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2020 – today
- 2025
[j196]Sandeep Kumar Satapathy, Sung-Bae Cho, Shruti Mishra, Sweeti Sah
, Kamaldeep, Sachi Nandan Mohanty:
A federated learning approach for classifying chest diseases from chest X-ray images. Biomed. Signal Process. Control. 100: 107107 (2025)- 2024
- [j195]Ishita Agarwal, Aanchal Singh, Aran Agarwal, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Manas Ranjan Prusty, Sachi Nandan Mohanty:
Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning. IEEE Access 12: 9963-9975 (2024) - [j194]Robin Inho Kee, Dahyun Nam, Seok-Jun Bu, Sung-Bae Cho:
Disentangled Prototypical Convolutional Network for Few-Shot Learning in In-Vehicle Noise Classification. IEEE Access 12: 66801-66808 (2024) - [j193]Gye-Bong Jang, Sung-Bae Cho:
Multi-Instance Attention Network for Anomaly Detection from Multivariate Time Series. Cybern. Syst. 55(6): 1417-1440 (2024) - [j192]Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data. SN Comput. Sci. 5(5): 545 (2024) - [j191]Sarat Chandra Nayak, Subhranginee Das, Bijan Bihari Misra, Sung-Bae Cho:
Estimation of compressive strength of concrete cement using random vector functional link networks: a case study. Soft Comput. 28(15-16): 8641-8656 (2024) - [c290]Hyung-Jun Moon, Sung-Bae Cho:
Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game. CEC 2024: 1-8 - [c289]Hyung-Jun Moon, Tae-Hoon Kang, Sung-Bae Cho:
A Graph Neural Network with Multi-head Attention for Universal Brain Disease Diagnosis from fMRI Images. HAIS (1) 2024: 85-97 - [c288]Min-Seo Kwak, Hyung-Jun Moon, Sung-Bae Cho:
Differentiable Prototypes with Distributed Memory Network for Continual Learning. HAIS (1) 2024: 286-298 - [c287]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. ICML 2024 - [c286]Hyung-Jun Moon, Sung-Bae Cho:
Contrastive Learning of Multivariate Gaussian Distributions of Incremental Classes for Continual Learning. IWINAC 2024: 518-527 - [i8]Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park:
Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR abs/2405.00287 (2024) - [i7]Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park:
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR abs/2406.03671 (2024) - 2023
- [j190]Sarat Chandra Nayak, Subhranginee Das, Satchidananda Dehuri, Sung-Bae Cho:
An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting. IEEE Access 11: 57693-57716 (2023) - [j189]Kyoung-Won Park, Sung-Bae Cho:
A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images. Appl. Soft Comput. 142: 110363 (2023) - [j188]Jin-Young Kim, Sung-Bae Cho:
Predicting Residential Energy Consumption by Explainable Deep Learning with Long-Term and Short-Term Latent Variables. Cybern. Syst. 54(3): 270-285 (2023) - [j187]Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho:
A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons. Neurocomputing 530: 60-68 (2023) - [j186]Seok-Jun Bu, Sung-Bae Cho:
Malware classification with disentangled representation learning of evolutionary triplet network. Neurocomputing 552: 126534 (2023) - [j185]Seok-Jun Bu, Sung-Bae Cho:
Triplet-trained graph transformer with control flow graph for few-shot malware classification. Inf. Sci. 649: 119598 (2023) - [c285]Seok-Jun Bu, Sung-Bae Cho:
Phishing URL Detection with Prototypical Neural Network Disentangled by Triplet Sampling. CISIS-ICEUTE 2023: 132-143 - [c284]Jaeil Park, Sung-Bae Cho:
Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection. ECAI 2023: 1851-1858 - [c283]Seok-Jun Bu, Sung-Bae Cho:
A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand. HAIS 2023: 519-532 - [c282]Hyung-Jun Moon, Sung-Bae Cho:
Exploiting Local Information with Subgraph Embedding for Graph Neural Networks. ICDM (Workshops) 2023: 1113-1120 - [c281]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
GREAD: Graph Neural Reaction-Diffusion Networks. ICML 2023: 5722-5747 - [c280]Hyung-Jun Moon, Sung-Bae Cho:
A Subgraph Embedded GIN with Attention for Graph Classification. IDEAL 2023: 356-367 - [c279]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR 2023: 1096-1106 - [e10]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14406, Springer 2023, ISBN 978-3-031-47633-4 [contents] - [e9]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14407, Springer 2023, ISBN 978-3-031-47636-5 [contents] - [e8]Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya:
Pattern Recognition - 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5-8, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14408, Springer 2023, ISBN 978-3-031-47664-8 [contents] - [i6]Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park:
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR abs/2312.16563 (2023) - 2022
- [j184]Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model. IEEE Access 10: 130921-130943 (2022) - [j183]Jin-Young Kim, Sung-Bae Cho:
Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features. Comput. Secur. 112: 102501 (2022) - [j182]Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho:
Insider attack detection in database with deep metric neural network with Monte Carlo sampling. Log. J. IGPL 30(6): 979-992 (2022) - [j181]Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho:
Prediction of exchange rate using improved particle swarm optimised radial basis function networks. Int. J. Adv. Intell. Paradigms 23(3/4): 332-356 (2022) - [j180]Jin-Young Kim, Sung-Bae Cho:
A deep neural network ensemble of multimodal signals for classifying excavator operations. Neurocomputing 470: 290-299 (2022) - [j179]Jin-Young Kim, Sung-Bae Cho:
An information theoretic approach to reducing algorithmic bias for machine learning. Neurocomputing 500: 26-38 (2022) - [j178]Enol García González, Mario Villar, Mirko Fáñez, José R. Villar, Enrique A. de la Cal, Sung-Bae Cho:
Towards effective detection of elderly falls with CNN-LSTM neural networks. Neurocomputing 500: 231-240 (2022) - [j177]Álvaro Herrero, Emilio Corchado, Michal Wozniak, Sung-Bae Cho, Slobodan Petrovic:
Cybersecurity applications of computational intelligence. Neural Comput. Appl. 34(23): 20447-20448 (2022) - [j176]Gye-Bong Jang, Sung-Bae Cho:
Cross-Domain Adaptation Using Domain Interpolation for Rotating Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-17 (2022) - [c278]Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. IEEE Big Data 2022: 565-574 - [c277]Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
ELMVDP: extreme learning based virtual data position exploration and incorporation method for escalation of time series forecasting accuracy. OCIT 2022: 129-133 - [c276]Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho:
Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification. HAIS 2022: 311-322 - [c275]Jaeil Park, Seok-Jun Bu, Sung-Bae Cho:
A Neuro-Symbolic AI System for Visual Question Answering in Pedestrian Video Sequences. HAIS 2022: 443-454 - [c274]Kyoung-Won Park, Sung-Bae Cho:
A Vision Transformer Enhanced with Patch Encoding for Malware Classification. IDEAL 2022: 289-299 - [c273]Tae-Heon Kim, Hyung-Jun Moon, Sung-Bae Cho:
Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning. IDEAL 2022: 359-368 - [e7]Herwig Unger, Young-Kuk Kim, Eenjun Hwang, Sung-Bae Cho, Stephan Pareigis, Kyandoghere Kyamakya, Young-Guk Ha, Jinho Kim, Atsuyuki Morishima, Christian Wagner, Hyuk-Yoon Kwon, Yang-Sae Moon, Carson K. Leung:
IEEE International Conference on Big Data and Smart Computing, BigComp 2022, Daegu, Korea, Republic of, January 17-20, 2022. IEEE 2022, ISBN 978-1-6654-2197-3 [contents] - [i5]Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. CoRR abs/2211.04266 (2022) - [i4]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
Perturbation-Recovery Method for Recommendation. CoRR abs/2211.09324 (2022) - [i3]Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
GREAD: Graph Neural Reaction-Diffusion Equations. CoRR abs/2211.14208 (2022) - 2021
- [j175]Gye-Bong Jang, Jin-Young Kim, Sung-Bae Cho:
Cross-Domain Fault Diagnosis of Rotating Machinery Using Discriminative Feature Attention Network. IEEE Access 9: 99781-99793 (2021) - [j174]Antonio J. Tallón-Ballesteros, Sung-Bae Cho:
Extracting salient information from discarded features via attribute selection and pruning. Appl. Soft Comput. 101: 107041 (2021) - [j173]Jin-Young Kim, Sung-Bae Cho:
A systematic analysis and guidelines of graph neural networks for practical applications. Expert Syst. Appl. 184: 115466 (2021) - [j172]Jin-Young Kim, Sung-Bae Cho:
Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space. Expert Syst. Appl. 186: 115842 (2021) - [j171]Jin-Young Kim, Sung-Bae Cho:
Deep CNN transferred from VAE and GAN for classifying irritating noise in automobile. Neurocomputing 452: 395-403 (2021) - [j170]Tae-Young Kim, Sung-Bae Cho:
Optimizing CNN-LSTM neural networks with PSO for anomalous query access control. Neurocomputing 456: 666-677 (2021) - [j169]Kyung-Joong Kim, Sung-Bae Cho:
Inference of Other's Minds with Limited Information in Evolutionary Robotics. Int. J. Soc. Robotics 13(4): 661-676 (2021) - [j168]Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Biogeography based optimization for mining rules to assess credit risk. Intell. Syst. Account. Finance Manag. 28(1): 35-51 (2021) - [j167]Gye-Bong Jang, Sung-Bae Cho:
Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions. Sensors 21(4): 1417 (2021) - [c272]Seok-Jun Bu, Hyung-Jun Moon, Sung-Bae Cho:
Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles. BigComp 2021: 60-64 - [c271]Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho:
Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection. HAIS 2021: 88-100 - [c270]Seok-Jun Bu, Sung-Bae Cho:
Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack Detection. ICASSP 2021: 2685-2689 - [c269]Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho:
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images. IDEAL 2021: 387-396 - [c268]Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho:
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification. IDEAL 2021: 426-436 - [c267]Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho:
Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network. SOCO 2021: 578-587 - [c266]Gye-Bong Jang, Sung-Bae Cho:
