ScholarWorks@SUNGKYUNKWAN UNIVERSITY: CHEONG, YUN GYUNG

Detailed Information

CHEONG, YUN GYUNG (정윤경)

Computing and Informatics

Research Area

Tel
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

deep learning:4||text classification:3||Game:2||movie prediction:2||Storytelling game:2||Autoencoders:2||Planning:2||natural language processing:2||Event clustering:2||Event extraction:2||Event representation:2||Classification:2||Narrative Generation:2||contextual word embedding:2||IDS:2||Deep learning:2||AR:2||Interaction:2||Conflict:2||Causal Threats:2||Differential evolution:1||Differential evolution algorithm:1||Dimension reduction:1||Directional pedestrian counting:1||EmotionAnalysisinText:1||EmotionEmbeddingModel:1||EmotioninTextStory:1||Emotional event:1||Evolutionary algorithms:1||Faceemotionclassification:1||Feedforward neural network:1||Four keys to fun:1||GRU:1||Game development:1||Game graphics:1||Google Dialogftow:1||Greimas’s actantial model:1||Happiness modeling:1||Imbalanced Dataset:1||Inklewriter:1||Intelligent story generation:1||Interactive story variable focalization:1||Internal focalization:1||Intrusion Detection System:1||Intrusion detection system:1||IntrusionDetectionSystem:1||IoT:1||Kyoto2006+:1||Label refinery:1||Labeling:1||MLNIDS:1||Machine Learning:1||Masked Language Modeling:1||Metaphor:1||Mobile:1||Mobile application:1||Model design:1||Morals:1||Multimodal:1||NIDS:1||Narrative comprehension in games:1||Narrativeoriented gameplay:1||Neural network training:1||Numerical optimization:1||OppositionBased learning:1||PCA:1||Peer learning:1||Permission:1||Point of view:1||QA system:1||Semisupervised machine learning algorithm:1||Sentiment analysis of story event:1||Situation model:1||Stacked RNN:1||Story:1||Story Character Embedding:1||Story creation:1||Story cubes:1||Story variation:1||Storyboards:1||SupervisedMachineLearning:1||Time series:1||Unsupervised learning:1||Unsupervised learning Algorithms:1||analysis:1||automated story generation:1||chatbot:1||contrastive learning:1||controllable text generation:1||data mining:1||discourse planning:1||game data:1||latent variable:1||machine learning:1||movie ratings:1||narrative generation:1||natural language generation:1||natural language processing (NLP):1||neural network:1||optical flow:1||preprocessing:1||principal component:1||sexual predator:1||similarity:1||suspense:1||text mining:1||texture:1||(Oneclass) unsupervised learning algorithm:1||timeseries anomaly detection:1||3D animation:1||Android:1||Animation films:1||Anomaly detection:1||Artificial intelligence:1||Artificial neural networks:1||Asianface:1||AutoEncoder:1||Autoencoder:1||BERT:1||CNN:1||Cash:1||Chat:1||Cognitive model:1||Contextualizedembedding:1||Crossover operator:1||Decisionmaking:1||Deep learning algorithm:1||Deeplearning models:1||

STATISTICS: Total View :5,243,176; Today View :3,849

RSS_1.0 RSS_2.0 ATOM_1.0

(03063) 25-2, SUNGKYUNKWAN-RO, JONGNO-GU, SEOUL, KOREAsamsunglib@skku.edu

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE