ICIT).

Evolutionary attribute ordering in Bayesian networks for predicting the metabolic syndrome

Sung-Bae Cho, Han-Saem Park, Sung-Bae Cho, 2012, Expert Syst. Appl..

Modular Bayesian Network Learning for Mobile Life Understanding

Sung-Bae Cho, Keum-Sung Hwang, Sung-Bae Cho, 2008, IDEAL.

A mobile picture tagging system using tree-structured layered Bayesian networks

Sung-Bae Cho, Youngseol Lee, Sung-Bae Cho, 2013, Mob. Inf. Syst..

Modeling User Preference based on Bayesian Networks for Office Event Retrieval

Sung-Bae Cho, Han-Saem Park, Soo-Jung Lim, 2008 .

Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification

Sung-Bae Cho, Satchidananda Dehuri, Harihar Kalia, 2018, Int. J. Fuzzy Syst..

Selective Inference in Modular Bayesian Networks for Lightweight Context Inference in Cell Phones

Sung-Bae Cho, Seung-Hyun Lee, Sungsoo Lim, 2010 .

Learning Action Selection Network of Intelligent Agent

Sung-Bae Cho, Eun-Kyung Yun, 2003, Australian Conference on Artificial Intelligence.

A selective template matching algorithm for short and intuitive gesture UI of accelerometer-builtin mobile phones

Sung-Bae Cho, Jun-Ki Min, BongWhan Choe, 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack Detection

Sung-Bae Cho, Seok-Jun Bu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Anomaly Detection for Health Monitoring of Heavy Equipment Using Hierarchical Prediction with Correlative Feature Learning

Sung-Bae Cho, Gye-Bong Jang, Sung-Bae Cho, 2021, Soft Computing Models in Industrial and Environmental Applications.

Generative Adversarial Networks Using Pre-trained Generator for Effective Auditory Noise Suppression

Sung-Bae Cho, Kyunghyun Lim, 2021 .

Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions

Sung-Bae Cho, Gye-Bong Jang, Sung-Bae Cho, 2021, Sensors.

Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles

Sung-Bae Cho, Seok-Jun Bu, Hyung-Jun Moon, 2021, 2021 IEEE International Conference on Big Data and Smart Computing (BigComp).

A systematic analysis and guidelines of graph neural networks for practical applications

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2021, Expert Syst. Appl..

Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2021, Expert Syst. Appl..

Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network

Sung-Bae Cho, Seok-Jun Bu, Hyung-Jun Moon, 2021, SOCO.

Disentangled Representation Learning of User Queries for Database Insider Attack Detection System

Sung-Bae Cho, Seok-Jun Bu, Gwang-Myong Go, 2021 .

Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection

Sung-Bae Cho, Seok-Jun Bu, Sung-Bae Cho, 2021, Electronics.

Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection

Sung-Bae Cho, Seok-Jun Bu, Kyoung-Won Park, 2021, HAIS.

A deep neural network ensemble of multimodal signals for classifying excavator operations

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2021, Neurocomputing.

Cross-Domain Fault Diagnosis of Rotating Machinery Using Discriminative Feature Attention Network

Sung-Bae Cho, Jin-Young Kim, Gye-Bong Jang, 2021, IEEE Access.

Clustered embedding using deep learning to analyze urban mobility based on complex transportation data

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2021, PloS one.

Biogeography based optimization for mining rules to assess credit risk

Sung-Bae Cho, Parimal Kumar Giri, Sagar S. De, 2021, Intell. Syst. Account. Finance Manag..

Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features

Sung-Bae Cho, Jin-Young Kim, Sung-Bae Cho, 2021, Computers & Security.

Optimizing CNN-LSTM neural networks with PSO for anomalous query access control

Sung-Bae Cho, Tae-Young Kim, Sung-Bae Cho, 2021, Neurocomputing.

Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images

Sung-Bae Cho, Seok-Jun Bu, Kyoung-Won Park, 2021, IDEAL.

Evolutionary Fuzzy Clustering for Gene Expression Profile Analysis

Sung-Bae Cho, Han-Saem Park, 2006 .

A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective

Sung-Bae Cho, Carlos A. Coello Coello, Satchidananda Dehuri, 2009 .

A neurocognitive model for attention and consciousness

Sung-Bae Cho, B. J. Baars, J. Newman, 1997 .

A Non-GPS Low-Power Context-Aware System using Modular Bayesian Networks

Sung-Bae Cho, Kyon-Mo Yang, 2014 .

Predicting Destinations with Smartphone Log using Trajectory-based HMMs

Sung-Bae Cho, Sun-You Kim, 2014 .

An Evolutionary Multi Label Classification using Associative Rule Mining for Spatial Preferences

Sung-Bae Cho, Fadi A. Thabtah, Yonghong Peng, 2011 .

Evolutionary Fuzzy Clustering Algorithm with Knowledge-Based Evaluation and Applications for Gene Expression Profiling

Sung-Bae Cho, Han-Saem Park, Si-Ho Yoo, 2005 .

Estimating the efficiency of recognizing gender and affect from biological motion

Sung-Bae Cho, Frank E. Pollick, Jungwon Ryu, 2002, Vision Research.

Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression profiles

Sung-Bae Cho, Chanho Park, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Improving evolvable hardware by applying the speciation technique

Sung-Bae Cho, Keum-Sung Hwang, Sung-Bae Cho, 2009, Appl. Soft Comput..