Anomaly Detection for Health Monitoring of Heavy Equipment Using Hierarchical Prediction with Correlative Feature Learning. SOCO 2021: 598-608 - [e6]Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7 [contents] - 2020
- [j166]Bhabani Shankar Prasad Mishra, Om Pandey, Satchidananda Dehuri, Sung-Bae Cho:
Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis. IEEE Access 8: 169215-169228 (2020) - [j165]Partha Pratim Sarangi, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Sung-Bae Cho:
An evaluation of ear biometric system based on enhanced Jaya algorithm and SURF descriptors. Evol. Intell. 13(3): 443-461 (2020) - [j164]Seul-Gi Choi, Sung-Bae Cho:
Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions. Log. J. IGPL 28(4): 449-460 (2020) - [j163]Esteban Jove, Patricia Blanco-Rodríguez, José Luís Casteleiro-Roca, Héctor Quintián, Francisco Javier Moreno Arboleda, José Antonio López-Vázquez, Benigno Antonio Rodríguez-Gómez, María del Carmen Meizoso-López, Andrés José Piñón Pazos, Francisco Javier de Cos Juez, Sung-Bae Cho, José Luís Calvo-Rolle:
Missing data imputation over academic records of electrical engineering students. Log. J. IGPL 28(4): 487-501 (2020) - [j162]Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho:
3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance. Int. J. Neural Syst. 30(6): 2050034:1-2050034:15 (2020) - [j161]Seul-Gi Choi, Sung-Bae Cho:
Bayesian networks + reinforcement learning: Controlling group emotion from sensory stimuli. Neurocomputing 391: 355-364 (2020) - [j160]Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Research contributions published on betweenness centrality algorithm: modelling to analysis in the context of social networking. Int. J. Soc. Netw. Min. 3(1): 1-34 (2020) - [j159]Seok-Jun Bu, Sung-Bae Cho:
A convolutional neural-based learning classifier system for detecting database intrusion via insider attack. Inf. Sci. 512: 123-136 (2020) - [j158]Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho:
A novel committee machine and reviews of neural network and statistical models for currency exchange rate prediction: An experimental analysis. J. King Saud Univ. Comput. Inf. Sci. 32(9): 987-999 (2020) - [c265]Jin-Young Kim, Sung-Bae Cho:
Fair Representation for Safe Artificial Intelligence via Adversarial Learning of Unbiased Information Bottleneck. SafeAI@AAAI 2020: 105-112 - [c264]Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho:
Detecting Intrusion via Insider Attack in Database Transactions by Learning Disentangled Representation with Deep Metric Neural Network. CISIS 2020: 460-469 - [c263]Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho:
Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation. HAIS 2020: 3-12 - [c262]Seok-Jun Bu, Namu Park, Gue-Hwan Nam, Jae-Yong Seo, Sung-Bae Cho:
A Monte Carlo Search-Based Triplet Sampling Method for Learning Disentangled Representation of Impulsive Noise on Steering Gear. ICASSP 2020: 3057-3061 - [c261]Jin-Young Kim, Sung-Bae Cho:
Electric Energy Demand Forecasting with Explainable Time-series Modeling. ICDM (Workshops) 2020: 711-716 - [c260]Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho:
Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network. ICDM (Workshops) 2020: 757-761 - [c259]Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho:
A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects. IDEAL (2) 2020: 485-494 - [c258]Seok-Jun Bu, Sung-Bae Cho:
Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network. IDEAL (2) 2020: 507-515 - [c257]Jin-Young Kim, Sung-Bae Cho:
Interpretable Deep Learning with Hybrid Autoencoders to Predict Electric Energy Consumption. SOCO 2020: 133-143
2010 – 2019
- 2019
- [j157]Kee-Hoon Kim, Sung-Bae Cho:
An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms. Appl. Soft Comput. 83 (2019) - [j156]Aleum Kim, Sung-Bae Cho:
An ensemble semi-supervised learning method for predicting defaults in social lending. Eng. Appl. Artif. Intell. 81: 193-199 (2019) - [j155]Ji-Yoon Kim, Sung-Bae Cho:
Predicting repayment of borrows in peer-to-peer social lending with deep dense convolutional network. Expert Syst. J. Knowl. Eng. 36(4) (2019) - [j154]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Sarat Chandra Nayak, Satchidananda Dehuri, Sung-Bae Cho:
An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset. Int. J. Artif. Intell. Tools 28(3): 1950013:1-1950013:32 (2019) - [j153]Sung-Bae Cho, Jae-Min Yu:
Hierarchical modular Bayesian networks for low-power context-aware smartphone. Neurocomputing 326-327: 100-109 (2019) - [j152]Sang-Muk Jo, Sung-Bae Cho:
A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster. Neurocomputing 353: 17-27 (2019) - [j151]Ji-Yoon Kim, Sung-Bae Cho:
Exploiting deep convolutional neural networks for a neural-based learning classifier system. Neurocomputing 354: 61-70 (2019) - [c256]Seok-Jun Bu, Sung-Bae Cho:
Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks. IEEE BigData 2019: 3545-3552 - [c255]Jin-Young Kim, Kyunghyun Lim, Sung-Bae Cho:
Personalized POI Embedding for Successive POI Recommendation with Large-scale Smart Card Data. IEEE BigData 2019: 3583-3589 - [c254]Jin-Young Kim, Sung-Bae Cho:
Evolutionary Optimization of Hyperparameters in Deep Learning Models. CEC 2019: 831-837 - [c253]Tae-Young Kim, Sung-Bae Cho:
Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption. CEC 2019: 1510-1516 - [c252]Ggyebong Jang, Sung-Bae Cho:
Optimal Trajectory Path Generation for Jointed Structure of Excavator using Genetic Algorithm. CEC 2019: 1953-1959 - [c251]Tae-Young Kim, Sung-Bae Cho:
Particle Swarm Optimization-Based CNN-LSTM Networks for Anomalous Query Access Control in RBAC-Administered Model. HAIS 2019: 123-132 - [c250]Seok-Jun Bu, Sung-Bae Cho:
Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack. HAIS 2019: 145-156 - [c249]Tae-Young Kim, Sung-Bae Cho:
CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model. ICONIP (4) 2019: 131-139 - [c248]Jin-Young Kim, Sung-Bae Cho:
Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data. IDEAL (1) 2019: 319-327 - [c247]Kyunghyun Lim, Jin-Young Kim, Sung-Bae Cho:
Non-stationary Noise Cancellation Using Deep Autoencoder Based on Adversarial Learning. IDEAL (1) 2019: 367-374 - [c246]Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho:
A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass. IDEAL (1) 2019: 375-385 - [c245]Jin-Young Kim, Sung-Bae Cho:
Unsupervised Novelty Detection in Video with Adversarial Autoencoder Based on Non-Euclidean Space. SITIS 2019: 22-27 - [c244]Wonsup Shin, Sung-Bae Cho:
Cycle-Consistent InfoGAN for Speech Enhancement in Various Background Noises. SITIS 2019: 203-208 - [c243]Jin-Young Kim, Sung-Bae Cho:
Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models. SOCO 2019: 25-34 - [i2]Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho:
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning. CoRR abs/1909.03278 (2019) - [i1]Wonsup Shin, Tae-Young Kim, Sung-Bae Cho:
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network. CoRR abs/1909.04252 (2019) - 2018
- [j150]Tae-Young Kim, Sung-Bae Cho:
Web traffic anomaly detection using C-LSTM neural networks. Expert Syst. Appl. 106: 66-76 (2018) - [j149]Trilok Nath Pandey, Alok Kumar Jagadev, Satchidananda Dehuri, Sung-Bae Cho:
A review and empirical analysis of neural networks based exchange rate prediction. Intell. Decis. Technol. 12(4): 423-439 (2018) - [j148]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification. Int. J. Fuzzy Syst. 20(6): 1938-1955 (2018) - [j147]Jae-Min Yu, Sung-Bae Cho:
An evolutionary agent-based framework for modeling and analysis of labor market. Neurocomputing 271: 84-94 (2018) - [j146]Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho:
Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders. Inf. Sci. 460-461: 83-102 (2018) - [j145]Seul-Gi Choi, Sung-Bae Cho:
Sensor Information Fusion by Integrated AI to Control Public Emotion in a Cyber-Physical Environment. Sensors 18(11): 3767 (2018) - [j144]Jayanta Kumar Pal, Shubhra Sankar Ray, Sung-Bae Cho, Sankar K. Pal:
Fuzzy-Rough Entropy Measure and Histogram Based Patient Selection for miRNA Ranking in Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 659-672 (2018) - [c242]Suin Seo, Sung-Bae Cho:
Applying accuracy-based LCS to detecting anomalous database access. GECCO (Companion) 2018: 1442-1448 - [c241]Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho:
Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors. HAIS 2018: 27-38 - [c240]Seok-Jun Bu, Sung-Bae Cho:
A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments. HAIS 2018: 561-572 - [c239]Wonsup Shin, Sung-Bae Cho:
CCTV Image Sequence Generation and Modeling Method for Video Anomaly Detection Using Generative Adversarial Network. IDEAL (1) 2018: 457-467 - [c238]Seok-Jun Bu, Sung-Bae Cho:
Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency. IDEAL (1) 2018: 468-480 - [c237]Tae-Young Kim, Sung-Bae Cho:
Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks. IDEAL (1) 2018: 481-490 - [c236]Jin-Young Kim, Sung-Bae Cho:
Detecting Intrusive Malware with a Hybrid Generative Deep Learning Model. IDEAL (1) 2018: 499-507 - [c235]Ji-Yoon Kim, Sung-Bae Cho:
Deep Dense Convolutional Networks for Repayment Prediction in Peer-to-Peer Lending. SOCO-CISIS-ICEUTE 2018: 134-144 - 2017
- [j143]Charissa Ann Ronao, Sung-Bae Cho:
Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models. Int. J. Distributed Sens. Networks 13(1) (2017) - [j142]K. Yang, Sung-Bae Cho:
A context-aware system in Internet of Things using modular Bayesian networks. Int. J. Distributed Sens. Networks 13(5) (2017) - [j141]Kee-Hoon Kim, Sung-Bae Cho:
Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities. Sensors 17(12): 2877 (2017) - [j140]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble bayesian networks evolved with speciation for high-performance prediction in data mining. Soft Comput. 21(4): 1065-1080 (2017) - [c234]Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Divide-and-Conquer Approach for Revealing the Non-dominated Solutions in Multi-objective Optimization Problem. ICIT 2017: 143-151 - [c233]Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri, Sung-Bae Cho:
Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. ICIT 2017: 152-158 - [c232]Seok-Jun Bu, Sung-Bae Cho:
