Byoung-Jun Park
According to our database1,
Byoung-Jun Park
authored at least 49 papers
between 2002 and 2023.
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Bibliography
2023
Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories.
CoRR, 2023
2017
Implementation of model-based development tool and run-time engine for digital cockpit system.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017
2016
Proceedings of the International Conference on Information and Communication Technology Convergence, 2016
Proceedings of the 6th International Conference on IT Convergence and Security, 2016
2015
Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology, 2015
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015
The effects of augmented-reality head-up display system on the perception of precautionary situation.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015
2014
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization.
Knowl. Inf. Syst., 2014
Relationship between Affective Dimensions and Physiological Responses Induced by Emotional Stimuli - Base on Affective Dimensions: Arousal, Valence, Intensity and Approach.
Proceedings of the PhyCS 2014, 2014
A Study on Autonomic Nervous System Responses and Feauture Selection for Emotion Recognition - Emotion Recognition using Machine Learning Algorithms.
Proceedings of the BIOSIGNALS 2014, 2014
Correlation between Psychological and Physiological Responses during Fear - Relationship to Perceived Intensity of Fear.
Proceedings of the BIOSIGNALS 2014, 2014
2013
The design of polynomial function-based neural network predictors for detection of software defects.
Inf. Sci., 2013
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks.
Neurocomputing, 2013
The design of Fuzzy C-Means Clustering based neural networks for emotion classification.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
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., 2012
Design of context-FCM based RBF neural networks with the aid of data information granulation.
Proceedings of the Research in Applied Computation Symposium, 2012
Seven emotion recognition by means of particle swarm optimization on physiological signals: Seven emotion recognition.
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012
Emotion classification based on physiological signals induced by negative emotions: Discriminantion of negative emotions by machine learning algorithm.
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012
Three Differential Emotion Classification by Machine Learning Algorithms using Physiological Signals - Discriminantion of Emotions by Machine Learning Algorithms.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012
Emotion Classification based on Physiological Responses Induced by Negative Emotions - Discrimination of Negative Emotions by Machine Learning Algorithms.
Proceedings of the BIOSIGNALS 2012, 2012
2011
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization.
Fuzzy Sets Syst., 2011
A design of dynamically simultaneous search GA-based fuzzy neural networks: comparative analysis of FS and FR-based rules.
Proceedings of the Research in Applied Computation Symposium, 2011
2010
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification.
Appl. Intell., 2010
Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010
2009
A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme.
IEEE Trans. Fuzzy Syst., 2009
Expert Syst. Appl., 2009
2008
The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition.
Pattern Recognit., 2008
An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering.
Inf. Softw. Technol., 2008
Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008
2007
Hybrid Fuzzy Neural Networks by Means of Information Granulation and Genetic Optimization and Its Application to Software Process.
Int. J. Fuzzy Log. Intell. Syst., 2007
2006
Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005
Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation.
Proceedings of the Computational Science and Its Applications, 2005
Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization.
Proceedings of the Computational Science, 2005
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons.
Proceedings of the Computational Science, 2005
2004
Math. Comput. Model., 2004
Fuzzy Sets Syst., 2004
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms.
Proceedings of the Advances in Neural Networks, 2004
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design.
Proceedings of the Computational Science, 2004
2003
IEEE Trans. Syst. Man Cybern. Part A, 2003
Comput. Electr. Eng., 2003
2002
IEEE Trans. Fuzzy Syst., 2002