저자의 연구 키워드

저자의 연구 키워드

#3D LiDAR

#디오라마

#디펜스 게임

#머신러닝

#면책 규정

#모션캡처

#모코피

#미니어처 디오라마

#민속무용

#성공예측

#스케일업

#스타트업

#인공지능

#저작권

#저작권법 개정안

#적대적 생성신경망

#전통무용

#전통춤

#증강현실

#코로나바이러스감염증-19

#텍스트·데이터 마이닝

#Amendment to the copyright act

#Artificial intelligence

#Augmented Reality

#auto labeling

#BoolQ(Boolean Question)

#chatgpt

#Classical Dance

#classification

#collaborative filtering

#conversational recommendation

#Copyright

#Covid-19

#cross-domain

#Crunchbase

#data augnmentation

#deep learning

#Defense Game

#Diorama

#dog identification

#Exemption provisions

#feedback loops

#few-shot learning

#Filter Bubble

#Folk Dance

#Generative Adversarial Networks

#individual identification

#large language model

#LLM

#LLM(Large Language Model)

#LLMs

#Machine learning

#matrix factorization

#meta-learning

#Million Musical Tweets Dataset

#Miniature Diorama

#Mocopi

#Motion Capture

#moving object segmentation

#music analysis

#music recommendation

#Music Recommendation System

#Personalized Recommendation

#plane detection

#popularity bias

#Popularity Model

#Popularity-based Recommendation

#prediction

#projection distance analysis

#Prompt Engineering

#prompt enigneering

#QA(Question Answering)

#recommender system

#Response Consistency and Reliability

#review data

#Scale-up

#sentence-bert

#Serendipity

#serious game

#Short-term Local Trend

#SpikeDecay Model

#Start-up

#Success prediction

#Text･data mining

#time series prediction

#Traditional Dance

#Unexpectedness