| 2026 | AAAI | Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs. | Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park |
| 2026 | AAAI | Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning. | Hyung-Jun Moon, Sung-Bae Cho |
| 2026 | ACL | Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models. | Yoonji Kim, Jieun Kim, Yujin Jeong, Sung-Bae Cho |
| 2026 | ACL | Injecting Context via Situation Working Memory for Logical Reasoning with LLMs. | Jieun Kim, Seoha Lim, YoungHae Choi, Sung-Bae Cho |
| 2026 | EACL | Visual-Linguistic Abductive Reasoning with LLMs for Knowledge-based Visual Question Answering. | Jieun Kim, Yujin Jeong, Sung-Bae Cho |
| 2026 | HAIS | Cascaded Bias Mitigation with Multi-objective Bayesian Optimization for Credit Scoring. | Junyoung Cho, Jaeil Park, Sung-Bae Cho |
| 2026 | ICPR | Hyperbolic Spatio-Temporal Representation Learning for Unsupervised Video Anomaly Detection. | Jinmyeong Kim, Jieun Kim, Sung-Bae Cho |
| 2026 | IWINAC | GUI-Based Tools to Lecture Data Analytics: An Exploratory Data Analysis Scenario. | Kelsy Cabello-Solorzano, Alejandro Bautista-Jurez, Lus Correia, Sung-Bae Cho, Antonio J. Talln-Ballesteros |
| 2026 | IWINAC | Explainable Mortality Risk Prediction with Causality via Hierarchical Bayesian Network. | Gatum Erlangga, Jaeil Park, Sung-Bae Cho |
| 2026 | PAKDD | Graph Representation Learning with Laplacian Pyramid Residuals for Graph Classification. | Tae-Hwan Kim, Sung-Bae Cho |
| 2026 | PAKDD | Adaptive Beam Search with Shannon Entropy for Data-Centric Reasoning in LLMs. | Yoonji Kim, Yujin Jeong, Jieun Kim, Sung-Bae Cho |
| 2026 | PAKDD | Subgraph Plug-in Boosts up Graph Neural Networks. | Hyung-Jun Moon, Sung-Bae Cho |
| 2025 | HAIS | Neuro-Symbolic Reasoning with Multiple Large Language Models Combined by First-Order Logic. | Jieun Kim, Sung-Bae Cho |
| 2025 | HAIS | Knowledge Distillation of Class Activation Maps from Two Teachers for Continual Learning. | Minkai Sheng, Hyung-Jun Moon, Sung-Bae Cho |
| 2025 | ICCV | Fuzzy Contrastive Decoding to Alleviate Object Hallucination in Large Vision-Language Models. | Jieun Kim, Jinmyeong Kim, Yoonji Kim, Sung-Bae Cho |
| 2025 | IDEAL | Knowledge Modeling and Distribution Refinement in Pre-trained Model for Class-Incremental Learning. | Hae-Rin Byeon, Sung-Bae Cho |
| 2025 | WSDM | SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. | Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park |
| 2024 | CEC | Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game. | Hyung-Jun Moon, Sung-Bae Cho |
| 2024 | HAIS | Differentiable Prototypes with Distributed Memory Network for Continual Learning. | Min-Seo Kwak, Hyung-Jun Moon, Sung-Bae Cho |
| 2024 | HAIS | A Graph Neural Network with Multi-head Attention for Universal Brain Disease Diagnosis from fMRI Images. | Hyung-Jun Moon, Tae-Hoon Kang, Sung-Bae Cho |
| 2024 | ICML | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. | Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park |
| 2024 | IDEAL | Age-Unbiased Facial Emotion Recognition with Regularizing Self-Attention Value Vector. | Jaeil Park, Sung-Bae Cho |
| 2024 | IWINAC | Contrastive Learning of Multivariate Gaussian Distributions of Incremental Classes for Continual Learning. | Hyung-Jun Moon, Sung-Bae Cho |
| 2023 | ECAI | Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection. | Jaeil Park, Sung-Bae Cho |
| 2023 | HAIS | A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand. | Seok-Jun Bu, Sung-Bae Cho |
