Byoung-Jun Park

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 6

Top Topics

Genetic Optimization

Physiological Signals

Intensity Levels

Top Venues

Publications

Mostafa Honari-Latifpour, Byoung-Jun Park, Yoshihisa Yamamoto, Myoung-Gyun Suh
Hyperspectral In-Memory Computing. OFC (2024)
Mostafa Honari-Latifpour, Byoung-Jun Park, Yoshihisa Yamamoto, Myoung-Gyun Suh
Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories. CoRR (2023)
Changrak Yoon, Byoung-Jun Park, Dohyun Kim
Implementation of model-based development tool and run-time engine for digital cockpit system. ICTC (2017)
Byoung-Jun Park, Changrak Yoon, Eun-Hye Jang, Do-Hyun Kim
Physiological signals and recognition of negative emotions. ICTC (2017)
Jeong-Woo Lee, Byoung-Jun Park, Kyong-Ho Kim, Hyun-Kyun Choi
A testbed for development and test of the safe driving system. ICTC (2016)
Byoung-Jun Park, Jeong-Woo Lee, Changrak Yoon, Kyong-Ho Kim
A Study on Augmented Reality of a Vehicle Information Using Head-Up Display. ICITCS (2016)
Byoung-Jun Park, Jeong-Woo Lee, Changrak Yoon, Kyong-Ho Kim
Augmented reality for collision warning and path guide in a vehicle. VRST (2015)
Byoung-Jun Park, Jeong-Woo Lee, Changrak Yoon, Kyong-Ho Kim
Augmented reality and representation in vehicle for safe driving at night. ICTC (2015)
Jeong-Woo Lee, Byoung-Jun Park, Changrak Yoon, Kyong-Ho Kim
A study of issues and considerations for development of a vehicle AR system. ICTC (2015)
Yoonsook Hwang, Byoung-Jun Park, Kyong-Ho Kim
The effects of augmented-reality head-up display system on the perception of precautionary situation. ICTC (2015)
Byoung-Jun Park, Eun-Hye Jang, Sang-Hyeob Kim, Myung-Ae Chung, Jin-Hun Sohn
A Study on Autonomic Nervous System Responses and Feauture Selection for Emotion Recognition - Emotion Recognition using Machine Learning Algorithms. BIOSIGNALS (2014)
Byoung-Jun Park, Wook-Dong Kim, Sung-Kwun Oh, Witold Pedrycz
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization. Knowl. Inf. Syst. 39 (1) (2014)
Eun-Hye Jang, Mi-Sook Park, Byoung-Jun Park, Sang-Hyeob Kim, Myung-Ae Chung, Jin-Hun Sohn
Relationship between Affective Dimensions and Physiological Responses Induced by Emotional Stimuli - Base on Affective Dimensions: Arousal, Valence, Intensity and Approach. PhyCS (2014)
Eun-Hye Jang, Byoung-Jun Park, Sang-Hyeob Kim, Myung-Ae Chung, Jin-Hun Sohn
Correlation between Psychological and Physiological Responses during Fear - Relationship to Perceived Intensity of Fear. BIOSIGNALS (2014)
Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz
The design of polynomial function-based neural network predictors for detection of software defects. Inf. Sci. 229 (2013)
Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park, Witold Pedrycz
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. Neurocomputing 119 (2013)
Eun-Hye Jang, Byoung-Jun Park, Sang-Hyeob Kim, Jin-Hun Sohn
Emotion classification based on physiological signals induced by negative emotions: Discriminantion of negative emotions by machine learning algorithm. ICNSC (2012)
Eun-Hye Jang, Byoung-Jun Park, Sang-Hyeob Kim, Jin-Hun Sohn
Three Differential Emotion Classification by Machine Learning Algorithms using Physiological Signals - Discriminantion of Emotions by Machine Learning Algorithms. ICAART (1) (2012)
Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park
Design of context-FCM based RBF neural networks with the aid of data information granulation. RACS (2012)
Eun-Hye Jang, Byoung-Jun Park, Sang-Hyeob Kim, Jin-Hun Sohn
Emotion Classification based on Physiological Responses Induced by Negative Emotions - Discrimination of Negative Emotions by Machine Learning Algorithms. BIOSIGNALS (2012)
Byoung-Jun Park, Eun-Hye Jang, Sang-Hyeob Kim, Chul Huh, Jin-Hun Sohn
Seven emotion recognition by means of particle swarm optimization on physiological signals: Seven emotion recognition. ICNSC (2012)
Byoung-Jun Park, Jeoung-Nae Choi, Wook-Dong Kim, Sung-Kwun Oh
Analytic design of information granulation-based fuzzy radial basis function neural networks with the aid of multiobjective particle swarm optimization. Int. J. Intell. Comput. Cybern. 5 (1) (2012)
Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. Fuzzy Sets Syst. 163 (1) (2011)
Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park
A design of dynamically simultaneous search GA-based fuzzy neural networks: comparative analysis of FS and FR-based rules. RACS (2011)
Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. Appl. Intell. 32 (1) (2010)
Myunghee Son, Byoung-Jun Park
Proactive Stop and Start Technology for High Gas Mileage of the Used Car. VTC Fall (2010)
Witold Pedrycz, Byoung-Jun Park, Nicolino J. Pizzi
Identifying core sets of discriminatory features using particle swarm optimization. Expert Syst. Appl. 36 (3) (2009)
Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme. IEEE Trans. Fuzzy Syst. 17 (6) (2009)
Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16 (2) (2008)
Witold Pedrycz, Byoung-Jun Park, Sung-Kwun Oh
The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition. Pattern Recognit. 41 (12) (2008)
Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering. Inf. Softw. Technol. 50 (9-10) (2008)
Byoung-Jun Park, Sung-Kwun Oh, Young-Il Lee
Hybrid Fuzzy Neural Networks by Means of Information Granulation and Genetic Optimization and Its Application to Software Process. Int. J. Fuzzy Log. Intell. Syst. 7 (2) (2007)
Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2006)
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. ISNN (1) (2006)
Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
Fuzzy polynomial neurons as neurofuzzy processing units. Neural Comput. Appl. 15 (3-4) (2006)
Sung-Kwun Oh, Byoung-Jun Park, Hyun-Ki Kim
Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons. ISNN (1) (2005)
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim
Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. ICCSA (4) (2005)
Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim
Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization. International Conference on Computational Science (3) (2005)
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim
Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. MDAI (2005)
Byoung-Jun Park, Sung-Kwun Oh
Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation. ISNN (1) (2005)
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. International Conference on Computational Science (1) (2005)
Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
Relation-based neurofuzzy networks with evolutionary data granulation. Math. Comput. Model. 40 (7-8) (2004)
Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. International Conference on Computational Science (2004)
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. ISNN (1) (2004)
Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
Self-organizing neurofuzzy networks in modeling software data. Fuzzy Sets Syst. 145 (1) (2004)
Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
Polynomial neural networks architecture: analysis and design. Comput. Electr. Eng. 29 (6) (2003)
Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. IEEE Trans. Syst. Man Cybern. Part A 33 (2) (2003)
Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling. IEEE Trans. Fuzzy Syst. 10 (5) (2002)
Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
Hybrid identification of fuzzy rule-based models. Int. J. Intell. Syst. 17 (1) (2002)