A Hybrid System of Deep Learning and Learning Classifier System for Database Intrusion Detection. HAIS 2017: 615-625 - [c231]Suin Seo, Sung-Bae Cho:
Offensive Sentence Classification Using Character-Level CNN and Transfer Learning with Fake Sentences. ICONIP (2) 2017: 532-539 - [c230]Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho:
Malware Detection Using Deep Transferred Generative Adversarial Networks. ICONIP (1) 2017: 556-564 - [c229]Aleum Kim, Sung-Bae Cho:
Dempster-Shafer Fusion of Semi-supervised Learning Methods for Predicting Defaults in Social Lending. ICONIP (2) 2017: 854-862 - [c228]Antonio J. Tallón-Ballesteros, Luís Correia, Sung-Bae Cho:
Stochastic and Non-Stochastic Feature Selection. IDEAL 2017: 592-598 - [c227]Sung-Bae Cho, Antonio J. Tallón-Ballesteros:
Visual Tools to Lecture Data Analytics and Engineering. IWINAC (2) 2017: 551-558 - [c226]Rahul Roy, Susmita Ghosh, Sung-Bae Cho, Ashish Ghosh:
Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer. MIKE 2017: 144-155 - [c225]Seul-Gi Choi, Sung-Bae Cho:
Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation. SOCO-CISIS-ICEUTE 2017: 3-12 - [c224]Seul-Gi Choi, Sung-Bae Cho:
Adaptive Database Intrusion Detection Using Evolutionary Reinforcement Learning. SOCO-CISIS-ICEUTE 2017: 547-556 - [c223]Chang-Seok Lee, Sung-Bae Cho:
Learning Classifier Systems for Adaptive Learning of Intrusion Detection System. SOCO-CISIS-ICEUTE 2017: 557-566 - 2016
- [j139]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho:
Radial basis function neural networks: a topical state-of-the-artsurvey. Open Comput. Sci. 6(1) (2016) - [j138]Charissa Ann Ronao, Sung-Bae Cho:
Human activity recognition with smartphone sensors using deep learning neural networks. Expert Syst. Appl. 59: 235-244 (2016) - [j137]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
On the mining of fuzzy association rule using multi-objective genetic algorithms. Int. J. Data Min. Model. Manag. 8(1): 1-31 (2016) - [j136]Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Sung-Bae Cho, Héctor Quintián:
Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 176: 1-2 (2016) - [j135]Sung-Bae Cho:
Exploiting machine learning techniques for location recognition and prediction with smartphone logs. Neurocomputing 176: 98-106 (2016) - [j134]Sungsoo Lim, Seung-Hyun Lee, Sung-Bae Cho:
A modular approach to landmark detection based on a Bayesian network and categorized context logs. Inf. Sci. 330: 145-156 (2016) - [j133]Badri Narayan Subudhi, Susmita Ghosh, Sung-Bae Cho, Ashish Ghosh:
Integration of fuzzy Markov random field and local information for separation of moving objects and shadows. Inf. Sci. 331: 15-31 (2016) - [j132]Charissa Ann Ronao, Sung-Bae Cho:
Anomalous query access detection in RBAC-administered databases with random forest and PCA. Inf. Sci. 369: 238-250 (2016) - [j131]Youngseol Lee, Sung-Bae Cho:
Layered hidden Markov models to recognize activity with built-in sensors on Android smartphone. Pattern Anal. Appl. 19(4): 1181-1193 (2016) - [j130]Ch. Sanjeev Kumar Dash, Amitav Saran, Pulak Sahoo, Satchidananda Dehuri, Sung-Bae Cho:
Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database. Pattern Recognit. Lett. 80: 76-83 (2016) - [c222]Sang-Muk Jo, Sung-Bae Cho:
A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System. HAIS 2016: 91-101 - [c221]Jun-Ho Kim, Ki-Hoon Kim, Sung-Bae Cho:
A Sensory Control System for Adjusting Group Emotion Using Bayesian Networks and Reinforcement Learning. HAIS 2016: 377-388 - [c220]Jae-Min Yu, Sung-Bae Cho:
Prediction of Bank Telemarketing with Co-training of Mixture-of-Experts and MLP. ICONIP (4) 2016: 52-59 - [c219]Jae-Min Yu, Sung-Bae Cho:
Analysis of an Intention-Response Model Inspired by Brain Nervous System for Cognitive Robot. ICONIP (1) 2016: 168-176 - 2015
- [j129]Kyung-Joong Kim, Sung-Bae Cho:
Inference of other's internal neural models from active observation. Biosyst. 128: 37-47 (2015) - [j128]Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho:
Combining localized fusion and dynamic selection for high-performance SVM. Expert Syst. Appl. 42(1): 9-20 (2015) - [j127]Héctor Quintián, Emilio Corchado, André Carlos Ponce de Leon Ferreira de Carvalho, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Editorial: Special issue HAIS12-IGPL. Log. J. IGPL 23(3): 355-358 (2015) - [j126]Ch. Sanjeev Kumar Dash, Pulak Sahoo, Satchidananda Dehuri, Sung-Bae Cho:
An Empirical Analysis of Evolved Radial Basis Function Networks and Support Vector Machines with Mixture of Kernels. Int. J. Artif. Intell. Tools 24(4): 1550013:1-1550013:29 (2015) - [j125]Ch. Sanjeev Kumar Dash, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
Towards Crafting a Smooth and Accurate Functional Link Artificial Neural Networks Based on Differential Evolution and Feature Selection for Noisy Database. Int. J. Comput. Intell. Syst. 8(3): 539-552 (2015) - [j124]Bhabani Shankar Prasad Mishra, Eui-Whan Kim, Guck-Cheol Bang, Satchidananda Dehuri, Sung-Bae Cho:
Weapon target assignment problem: multi-objective formulation, optimisation using MOPSO and TOPSIS. Int. J. Intell. Def. Support Syst. 5(3): 226-252 (2015) - [j123]Han-Saem Park, Moon-Hee Park, Sung-Bae Cho:
Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network. Int. J. Inf. Technol. Decis. Mak. 14(2): 317-338 (2015) - [j122]Héctor Quintián, Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Václav Snásel, Sung-Bae Cho:
Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 163: 1-2 (2015) - [j121]Seung-Hyun Lee, Kyon-Mo Yang, Sung-Bae Cho:
Integrated modular Bayesian networks with selective inference for context-aware decision making. Neurocomputing 163: 38-46 (2015) - [j120]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection. Informatica (Slovenia) 39(2) (2015) - [j119]Kyung-Joong Kim, Sung-Bae Cho:
Meta-classifiers for high-dimensional, small sample classification for gene expression analysis. Pattern Anal. Appl. 18(3): 553-569 (2015) - [c218]Jun-Ho Kim, Sung-Bae Cho:
A Smartphone Management Method to Save Battery Using Bayesian Networks and Fuzzy System. CIT/IUCC/DASC/PICom 2015: 1274-1279 - [c217]Kee-Hoon Kim, Sung-Bae Cho:
A Dining Context-Aware System with Mobile and Wearable Devices. CIT/IUCC/DASC/PICom 2015: 2381-2386 - [c216]Jae-Min Yu, Sung-Bae Cho:
A Low-Power Context-Aware System for Smartphone Using Hierarchical Modular Bayesian Networks. HAIS 2015: 543-554 - [c215]Charissa Ann Ronao, Sung-Bae Cho:
Random Forests with Weighted Voting for Anomalous Query Access Detection in Relational Databases. ICAISC 2015: 36-48 - [c214]Charissa Ann Ronao, Sung-Bae Cho:
Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors. ICONIP (4) 2015: 46-53 - [c213]Charissa Ann Ronao, Sung-Bae Cho:
Mining SQL Queries to Detect Anomalous Database Access using Random Forest and PCA. IEA/AIE 2015: 151-160 - [c212]Won-Gil Huh, Sung-Bae Cho:
Optimal partial filters of EEG signals for shared control of vehicle. SoCPaR 2015: 290-293 - [c211]Sang-Muk Jo, Sung-Bae Cho:
Automatic generation of GUI for smartphone IME by classifying user behavior patterns. SoCPaR 2015: 294-297 - [c210]Sung-Bae Cho, Jun-Ho Kim:
Predicting group emotion in kindergarten classes by modular Bayesian networks. SoCPaR 2015: 298-302 - [c209]Kee-Hoon Kim, Sung-Bae Cho:
A group emotion control system based on reinforcement learning. SoCPaR 2015: 303-307 - [c208]Kee-Hoon Kim, Chang-Seok Lee, Sang-Muk Jo, Sung-Bae Cho:
Predicting the success of bank telemarketing using deep convolutional neural network. SoCPaR 2015: 314-317 - [c207]Jae-Min Yu, Sung-Bae Cho:
Modeling and Analysis of Agent-Based Labor Market. SOCO 2015: 215-226 - [p7]Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Sung-Bae Cho:
Swarm Intelligence in Multiple and Many Objectives Optimization: A Survey and Topical Study on EEG Signal Analysis. Multi-objective Swarm Intelligence 2015: 27-73 - 2014
- [j118]Youngseol Lee, Sung-Bae Cho:
Activity recognition with android phone using mixture-of-experts co-trained with labeled and unlabeled data. Neurocomputing 126: 106-115 (2014) - [j117]Keum-Sung Hwang, Sung-Bae Cho:
A lifelog browser for visualization and search of mobile everyday-life. Mob. Inf. Syst. 10(3): 243-258 (2014) - [j116]Youngseol Lee, Sung-Bae Cho:
Recognizing multi-modal sensor signals using evolutionary learning of dynamic Bayesian networks. Pattern Anal. Appl. 17(4): 695-707 (2014) - [c206]Ji-Chun Quan, Sung-Bae Cho:
A Hybrid Recommender System Based on AHP That Awares Contexts with Bayesian Networks for Smart TV. HAIS 2014: 527-536 - [c205]Yu-Jung Chae, Sung-Bae Cho:
Intention-response model based on mirror neuron and theory of mind. ICNC 2014: 384-389 - [c204]Dahee Kim, Sung-Bae Cho:
A brain-computer interface for shared vehicle control on TORCS car racing game. ICNC 2014: 550-555 - [c203]Charissa Ann Ronao, Sung-Bae Cho:
Human activity recognition using smartphone sensors with two-stage continuous hidden Markov models. ICNC 2014: 681-686 - [c202]Woo-Hyun Rho, Sung-Bae Cho:
Context-aware smartphone application category recommender system with modularized Bayesian networks. ICNC 2014: 775-779 - [c201]Kyon-Mo Yang, Sung-Bae Cho:
Modular dynamic Bayesian network based on Markov boundary for emotion prediction in multi-sensory environment. ICNC 2014: 1131-1136 - [c200]Kyon-Mo Yang, Sung-Bae Cho:
An Agent Response System Based on Mirror Neuron and Theory of Mind. ICONIP (1) 2014: 42-49 - [c199]Yu-Jung Chae, Sung-Bae Cho:
Planning-driven behavior selection network for controlling a humanoid robot. IJCNN 2014: 4244-4250 - [c198]Hu Xu, Sung-Bae Cho:
Recognizing Semantic Locations from Smartphone Log with Combined Machine Learning Techniques. UIC/ATC/ScalCom 2014: 66-71 - 2013
- [j115]Kyung-Joong Kim, Sung-Bae Cho:
Game AI Competitions: An Open Platform for Computational Intelligence Education [Educational Forum]. IEEE Comput. Intell. Mag. 8(3): 64-68 (2013) - [j114]Ch. Sanjeev Kumar Dash, Aditya Prakash Dash, Satchidananda Dehuri, Sung-Bae Cho, Gi-Nam Wang:
DE+RBFNs based classification: A special attention to removal of inconsistency and irrelevant features. Eng. Appl. Artif. Intell. 26(10): 2315-2326 (2013) - [j113]Injee Song, Sung-Bae Cho:
Bayesian and behavior networks for context-adaptive user interface in a ubiquitous home environment. Expert Syst. Appl. 40(5): 1827-1838 (2013) - [j112]Youngseol Lee, Sung-Bae Cho:
Mobile context inference using two-layered Bayesian networks for smartphones. Expert Syst. Appl. 40(11): 4333-4345 (2013) - [j111]Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho:
Differential Evolution-Based Optimization of Kernel Parameters in Radial Basis Function Networks for Classification. Int. J. Appl. Evol. Comput. 4(1): 56-80 (2013) - [j110]Ch. Sanjeev Kumar Dash, Aditya Prakash Dash, Satchidananda Dehuri, Sung-Bae Cho:
Feature Selection for Designing a Novel Differential Evolution Trained Radial Basis Function Network for Classification. Int. J. Appl. Metaheuristic Comput. 4(1): 32-49 (2013) - [j109]Youngseol Lee, Sung-Bae Cho:
A mobile picture tagging system using tree-structured layered Bayesian networks. Mob. Inf. Syst. 9(3): 209-224 (2013) - [c197]Ho-Chul Cho, Kyung-Joong Kim, Sung-Bae Cho:
Replay-based strategy prediction and build order adaptation for StarCraft AI bots. CIG 2013: 1-7 - [c196]Myeong-Chun Lee, Youngseol Lee, Sung-Bae Cho:
KeyGraph-Based Social Network Generation for Mobile Context Sharing. GreenCom/iThings/CPScom 2013: 2002-2006 - [c195]Yong-Joong Kim, Sung-Bae Cho:
A HMM-Based Location Prediction Framework with Location Recognizer Combining k-Nearest Neighbor and Multiple Decision Trees. HAIS 2013: 618-628 - [c194]Sung Jae Yun, Myeong-Chun Lee, Sung-Bae Cho:
P300 BCI based planning behavior selection network for humanoid robot control. ICNC 2013: 354-358 - [c193]Hu Xu, Sung-Bae Cho:
An Effective Retrieval Method with Semantic Networks for Mobile Life-Log of Smartphones. ICONIP (2) 2013: 753-760 - [c192]Myeong-Chun Lee, Sung-Bae Cho:
A Recurrent Neural Network with Non-gesture Rejection Model for Recognizing Gestures with Smartphone Sensors. PReMI 2013: 40-46 - [c191]Kyung-Joong Kim, Kang Yong Eo, Ye Ran Jung, Si On Kim, Sung-Bae Cho:
Evolutionary conditions for the emergence of robotic theory of mind with multiple goals. RiiSS 2013: 43-49 - [c190]Kyon-Mo Yang, Sung-Bae Cho:
STRIPS Planning with Modular Behavior Selection Networks for Smart Home Agents. UIC/ATC 2013: 301-307 - 2012
- [j108]Kyung-Joong Kim, Sung-Bae Cho:
Automated synthesis of multiple analog circuits using evolutionary computation for redundancy-based fault-tolerance. Appl. Soft Comput. 12(4): 1309-1321 (2012) - [j107]Kyung-Joong Kim, Sung-Bae Cho:
2011 IEEE Conference on Computational Intelligence and Games [Conference Reports]. IEEE Comput. Intell. Mag. 7(1): 15-18 (2012) - [j106]Han-Saem Park, Sung-Bae Cho:
A modular design of Bayesian networks using expert knowledge: Context-aware home service robot. Expert Syst. Appl. 39(3): 2629-2642 (2012) - [j105]Han-Saem Park, Sung-Bae Cho:
Evolutionary attribute ordering in Bayesian networks for predicting the metabolic syndrome. Expert Syst. Appl. 39(4): 4240-4249 (2012) - [j104]Jongwon Yoon, Sung-Ihk Yang, Sung-Bae Cho:
Adaptive mixture-of-experts models for data glove interface with multiple users. Expert Syst. Appl. 39(5): 4898-4907 (2012) - [j103]Jin-Hyuk Hong, Ung-Keun Cho, Sung-Bae Cho:
Environmentally realistic fingerprint-image generation with evolutionary filter-bank optimization. Expert Syst. Appl. 39(6): 6201-6212 (2012) - [j102]Jun-Ki Min, Sung-Bae Cho:
Semantic management of multiple contexts in a pervasive computing framework. Expert Syst. Appl. 39(10): 8655-8664 (2012) - [j101]Jongwon Yoon, Sung-Bae Cho:
An intelligent synthetic character for smartphone with Bayesian networks and behavior selection networks. Expert Syst. Appl. 39(12): 11284-11292 (2012) - [j100]Satya Ranjan Dash, Susil Rayaguru, Satchidananda Dehuri, Sung-Bae Cho:
Lost Student Tracking in an Incomplete and Imprecise Information Environment Using Soft Computing Paradigm. Int. J. Artif. Life Res. 3(4): 32-48 (2012) - [j99]Satchidananda Dehuri, Sung-Bae Cho:
Learning Fuzzy Network Using Sequence Bound Global Particle Swarm Optimizer. Int. J. Fuzzy Syst. Appl. 2(1): 54-70 (2012) - [j98]Hyun-Yong Noh, Jin-Hyung Lee, Sae-Won Oh, Keum-Sung Hwang, Sung-Bae Cho:
Exploiting indoor location and mobile information for context-awareness service. Inf. Process. Manag. 48(1): 1-12 (2012) - [j97]Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho, Ashish Ghosh:
An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification. J. Syst. Softw. 85(6): 1333-1345 (2012) - [c189]Myeong-Chun Lee, Sung-Bae Cho:
Interactive differential evolution for image enhancement application in smart phone. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c188]Seung-Hyun Lee, Sung-Bae Cho:
Fusion of Modular Bayesian Networks for Context-Aware Decision Making. HAIS (1) 2012: 375-384 - [c187]Jongwon Yoon, Sung-Bae Cho:
Mobile Intelligent Synthetic Character in Smartphone Using Behavior Selection Network. ICDCS Workshops 2012: 94-97 - [c186]Youngseol Lee, Sung-Bae Cho:
An Efficient Energy Management System for Android Phone Using Bayesian Networks. ICDCS Workshops 2012: 102-107 - [c185]Jongwon Yoon, Sung-Bae Cho:
Hierarchical Planning of Modular Behaviour Networks for Office Delivery Robot. ICINCO (2) 2012: 14-20 - [c184]Youngseol Lee, Sung-Bae Cho:
Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones. MoMM 2012: 39-46 - [c183]Youngseol Lee, Sung-Bae Cho:
Solving Graph Coloring Problem by Fuzzy Clustering-Based Genetic Algorithm. SEAL 2012: 351-360 - [c182]Si-Hyuk Yi, Sung-Bae Cho:
Generating Diverse Behaviors of Evolutionary Robots with Speciation for Theory of Mind. SEAL 2012: 491-500 - [c181]Youngseol Lee, Sung-Bae Cho:
Dynamic quest plot generation using Petri net planning. WASA 2012: 47-52 - [c180]Si-Hyuk Yi, Sung-Bae Cho:
A Battery-Aware Energy-Efficient Android Phone with Bayesian Networks. UIC/ATC 2012: 204-209 - [e5]Emilio Corchado, Václav Snásel, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I. Lecture Notes in Computer Science 7208, Springer 2012, ISBN 978-3-642-28941-5 [contents] - [e4]Emilio Corchado, Václav Snásel, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II. Lecture Notes in Computer Science 7209, Springer 2012, ISBN 978-3-642-28930-9 [contents] - 2011
- [j96]Youngseol Lee, Sung-Bae Cho:
Exploiting mobile contexts for Petri-net to generate a story in cartoons. Appl. Intell. 34(1): 1-18 (2011) - [j95]Satchidananda Dehuri, Bijan Bihari Misra, Ashish Ghosh, Sung-Bae Cho:
A condensed polynomial neural network for classification using swarm intelligence. Appl. Soft Comput. 11(3): 3106-3113 (2011) - [j94]Youngseol Lee, Sung-Bae Cho:
Context-Aware Petri Net for Dynamic Procedural Content Generation in Role-Playing Game. IEEE Comput. Intell. Mag. 6(2): 16-25 (2011) - [j93]Madhabananda Das, Rahul Roy, Satchidananda Dehuri, Sung-Bae Cho:
A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization. Int. J. Appl. Metaheuristic Comput. 2(2): 51-73 (2011) - [j92]Rahul Roy, Satchidananda Dehuri, Sung-Bae Cho:
A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem. Int. J. Appl. Metaheuristic Comput. 2(4): 41-57 (2011) - [j91]Han-Saem Park, Keunhyun Oh, Sung-Bae Cho:
Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System. Int. J. Distributed Sens. Networks 7(1) (2011) - [j90]Han-Saem Park, Sung-Bae Cho:
A personalized summarization of video life-logs from an indoor multi-camera system using a fuzzy rule-based system with domain knowledge. Inf. Syst. 36(8): 1124-1134 (2011) - [j89]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary neural networks for practical applications. J. Intell. Fuzzy Syst. 22(2-3): 53-55 (2011) - [j88]Kyung-Joong Kim, Jung Guk Park, Sung-Bae Cho:
Correlation analysis and performance evaluation of distance measures for evolutionary neural networks. J. Intell. Fuzzy Syst. 22(2-3): 83-92 (2011) - [j87]Jun-Ki Min, Sung-Bae Cho:
Mobile Human Network Management and Recommendation by Probabilistic Social Mining. IEEE Trans. Syst. Man Cybern. Part B 41(3): 761-771 (2011) - [c179]Jongwon Yoon, Sung-Bae Cho:
An efficient genetic algorithm with fuzzy c-means clustering for traveling salesman problem. IEEE Congress on Evolutionary Computation 2011: 1452-1456 - [c178]Ju-Won Hwang, Youngseol Lee, Sung-Bae Cho:
Structure evolution of dynamic Bayesian network for traffic accident detection. IEEE Congress on Evolutionary Computation 2011: 1655-1671 - [c177]Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Rahul Roy, Sung-Bae Cho:
A serial and parallel genetic based learning algorithm for Bayesian classifier to predict metabolic syndrome. Bangalore Compute Conf. 2011: 1 - [c176]Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho:
An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndrome. GECCO (Companion) 2011: 495-502 - [c175]Jun-Ki Min, Sung-Bae Cho:
A Hybrid Context-Aware Wearable System with Evolutionary Optimization and Selective Inference of Dynamic Bayesian Networks. HAIS (1) 2011: 444-451 - [c174]Jongwon Yoon, Sung-Bae Cho:
Global/Local Hybrid Learning of Mixture-of-Experts from Labeled and Unlabeled Data. HAIS (1) 2011: 452-459 - [c173]Youngseol Lee, Sung-Bae Cho:
Activity Recognition Using Hierarchical Hidden Markov Models on a Smartphone with 3D Accelerometer. HAIS (1) 2011: 460-467 - [c172]Youngseol Lee, Sung-Bae Cho:
Human Activity Inference Using Hierarchical Bayesian Network in Mobile Contexts. ICONIP (1) 2011: 38-45 - [c171]Seung-Hyun Lee, Si-Hyuk Yi, Sung-Bae Cho:
Emergence of Leadership in Evolving Robot Colony. ICONIP (3) 2011: 57-65 - [c170]Jongwon Yoon, Jun-Ki Min, Sung-Bae Cho:
Enhancing hand gesture recognition using fuzzy clustering-based mixture-of-experts model. ICUIMC 2011: 72 - [c169]Jun-Ki Min, Sung-Bae Cho:
Activity recognition based on wearable sensors using selection/fusion hybrid ensemble. SMC 2011: 1319-1324 - [p6]Satchidananda Dehuri, Sung-Bae Cho, Susmita Ghosh:
Swarm Intelligence and Neural Networks. Integration of Swarm Intelligence and Artificial Neural Network 2011: 1-22 - [e3]Sung-Bae Cho, Simon M. Lucas, Philip Hingston:
2011 IEEE Conference on Computational Intelligence and Games, CIG 2011, Seoul, South Korea, August 31 - September 3, 2011. IEEE 2011, ISBN 978-1-4577-0010-1 [contents] - [e2]Satchidananda Dehuri, Susmita Ghosh, Sung-Bae Cho:
Integration of Swarm Intelligence and Artificial Neural Network. Series in Machine Perception and Artificial Intelligence 78, WorldScientific 2011, ISBN 978-981-4280-14-3, pp. 1-352 [contents] - 2010