| 2023 | ICDM | Exploiting Local Information with Subgraph Embedding for Graph Neural Networks. | Hyung-Jun Moon, Sung-Bae Cho |
| 2023 | ICML | GREAD: Graph Neural Reaction-Diffusion Networks. | Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |
| 2023 | IDEAL | A Subgraph Embedded GIN with Attention for Graph Classification. | Hyung-Jun Moon, Sung-Bae Cho |
| 2023 | SIGIR | Blurring-Sharpening Process Models for Collaborative Filtering. | Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |
| 2022 | CIT | ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy. | Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho |
| 2022 | HAIS | Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification. | Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho |
| 2022 | HAIS | A Neuro-Symbolic AI System for Visual Question Answering in Pedestrian Video Sequences. | Jaeil Park, Seok-Jun Bu, Sung-Bae Cho |
| 2022 | IDEAL | Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning. | Tae-Heon Kim, Hyung-Jun Moon, Sung-Bae Cho |
| 2022 | IDEAL | A Vision Transformer Enhanced with Patch Encoding for Malware Classification. | Kyoung-Won Park, Sung-Bae Cho |
| 2021 | HAIS | Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection. | Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho |
| 2021 | ICASSP | Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack Detection. | Seok-Jun Bu, Sung-Bae Cho |
| 2021 | IDEAL | Directional Graph Transformer-Based Control Flow Embedding for Malware Classification. | Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho |
| 2021 | IDEAL | Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images. | Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho |
| 2020 | AAAI | Fair Representation for Safe Artificial Intelligence via Adversarial Learning of Unbiased Information Bottleneck. | Jin-Young Kim, Sung-Bae Cho |
| 2020 | HAIS | Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation. | Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho |
| 2020 | ICASSP | A Monte Carlo Search-Based Triplet Sampling Method for Learning Disentangled Representation of Impulsive Noise on Steering Gear. | Seok-Jun Bu, Namu Park, Gue-Hwan Nam, Jae-Yong Seo, Sung-Bae Cho |
| 2020 | ICDM | Electric Energy Demand Forecasting with Explainable Time-series Modeling. | Jin-Young Kim, Sung-Bae Cho |
| 2020 | ICDM | Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network. | Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho |
| 2020 | IDEAL | Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network. | Seok-Jun Bu, Sung-Bae Cho |
| 2020 | IDEAL | A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects. | Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho |
| 2019 | CEC | Optimal Trajectory Path Generation for Jointed Structure of Excavator using Genetic Algorithm. | Ggyebong Jang, Sung-Bae Cho |
| 2019 | CEC | Evolutionary Optimization of Hyperparameters in Deep Learning Models. | Jin-Young Kim, Sung-Bae Cho |
| 2019 | CEC | Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption. | Tae-Young Kim, Sung-Bae Cho |
| 2019 | HAIS | Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack. | Seok-Jun Bu, Sung-Bae Cho |
| 2019 | HAIS | Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model. | Tae-Young Kim, Sung-Bae Cho |
| 2019 | ICONIP | CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model. | Tae-Young Kim, Sung-Bae Cho |
| 2019 | IDEAL | A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass. | Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho |
| 2019 | IDEAL | Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data. | Jin-Young Kim, Sung-Bae Cho |
| 2019 | IDEAL | Non-stationary Noise Cancellation Using Deep Autoencoder Based on Adversarial Learning. | Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho |
| 2018 | GECCO | Applying accuracy-based LCS to detecting anomalous database access. | Suin Seo, Sung-Bae Cho |
| 2018 | HAIS | A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments. | Seok-Jun Bu, Sung-Bae Cho |
| 2018 | HAIS | Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors. | Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho |
| 2018 | IDEAL | Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency. | Seok-Jun Bu, Sung-Bae Cho |
| 2018 | IDEAL | Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks. | Tae-Young Kim, Sung-Bae Cho |
| 2018 | IDEAL | Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model. | Jin-Young Kim, Sung-Bae Cho |
| 2018 | IDEAL | CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network. | Wonsup Shin, Sung-Bae Cho |
| 2017 | CIT | Divide-and-Conquer Approach for Revealing the Non-dominated Solutions in Multi-objective Optimization Problem. | Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho |
| 2017 | CIT | Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. | Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho |
| 2017 | HAIS | A Hybrid System of Deep Learning and Learning Classifier System for Database Intrusion Detection. | Seok-Jun Bu, Sung-Bae Cho |
| 2017 | ICONIP | Malware Detection Using Deep Transferred Generative Adversarial Networks. | Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho |
| 2017 | ICONIP | Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending. | Aleum Kim, Sung-Bae Cho |
| 2017 | ICONIP | Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences. | Suin Seo, Sung-Bae Cho |
| 2017 | IDEAL | Stochastic and Non-Stochastic Feature Selection. | Antonio J. Talln-Ballesteros, Lus Correia, Sung-Bae Cho |
| 2017 | IWINAC | Visual Tools to Lecture Data Analytics and Engineering. | Sung-Bae Cho, Antonio J. Talln-Ballesteros |
| 2016 | HAIS | A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System. | Sang-Muk Jo, Sung-Bae Cho |
| 2016 | HAIS | A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning. | Jun-Ho Kim, Ki-Hoon Kim, Sung-Bae Cho |
| 2016 | ICONIP | Analysis of an Intention-Response Model Inspired by Brain Nervous System for Cognitive Robot. | Jae-Min Yu, Sung-Bae Cho |
| 2016 | ICONIP | Prediction of Bank Telemarketing with Co-training of Mixture-of-Experts and MLP. | Jae-Min Yu, Sung-Bae Cho |
| 2015 | HAIS | A Low-Power Context-Aware System for Smartphone Using Hierarchical Modular Bayesian Networks. | Jae-Min Yu, Sung-Bae Cho |
| 2015 | ICAISC | Random Forests with Weighted Voting for Anomalous Query Access Detection in Relational Databases. | Charissa Ann Ronao, Sung-Bae Cho |
| 2015 | ICONIP | Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors. | Charissa Ann Ronao, Sung-Bae Cho |
| 2014 | HAIS | A Hybrid Recommender System Based on AHP That Awares Contexts with Bayesian Networks for Smart TV. | Ji-Chun Quan, Sung-Bae Cho |
| 2014 | ICNC | Intention-response model based on mirror neuron and theory of mind. | Yu-Jung Chae, Sung-Bae Cho |
| 2014 | ICNC | A brain-computer interface for shared vehicle control on TORCS car racing game. | Dahee Kim, Sung-Bae Cho |
| 2014 | ICNC | Context-aware smartphone application category recommender system with modularized Bayesian networks. | Woo-Hyun Rho, Sung-Bae Cho |
