K. Zhou, S. -K. Oh, W. Pedrycz, J. Qiu, and K. Seo, “A Self-organizing Deep Network Architecture Designed Based on LSTM Network via Elitism-driven Roulette-Wheel Selection for
Time-Series Forecasting”
Knowledge-based Systems, Volume 289, 2024. 4, SCI, IF 8.8
S. Liu, S. -K. Oh, W. Pedrycz, B. Yang, L. Wang, K. Seo, “Fuzzy Adaptive Knowledge-Based Inference
Neural Networks: Design and Analysis,”
EEE Transactions on Cybernetics, Early Access, 2024. 3, SCI, IF 11.8
S Gwon, S. Kim, K. Seo, “Balanced and Essential Modality-Specific and Modality-Shared Representations for
Visible-Infrared Person Re-Identification,”
IEEE Signal Processing Letters, Volume: 31, pp. 491-495, 2024. 1
S. Kim, S. Kang, H. Choi, S. S. Kim, K. Seo, “Keypoint Aware Robust Representation for Transformer-based Re-identification of
Occluded Person,”
IEEE Signal Processing Letters, Volume: 30, pp. 65 - 69, 2023. 1, IF 3.201
K. Zhou, S-K. Oh, J. Quin, W. Pedrycz, K. Seo, “Reinforced Two-stream Fuzzy Neural Networks Architecture Realized with
the Aid of 1D/2D Data Features,”
IEEE Transactions on Fuzzy Systems, Volume 31, Issue 3, pp. 707-721, 2023 3, SCI, IF 12.029
S. Lee, S. Kim, S. S. Kim, K. Seo, “Similarity-based adversarial knowledge distillation using graph convolutional neural network,“
Electronics Letters, Wiley, Volume 58, Issue 16, pp,606-608 2022. 8, SCIE
S. Kang, S. S. Kim, K. Seo, “Genetic Algorithm-Based Structure Reduction for Convolutional Neural Network,“
JEET(Journal of Electrical Engineering and Technology), Springer, Volume 17, Issue 5, pp. 3015–3020, 2022, SCIE
S-B. Roh, S-K. Oh, W. Pedrycz, Z.Wang, Z.Fu, K. Seo, “Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on
Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation,”
IEEE Transactions on Fuzzy Systems, Volume 30, Issue 10, pp. 4273-4285, 2022. 10, SCI, IF 12.029
J. Kim, K. Jeong, H. Choi, K. Seo, “GAN-based Anomaly Detection in Imbalance Problems”
ECCV-2020 Workshops, Lecture Notes in Computer Science, Springer-Verlag, LNCS volumes 12536), January 2020, SCOPUS.
S-B Roh, S-K Oh, W. Pedrycz, K. Seo, Z. Fu, "Design Methodology for Radial Basis Function Neural Networks Classifier Based on
Locally Linear Reconstruction and Conditional Fuzzy C-Means Clustering"
International Journal of Approximate Reasoning, Volume 106, March 2019, pp. 228-243, SCI, IF 3.816.
D. Kyeong, K. Seo, "Two CPG Based Gait Generation Methods to Improve an Adaptation Ability on Slop Terrains for Humanoid Robots"
JEET(Journal of Electrical Engineering and Technology), March 2019, Volume 14, Issue 2, pp 941–946, Springer, SCIE, IF 1.069
J. Kim, M. Lee, J. Choi, K. Seo, “GA-based Filter Selection for Representation in Convolutional Neural Networks”
ECCV-2018 Workshop, Springer-Verlag, LNCS volumes 11134, pp. 1–10, 2019, SCOPUS
J. Yoon, D. Kyeong, K. Seo, "A hybrid method based on F-transform for robust estimators"
International Journal of Approximate Reasoning, Elsevier, Volume 104, January 2019, pp. 75-83, SCI, IF 3.816.
E. Kim, J. Ko, S. Oh, K. Seo, "Design of Meteorological Pattern Classification System Based on FCM-based Radial Basis Function Neural Networks
Using Meteorological Radar Data"
Soft Computing Springer, March 2019, Volume 23, Issue 6,pp 1857–1872, SCIE, IF 3.643.