- [j86]Hyeun-Jeong Min, Sung-Bae Cho:
Adaptive behaviors of reactive mobile robot with Bayesian inference in nonstationary environments. Appl. Intell. 33(3): 264-277 (2010) - [j85]Satchidananda Dehuri, Sung-Bae Cho:
Evolutionarily optimized features in functional link neural network for classification. Expert Syst. Appl. 37(6): 4379-4391 (2010) - [j84]Jin-Hyuk Hong, Sung-Ihk Yang, Sung-Bae Cho:
ConaMSN: A context-aware messenger using dynamic Bayesian networks with wearable sensors. Expert Syst. Appl. 37(6): 4680-4686 (2010) - [j83]Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho:
Fingerprint classification based on subclass analysis using multiple templates of support vector machines. Intell. Data Anal. 14(3): 369-384 (2010) - [j82]Satchidananda Dehuri, Sung-Bae Cho:
A comprehensive survey on functional link neural networks and an adaptive PSO-BP learning for CFLNN. Neural Comput. Appl. 19(2): 187-205 (2010) - [j81]Satchidananda Dehuri, Sung-Bae Cho:
A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets. Neural Comput. Appl. 19(2): 317-328 (2010) - [c168]Tae-min Jung, Youngseol Lee, Sung-Bae Cho:
Mobile interface for adaptive image refinement using interactive evolutionary computing. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c167]Youngseol Lee, Sung-Bae Cho:
Analysis of evolutionary process using evolutionary activity and modular schema analysis. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c166]Seung-Hyun Lee, Han-Saem Park, Sung-Bae Cho:
Empirical analysis of international trade market using evolutionary multi-agent modeling with game theory. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c165]Jongwon Yoon, Sung-Bae Cho:
Fitness approximation for genetic algorithm using combination of approximation model and fuzzy clustering technique. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c164]Jongwon Yoon, Su-Hyung Jang, Sung-Bae Cho:
Enhanced user immersive experience with a virtual reality based FPS game interface. CIG 2010: 69-74 - [c163]Sungsoo Lim, Keunhyun Oh, Sung-Bae Cho:
A Spontaneous Topic Change of Dialogue for Conversational Agent Based on Human Cognition and Memory. ICAART (Revised Selected Papers) 2010: 91-100 - [c162]Sungsoo Lim, Keunhyun Oh, Sung-Bae Cho:
Changing Topics of Dialogue for Natural Mixed-initiative Interaction of Conversational Agent based on Human Cognition and Memory. ICAART (1) 2010: 107-112 - [c161]Han-Saem Park, Sung-Bae Cho:
Predicting user Activities in the Sequence of Mobile Context for Ambient Intelligence Environment using Dynamic Bayesian Network. ICAART (1) 2010: 311-316 - [c160]Jongwon Yoon, Sung-Bae Cho:
A Mobile Intelligent Synthetic Character with Natural Behavior Generation. ICAART (2) 2010: 315-318 - [c159]Kyung-Joong Kim, Sung-Bae Cho:
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer. ICONIP (2) 2010: 234-241 - [c158]BongWhan Choe, Jun-Ki Min, Sung-Bae Cho:
Online Gesture Recognition for User Interface on Accelerometer Built-in Mobile Phones. ICONIP (2) 2010: 650-657 - [c157]Keunhyun Oh, Sung-Bae Cho:
A hybrid method of Dijkstra algorithm and evolutionary neural network for optimal Ms. Pac-Man agent. NaBIC 2010: 239-243 - [c156]Jun-Ki Min, BongWhan Choe, Sung-Bae Cho:
A selective template matching algorithm for short and intuitive gesture UI of accelerometer-builtin mobile phones. NaBIC 2010: 660-665 - [c155]Tae-min Jung, Youngseol Lee, Sung-Bae Cho:
Mobile Sync-application for Life Logging and High-Level Context Using Bayesian Network. PKAW 2010: 223-234 - [c154]Seung-Hyun Lee, Sungsoo Lim, Sung-Bae Cho:
Parameter Learning in Bayesian Network Using Semantic Constraints of Conversational Feedback. PRICAI 2010: 467-476 - [c153]Keunhyun Oh, Sung-Bae Cho:
Semantic Networks of Mobile Life-Log for Associative Search Based on Activity Theory. PRICAI 2010: 643-648 - [c152]Han-Saem Park, Sung-Bae Cho:
Building Mobile Social Network with Semantic Relation Using Bayesian NeTwork-based Life-log Mining. SocialCom/PASSAT 2010: 401-406 - [c151]Ju-Won Hwang, Youngseol Lee, Sung-Bae Cho:
Hierarchical Probabilistic Network-Based System for Traffic Accident Detection at Intersections. UIC/ATC Workshops 2010: 211-216 - [c150]Keunhyun Oh, Han-Saem Park, Sung-Bae Cho:
A Mobile Context Sharing System Using Activity and Emotion Recognition with Bayesian Networks. UIC/ATC Workshops 2010: 244-249 - [e1]Jonathan H. Chan, Yew-Soon Ong, Sung-Bae Cho:
Computational Systems-Biology and Bioinformatics - First International Conference, CSBio 2010, Bangkok, Thailand, November 3-5, 2010. Proceedings. Communications in Computer and Information Science 115, Springer 2010, ISBN 978-3-642-16749-2 [contents]
2000 – 2009
- 2009
- [j80]Keum-Sung Hwang, Sung-Bae Cho:
Improving evolvable hardware by applying the speciation technique. Appl. Soft Comput. 9(1): 254-263 (2009) - [j79]Satchidananda Dehuri, Sung-Bae Cho:
Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: A review and state-of-the-art. Comput. Sci. Rev. 3(1): 19-40 (2009) - [j78]Keum-Sung Hwang, Sung-Bae Cho:
Landmark detection from mobile life log using a modular Bayesian network model. Expert Syst. Appl. 36(10): 12065-12076 (2009) - [j77]Jin-Hyuk Hong, Sung-Bae Cho:
Gene boosting for cancer classification based on gene expression profiles. Pattern Recognit. 42(9): 1761-1767 (2009) - [j76]Jin-Hyuk Hong, Sung-Bae Cho, Ung-Keun Cho:
A Novel Evolutionary Approach to Image Enhancement Filter Design: Method and Applications. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1446-1457 (2009) - [c149]Hee-Taek Kim, Sung-Bae Cho:
Modeling multi-agent labor market based on co-evolutionary computation and game theory. IEEE Congress on Evolutionary Computation 2009: 2143-2148 - [c148]Su-Hyung Jang, Jongwon Yoon, Sung-Bae Cho:
Optimal strategy selection of non-player character on real time strategy game using a speciated evolutionary algorithm. CIG 2009: 75-79 - [c147]Yongjun Kim, Sung-Bae Cho:
A Hybrid Cultural Algorithm with Local Search for Traveling Salesman Problem. CIRA 2009: 188-192 - [c146]Sungsoo Lim, Jongwon Yoon, Keunhyun Oh, Sung-Bae Cho:
Gesture based dialogue management using behavior network for flexibility of human robot interaction. CIRA 2009: 592-597 - [c145]Kyung-Joong Kim, Sung-Bae Cho:
Evaluation of Distance Measures for Speciated Evolutionary Neural Networks in Pattern Classification Problems. ICONIP (2) 2009: 630-637 - [c144]Kyung-Joong Kim, Sung-Bae Cho:
Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware. IDEAL 2009: 359-367 - [c143]Satchidananda Dehuri, Bijaya Kumar Nanda, Sung-Bae Cho:
A Hybrid APSO-aided Learnable Bayesian Classifier. IICAI 2009: 695-706 - [c142]Youngseol Lee, Sung-Bae Cho:
Automatic weblog generation using mobile context. MoMM 2009: 622-626 - [c141]Keum-Sung Hwang, Han-Saem Park, Sung-Bae Cho:
Robotic intelligence with behavior selection network for Bayesian network ensemble. RiiSS 2009: 151-154 - [c140]Jun-Ki Min, Su-Hyung Jang, Sung-Bae Cho:
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model. UIC 2009: 111-120 - 2008
- [j75]Hwan Young Lee, Injee Song, Eunho Ha, Sung-Bae Cho, Woo Ick Yang, Kyoung-Jin Shin:
mtDNAmanager: a Web-based tool for the management and quality analysis of mitochondrial DNA control-region sequences. BMC Bioinform. 9 (2008) - [j74]Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
Particle Swarm Optimised polynomial neural network for classification: a multi-objective view. Int. J. Intell. Def. Support Syst. 1(3): 225-253 (2008) - [j73]Seung-Ik Lee, Sung-Bae Cho:
Observational emergence in evolutionary fuzzy robotics. Int. J. Model. Identif. Control. 3(1): 88-96 (2008) - [j72]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary ensemble of diverse artificial neural networks using speciation. Neurocomputing 71(7-9): 1604-1618 (2008) - [j71]Jin-Hyuk Hong, Sung-Bae Cho:
A probabilistic multi-class strategy of one-vs.-rest support vector machines for cancer classification. Neurocomputing 71(16-18): 3275-3281 (2008) - [j70]Jin-Hyuk Hong, Jun-Ki Min, Ung-Keun Cho, Sung-Bae Cho:
Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers. Pattern Recognit. 41(2): 662-671 (2008) - [j69]Kyung-Joong Kim, Sung-Bae Cho:
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis. IEEE Trans. Evol. Comput. 12(3): 377-388 (2008) - [c139]Moon-Hee Park, Han-Saem Park, Sung-Bae Cho:
Restaurant Recommendation for Group of People in Mobile Environments Using Probabilistic Multi-criteria Decision Making. APCHI 2008: 114-122 - [c138]Jin-Hyuk Hong, Sung-Bae Cho:
Cancer classification with incremental gene selection based on DNA microarray data. CIBCB 2008: 70-74 - [c137]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble approaches in evolutionary game strategies: A case study in Othello. CIG 2008: 212-219 - [c136]Su-Hyung Jang, Sung-Bae Cho:
Evolving neural NPCs with layered influence map in the real-time simulation game 'Conqueror'. CIG 2008: 385-388 - [c135]Satchidananda Dehuri, Sung-Bae Cho, Alok Kumar Jagadev:
Honey Bee Behavior: A Multi-agent Approach for Multiple Campaigns Assignment Problem. ICIT 2008: 24-29 - [c134]Jun-Ki Min, Hee-Taek Kim, Sung-Bae Cho:
Social and Personal Context Modeling for Contact List Recommendation on Mobile Device. Web Intelligence/IAT Workshops 2008: 381-384 - [c133]Han-Saem Park, Sung-Bae Cho:
A Fuzzy Rule-Based System with Ontology for Summarization of Multi-camera Event Sequences. ICAISC 2008: 850-860 - [c132]Youngseol Lee, Sung-Bae Cho:
Life Story Generation Using Mobile Context and Petri Net. ICAISC 2008: 1064-1074 - [c131]Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae Cho:
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining. ICONIP (1) 2008: 1121-1128 - [c130]Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae Cho:
Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification. IDEAL 2008: 156-163 - [c129]Keum-Sung Hwang, Sung-Bae Cho:
Modular Bayesian Network Learning for Mobile Life Understanding. IDEAL 2008: 225-232 - [c128]Sung-Ihk Yang, Sung-Bae Cho:
Recognizing human activities from accelerometer and physiological sensors. MFI 2008: 100-105 - [c127]Han-Saem Park, Soojung Lim, Jun-Ki Min, Sung-Bae Cho:
Optimal view selection and event retrieval in multi-camera office environment. MFI 2008: 106-110 - [c126]Keum-Sung Hwang, Sung-Bae Cho:
Life log management based on machine learning technique. MFI 2008: 691-696 - [c125]Han-Saem Park, Injee Song, Sung-Bae Cho:
Context-Adaptive User Interface in Ubiquitous Home Generated by Bayesian and Action Selection Networks. UIC 2008: 158-168 - [c124]Youngseol Lee, Sung-Bae Cho:
Petri Net-Based Episode Detection and Story Generation from Ubiquitous Life Log. UIC 2008: 535-547 - [c123]Satchidananda Dehuri, Sung-Bae Cho:
A novel particle swarm optimization for multiple campaigns assignment problem. CSTST 2008: 317-324 - 2007
- [j68]Sung-Bae Cho, Hong-Hee Won:
Cancer classification using ensemble of neural networks with multiple significant gene subsets. Appl. Intell. 26(3): 243-250 (2007) - [j67]Kyung-Joong Kim, Sung-Bae Cho:
Personalized mining of web documents using link structures and fuzzy concept networks. Appl. Soft Comput. 7(1): 398-410 (2007) - [j66]Sung-Bae Cho:
D.B. Fogel and C.J. Robinson, Editors, Computational Intelligence: The Experts Speak, Wiley InterScience, IEEE Press (2003) (hardcover, 282 pp., ISBN 0-471-27454-2). Appl. Soft Comput. 7(2): 626-627 (2007) - [j65]Han-Saem Park, Si-Ho Yoo, Sung-Bae Cho:
Forward selection method with regression analysis for optimal gene selection in cancer classification. Int. J. Comput. Math. 84(5): 653-667 (2007) - [j64]Jun-Ki Min, Sung-Bae Cho:
Multiple Decision Templates with Adaptive Features for Fingerprint Classification. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1323-1338 (2007) - [j63]Kyoung Min Kim, Jin-Hyuk Hong, Sung-Bae Cho:
A semantic Bayesian network approach to retrieving information with intelligent conversational agents. Inf. Process. Manag. 43(1): 225-236 (2007) - [j62]Han-Saem Park, Sung-Bae Cho:
Evolutionary fuzzy cluster analysis with Bayesian validation of gene expression profiles. J. Intell. Fuzzy Syst. 18(6): 543-559 (2007) - [j61]Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho:
KeyGraph-based chance discovery for mobile contents management system. Int. J. Knowl. Based Intell. Eng. Syst. 11(5): 313-320 (2007) - [j60]Hun-Woo Yoo, Sung-Bae Cho:
Video scene retrieval with interactive genetic algorithm. Multim. Tools Appl. 34(3): 317-336 (2007) - [j59]Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang, In-Ji Song:
AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks. IEEE Pervasive Comput. 6(3): 66-75 (2007) - [j58]Jin-Hyuk Hong, Sungsoo Lim, Sung-Bae Cho:
Autonomous Language Development Using Dialogue-Act Templates and Genetic Programming. IEEE Trans. Evol. Comput. 11(2): 213-225 (2007) - [j57]Jin-Hyuk Hong, Youn-Suk Song, Sung-Bae Cho:
Mixed-Initiative Human-Robot Interaction Using Hierarchical Bayesian Networks. IEEE Trans. Syst. Man Cybern. Part A 37(6): 1158-1164 (2007) - [c122]Kyung-Joong Kim, Heejin Choi, Sung-Bae Cho:
Hybrid of Evolution and Reinforcement Learning for Othello Players. CIG 2007: 203-209 - [c121]Cheng Chris Zhang, Sung-Bae Cho, Sidney S. Fels:
MyView: Personalized Event Retrieval and Video Compositing from Multi-camera Video Images. HCI (8) 2007: 549-558 - [c120]Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho:
Automatic Fingerprints Image Generation Using Evolutionary Algorithm. ICB 2007: 1104-1113 - [c119]Jin-Hyuk Hong, Sung-Bae Cho:
Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification. ICONIP (2) 2007: 856-865 - [c118]Kyung-Joong Kim, Sung-Bae Cho:
Integrated Model for Informal Inference Based on Neural Networks. ICONIP (2) 2007: 950-959 - [c117]Kyung-Joong Kim, Sung-Bae Cho:
Diverse Evolutionary Neural Networks Based on Information Theory. ICONIP (2) 2007: 1007-1016 - [c116]Jun-Ki Min, Sung-Bae Cho:
Multiple Classifier Fusion Using k -Nearest Localized Templates. IDEAL 2007: 447-456 - [c115]Youngseol Lee, Sung-Bae Cho:
Extracting Meaningful Contexts from Mobile Life Log. IDEAL 2007: 750-759 - [c114]Sung-Bae Cho, Kyung-Joong Kim, Keum-Sung Hwang:
Generating Cartoon-Style Summary of Daily Life with Multimedia Mobile Devices. IEA/AIE 2007: 135-144 - [c113]Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho:
Automatic Fingerprints Image Generation Using Evolutionary Algorithm. IEA/AIE 2007: 444-453 - [c112]Sungsoo Lim, Sung-Bae Cho:
Intelligent OS Process Scheduling Using Fuzzy Inference with User Models. IEA/AIE 2007: 725-734 - [c111]Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho:
Episodic Memory for Ubiquitous Multimedia Contents Management System. IEA/AIE 2007: 796-805 - [c110]Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho:
Ensemble Approaches of Support Vector Machines for Multiclass Classification. PReMI 2007: 1-10 - [c109]Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho:
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices. UIC 2007: 1130-1139 - [p5]Sung-Bae Cho, Han-Saem Park:
Sophisticated Methods for Cancer Classification Using Microarray Data. Analysis of Biological Data: A Soft Computing Approach 2007: 281-302 - [p4]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Algorithms for Board Game Players with Domain Knowledge. Advanced Intelligent Paradigms in Computer Games 2007: 71-89 - 2006
- [j56]Kyung-Joong Kim, Sung-Bae Cho:
A Comprehensive Overview of the Applications of Artificial Life. Artif. Life 12(1): 153-182 (2006) - [j55]Kyung-Joong Kim, Sung-Bae Cho:
A unified architecture for agent behaviors with selection of evolved neural network modules. Appl. Intell. 25(3): 253-268 (2006) - [j54]Jin-Hyuk Hong, Sung-Bae Cho:
The classification of cancer based on DNA microarray data that uses diverse ensemble genetic programming. Artif. Intell. Medicine 36(1): 43-58 (2006) - [j53]Kyung-Joong Kim, Sung-Bae Cho:
Evolved neural networks based on cellular automata for sensory-motor controller. Neurocomputing 69(16-18): 2193-2207 (2006) - [j52]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble classifiers based on correlation analysis for DNA microarray classification. Neurocomputing 70(1-3): 187-199 (2006) - [j51]Eun-Kyung Yun, Sung-Bae Cho:
Adaptive fingerprint image enhancement with fingerprint image quality analysis. Image Vis. Comput. 24(1): 101-110 (2006) - [j50]Ajith Abraham, Sung-Bae Cho, Thomas D. Hite, Sang-Yong Han:
Special Issue on Web Services Practices. J. Adv. Comput. Intell. Intell. Informatics 10(5): 703-704 (2006) - [j49]Myung-Chul Jung, Sung-Bae Cho:
Automatic Web Service Composition Based on Behavior Network. J. Adv. Comput. Intell. Intell. Informatics 10(5): 728-732 (2006) - [j48]Sang-Jun Han, Sung-Bae Cho:
Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services. J. Inf. Knowl. Manag. 5(4): 291-301 (2006) - [j47]Sung-Bae Cho, Si-Ho Yoo:
Fuzzy Bayesian validation for cluster analysis of yeast cell-cycle data. Pattern Recognit. 39(12): 2405-2414 (2006) - [j46]Jin-Hyuk Hong, Sung-Bae Cho:
Efficient huge-scale feature selection with speciated genetic algorithm. Pattern Recognit. Lett. 27(2): 143-150 (2006) - [j45]Sang-Jun Han, Sung-Bae Cho:
Evolutionary neural networks for anomaly detection based on the behavior of a program. IEEE Trans. Syst. Man Cybern. Part B 36(3): 559-570 (2006) - [c108]Seung-Bin Im, Sung-Bae Cho:
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform. ACIVS 2006: 1080-1087 - [c107]Keum-Sung Hwang, Sung-Bae Cho:
Interactive Learning of Scene Context Extractor Using Combination of Bayesian Network and Logic Network. ACIVS 2006: 1143-1150 - [c106]Injee Song, Myung-Chul Jung, Sung-Bae Cho:
Automatic Generation of Funny Cartoons Diary for Everyday Mobile Life. Australian Conference on Artificial Intelligence 2006: 443-452 - [c105]Keum-Sung Hwang, Sung-Bae Cho:
Modular Bayesian Networks for Inferring Landmarks on Mobile Daily Life. Australian Conference on Artificial Intelligence 2006: 929-933 - [c104]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Othello Players Boosted by Opening Knowledge. IEEE Congress on Evolutionary Computation 2006: 984-991 - [c103]Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Aggregation and Refinement of Bayesian Networks. IEEE Congress on Evolutionary Computation 2006: 1513-1520 - [c102]Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho:
Evolutionary Singularity Filter Bank Optimization for Fingerprint Image Enhancement. EvoWorkshops 2006: 380-390 - [c101]Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho:
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments. FSKD 2006: 688-691 - [c100]Han-Saem Park, Ji-Oh Yoo, Sung-Bae Cho:
A Context-Aware Music Recommendation System Using Fuzzy Bayesian Networks with Utility Theory. FSKD 2006: 970-979 - [c99]Sang-Jun Han, Sung-Bae Cho:
Predicting User's Movement with a Combination of Self-Organizing Map and Markov Model. ICANN (2) 2006: 884-893 - [c98]Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho:
Effective Fingerprint Classification by Localized Models of Support Vector Machines. ICB 2006: 287-293 - [c97]Sungsoo Lim, Sung-Bae Cho:
Online Learning of Bayesian Network Parameters with Incomplete Data. ICIC (2) 2006: 309-314 - [c96]Han-Saem Park, Sung-Bae Cho:
An Efficient Attribute Ordering Optimization in Bayesian Networks for Prognostic Modeling of the Metabolic Syndrome. ICIC (3) 2006: 381-391 - [c95]Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho:
Evolutionary Image Enhancement for Impulsive Noise Reduction. ICIC (1) 2006: 678-683 - [c94]Youn-Suk Song, Sung-Bae Cho:
Objects Relationship Modeling for Improving Object Detection Using Bayesian Network Integration. ICIC (1) 2006: 1040-1046 - [c93]Bo-Yoon Choi, Kyung-Joong Kim, Sung-Bae Cho:
The Embodiment of Autonomic Computing in the Middleware for Distributed System with Bayesian Networks. ICIC (1) 2006: 1047-1052 - [c92]Jin-Hyuk Hong, Sung-Bae Cho:
Multi-class Cancer Classification with OVR-Support Vector Machines Selected by Naïve Bayes Classifier. ICONIP (3) 2006: 155-164 - [c91]Jin-Hyuk Hong, Sungsoo Lim, Sung-Bae Cho:
Language Learning for the Autonomous Mental Development of Conversational Agents. ICONIP (3) 2006: 892-899 - [c90]Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho:
Two-Stage User Mobility Modeling for Intention Prediction for Location-Based Services. IDEAL 2006: 538-545 - [c89]Sung-Bae Cho:
Intelligent System Design for Episodic Memory on Mobile Daily Life. ISDA (1) 2006 - [c88]Kyoung Min Kim, Jin-Hyuk Hong, Sung-Bae Cho:
An Intelligent Conversational Agent as the Web Virtual Representative Using Semantic Bayesian Networks. PRICAI 2006: 807-812 - [c87]Kyung-Joong Kim, Sung-Bae Cho:
Ensemble Evolution of Checkers Players with Knowledge of Opening, Middle and Endgame. PRICAI 2006: 950-954 - [c86]Jin-Hyuk Hong, Sung-Bae Cho:
Dynamically Subsumed-OVA SVMs for Fingerprint Classification. PRICAI 2006: 1196-1200 - [p3]Kyung-Joong Kim, Sung-Bae Cho:
Uncertainty Reasoning and Chance Discovery. Chance Discoveries in Real World Decision Making 2006: 83-100 - 2005
- [j44]Seung-Ryong Yang, Sung-Bae Cho:
Co-evolutionary learning with strategic coalition for multiagents. Appl. Soft Comput. 5(2): 193-203 (2005) - [j43]Sang-Jun Han, Sung-Bae Cho:
A hybrid personal assistant based on Bayesian networks and a rule-based system inside a smartphone. Int. J. Hybrid Intell. Syst. 2(3): 221-234 (2005) - [j42]Jin-Hyuk Hong, Eun-Kyung Yun, Sung-Bae Cho:
A Review of Performance Evaluation for Biometrics Systems. Int. J. Image Graph. 5(3): 501-536 (2005) - [j41]Kyung-Joong Kim, Sung-Bae Cho:
Systematically incorporating domain-specific knowledge into evolutionary speciated checkers players. IEEE Trans. Evol. Comput. 9(6): 615-627 (2005) - [c85]Jin-Hyuk Hong, Sung-Bae Cho:
Evolving Reactive NPCs for the Real-Time Simulation Game. CIG 2005 - [c84]Sungsoo Lim, Sung-Bae Cho:
Automatic Construction of Bayesian Networks for Conversational Agent. ICIC (2) 2005: 228-237 - [c83]Jin-Hyuk Hong, Youn-Suk Song, Sung-Bae Cho:
A Hierarchical Bayesian Network for Mixed-Initiative Human-Robot Interaction. ICRA 2005: 3808-3813 - [c82]Kyung-Joong Kim, Ji-Oh Yoo, Sung-Bae Cho:
Robust Inference of Bayesian Networks Using Speciated Evolution and Ensemble. ISMIS 2005: 92-101 - [c81]Hyeun-Jeong Min, Sung-Bae Cho:
Bayesian Inference Driven Behavior Network Architecture for Avoiding Moving Obstacles. KES (2) 2005: 214-221 - [c80]Sang-Jun Han, Sung-Bae Cho:
Synthetic Character with Bayesian Network and Behavior Network for Intelligent Smartphone. KES (1) 2005: 737-743 - [c79]Kyung-Joong Kim, Si-Ho Yoo, Sung-Bae Cho:
Bayesian Validation of Fuzzy Clustering for Analysis of Yeast Cell Cycle Data. KES (3) 2005: 777-784 - [c78]Youn-Suk Song, Sung-Bae Cho, Il Hong Suh:
Activity-Object Bayesian Networks for Detecting Occluded Objects in Uncertain Indoor Environment. KES (3) 2005: 937-944 - [c77]Jin-Hyuk Hong, Sung-Bae Cho:
Cancer Prediction Using Diversity-Based Ensemble Genetic Programming. MDAI 2005: 294-304 - [c76]Sungsoo Lim, Sung-Bae Cho:
Language Generation for Conversational Agent by Evolution of Plan Trees with Genetic Programming. MDAI 2005: 305-315 - [c75]Ja-Min Koo, Sung-Bae Cho:
Effective Intrusion Type Identification with Edit Distance for HMM-Based Anomaly Detection System. PReMI 2005: 222-228 - [c74]Han-Saem Park, Sung-Bae Cho:
Evolutionary Clustering Algorithm with Knowledge-Based Evaluation for Fuzzy Cluster Analysis of Gene Expression Profiles. PReMI 2005: 640-644 - [c73]Kyung-Joong Kim, Sung-Bae Cho:
DNA Gene Expression Classification with Ensemble Classifiers Optimized by Speciated Genetic Algorithm. PReMI 2005: 649-653 - 2004
- [j40]Kyung-Joong Kim, Sung-Bae Cho:
Fuzzy integration of structure adaptive SOMs for web content mining. Fuzzy Sets Syst. 148(1): 43-60 (2004) - [j39]Kyung-Joong Kim, Sung-Bae Cho:
Prediction of colon cancer using an evolutionary neural network. Neurocomputing 61: 361-379 (2004) - [j38]Sung-Bae Cho:
Emotional image and musical information retrieval with interactive genetic algorithm. Proc. IEEE 92(4): 702-711 (2004) - [j37]Kyong-Ho Lee, Yoon-Chul Choy, Sung-Bae Cho:
An Efficient Algorithm to Compute Differences between Structured Documents. IEEE Trans. Knowl. Data Eng. 16(8): 965-979 (2004) - [c72]Seung-Ryong Yang, Jun-Ki Min, Sung-Bae Cho:
Agent-Based Evolutionary Labor Market Model with Strategic Coalition. Australian Conference on Artificial Intelligence 2004: 1-13 - [c71]Eun-Kyung Yun, Jin-Hyuk Hong, Sung-Bae Cho:
Adaptive Enhancing of Fingerprint Image with Image Characteristics Analysis. Australian Conference on Artificial Intelligence 2004: 120-131 - [c70]Jin-Hyuk Hong, Sung-Bae Cho:
Domain-Adaptive Conversational Agent with Two-Stage Dialogue Management. Australian Conference on Artificial Intelligence 2004: 1147-1153 - [c69]Sung-Bae Cho, Chanho Park:
Speciated GA for optimal ensemble classifiers in DNA microarray classification. IEEE Congress on Evolutionary Computation 2004: 590-597 - [c68]Jin-Hyuk Hong, Sung-Bae Cho:
Evolution of emergent behaviors for shooting game characters in Robocode. IEEE Congress on Evolutionary Computation 2004: 634-638 - [c67]Si-Ho Yoo, Chanho Park, Sung-Bae Cho:
Analyzing fuzzy partitions of Saccharomyces cerevisiae cell-cycle gene expression data by Bayesian validation method. CIBCB 2004: 116-122 - [c66]Jin-Hyuk Hong, Sung-Bae Cho:
Lymphoma Cancer Classification Using Genetic Programming with SNR Features. EuroGP 2004: 78-88 - [c65]Sung-Bae Cho:
Hybrid Intelligent Techniques for Intelligent Personal Assistant in Digital Convergence. HIS 2004: 5 - [c64]Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection. ICONIP 2004: 236 - [c63]Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho:
User Adaptive Answers Generation for Conversational Agent Using Genetic Programming. IDEAL 2004: 813-819 - [c62]Si-Ho Yoo, Sung-Bae Cho:
Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm. PPSN 2004: 440-449 - [c61]Hyeun-Jeong Min, Sung-Bae Cho:
Creative 3D Designs Using Interactive Genetic Algorithm with Structured Directed Graph. PRICAI 2004: 391-400 - [c60]Si-Ho Yoo, Sung-Bae Cho:
Optimal Gene Selection for Cancer Classification with Partial Correlation and k-Nearest Neighbor Classifier. PRICAI 2004: 713-722 - [c59]Han-Saem Park, Si-Ho Yoo, Sung-Bae Cho:
A Fuzzy Clustering Algorithm for Analysis of Gene Expression Profiles. PRICAI 2004: 967-968 - [p2]Sung-Bae Cho, Sang-Jun Han:
Intrusion Detection for Computer Security. Computationally Intelligent Hybrid Systems 2004: 245-272 - 2003
- [j36]Sung-Bae Cho, Hyuk-Jang Park:
Efficient anomaly detection by modeling privilege flows using hidden Markov model. Comput. Secur. 22(1): 45-55 (2003) - [j35]Sang-Jun Han, Sung-Bae Cho:
Detecting intrusion with rule-based integration of multiple models. Comput. Secur. 22(7): 613-623 (2003) - [j34]Seung-Ik Lee, Sung-Bae Cho:
A quantitative analysis of evolvability for an evolutionary fuzzy logic controller. Integr. Comput. Aided Eng. 10(4): 369-385 (2003) - [j33]Sung-Bae Cho, Hong-Hee Won:
Data Mining For Gene Expression Profiles From Dna Microarray. Int. J. Softw. Eng. Knowl. Eng. 13(6): 593-608 (2003) - [j32]Kyong-Ho Lee, Yoon-Chul Choy, Sung-Bae Cho:
Logical Structure Analysis and Generation for Structured Documents: A Syntactic Approach. IEEE Trans. Knowl. Data Eng. 15(5): 1277-1294 (2003) - [c58]Sung-Bae Cho, Hong-Hee Won:
Machine Learning in DNA Microarray Analysis for Cancer Classification. APBC 2003: 189-198 - [c57]Sang-Jun Han, Sung-Bae Cho:
Combining Multiple Host-Based Detectors Using Decision Tree. Australian Conference on Artificial Intelligence 2003: 208-220 - [c56]Eun-Kyung Yun, Sung-Bae Cho:
Learning Action Selection Network of Intelligent Agent. Australian Conference on Artificial Intelligence 2003: 578-589 - [c55]Kyung-Joong Kim, Sung-Bae Cho:
BN+BN: Behavior Network with Bayesian Network for Intelligent Agent. Australian Conference on Artificial Intelligence 2003: 979-991 - [c54]Sung-Bae Cho, Frank E. Pollick:
Toward Person Authentication with Point Light Display Using Neural Network Ensembles. AVBPA 2003: 878-885 - [c53]Jin-Hyuk Hong, Sung-Bae Cho:
MEH: modular evolvable hardware for designing complex circuits. IEEE Congress on Evolutionary Computation 2003: 92-99 - [c52]Kyung-Joong Kim, Sung-Bae Cho:
Evolving artificial neural networks for DNA microarray analysis. IEEE Congress on Evolutionary Computation 2003: 2370-2377 - [c51]Chanho Park, Sung-Bae Cho:
Evolutionary ensemble classifier for lymphoma and colon cancer classification. IEEE Congress on Evolutionary Computation 2003: 2378-2385 - [c50]Kyung-Joong Kim, Sung-Bae Cho, Sang-Rok Oh:
Behavior selection architecture for tangible agent. CIRA 2003: 175-180 - [c49]Hyeun-Jeong Min, Kyung-Joong Kim, Sung-Bae Cho:
Generating optimal behaviors of mobile robot using behavior network with planning capability. CIRA 2003: 186-191 - [c48]Hong-Hee Won, Sung-Bae Cho:
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification. ICANN 2003: 1143-1150 - [c47]Jin-Hyuk Hong, Sung-Bae Cho:
A Two-Stage Bayesian Network for Effective Development of Conversational Agent. IDEAL 2003: 1-9 - [c46]Eun-Kyung Yun, Sung-Bae Cho:
Learning Classifier System for Generating Various Types of Dialogues in Conversational Agent. IDEAL 2003: 84-88 - [c45]Sung-Bae Cho, Jee-Haeng Lee:
Learning Neural Network Ensemble for Practical Text Classification. IDEAL 2003: 1032-1036 - [c44]Chanho Park, Sung-Bae Cho:
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification. ISMIS 2003: 521-530 - [c43]Seung-Ryong Yang, Sung-Bae Cho:
Evolutionary Learning of Multiagents Using Strategic Coalition in the IPD Game. PRIMA 2003: 50-61 - [c42]Sung-Bae Cho, Sang-Jun Han:
Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems. RAID 2003: 207-219 - [c41]Sang-Jun Han, Sung-Bae Cho:
Rule-based integration of multiple measure-models for effective intrusion detection. SMC 2003: 120-125 - [c40]Ja-Min Koo, Sung-Bae Cho:
Viterbi Algorithm for Intrusion Type Identification in Anomaly Detection System. WISA 2003: 97-110 - [p1]Kyong-Ho Lee, Yoon-Chul Choy, Sung-Bae Cho:
Structure Analysis and Generation for Internet Documents. Intelligent Exploration of the Web 2003: 3-18 - 2002
- [j31]Sung-Bae Cho:
Towards Creative Evolutionary Systems with Interactive Genetic Algorithm. Appl. Intell. 16(2): 129-138 (2002) - [j30]Sung-Bae Cho:
Fusion of neural networks with fuzzy logic and genetic algorithm. Integr. Comput. Aided Eng. 9(4): 363-372 (2002) - [j29]Jungwon Ryu, Sung-Bae Cho:
Gender recognition of human behaviors using ensembles of neural network classifiers. Int. J. Comput. Syst. Signals 3(1): 1-13 (2002) - [j28]Sung-Bae Cho:
Exploring Features and Classifiers to Classify Gene Expression Profiles of Acute Leukemia. Int. J. Pattern Recognit. Artif. Intell. 16(7): 831-844 (2002) - [j27]Sung-Bae Cho, Jungwon Ryu:
Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features. Proc. IEEE 90(11): 1744-1753 (2002) - [j26]Sung-Bae Cho:
