ScholarWorks@Hanyang University: Kim, Young min

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Kim, Young min (김영민)

서울 산업융합학부

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Tel 02-2220-2537
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Machine Learning:3||Machine learning:3||BERT:3||CCTV:3||기계학습:3||Patent:3||Convolutional Neural Network:2||Convolutional neural networks:2||Topic Modeling:2||MMPOSE:2||natural language processing:2||SHAP:2||Artistic styles:2||Classification:2||Korean:2||YOLOv5:2||Datasets:1||Deep learning:1||Deep neural networks:1||Delay:1||Diagnosis text:1||Dialogue system:1||Digital Transformation:1||Document similarity:1||Domain Dataset:1||Efficiency:1||EnergyEfficient Machining:1||Energyefficient machining:1||Ensemble Algorithms:1||Evolutionary clustering:1||Fatigue:1||Feature importa:1||Feature visualization:1||Finite element method:1||Foldable display:1||Foldable displays:1||Gender bias:1||Healthcare advice:1||IPR&D:1||Intent detection:1||Keywords: Generative Artificial Intelligence:1||Large Language Model:1||Latent Dirichlet Allocation:1||League of Legends:1||Life Insurance:1||Machining Power:1||Machining power:1||Matchmaking:1||Medical Treatment:1||Medical entity recognition:1||Medical information extraction:1||Mining:1||NBA Playoffs analysis:1||NLP:1||Network:1||Object detection:1||Organic Light Emitting Diode:1||Organic light emitting diode:1||PATSTAT:1||Patent Analysis:1||Patent lifespan:1||Patent renewal:1||Patent value:1||Patient Departure:1||Pretrained Language Model:1||Predictive Analytics:1||Predictive analytics:1||R&D Process:1||Recommendation system:1||Research Paper:1||Research papers:1||Reservation Cancellation:1||SBERT:1||SBERT(Sentence Bidirectional Encoder Representations from Transformers):1||Siloxane coating:1||Smart Logistics:1||StarCraft:1||Statistical analysis:1||Stereotypes:1||Subscription Economy:1||Subscription Intention:1||Sustainable Manufacturing:1||Sustainable manufacturing:1||Technology Acceptance Model:1||Training set:1||Transfer Learning:1||Transfer learning:1||Twopoint bending test:1||Weibull distribution:1||WinoBias:1||Word embeddings:1||application:1||artificial intelligence:1||background subtraction:1||bidirectional encoder representations from transformers:1||chatbot:1||contact center:1||conversational agent:1||convolutional neural network:1||cyberphysical production systems:1||generative pretrained transformer:1||guidelines for labeling:1||health care:1||health care application:1||holonic manufacturing systems:1||jaywalking intention:1||large language model:1||machine learning:1||medical advice:1||medical specialty prediction:1||mixture model:1||object detection:1||patent analysis:1||pedestrian viewpoint classification:1||predictive analytics:1||quality of care:1||query intent detection:1||selflearning factory:1||taskoriented dialogue system:1||temporal analysis.:1||transfer learning:1||객체 검출:1||과업 지향 대화 시스템:1||구독경제:1||구독의도:1||기술수용모델:1||네트워크:1||논문:1||데이터:1||디지털 전환:1||딥러닝:1||레이블링 가이드라인:1||리그오브레전드:1||매치메이킹:1||무단횡단 의도:1||문서유사도:1||미국 프로농구 플레이오프 분석:1||배경차분:1||보행자 시점 분류:1||분류:1||생명보험:1||샤플리:1||스타크래프트:1||어포던스:1||의료 조언:1||인공지능:1||자료포락분석:1||주제어 (keywords): 생성형 AI:1||질문 의도 인식:1||추천시스템:1||토픽 모델링:1||통계적 분석:1||특성 중요도:1||특허:1||특허가치:1||특허갱신:1||특허수명:1||.:1||효율성:1||AI:1||AI technology:1||Affordance:1||Artificial Intelligence:1||Artificial Intelligence(AI):1||Background subtraction:1||CatBoost:1||ChatGPT:1||Clinical entity recognition:1||Comic classification:1||Comics:1||Comics classification:1||Composite materials:1||DEA:1||Data:1||

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