Y. Cho, K. Seo, "Building a HOG Descriptor Model of Pedestrian Images Using GA and GP Learning"
International Journal of Fuzzy Logic and Intelligent Systems, Vol. 18, No. 2, pp. 111-119, June 2018.
S. Roh, S. Oh, J. Yoon, K. Seo, "Design of face recognition system based on fuzzy transform and radial basis function neural networks"
Soft Computing, Springer, July 2019, Volume 23, Issue 13,pp 4969–4985, SCIE, IF 3.643
S. Roh, S. Oh, W. Pedrycz, K. Seo, "Development of Auto Focusing Algorithm Based on Fuzzy Transforms"
Fuzzy Sets and Systems, Elsevier, Vol.288, pp.129-144, April, 2016, SCI, IF 3.343
K. Seo, S. Hyun, and Y.-H. Kim, "An Edge-set Representation Based on Spanning Tree for Searching Cut Space"
IEEE Trans. on Evolutionary Computation, Vol. 19, No. 4, pp.465-473, Aug. 2015, SCI, IF 11.554.
K. Seo, B. Hyeon , "Cartesian Genetic Programming Based Optimization and Prediction"
advanced in Intelligent Systems and Computing, Springer, Vol. 275, pp. 497-502, 2014.
K. Seo, "Toward Evolutionary Nonlinear Prediction Model for Temperature Forecast Using Less Weather Elements"
advanced in Intelligent Systems and Computing, Springer, Vol. 275, pp. 491-495, 2014.
K. Seo, C. Pang, "Tree-Structure-Aware Genetic Operators in Genetic Programming"
JEET(Journal of Electrical Engineering and Technology), Vol.9, no.2, pp.755-761 , March 2014.
S. Oh, W. Kim, W. Pedrycz, K. Seo, "Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization"
Fuzzy Sets and Systems, Elsevier, Vol.237, pp.96-117, Feb. 2014
K Seo, S. Hyun, "A Comparative Study among Three Automatic Gait Generation Methods for Quadruped Robots"
IEICE(Institute of Electronics, Information and Communication Engineers) Trans. on Information and Systems, Vol. E97-D, No.2, pp.353-356, Feb. 2014.
K. Seo, S. Hyun, "Toward Automatic Gait Generation for Quadruped Robots Using Cartesian Genetic Programming"
Lecture Notes in Computer Science, Springer-Verlag, Vol. 7835, pp. 599-605, 2013.
K. Seo, B. Hyeon, S. Hyun, and Y. Lee, "Genetic Programming-Based Model Output Statistics for Short-Range Temperature Prediction"
Lecture Notes in Computer Science, Springer-Verlag, Vol. 7835, pp. 122-131, 2013.
K. Seo, S. Hyun, and Y.-H. Kim, "A Spanning Tree-Based Encoding of the MAX CUT Problem for Evolutionary Search"
Lecture Notes in Computer Science, Springer-Verlag, Vol. LNCS 7491, Part 1, pp. 510-518, 2012
S. Yoo, S. Oh, K. Seo, Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks"
Lecture Notes in Computer Science, Springer-Verlag, Vol. LNCS 7368, Part 2, pp. 213-220, 2012
S. Hyun, K. Seo, "Analysis of two evolutionary gait generation techniques for different coordinate approaches"
IEICE(Institute of Electronics, Information and Communication Engineers) ELECTRONICS EXPRESS, Vol. 8, No. 11, pp. 873-878. 2011.
K. Seo, Y. Kim, "Automated generation of rotation-robust corner detectors"
IEICE(Institute of Electronics, Information and Communication Engineers) ELECTRONICS EXPRESS, Vol. 7, No. 17, pp. 1226-1232. 2010. 10
K. Seo, S. Hyun E. D. Goodman, "Genetic Programming-Based Automatic Gait Generation in Joint Space for a Quadruped Robot"
Advanced Robotics, Vol. 24, No. 15, pp. 2199-2214. 2010.
