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ORCIDByoung-Jun Park
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2020 – today
- 2024
[c29]Mostafa Honari-Latifpour, Byoung-Jun Park, Yoshihisa Yamamoto, Myoung-Gyun Suh:
Hyperspectral In-Memory Computing. OFC 2024: 1-3- 2023
- [i1]Mostafa Honari-Latifpour, Byoung-Jun Park, Yoshihisa Yamamoto, Myoung-Gyun Suh:
Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories. CoRR abs/2310.11014 (2023)
2010 – 2019
- 2017
- [c28]Changrak Yoon, Byoung-Jun Park, Dohyun Kim:
Implementation of model-based development tool and run-time engine for digital cockpit system. ICTC 2017: 1064-1066 - [c27]Byoung-Jun Park, Changrak Yoon, Eun-Hye Jang, Do-Hyun Kim:
Physiological signals and recognition of negative emotions. ICTC 2017: 1074-1076 - 2016
- [c26]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: 1-2 - [c25]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: 1149-1151 - 2015
- [c24]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: 1146-1148 - [c23]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: 1160-1162 - [c22]Byoung-Jun Park, Jeong-Woo Lee, Changrak Yoon, Kyong-Ho Kim:
Augmented reality and representation in vehicle for safe driving at night. ICTC 2015: 1261-1263 - [c21]Byoung-Jun Park, Jeong-Woo Lee, Changrak Yoon, Kyong-Ho Kim:
Augmented reality for collision warning and path guide in a vehicle. VRST 2015: 195 - 2014
- [j20]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): 207-240 (2014) - [c20]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: 104-109 - [c19]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: 116-121 - [c18]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: 254-259 - 2013
- [j19]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: 292-307 (2013) - [j18]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: 40-57 (2013) - [c17]Byoung-Jun Park, Eun-Hye Jang, Sang-Hyeob Kim, Chul Huh, Myung-Ae Chung:
The design of Fuzzy C-Means Clustering based neural networks for emotion classification. IFSA/NAFIPS 2013: 413-417 - 2012
- [j17]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): 4-35 (2012) - [c16]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: 453-457 - [c15]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: 528-531 - [c14]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: 277-282 - [c13]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: 283-288 - [c12]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: 20-25 - 2011
- [j16]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): 54-77 (2011) - [c11]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: 319-324 - 2010
- [j15]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): 27-46 (2010) - [c10]Myunghee Son, Byoung-Jun Park:
Proactive Stop and Start Technology for High Gas Mileage of the Used Car. VTC Fall 2010: 1-5
2000 – 2009
- 2009
- [j14]Witold Pedrycz, Byoung-Jun Park, Nicolino J. Pizzi:
Identifying core sets of discriminatory features using particle swarm optimization. Expert Syst. Appl. 36(3): 4610-4616 (2009) - [j13]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): 1310-1323 (2009) - 2008
- [j12]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): 245-274 (2008) - [j11]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): 912-923 (2008) - [j10]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): 3720-3735 (2008) - 2007
- [j9]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): 132-137 (2007) - 2006
- [j8]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neurons as neurofuzzy processing units. Neural Comput. Appl. 15(3-4): 310-327 (2006) - [j7]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. 53-I(3): 688-703 (2006) - [c9]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: 786-791 - 2005
- [c8]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: 798-803 - [c7]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: 1100-1103 - [c6]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. ICCSA (4) 2005: 887-895 - [c5]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: 404-409 - [c4]Byoung-Jun Park, Sung-Kwun Oh:
Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation. ISNN (1) 2005: 422-427 - [c3]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. MDAI 2005: 338-345 - 2004
- [j6]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Self-organizing neurofuzzy networks in modeling software data. Fuzzy Sets Syst. 145(1): 165-181 (2004) - [j5]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Relation-based neurofuzzy networks with evolutionary data granulation. Math. Comput. Model. 40(7-8): 891-921 (2004) - [c2]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: 188-195 - [c1]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: 174-179 - 2003
- [j4]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Polynomial neural networks architecture: analysis and design. Comput. Electr. Eng. 29(6): 703-725 (2003) - [j3]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): 271-277 (2003) - 2002
- [j2]Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park:
Hybrid identification of fuzzy rule-based models. Int. J. Intell. Syst. 17(1): 77-103 (2002) - [j1]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh:
Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling. IEEE Trans. Fuzzy Syst. 10(5): 607-621 (2002)
Coauthor Index
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