| 2014 | ICNC | Human activity recognition using smartphone sensors with two-stage continuous hidden Markov models. | Charissa Ann Ronao, Sung-Bae Cho |
| 2014 | ICNC | Modular dynamic Bayesian network based on Markov boundary for emotion prediction in multi-sensory environment. | Kyon-Mo Yang, Sung-Bae Cho |
| 2014 | ICONIP | An Agent Response System Based on Mirror Neuron and Theory of Mind. | Kyon-Mo Yang, Sung-Bae Cho |
| 2014 | IJCNN | Planning-driven behavior selection network for controlling a humanoid robot. | Yu-Jung Chae, Sung-Bae Cho |
| 2014 | UIC | Recognizing Semantic Locations from Smartphone Log with Combined Machine Learning Techniques. | Hu Xu, Sung-Bae Cho |
| 2013 | HAIS | A HMM-Based Location Prediction Framework with Location Recognizer Combining k-Nearest Neighbor and Multiple Decision Trees. | Yong-Joong Kim, Sung-Bae Cho |
| 2013 | ICNC | P300 BCI based planning behavior selection network for humanoid robot control. | Sung Jae Yun, Myeong-Chun Lee, Sung-Bae Cho |
| 2013 | ICONIP | An Effective Retrieval Method with Semantic Networks for Mobile Life-Log of Smartphones. | Hu Xu, Sung-Bae Cho |
| 2013 | UIC | STRIPS Planning with Modular Behavior Selection Networks for Smart Home Agents. | Kyon-Mo Yang, Sung-Bae Cho |
| 2012 | CEC | Interactive differential evolution for image enhancement application in smart phone. | Myeong-Chun Lee, Sung-Bae Cho |
| 2012 | HAIS | Fusion of Modular Bayesian Networks for Context-Aware Decision Making. | Seung-Hyun Lee, Sung-Bae Cho |
| 2012 | ICINCO | Hierarchical Planning of Modular Behaviour Networks for Office Delivery Robot. | Jongwon Yoon, Sung-Bae Cho |
| 2012 | MOMM | Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones. | Youngseol Lee, Sung-Bae Cho |
| 2012 | SIGGRAPH | Dynamic quest plot generation using Petri net planning. | Youngseol Lee, Sung-Bae Cho |
| 2012 | UIC | A Battery-Aware Energy-Efficient Android Phone with Bayesian Networks. | Si-Hyuk Yi, Sung-Bae Cho |
| 2011 | CEC | Structure evolution of dynamic Bayesian network for traffic accident detection. | Ju-Won Hwang, Youngseol Lee, Sung-Bae Cho |
| 2011 | CEC | An efficient genetic algorithm with fuzzy c-means clustering for traveling salesman problem. | Jongwon Yoon, Sung-Bae Cho |
| 2011 | GECCO | An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome. | Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho |
| 2011 | HAIS | Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer. | Youngseol Lee, Sung-Bae Cho |
| 2011 | HAIS | A Hybrid Context-Aware Wearable System with Evolutionary Optimization and Selective Inference of Dynamic Bayesian Networks. | Jun-Ki Min, Sung-Bae Cho |
| 2011 | HAIS | Global/Local Hybrid Learning of Mixture-of-Experts from Labeled and Unlabeled Data. | Jongwon Yoon, Sung-Bae Cho |
| 2011 | ICONIP | Human Activity Inference Using Hierarchical Bayesian Network in Mobile Contexts. | Youngseol Lee, Sung-Bae Cho |
| 2011 | ICONIP | Emergence of Leadership in Evolving Robot Colony. | Seung-Hyun Lee, Si-Hyuk Yi, Sung-Bae Cho |
| 2011 | SMC | Activity recognition based on wearable sensors using selection/fusion hybrid ensemble. | Jun-Ki Min, Sung-Bae Cho |
| 2010 | CEC | Mobile interface for adaptive image refinement using interactive evolutionary computing. | Tae-min Jung, Youngseol Lee, Sung-Bae Cho |
| 2010 | CEC | Analysis of evolutionary process using evolutionary activity and modular schema analysis. | Youngseol Lee, Sung-Bae Cho |
| 2010 | CEC | Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory. | Seung-Hyun Lee, Han-Saem Park, Sung-Bae Cho |
