ScholarWorks@Korea University: Kang, Pil sung

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Kang, Pil sung (강필성)

공과대학 (School of Industrial and Management Engineering)

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Tel
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ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Keystroke dynamics:4||Data models:4||Natural language processing:3||Virtual metrology:3||Training:3||Machine learning:3||User authentication:3||natural language processing:2||Sentence embedding:2||Paraphrase:2||TFIDF:2||Convolutional Neural Network:2||Sentiment analysis:2||Feature extraction:2||Free text:2||Machine Learning:2||Recurrent neural network:2||machine learning:2||Novelty detection:2||Facebook:2||Support vector machines:2||Semisupervised learning:2||Text Mining:2||Regression:2||Word Embedding:2||Semiconductor manufacturing:2||Transfer Learning:2||Anomaly detection:2||latent dirichlet allocation:2||Task analysis:2||LSTM:2||Image Processing:2||recurrent neural network:2||Convolutional neural network:2||Ensemble:2||Elastic Net:2||word embedding:2||Heterogeneous data fusion:1||Realtime significant wave height estimation:1||building electric energy consumption forecasting:1||Generative Adversarial Network(GAN):1||behavioral model:1||Doc2vec:1||bad wafer classification:1||neuroimaging:1||Weakly supervised learning:1||Locally linear ensemble:1||Ensemble learning:1||Deep Learning:1||Reliability estimation:1||Private attribute:1||Multiclass classification:1||Cramervon Mises criterion:1||Data selection:1||Partner:1||genetic algorithm (GA):1||Quality control:1||Intrusion detection:1||Neural networks:1||Lifelong language learning:1||TextMining:1||Clustering algorithms:1||Tacotron 2:1||HydraNet:1||Explainable anomaly detection:1||Energy Consumption:1||transfer learning:1||Sentiment classification:1||character embedding:1||Convolutional LSTM:1||Convolution neural network:1||Document classification:1||wafer bin map (WBM):1||Adolescent:1||depression:1||Class label:1||CDN:1||Prophet:1||Latent Dirichlet Allocation (LDA):1||Local expert:1||Data envelopment analysis:1||Word Network Analysis:1||Document Classification:1||network analysis:1||Sports player evaluation:1||Latent Dirichlet Allocation:1||Random Forest:1||Age:1||Marital/relationship status:1||Boxoffice forecasting:1||Artificial neural network:1||Ridge Regression:1||R and A measure:1||Type 2 diabetes:1||Forecast combination:1||Marketreplacement cost:1||Text mining:1||외국어영역:1||토픽 모델링:1||Semiconductor:1||Machine learning algorithms:1||Endpoint Security:1||Recommendation System:1||Dirichlet process:1||Bridge:1||Interpolation:1||Semantics:1||Transformers:1||Isolation forest:1||Timeseries Anomaly Detection:1||Wav2vec 2.0:1||Text summarization:1||integer linear programming:1||random forest:1||Significant Wave Height:1||Image Association:1||Siamese Network:1||insider threat detection:1||Deep learning:1||document embedding:1||Class activation mapping:1||Semiconductor Manufacturing:1||Wafer Map:1||Mobile Phone Reviews:1||Character Embedding:1||topic modeling:1||Spam Filtering:1||Motion pictures:1||Data generation:1||Forward Selection:1||Genetic Algorithm:1||ARS service recommend system:1||Stacking:1||Genetic algorithm:1||CRM:1||novelty detection:1||advanced persistent threat:1||Gradient Boosting Machine:1||Scaled FScore:1||Convolutional autoencoder:1||Transition matrix:1||TexttoSpeech:1||mobile user authentication:1||sentence representation vector:1||convolutional neural network:1||Text2image:1||Cotraining:1||Word2Vec:1||convolution neural network:1||representation learning:1||Technology and innovation management:1||Linear model:1||MultiLabel Weight Extraction:1||Naïve bayes:1||internet of things:1||text mining:1||Tour Evaluation:1||Movie reviews:1||Keystroke Dynamics:1||PRM:1||AHP:1||대학수학능력 난이도:1||Reliability level:1||cyber security:1||ADFALD:1||generative replay:1||Predictive Modeling:1||Classification:1||Wave Estimation:1||Item Embedding:1||Clustering methods:1||deep clustering:1||Text Summarization:1||KoBART:1||Back Translation:1||Speech Emotion Recognition:1||Voice of customers:1||support vector machine:1||Logistic Regression:1||Outlier Detection:1||call center:1||Heterogeneous ensemble:1||Drug failure prediction:1||Social network service:1||Market approach:1||English Test:1||toll fraud detection:1||Process monitoring:1||Multivariate control charts:1||system log embedding:1||catastrophic forgetting:1||eXplainable AI:1||Logs of System Event:1||User Behavior Model:1||Convolutional Long ShortTerm Memory:1||Transition Probability:1||Attention Mechanism:1||Distillation:1||Multilingual BERT:1||SQLova:1||MultiEmotion Classification:1||Local outlier factor:1||shortterm load forecasting:1||coldstart problem:1||deep learning:1||VGGNet:1||Bin2Vec:1||diagnosis:1||Popularity Prediction:1||Early Warning Model:1||Unstructured Text Data:1||Useradaptive features:1||Deep neural network:1||Sentence polarity:1||Adaptive update:1||Gender:1||Independent subspace model:1||Late payment prediction:1||Backward Elimination:1||Long and free text strings:1||Box office earning forecast:1||Indirect Channel:1||Cost approach:1||College Ability Scholastic Test(CSAT) Difficulties:1||Decision Tree:1||VoIP service:1||Voting Similarity:1||Network Analysis:1||System anomaly detection:1||Knowledge discovery:1||Threat Detection:1||Semiconductor device modeling:1||Visualization:1||Waveglow:1||TexttoSQL:1||Shapley additive explanations:1||behavioral biometrics:1||temporal convolution neural network:1||Adaptive Pretraining:1||Natural Language Processing:1||MultiModal Emotion Recognition:1||Mobile user authentication:1||Oceanwave image processing:1||3D Convolution:1||anomaly detection:1||LDA:1||Word localization:1||Linear programming:1||EDS test:1||Unsupervised Learning:1||Decision tree:1||Support vector machine:1||Stepwise Selection:1||Lasso:1||User Authentication:1||pearson correlation coefficient:1||Technology valuation:1||Multiple Linear Regression:1||call detail records (CDRs):1||Novelty score:1||Voting Activity Analysis:1||Bill Contentiousness:1||a stream of text data:1||N:1||pseudolabels:1||selfsupervised learning:1||Image reconstruction:1||Sentence semantics:1||Extrapolation:1||Predictive maintenance:1||Manufacturing system:1||GAN:1||Freely typed text:1||Semantic coherence:1||Keyword network:1||Convolutional long shortterm memory:1||multivariate random forests:1||email network:1||Recurrent inception convolution neural network:1||Load forecasting:1||distributed representations:1||Content Caching:1||Research topic:1||Topic model:1||Clustering validity:1||Internal measure:1||Baseball:1||Sentiment Analysis:1||Instagram:1||Hash Tag:1||Support vector regression:1||Probabilistic local reconstruction:1||Hybrid approach:1||Free Text:1||association rule:1||recommend system:1||Oneclass classification:1||Metalearning:1||Various input devices:1||다중선형회귀분석:1||의사결정나무:1||Topic Modeling:1||ensemble:1||Data mining:1||MultiDimensional Scaling (MDS):1||Measurement:1||One Source MultiUse:1||tSNE:1||Sequential Recommendation:1||Cred TFIDF:1||wafer maps:1||WikiSQL:1||sequence modeling:1||

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