ScholarWorks@Hanyang University: Choi, Yong Suk

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Choi, Yong Suk (최용석)

COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)

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Tel 02-2220-1139
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Game based learning:4||computer vision:3||elearning:3||deep learning:3||Cooperative coevolution (CC):2||object detection:2||transfer learning:2||transformer:2||딥러닝:2||Computerized adaptive testing:2||ontology:2||Recommendation:2||Bayesian network:2||Largescale global optimization (LSGO):2||Deep learning:2||feature mapping layer:2||Boolean Function Simplification:2||Game Data:2||relation extraction:2||SCORM Contents:2||zeroshot recognition:2||Intelligent Tutoring:2||Collaborative recommendation:2||Profile:2||EM algorithm:1||EM 알고리즘:1||Emotion:1||Firstorder optimization:1||Gradient descent:1||Hierarchical clustering:1||Humanrobot interaction:1||Image classification:1||Image superresolution:1||Incremental iteration method:1||Information extraction:1||Information retrieval:1||Intelligent tutoring:1||Knowledge framework:1||Knowledge graph:1||Language Model:1||Learning effectiveness:1||Machine Learning:1||Machine learning:1||Metadata:1||Multiarmed bandit (MAB):1||Na?ve Bayes Classifier:1||Named Entity Tagging:1||Neural Net:1||Ontology:1||Ontologybased knowledge processing:1||Optimization:1||PageRank calculation:1||Parameterinsensitive:1||Parsed text corpora:1||Partofspeech:1||Power iteration method:1||Q&:1||Question and Answer Archive:1||Recommendation system:1||Recommender system:1||Recurrent Neural Networks:1||Retrieval Model:1||SCORM:1||SCORM 2004:1||SCORM 콘텐츠:1||SNS (Social Networking Service):1||Semantic embedding:1||Semantic web:1||Similaritybased calibration:1||Simple linear regression analysis:1||Social robot service:1||SpatialTemporal information:1||Sports casting:1||TPE pattern matching algorithm:1||Temporal trend:1||Text mining:1||Translation Model:1||Tree pattern:1||Tree pattern expression(TPE):1||Tree pattern matching:1||Tree pattern querying:1||Tree patternmatching algorithm:1||Triplet:1||Triplet 확장:1||Tuple extraction:1||Variable decomposition:1||Variable interdependency identification:1||ViT:1||Visualization:1||Weight tying:1||Weighted Combination:1||Zeroshot learning:1||adaptive and collaborative recommendation:1||biotext mining:1||caregiver:1||caregiver for person with dementia:1||collaborative filtering:1||collaborative recommendation system:1||compositional intelligence:1||contentmetadata:1||convolutional neural networks:1||cooperation:1||data association:1||deeplearning:1||dependency tree:1||distanceweighting:1||e러닝:1||e러닝 기술 표준:1||e러닝 콘텐츠:1||edge detection:1||encoderdecoder:1||endtoend learning:1||entityaware attention:1||gaze estimation:1||gaze following:1||googleVis:1||gradient methods:1||graph convolutional networks:1||human detection:1||image captioning:1||image classification:1||image restoration:1||image segmentation:1||imagetoimage translation:1||information extraction:1||item TFIDF data:1||itemlink data:1||itemmetadata:1||knowledge graph:1||knowledge management:1||knowledge model:1||latent entity typing:1||long shortterm memory models:1||lurking behavior:1||motion recognition:1||multiple object tracking:1||named entity tagging:1||natural language processing:1||network structure:1||neural machine translation:1||online object tracking:1||optimization methods:1||participation disparity:1||positional encoding:1||pretraining method:1||protein interaction:1||question and answering system:1||question type classification:1||recommendation system:1||salient region detections:1||selfattention mechanism:1||semantic embedding:1||semantic embeddings:1||semantic reasoning:1||similarity measures:1||skeletonbased action recognition:1||social media:1||sports commentary:1||tree pattern:1||tree pattern expression:1||triplet:1||triplet extension:1||universal transformer:1||usercontent rating:1||video captioning:1||video super resolution:1||visual attention:1||visual embedding:1||visualization:1||windowbased selfattention:1||zeroshot learning:1||감성:1||개인화 로봇 서비스:1||게임 기반 학습:1||게임 데이터 요소Applying Game Data Elements to SCORM Data ModelYong Suk Choi†:1||게임기반학습:1||기계학습:1||뇌파:1||다층 퍼셉트론 신경망(Multi Layer Perceptron):1||대화 의도 분류:1||로봇 온톨로지:1||물체 검출:1||베이지안 네트워크:1||부울 함수 간략화:1||비디오 캡셔닝:1||비전 트랜스포머:1||빅데이터(Big Data):1||사람 검출:1||샘플 콘텐츠:1||스포츠 캐스팅:1||시각화(Visualization):1||시각화(visualization):1||시퀀싱 템플릿:1||신경망:1||아이템 TFIDF 정보:1||아이템 링크 정보:1||아이템 메타데이터:1||양방향 연상:1||역전파 알고리즘:1||역전파 학습(Backpropagation Learning):1||온톨로지:1||유니버셜 트랜스포머:1||적응적 협력 추천:1||지능형 로봇 지식:1||지능형 튜토링:1||지식 서비스:1||질의문 타입 분류:1||질의응답 시스템:1||추천:1||추천 시스템:1||컴퓨터 적응적 평가:1||콘텐츠 시퀀싱:1||클래스 불균형 문제:1||트리 패턴 표현식:1||프로파일:1||학습 콘텐츠:1||행동 인식:1||A:1||협력 추천 시스템:1||Adam optimization:1||Adaptive learning guide:1||Adaptive recommendation:1||Automatic commentary generation:1||BERT:1||Backpropagation Algorithm:1||Bayesian Network:1||Bidirectional Association:1||Boolean function minimization:1||Boolean function simplification:1||Brain Wave:1||Brain wave:1||Component:1||Computational resource allocation (CRA):1||Computerized Adaptive Testing:1||Content metadatam combined approach:1||Content type preference:1||Convolution neural networks:1||Corpus search tool:1||Data partitioning:1||Divideandconquer strategy:1||Dynamic programming:1||EM Algorithm:1||

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