| 2010 | CEC | Fitness approximation for genetic algorithm using combination of approximation model and fuzzy clustering technique. | Jongwon Yoon, Sung-Bae Cho |
| 2010 | ICAART | Changing Topics of Dialogue for Natural Mixed-initiative Interaction of Conversational Agent based on Human Cognition and Memory. | Sungsoo Lim, Keunhyun Oh, Sung-Bae Cho |
| 2010 | ICAART | A Spontaneous Topic Change of Dialogue for Conversational Agent Based on Human Cognition and Memory. | Sungsoo Lim, Keunhyun Oh, Sung-Bae Cho |
| 2010 | ICAART | Predicting user Activities in the Sequence of Mobile Context for Ambient Intelligence Environment using Dynamic Bayesian Network. | Han-Saem Park, Sung-Bae Cho |
| 2010 | ICAART | A Mobile Intelligent Synthetic Character with Natural Behavior Generation. | Jongwon Yoon, Sung-Bae Cho |
| 2010 | ICONIP | Online Gesture Recognition for User Interface on Accelerometer Built-in Mobile Phones. | BongWhan Choe, Jun-Ki Min, Sung-Bae Cho |
| 2010 | ICONIP | Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer. | Kyung-Joong Kim, Sung-Bae Cho |
| 2010 | PKAW | Mobile Sync-application for Life Logging and High-Level Context Using Bayesian Network. | Tae-min Jung, Youngseol Lee, Sung-Bae Cho |
| 2010 | PRICAI | Parameter Learning in Bayesian Network Using Semantic Constraints of Conversational Feedback. | Seung-Hyun Lee, Sungsoo Lim, Sung-Bae Cho |
| 2010 | PRICAI | Semantic Networks of Mobile Life-Log for Associative Search Based on Activity Theory. | Keunhyun Oh, Sung-Bae Cho |
| 2010 | UIC | Hierarchical Probabilistic Network-Based System for Traffic Accident Detection at Intersections. | Ju-Won Hwang, Youngseol Lee, Sung-Bae Cho |
| 2010 | UIC | A Mobile Context Sharing System Using Activity and Emotion Recognition with Bayesian Networks. | Keunhyun Oh, Han-Saem Park, Sung-Bae Cho |
| 2009 | CEC | Modeling multi-agent labor market based on co-evolutionary computation and game theory. | Hee-Taek Kim, Sung-Bae Cho |
| 2009 | ICONIP | Evaluation of Distance Measures for Speciated Evolutionary Neural Networks in Pattern Classification Problems. | Kyung-Joong Kim, Sung-Bae Cho |
| 2009 | IDEAL | Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware. | Kyung-Joong Kim, Sung-Bae Cho |
| 2009 | MOMM | Automatic weblog generation using mobile context. | Youngseol Lee, Sung-Bae Cho |
| 2009 | UIC | Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model. | Jun-Ki Min, Su-Hyung Jang, Sung-Bae Cho |
| 2008 | CIBCB | Cancer classification with incremental gene selection based on DNA microarray data. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2008 | CIT | Honey Bee Behavior: A Multi-agent Approach for Multiple Campaigns Assignment Problem. | Satchidananda Dehuri, Sung-Bae Cho, Alok Kumar Jagadev |
| 2008 | ICAISC | Life Story Generation Using Mobile Context and Petri Net. | Youngseol Lee, Sung-Bae Cho |
| 2008 | ICAISC | A Fuzzy Rule-Based System with Ontology for Summarization of Multi-camera Event Sequences. | Han-Saem Park, Sung-Bae Cho |
| 2008 | ICONIP | A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining. | Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae Cho |
| 2008 | IDEAL | Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification. | Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae Cho |
| 2008 | IDEAL | Modular Bayesian Network Learning for Mobile Life Understanding. | Keum-Sung Hwang, Sung-Bae Cho |
| 2008 | UIC | Petri Net-Based Episode Detection and Story Generation from Ubiquitous Life Log. | Youngseol Lee, Sung-Bae Cho |
