Kangil Kim

Orcid: 0000-0003-3220-6401

According to our database1, Kangil Kim authored at least 35 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening.
CoRR, 2024

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder.
CoRR, 2024

2023
Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Feature structure distillation with Centered Kernel Alignment in BERT transferring.
Expert Syst. Appl., December, 2023

Revisiting Softmax Masking for Stability in Continual Learning.
CoRR, 2023

Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning.
CoRR, 2023

2022
Feature Structure Distillation for BERT Transferring.
CoRR, 2022

Spherization Layer: Representation Using Only Angles.
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

Learning from Matured Dumb Teacher for Fine Generalization.
CoRR, 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
Verbosity normalized pseudo-relevance feedback in information retrieval.
Inf. Process. Manag., 2018

Conflict Relaxation of Activation-Based Regularization for Neural Network.
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

Divergence-based fine pruning of phrase-based statistical translation model.
Comput. Speech Lang., 2017

Concept Equalization to Guide Correct Training of Neural Machine Translation.
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
Recursion-Based Biases in Stochastic Grammar Model Genetic Programming.
IEEE Trans. Evol. Comput., 2016

2014
Probabilistic model building in genetic programming: a critical review.
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

Analysing the Effects of Diverse Operators in a Genetic Programming System.
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
Investigating vesicular selection: A selection operator in in vitro evolution.
Appl. Soft Comput., 2011

Structural difficulty in estimation of distribution genetic programming.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Operator Self-adaptation in Genetic Programming.
Proceedings of the Genetic Programming - 14th European Conference, 2011

2010
An XML Format for Sharing Evolutionary Algorithm Output and Analysis.
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


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