Kangil Kim
Orcid: 0000-0003-3220-6401
According to our database1,
Kangil Kim
authored at least 38 papers
between 2010 and 2024.
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Bibliography
2024
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder.
CoRR, 2024
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Expert Syst. Appl., December, 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning.
CoRR, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks.
Sensors, 2021
What and When to Look?: Temporal Span Proposal Network for Video Visual Relation Detection.
CoRR, 2021
2020
A deep neural network for classification of melt-pool images in metal additive manufacturing.
J. Intell. Manuf., 2020
A Convolutional Neural Network for Prediction of Laser Power Using Melt-Pool Images in Laser Powder Bed Fusion.
IEEE Access, 2020
Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Transition-Based Korean Dependency Parsing Using Hybrid Word Representations of Syllables and Morphemes with LSTMs.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019
Improving LSTM CRFs using character-based compositions for Korean named entity recognition.
Comput. Speech Lang., 2019
2018
Inf. Process. Manag., 2018
IEEE Access, 2018
Stable Forecasting of Environmental Time Series via Long Short Term Memory Recurrent Neural Network.
IEEE Access, 2018
2017
Center-shared sliding ensemble of neural networks for syntax analysis of natural language.
Expert Syst. Appl., 2017
Comput. Speech Lang., 2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
Time-Sensitive Adaptation of Regularization Strength of Recurrent Neural Networks for Accurate Learning.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
2016
IEEE Trans. Evol. Comput., 2016
2014
Genet. Program. Evolvable Mach., 2014
2013
Stochastic Diversity Loss and Scalability in Estimation of Distribution Genetic Programming.
IEEE Trans. Evol. Comput., 2013
Cutting evaluation costs: An investigation into early termination in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Erratum to 'Investigating vesicular selection: A selection operator in in-vitro evolution' [Applied Soft Computing 11/8 (2012) [5528-5550].
Appl. Soft Comput., 2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Implicit bias and recursive grammar structures in estimation of distribution genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Appl. Soft Comput., 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Genetic Programming - 14th European Conference, 2011
2010
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010
Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming Using Prototype Trees.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010