| 2008 | UIC | Context-Adaptive User Interface in Ubiquitous Home Generated by Bayesian and Action Selection Networks. | Han-Saem Park, Injee Song, Sung-Bae Cho |
| 2007 | HCI | MyView: Personalized Event Retrieval and Video Compositing from Multi-camera Video Images. | Cheng Chris Zhang, Sung-Bae Cho, Sidney S. Fels |
| 2007 | ICONIP | Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2007 | ICONIP | Integrated Model for Informal Inference Based on Neural Networks. | Kyung-Joong Kim, Sung-Bae Cho |
| 2007 | ICONIP | Diverse Evolutionary Neural Networks Based on Information Theory. | Kyung-Joong Kim, Sung-Bae Cho |
| 2007 | IDEAL | Extracting Meaningful Contexts from Mobile Life Log. | Youngseol Lee, Sung-Bae Cho |
| 2007 | IDEAL | Multiple Classifier Fusion Using | Jun-Ki Min, Sung-Bae Cho |
| 2007 | UIC | Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices. | Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho |
| 2006 | ACIVS | Interactive Learning of Scene Context Extractor Using Combination of Bayesian Network and Logic Network. | Keum-Sung Hwang, Sung-Bae Cho |
| 2006 | ACIVS | Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform. | Seung-Bin Im, Sung-Bae Cho |
| 2006 | CEC | Evolutionary Othello Players Boosted by Opening Knowledge. | Kyung-Joong Kim, Sung-Bae Cho |
| 2006 | CEC | Evolutionary Aggregation and Refinement of Bayesian Networks. | Kyung-Joong Kim, Sung-Bae Cho |
| 2006 | ICANN | Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model. | Sang-Jun Han, Sung-Bae Cho |
| 2006 | ICONIP | Multi-class Cancer Classification with OVR-Support Vector Machines Selected by Nave Bayes Classifier. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2006 | ICONIP | Language Learning for the Autonomous Mental Development of Conversational Agents. | Jin-Hyuk Hong, Sungsoo Lim, Sung-Bae Cho |
| 2006 | IDEAL | Two-Stage User Mobility Modeling for Intention Prediction for Location-Based Services. | Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho |
| 2006 | ISDA | Intelligent System Design for Episodic Memory on Mobile Daily Life. | Sung-Bae Cho |
| 2006 | PRICAI | Dynamically Subsumed-OVA SVMs for Fingerprint Classification. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2006 | PRICAI | Ensemble Evolution of Checkers Players with Knowledge of Opening, Middle and Endgame. | Kyung-Joong Kim, Sung-Bae Cho |
| 2006 | PRICAI | An Intelligent Conversational Agent as the Web Virtual Representative Using Semantic Bayesian Networks. | Kyoung Min Kim, Jin-Hyuk Hong, Sung-Bae Cho |
| 2005 | ICRA | A Hierarchical Bayesian Network for Mixed-Initiative Human-Robot Interaction. | Jin-Hyuk Hong, Youn-Suk Song, Sung-Bae Cho |
| 2005 | ISMIS | Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble. | Kyung-Joong Kim, Ji-Oh Yoo, Sung-Bae Cho |
| 2005 | KES | Synthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone. | Sang-Jun Han, Sung-Bae Cho |
| 2005 | KES | Bayesian Validation of Fuzzy Clustering for Analysis of Yeast Cell Cycle Data. | Kyung-Joong Kim, Si-Ho Yoo, Sung-Bae Cho |
| 2005 | KES | Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles. | Hyeun-Jeong Min, Sung-Bae Cho |
| 2005 | KES | Activity-Object Bayesian Networks for Detecting Occluded Objects in Uncertain Indoor Environment. | Youn-Suk Song, Sung-Bae Cho, Il Hong Suh |
| 2005 | MDAI | Cancer Prediction Using Diversity-Based Ensemble Genetic Programming. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2005 | MDAI | Language Generation for Conversational Agent by Evolution of Plan Trees with Genetic Programming. | Sungsoo Lim, Sung-Bae Cho |