K. Seo, Y. Kim, "Scale- and Rotation-Robust Genetic Programming-Based Corner Detectors"
Lecture Notes in Computer Science, Springer-Verlag, Vol. 6024/2010, pp. 381-391, 2010
S. Yoo, S. Oh, K. Seo, "Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks"
Lecture Notes in Computer Science, Springer-Verlag, Vol. LNCS 7368, Part 2, pp. 213-220, 2012.
S. Hyun, K. Seo, "Analysis of two evolutionary gait generation techniques for different coordinate approaches"
IEICE(Institute of Electronics, Information and Communication Engineers) ELECTRONICS EXPRESS, Vol. 8, No. 11, pp. 873-878. 2011.
K. Seo, Y. Kim, "Automated generation of rotation-robust corner detectors"
IEICE(Institute of Electronics, Information and Communication Engineers) ELECTRONICS EXPRESS, to be published in 2010.
K. Seo, S. Hyun, E. D. Goodman, "Genetic Programming-Based Automatic Gait Generation in Joint Space for a Quadruped Robot"
Advanced Robotics, to be published in 2010.
K. Seo, Y. Kim, "Scale- and Rotation-Robust Genetic Programming-Based Corner Detectors"
Lecture Notes in Computer Science, Springer-Verlag, Vol. 6024/2010, pp. 381-391, 2010
K. Seo, S. Hyun, "A Comparative Study between Genetic Algorithm and Genetic Programming Based Gait Generation Methods for Quadruped Robots?"
Lecture Notes in Computer Science, Springer-Verlag, Vol. 6024/2010, pp. 352-360, 2010
Y. Cho, K. Seo, H. Lee, "A Direct Adaptive Fuzzy Control of Nonlinear Systems with Application"
International Journal of Control, Automation, and Systems, ICASE, Vol. 5, No. 6, pp. 630-642. 2007.
J. Choi, S. Oh, K. Seo, "Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms"
Lecture Notes in Computer Science, Springer-Verlag, Vol. 4493/2007,pp. 225-230, 2007.
J. Hu, E. Goodman, K. Seo, Z. Fan, R. Rosenberg. "The Hierarchical Fair Competition (HFC) Framework for Continuing Evolutionary Algorithms"
Evolutionary Computation, The MIT Press, Vol. 13 Issue 2, pp. 241-277, 2005.
K. Seo, J. Hu, Z. Fan, E. Goodman, and R. Rosenberg, "Hierarchical Breeding Control for Efficient Topology/ Parameter Evolution"
Lecture Notes in Computer Science, Springer-Verlag, Vol. 3103/2004, pp. 722-723, 2004.
Z. Fan, K. Seo, J. Hu, R. Rosenberg, and E. Goodman, "System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs"
Lecture Notes in Computer Science, Springer, Vol. 2723/2003, pp. 2058-2071, 2003.
K. Seo, Z. Fan, J. Hu, E. Goodman, and R. Rosenberg, "Dense and Switched Modular Primitives for Bond Graph Model Design"
Lecture Notes in Computer Science, Springer, Vol. 2724/2003, pp. 1764-1775, 2003.
J. Hu, K. Seo, Z. Fan, R. Rosenberg, and E. Goodman, "HEMO: A Sustainable Multi-Objective Evolutionary Optimization Framework"
Lecture Notes in Computer Science, Springer, Vol. 2723/2003, pp. 1029-1040, 2003.
Fan, K. Seo, J. Hu, E. Goodman, R. Rosenberg, "A Novel Evolutionary Engineering Design Approach for Mixed-Domain Systems"
Engineering Optimization, Taylor & Francis, Vol. 36, no. 2, pp. 127-147, 2003.
K. Seo, J. Hu, Z. Fan, E. D. Goodman, and R. C. Rosenberg, "Toward an Automated Design Method for Multi-Domain Dynamic Systems
Using Bond Graphs and Genetic Programming"
Mechatronics, Elsevier, Volume 13, Issues 8-9,
2003, pp. 851-885
K. Seo, J. Hu, Z. Fan, E. D. Goodman, and R. C. Rosenberg, "Automated Design Approaches for Multi-Domain Dynamic Systems
Using Bond Graphs and Genetic Programming"
The International Journal of Computers, Systems and Signals, vol.3, no.1, pp.55-70, 2002.