ScholarWorks@Hanyang University ERICA Campus: Kim, Young hoon

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Kim, Young hoon (김영훈)

ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)

Research Area: 데이터베이스, 빅데이터 처리, 데이터 마이닝

Tel 031-400-5664
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IEEE 1149.1:4||MapReduce:3||deep learning:3||Twitter:3||Collaborative filtering:3||Recommendation system:2||Crowdsourcing:2||SoC:2||Multiple Clocks:2||CT image segmentation:2||TRPCI:2||TRUSB:2||Learning to rank:2||P1500:2||CT segmentation:2||test bus controller:2||Probabilistic model:2||Interconnect Delay Fault:2||Expectationmaximization:1||Facebook:1||Finding path for maintenance service:1||Graph integration:1||Hadoop:1||Heartbeat classification:1||Heartbeat morphology features:1||I.2.6:1||Inference algorithms:1||Inverted qgram index:1||LDA:1||LLM:1||Matrix factorization:1||Media:1||Medical image segmentation:1||Missing data imputation:1||Modeling geotagged messages:1||Neural Network Quantization:1||Pairwise comparison:1||Parallel algorithm:1||Probabilistic latent semantic indexing:1||Probabilistic logic:1||Query processing:1||SNS message collection:1||Social network:1||Solar power forecasting:1||Substring matching:1||Tagging:1||Topk approximate substring matching:1||Topic modeling:1||Topical trajectory pattern:1||Variablelength gram:1||Windows CE:1||a bottomup algorithm:1||adversarial attack:1||adversarial attacks:1||adversarial detection:1||appearance flow:1||autoencoder:1||clothing:1||collection by humancomputer feedback:1||computed tomography (CT) segmentation:1||convolutional neural network:1||convolutional neural networks:1||correlation:1||crosstalk:1||crosstalk induced jitter:1||data augmentation:1||deep learning security:1||deep learningbased segmentation:1||deep neural networks:1||divide and conquer:1||electroencephalogram:1||electroencephalogram (EEG):1||electroencephalography:1||feedbacksupervised:1||finding kpoint embedding minimum box:1||generated adversarial network (GAN):1||greedy algorithm:1||hashtag:1||heuristic algorithm:1||image classification:1||indexing method:1||information diffusion:1||insufficient data:1||interactive medical segmentation:1||item nonresponse:1||iterative segmentation:1||kNN joins:1||kernel density:1||k데이터포인트 포함 최소 사각형 탐색:1||large language models:1||layering:1||longshort term memory:1||medical image segmentation:1||message word weight:1||model interpretation:1||multilevel transformation:1||multiple latent rankings:1||outliers:1||overfit:1||perturbations:1||posttraining quantization:1||probabilistic modeling:1||prompt engineering:1||qGram index:1||quantization:1||realistic adversarial samples:1||reconstruction noise:1||robustness training:1||selfattention head:1||semantic face transformation:1||semiautomated labeling tool:1||shortterm Fourier transform:1||singleended signalling:1||social graphs:1||spatial data processing:1||supervised learning:1||survey data:1||text generator:1||time complexity analysis:1||transformer:1||virtual tryon:1||voltagemode driver:1||강건성 훈련:1||공간데이터 프로세싱:1||과학습문제:1||교란:1||데이터부족문제:1||디바이스 드라이버:1||딥러닝:1||메시지 단어 가중치:1||분할정복알고리즘:1||사람컴퓨터 피드백을 통한 분류:1||상향식 탐색:1||소셜 그래프:1||소셜 네트워크 메시지 수집:1||시간복잡도분석:1||시맨틱 얼굴 변형:1||심층신경망:1||유지보수 출장 경로 탐색:1||이미지분류:1||임베디드 시스템:1||지상파 DMB:1||최대 밀도 부분 그래프 탐색:1||탐욕적 알고리즘:1||피드백지도:1||Active learning:1||휴리스틱 알고리즘:1||Adaptive feature extraction:1||BERT:1||CMOS:1||Cascaded classifiers:1||Clustering algorithm:1||Computer Science  Databases:1||Convolutional neural network:1||DRAM:1||Database management:1||Deep learning:1||Densest subgraph detection:1||Densitybased clustering:1||Digg article recommendation:1||ECG:1||EM algorithm:1||Edit distance:1||Entity resolution:1||

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