| 2004 | CEC | Speciated GA for optimal ensemble classifiers in DNA microarray classification. | Sung-Bae Cho, Chanho Park |
| 2004 | CEC | Evolution of emergent behaviors for shooting game characters in Robocode. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2004 | CIBCB | Analyzing fuzzy partitions of Saccharomyces cerevisiae cell-cycle gene expression data by Bayesian validation method. | Si-Ho Yoo, Chanho Park, Sung-Bae Cho |
| 2004 | EUROGP | Lymphoma Cancer Classification Using Genetic Programming with SNR Features. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2004 | HIS | Hybrid Intelligent Techniques for Intelligent Personal Assistant in Digital Convergence. | Sung-Bae Cho |
| 2004 | ICONIP | Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection. | Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho |
| 2004 | IDEAL | User Adaptive Answers Generation for Conversational Agent Using Genetic Programming. | Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho |
| 2004 | PPSN | Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm. | Si-Ho Yoo, Sung-Bae Cho |
| 2004 | PRICAI | Creative 3D Designs Using Interactive Genetic Algorithm with Structured Directed Graph. | Hyeun-Jeong Min, Sung-Bae Cho |
| 2004 | PRICAI | A Fuzzy Clustering Algorithm for Analysis of Gene Expression Profiles. | Han-Saem Park, Si-Ho Yoo, Sung-Bae Cho |
| 2004 | PRICAI | Optimal Gene Selection for Cancer Classification with Partial Correlation and k-Nearest Neighbor Classifier. | Si-Ho Yoo, Sung-Bae Cho |
| 2003 | APBC | Machine Learning in DNA Microarray Analysis for Cancer Classification. | Sung-Bae Cho, Hong-Hee Won |
| 2003 | CEC | MEH: modular evolvable hardware for designing complex circuits. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2003 | CEC | Evolving artificial neural networks for DNA microarray analysis. | Kyung-Joong Kim, Sung-Bae Cho |
| 2003 | CEC | Evolutionary ensemble classifier for lymphoma and colon cancer classification. | Chanho Park, Sung-Bae Cho |
| 2003 | ICANN | Neural Network Ensemble with Negatively Correlated Features for Cancer Classification. | Hong-Hee Won, Sung-Bae Cho |
| 2003 | IJCNN | Fusion of structure adaptive self-organizing maps using fuzzy integral. | Kyung-Joong Kim, Sung-Bae Cho |
| 2003 | IJCNN | Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression profiles. | Chanho Park, Sung-Bae Cho |
| 2003 | IJCNN | Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles. | Hong-Hee Won, Sung-Bae Cho |
| 2003 | IDEAL | Learning Neural Network Ensemble for Practical Text Classification. | Sung-Bae Cho, Jee-Haeng Lee |
| 2003 | IDEAL | A Two-Stage Bayesian Network for Effective Development of Conversational Agent. | Jin-Hyuk Hong, Sung-Bae Cho |
| 2003 | IDEAL | Learning Classifier System for Generating Various Types of Dialogues in Conversational Agent. | Eun-Kyung Yun, Sung-Bae Cho |
| 2003 | ISMIS | Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification. | Chanho Park, Sung-Bae Cho |
| 2003 | PRIMA | Evolutionary Learning of Multiagents Using Strategic Coalition in the IPD Game. | Seung-Ryong Yang, Sung-Bae Cho |
| 2003 | RAID | Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems. | Sung-Bae Cho, Sang-Jun Han |
| 2003 | SMC | Rule-based integration of multiple measure-models for effective intrusion detection. | Sang-Jun Han, Sung-Bae Cho |
| 2003 | WISA | Viterbi Algorithm for Intrusion Type Identification in Anomaly Detection System. | Ja-Min Koo, Sung-Bae Cho |
