ScholarWorks@Dongguk University: Kim, Jun tae

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Kim, Jun tae (김준태)

College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)

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Tel 02-2260-3712
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convolutional neural networks:4||BERT:4||JESS:3||딥러닝:3||machine learning:3||data augmentation:3||Deep Learning:3||metalearning:3||Mixup:3||deep learning:3||메타러닝:2||transfer learning:2||Principal Component Analysis:2||Finite Elements Method:2||fewshot learning:2||Etraining:2||Network Intrusion Detection System:2||Response Surface Method:2||Deep learning:2||Linear Induction Motor:2||plasticity:2||Car maintenance:2||Logic simulation:2||Centrality measures:2||Organizational learning:2||social network service:2||Maglev Levitation System:2||PCA:2||Informal communication network topology:2||Fatigue:1||Feature extraction:1||GAN:1||Generative adversarial network:1||Grid:1||HRV:1||Hebbian learning:1||Hebbian plasticity:1||Heterogeneous Data Embedding:1||Heterogeneous Data Integration:1||Hierarchical Knowledge:1||Hybrid Quantizer:1||Image Text Embedding:1||Imbalanced big data analysis:1||Intrusion Detection System:1||Kmeans clustering:1||Knowledge Distillation:1||Knowledge Transfer:1||Knowledge management system:1||Knowledge sharing:1||Korean text:1||Korean tourist spot:1||LINC:1||LargeScale Data Stream:1||Legal Service:1||Legal service:1||LloydMax quantizer:1||Local Outlier Factor:1||Machine Learning:1||Machine learning:1||Meta learning:1||Micro Cluster:1||Multimodal sentiment analysis:1||NPC:1||Network Intrusion Detection:1||Network Port Scan:1||Neural Networks Compression:1||Online:1||Online Learning:1||Optical, image and video signal processing:1||Organizational Performance:1||Oversampling:1||PPG:1||Path Finding:1||Performance Evaluation:1||Planning:1||Principle Component Analysis:1||RBM(Restricted Boltzmann Machine):1||Reinforcement Learning:1||Risk Index:1||SEM:1||Sales forecasting:1||Selforganizing map:1||Sentiment analysis:1||Slow Port Scan:1||Smart Tourism:1||Social network:1||Stacked Denoising Autoencoder:1||Stealth Port Scan:1||Structural Equation Model:1||Tour Planning:1||Transfer learning:1||Transferlearning:1||Transformation:1||Trust:1||Unsupervised neural network:1||Vehicle Detection:1||Visibility graph:1||Visual Semantic Embedding:1||Visualization:1||Weight Initialization:1||Weight Update:1||Weights Quantization:1||Weights initialization:1||Xray 영상 분류:1||Zeroshot Learning:1||adversarial attack:1||adversarial attacks:1||adversarial defense:1||adversarial robustness:1||adversarial training:1||agentbased modeling:1||asymmetric backpropagation:1||auxiliary conditional generative adversarial networks:1||big data:1||brain tumor:1||chest Xray classification:1||classification:1||complex network:1||concept drift:1||conditional generative adversarial network:1||confidence estimator:1||curriculum learning:1||cutout:1||dark channel prior:1||data fusion:1||decision tree:1||eigenvalue:1||eigenvector:1||faster RCNN:1||fewshot relation classification:1||generative models:1||graph neural networks:1||heterogeneous transfer learning:1||hierarchical semantic loss:1||human activity recognition:1||human skeleton data:1||image classification:1||immunization strategy:1||industryuniversity collaboration:1||industryuniversity cooperative education:1||intrusion detection:1||kernel density estimation:1||knowledge completion:1||magnetic resonance images:1||meta learning:1||metaaugmentation:1||metaoverfitting:1||mixup:1||multimodal learning:1||multimodal data:1||naive bayesian:1||natural language processing:1||natural language understanding:1||network structure:1||neuromodulation:1||online transformation:1||principle component analysis:1||regularization:1||scalefree network:1||security:1||selftraining:1||siamese network:1||spammer:1||spark MLlib:1||success factors:1||sustainablity:1||text to image generation:1||timeseries data:1||transformers:1||twitter:1||uncertainty quantification:1||vehicle detection:1||vision transformer:1||vision transformers:1||visualsemantic embedding:1||weakly supervised learning:1||weather classification:1||weights quantization:1||xray image classification:1||zeroshot crossmodal retrieval:1||zeroshot learning:1||가중치 갱신:1||가중치 초기화:1||결정 트리:1||그래프 신경망:1||기계학습:1||나이브 베이지안:1||네트워크 침입 탐지:1||논리 시뮬레이션:1||데이터 증강:1||데이터마이닝:1||머신러닝:1||메타 과적합:1||메타 데이터 증강:1||법률 서비스:1||소셜 네트워크 서비스:1||스패머:1||약지도 학습:1||이러닝:1||이트레이닝:1||자동차 정비:1||지식 완성:1||커리큘럼 학습:1||트위터:1||퓨샷 관계 분류:1||Acoustics:1||퓨샷러닝:1||Adaptive resonance theory:1||Agentbased modeling:1||Analytical models:1||Anomaly Detection:1||Big data mining:1||Centrality:1||Computer game:1||Computer vision and image processing techniques:1||Concept Drift:1||Confidence Estimation:1||ConvAE:1||Convolutional Neural Networks:1||Convolutional neural network:1||Cross Modal Retrieval:1||Crossmodal Retrieval:1||DCP:1||Data Mining:1||Data integration:1||Data mining:1||Data mining algorithms:1||Data models:1||Digital twin:1||Distributed recommendation:1||Drowsiness analysis:1||Elearning:1||Eigenvalue:1||Eigenvector:1||Faster RCNN:1||

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