ScholarWorks@Korea University: Kang, Jae woo

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Kang, Jae woo (강재우)

Graduate School (Department of Computer Science and Engineering)

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Tel 02-3290-4840
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Deep learning:4||data mining:3||Artificial intelligence:2||natural language processing:2||crowdsourcing:2||Gene regulatory network inference:2||Bioinformatics:2||text mining:2||bioinformatics:2||cancer:2||machine learning:2||deep learning:2||Training:2||neural networks:2||stock markets:2||Text mining:2||Deeplearning:2||Task analysis:2||proteogenomics:1||Drugs:1||Link prediction:1||antidepressant response prediction:1||Context specific regulatory module:1||Ensemble of regression trees:1||Facial paralysis evaluation framework:1||normalization:1||Ensemble:1||Gene regulatory networks:1||Time series data:1||Boosted tree:1||Synergy prediction:1||Mutation:1||biomedical text comprehension:1||Knockout mouse:1||Iris segmentation:1||Key point detection:1||Hybrid classifier:1||Technology forecasting:1||Bibliometrics:1||Historiography:1||Promising technology:1||기계학습:1||emotion analysis:1||gene expression:1||apriori algorithm:1||Algorithm:1||homologs:1||Human IQ test:1||Neural networks:1||Breast:1||set representation learning:1||Cooking knowledge:1||& nbsp:1||Graph neural networks:1||Indexes:1||intraclass connection:1||triadic closure:1||Breast cancer subtype:1||Facial paralysis objective evaluation:1||text analysis:1||Convolutional neural network:1||Lung cancer:1||NLP:1||machine comprehension:1||machine comprehension dataset:1||Pathway prioritization:1||Facial image analysis:1||Technological product innovation:1||Product life cycle (PLC):1||KullbackLeibler divergence:1||Chronic adult diseases:1||Evaluation:1||Test toolkit:1||meta analysis:1||port scanning:1||hidden Markov model:1||Online SSA:1||EEG:1||Stream data mining:1||Multivariable stream:1||R:1||attribute dependency:1||database:1||rectal cancer:1||MRI:1||Transformers:1||Sugar:1||Micromechanical devices:1||pairwise graph interaction:1||transfer learning:1||multilevel information:1||genomics:1||protein regulation:1||Optimization:1||Traditional Chinese Medicine:1||data acquisition:1||data preprocessing:1||Mut2Vec:1||Distributed representation:1||Gene prioritization:1||Facial paralysis measurement:1||Mobile phone:1||stroke:1||mobile application:1||Collaborative filtering:1||영화장르분석:1||microarray:1||hotspots:1||botnet propagation:1||early detection:1||TFIDF:1||SNP:1||Database:1||Motifs:1||Empirical Bayes:1||likelihood:1||cube framework:1||TSP:1||genomes:1||clustering:1||paralogs:1||food ingredient recommendation:1||Bioinformatics (in engineering in medicine and biology):1||Ingredient quantity prediction:1||Symmetric matrices:1||Prediction methods:1||major depressive disorder:1||neural network:1||Neural network:1||Biomedical text mining:1||named entity recognition:1||Web service:1||Pointofinterest:1||POI imputation:1||Network analysis:1||Mutation embedding:1||in silico:1||Gene selection:1||Localized active contour:1||TripleNegative Breast Cancer:1||botnet spamming:1||Noise cancelling:1||BCI:1||Skycube:1||microarray data:1||intergene analysis:1||schema matching:1||orthologs:1||BLAST:1||proteins:1||survival prediction:1||food ingredient relations:1||recipe context learning:1||Surface morphology:1||Food computing:1||cryptocurrency:1||compoundprotein interaction:1||proteomics:1||Mechanisms of action:1||Gene expression signatures:1||Facial paralysis classification:1||data collection:1||Social network:1||Computational biology:1||Literature information:1||Pathway analysis:1||Time series:1||Web tool:1||Kinase dependency:1||risk factor:1||Secondorder Markov chains:1||Small and mediumsized enterprises (SMEs):1||botnet:1||감정분석:1||베이즈 확률모델:1||class association rule mining:1||Index:1||Data classification:1||Temporal relations:1||Markov chain Monte Carlo:1||secondorder correlation:1||graph matching:1||species:1||Pretrained language models:1||investment:1||graph edit distance:1||bipartite networks:1||Feature importance score:1||Connectivity map:1||NER:1||Salient point detection:1||data analysis:1||machine intelligence:1||decision rules:1||Lung nodule:1||Highthroughput screening:1||Markov model:1||Quantitative method:1||botnet evolution:1||movie genre analysis:1||Ocular artifacts:1||Multidimensional data structures:1||Microarray data:1||No replication:1||survival data:1||robustness:1||threshold:1||Food ingredient combination:1||COVID19:1||Representation learning:1||Food measurement:1||graph pooling:1||3D geometric information:1||Perturbation methods:1||patient representation:1||Single sample GSEA:1||Iris detection:1||knowledge discovery:1||multitype:1||Multivariate:1||Cancer:1||Combination therapy:1||Convolutional neural networks:1||BioNLP:1||UHealthcarebased CDSS:1||Stability:1||Coword analysis:1||Emerging technology:1||GWAS:1||Stream data modeling:1||Spatial reasoning:1||Predictive models:1||Dairy products:1||recipe recommendation:1||Biological system modeling:1||Benchmark testing:1||reinforcement learning:1||drugdrug interaction:1||Named entity recognition:1||Image classification:1||finance:1||social computing:1||Anomaly detection:1||Long short term memory:1||Time course:1||Information extraction:1||Precision medicine:1||Pathway:1||Data mining:1||health care:1||Reliability:1||Main path analysis:1||Knowledge arbitrage:1||bayes model:1||pathways:1||simple text classifiers:1||term frequency  inverse document frequency:1||Skyline:1||Multicriteria decision making:1||natural language processing (NLP):1||Analytical models:1||crossattention:1||

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