| 2002 | CEC | Evolving diverse hardwares using speciated genetic algorithm. | Keum-Sung Hwang, Sung-Bae Cho |
| 2002 | CEC | Evolving speciated checkers players with crowding algorithm. | Kyung-Joong Kim, Sung-Bae Cho |
| 2002 | CEC | Measuring evolvability in evolutionary fuzzy robotics. | Seung-Ik Lee, Sung-Bae Cho |
| 2002 | CEC | Analysis of direct manipulation in interactive evolutionary computation on fitness landscape. | Jong-Ha Lee, Sung-Bae Cho |
| 2002 | DAS | Document Reverse Engineering: From Paper to XML. | Kyong-Ho Lee, Yoon-Chul Choy, Sung-Bae Cho, Xiao Tang, Victor McCrary |
| 2002 | PRICAI | Checkers Strategy Evolution with Speciated Neural Networks. | Kyung-Joong Kim, Sung-Bae Cho |
| 2002 | PRICAI | An Effective HMM-Based Intrusion Detection System with Privilege Change Event Modeling. | Hyuk-Jang Park, Sung-Bae Cho |
| 2001 | CEC | Speciated neural networks evolved with fitness sharing technique. | Joon-Hyun Ahn, Sung-Bae Cho |
| 2001 | CEC | An efficient genetic algorithm with less fitness evaluation by clustering. | Hee-Su Kim, Sung-Bae Cho |
| 2001 | CEC | Coordination of multiple behavior modules evolved on CAM-Brain. | Kyung-Joong Kim, Sung-Bae Cho |
| 2001 | CEC | Observational emergence of a fuzzy controller evolved by genetic algorithm. | Seung-Ik Lee, Sung-Bae Cho |
| 2000 | CEC | Exploiting coalition in co-evolutionary learning. | Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao |
| 2000 | GECCO | Knowledge-based Encoding in Interactive Genetic Algorithm for a Fashion Design Aid System. | Hee-Su Kim, Sung-Bae Cho |
| 2000 | PRICAI | Intrusion Detection by Combining Multiple Hidden Markov Models. | Jongho Choy, Sung-Bae Cho |
| 2000 | PRICAI | Anomaly Detection of Computer Usage Using Artificial Intelligence Techniques. | Jongho Choy, Sung-Bae Cho |
| 2000 | PRICAI | Conceptual Classification and Browsing of Internet FAQs Using Self-Organizing Neural Networks. | Hyun-Don Kim, Joon-Hyun Ahn, Sung-Bae Cho |
| 2000 | PRICAI | Genetic Algorithm with Knowledge-Based Encoding. | Hee-Su Kim, Sung-Bae Cho |
| 2000 | PRICAI | Application of Self-Organizing Maps to Classification and Browsing of FAQ E-mails. | Hyun-Don Kim, Sung-Bae Cho |
| 1999 | CEC | Emergence of cooperative coalition in NIPD game with localization of interaction and learning. | Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao |
| 1998 | ICPR | A knowledge-based automated vectorizing system for geographic information system. | Kyong-Ho Lee, Sung-Bae Cho, Yoon-Chul Choy |
| 1998 | KES | A knowledge-based system for automated vectorization. | Kyong-Ho Lee, Sung-Bae Cho, Yoon-Chul Choy |
| 1997 | ICEC | Combining modular neural networks developed by evolutionary algorithm. | Sung-Bae Cho |
| 1997 | ICONIP | Handwritten Digit Recognition by Combining Structure-Adaptive Self-Organizing Maps. | Sung-Bae Cho |
| 1996 | ICEC | Modular Neural Networks Evolved by Genetic Programming. | Sung-Bae Cho, Katsunori Shimohara |
| 1996 | ICPR | Recognition of unconstrained handwritten numerals by doubly self-organizing neural network. | Sung-Bae Cho |
| 1996 | ICPR | A data reduction method for efficient document skew estimation based on Hough transformation. | Younki Min, Sung-Bae Cho, Yillbyung Lee |
| 1996 | ICPR | Multiple recognizers system using two-stage combination. | Jonghyun Paik, Sung-Bae Cho, Kwanyong Lee, Yillbyung Lee |
| 1990 | IJCNN | Hierarchically structured neural networks for printed Hangul character recognition. | Sung-Bae Cho, J. H. Kim |