Incorporating soft computing techniques into a probabilistic intrusion detection system. IEEE Trans. Syst. Man Cybern. Part C 32(2): 154-160 (2002) - [j25]Sung-Bae Cho, Joo-Young Lee:
A human-oriented image retrieval system using interactive genetic algorithm. IEEE Trans. Syst. Man Cybern. Part A 32(3): 452-458 (2002) - [c39]Young-Chul Kim, Sung-Bae Cho, Sang-Rok Oh:
The Dempster-Shafer Approach to Map-Building for an Autonomous Mobile Robot with Fuzzy Controller. AFSS 2002: 40-46 - [c38]Jungwon Ryu, Sung-Bae Cho:
Towards Optimal Feature and Classifier for Gene Expression Classification of Cancer. AFSS 2002: 310-317 - [c37]Seung-Ik Lee, Sung-Bae Cho:
Measuring evolvability in evolutionary fuzzy robotics. IEEE Congress on Evolutionary Computation 2002: 163-168 - [c36]Kyung-Joong Kim, Sung-Bae Cho:
Evolving speciated checkers players with crowding algorithm. IEEE Congress on Evolutionary Computation 2002: 407-412 - [c35]Keum-Sung Hwang, Sung-Bae Cho:
Evolving diverse hardwares using speciated genetic algorithm. IEEE Congress on Evolutionary Computation 2002: 437-442 - [c34]Jong-Ha Lee, Sung-Bae Cho:
Analysis of direct manipulation in interactive evolutionary computation on fitness landscape. IEEE Congress on Evolutionary Computation 2002: 460-465 - [c33]Kyong-Ho Lee, Yoon-Chul Choy, Sung-Bae Cho, Xiao Tang, Victor McCrary:
Document Reverse Engineering: From Paper to XML. Document Analysis Systems 2002: 503-506 - [c32]Kyung-Joong Kim, Sung-Bae Cho:
Checkers Strategy Evolution with Speciated Neural Networks. PRICAI 2002: 599 - [c31]Hyuk-Jang Park, Sung-Bae Cho:
An Effective HMM-Based Intrusion Detection System with Privilege Change Event Modeling. PRICAI 2002: 617-618 - 2001
- [j24]Sung-Bae Cho:
Applications of artificial life to developing robot and softbot. Artif. Life Robotics 5(3): 142-147 (2001) - [j23]Seung-Ik Lee, Sung-Bae Cho:
Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm. IEEE Trans. Syst. Man Cybern. Part B 31(6): 919-929 (2001) - [c30]Joon-Hyun Ahn, Sung-Bae Cho:
Speciated neural networks evolved with fitness sharing technique. CEC 2001: 390-396 - [c29]Hee-Su Kim, Sung-Bae Cho:
An efficient genetic algorithm with less fitness evaluation by clustering. CEC 2001: 887-894 - [c28]Seung-Ik Lee, Sung-Bae Cho:
Observational emergence of a fuzzy controller evolved by genetic algorithm. CEC 2001: 1047-1054 - [c27]Kyung-Joong Kim, Sung-Bae Cho:
Coordination of multiple behavior modules evolved on CAM-Brain. CEC 2001: 1414-1421 - [c26]Kyung-Joong Kim, Sung-Bae Cho:
Dynamic selection of evolved neural controllers for higher behaviors of mobile robot. CIRA 2001: 467-472 - [c25]Hiroaki Nishino, Hideyuki Takagi, Sung-Bae Cho, Kouichi Utsumiya:
A 3D Modeling System for Creative Design. ICOIN 2001: 479-486 - [c24]Sung-Bae Cho:
Cooperative Co-evolution of Multi-agents. JSAI Workshops 2001: 185-194 - [c23]Kyung-Joong Kim, Sung-Bae Cho:
Conceptual Information Extraction with Link-Based Search. Web Intelligence 2001: 367-372 - [c22]Seung-Ik Lee, Chul Sung, Sung-Bae Cho:
An Effective Conversational Agent with User Modeling Based on Bayesian Network. Web Intelligence 2001: 428-432 - 2000
- [j22]Sung-Bae Cho, Geum-Beom Song:
Evolving CAM-Brain to control a mobile robot. Appl. Math. Comput. 111(2-3): 147-162 (2000) - [j21]Hak-Gyoon Kim, Sung-Bae Cho:
Structured storage and retrieval of SGML documents using Grove. Inf. Process. Manag. 36(4): 643-657 (2000) - [j20]Sung-Bae Cho:
Ensemble of structure-adaptive self-organizing maps for high performance classification. Inf. Sci. 123(1-2): 103-114 (2000) - [j19]Sung-Bae Cho:
Application of Choquet Integral to Efficient Aggregation of Neural Networks. J. Adv. Comput. Intell. Intell. Informatics 4(1): 52-56 (2000) - [j18]Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao:
The Impact of Payoff Function and Local Interaction on the N -Player Iterated Prisoner's Dilemma. Knowl. Inf. Syst. 2(4): 461-478 (2000) - [j17]Kyong-Ho Lee, Yoon-Chul Choy, Sung-Bae Cho:
Geometric Structure Analysis of Document Images: A Knowledge-Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1224-1240 (2000) - [c21]Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao:
Exploiting coalition in co-evolutionary learning. CEC 2000: 1268-1275 - [c20]Hee-Su Kim, Sung-Bae Cho:
Knowledge-based Encoding in Interactive Genetic Algorithm for a Fashion Design Aid System. GECCO 2000: 757 - [c19]Jongho Choy, Sung-Bae Cho:
Anomaly Detection of Computer Usage Using Artificial Intelligence Techniques. PRICAI Workshops 2000: 31-43 - [c18]Hyun-Don Kim, Sung-Bae Cho:
Application of Self-Organizing Maps to Classification and Browsing of FAQ E-mails. PRICAI Workshops 2000: 44-55 - [c17]Hee-Su Kim, Sung-Bae Cho:
Genetic Algorithm with Knowledge-Based Encoding. PRICAI 2000: 404-414 - [c16]Jongho Choy, Sung-Bae Cho:
Intrusion Detection by Combining Multiple Hidden Markov Models. PRICAI 2000: 829 - [c15]Hyun-Don Kim, Joon-Hyun Ahn, Sung-Bae Cho:
Conceptual Classification and Browsing of Internet FAQs Using Self-Organizing Neural Networks. PRICAI 2000: 830
1990 – 1999
- 1999
- [j16]Sung-Bae Cho:
Pattern recognition with neural networks combined by genetic algorithm. Fuzzy Sets Syst. 103(2): 339-347 (1999) - [c14]Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao:
Emergence of cooperative coalition in NIPD game with localization of interaction and learning. CEC 1999: 877-884 - 1998
- [j15]Sung-Bae Cho, Katsunori Shimohara:
Evolutionary Learning of Modular Neural Networks with Genetic Programming. Appl. Intell. 9(3): 191-200 (1998) - [j14]Sung-Bae Cho:
Evolutionary modular neural networks for intelligent systems. Int. J. Intell. Syst. 13(6): 483-493 (1998) - [j13]Sung-Bae Cho, Seung-Ik Lee:
Mobile robot learning by evolution of fuzzy controller. J. Intell. Fuzzy Syst. 6(1): 91-97 (1998) - [c13]Kyong-Ho Lee, Sung-Bae Cho, Yoon-Chul Choy:
A knowledge-based automated vectorizing system for geographic information system. ICPR 1998: 1546-1548 - [c12]Kyong-Ho Lee, Sung-Bae Cho, Yoon-Chul Choy:
A knowledge-based system for automated vectorization. KES (3) 1998: 396-402 - [c11]Yeon-Gyu Seo, Sung-Bae Cho:
An Evolutionary Study on Cooperation in N-person Iterated Prisoner's Dilemma Game. SEAL 1998: 301-308 - [c10]Sung-Bae Cho, Katsunori Shimohara:
Grammatical Development of Evolutionary Modular Neural Networks. SEAL 1998: 413-420 - 1997
- [j12]Sung-Bae Cho:
Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition. Neural Comput. 9(6): 1345-1355 (1997) - [j11]James Newman, Bernard J. Baars, Sung-Bae Cho:
A Neural Global Workspace Model for Conscious Attention. Neural Networks 10(7): 1195-1206 (1997) - [j10]Sung-Bae Cho:
Neural-network classifiers for recognizing totally unconstrained handwritten numerals. IEEE Trans. Neural Networks 8(1): 43-53 (1997) - [c9]Sung-Bae Cho:
Handwritten Digit Recognition by Combining Structure-Adaptive Self-Organizing Maps. ICONIP (2) 1997: 1231-1234 - 1996
- [j9]Sung-Bae Cho:
A neurocomputing framework: From methodologies to application. Neurocomputing 13(2-4): 151-170 (1996) - [c8]Sung-Bae Cho, Katsunori Shimohara:
Modular Neural Networks Evolved by Genetic Programming. International Conference on Evolutionary Computation 1996: 681-684 - [c7]Sung-Bae Cho:
Recognition of unconstrained handwritten numerals by doubly self-organizing neural network. ICPR 1996: 426-430 - [c6]Jonghyun Paik, Sung-Bae Cho, Kwanyong Lee, Yillbyung Lee:
Multiple recognizers system using two-stage combination. ICPR 1996: 581-585 - [c5]Younki Min, Sung-Bae Cho, Yillbyung Lee:
A data reduction method for efficient document skew estimation based on Hough transformation. ICPR 1996: 732-736 - [c4]Sung-Bae Cho:
Genetic neuro-fuzzy architectures for advanced intelligent systems. IFIP World Conference on IT Tools 1996: 359-366 - [c3]Sung-Bae Cho, Seung-Ik Lee:
Hybrid Evolutionary Learning of Fuzzy Logic and Genetic Algorithm. SEAL 1996: 206-215 - 1995
- [j8]Sung-Bae Cho:
Fuzzy aggregation of modular neural networks with ordered weighted averaging operators. Int. J. Approx. Reason. 13(4): 359-375 (1995) - [j7]Sung-Bae Cho, Thomas S. Ray:
An Evolutionary Approach to Program Transformation and Synthesis. Int. J. Softw. Eng. Knowl. Eng. 5(2): 179-192 (1995) - [j6]Sung-Bae Cho, Jin H. Kim:
An HMM/MLP Architecture for Sequence Recognition. Neural Comput. 7(2): 358-369 (1995) - [j5]Sung-Bae Cho, Jin H. Kim:
Multiple network fusion using fuzzy logic. IEEE Trans. Neural Networks 6(2): 497-501 (1995) - [j4]Sung-Bae Cho, Jin H. Kim:
Combining multiple neural networks by fuzzy integral for robust classification. IEEE Trans. Syst. Man Cybern. 25(2): 380-384 (1995) - 1994
- [c2]Sung-Bae Cho:
A Neuro-Fuzzy Architecture for High Performance Classification. IEEE/Nagoya-University World Wisepersons Workshop 1994: 67-84 - 1992
- [j3]Sung-Bae Cho, Jin H. Kim:
Strategic Application of Feedforward Neural Networks to Large-Scale Classification. Complex Syst. 6(4) (1992) - [j2]Sung-Bae Cho, Jin H. Kim:
Recognition of large-set printed Hangul (Korean script) by two-stage backpropagation neural classifier. Pattern Recognit. 25(11): 1353-1360 (1992) - [j1]Sung-Bae Cho, Jin H. Kim:
A two-stage classification scheme with backpropagation neural network classifiers. Pattern Recognit. Lett. 13(5): 309-313 (1992) - 1990
- [c1]Sung-Bae Cho, J. H. Kim:
Hierarchically structured neural networks for printed Hangul character recognition. IJCNN 1990: 265-270
Coauthor Index
Seok-Jun Buu
aka: Seok-Jun Bu
aka: Seok-Jun Bu
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
[j192] [j190] [j184] [j181] [c277] [j168] [j166] [j165] [j160] [j158] [j154] [j149] [j148] [c234] [c233] [j139] [j137] [j130] [j126] [j125] [j124] [j120] [p7] [j114] [j111] [j110] [j100] [j99] [j97] [j95] [j93] [j92] [c177] [c176] [p6] [e2] [j85] [j82] [j81] [j79] [c143] [j74] [c135] [c131] [c130] [c123]
Jin Young Kim
aka: Jin-Young Kim
aka: Jin-Young Kim
[j169] [j140] [j129] [j119] [j115] [c197] [c191] [j108] [j107] [j89] [j88] [c159] [c145] [c144] [j72] [j69] [c137] [j67] [j61] [j59] [c122] [c118] [c117] [c114] [c111] [p4] [j56] [j55] [j53] [j52] [c104] [c103] [c93] [c87] [p3] [j41] [c82] [c79] [c73] [j40] [j39] [c64] [c55] [c52] [c50] [c49] [c36] [c32] [c27] [c26] [c23]
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