Jaegul Choo
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Topic Modeling, Natural Language Processing Techniques, Data Visualization and Analytics, Multimodal Machine Learning Applications
Most-Cited Works
- → A Multi-Organ Nucleus Segmentation Challenge(2019)517 cited
- → RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records(2018)306 cited
- → UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization(2013)274 cited
- → Visual Analytics for Explainable Deep Learning(2018)263 cited
- → StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation(2018)221 cited
- → Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations(2018)175 cited
- → ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed(2020)162 cited
- → iVisClustering: An Interactive Visual Document Clustering via Topic Modeling(2012)160 cited
- → Visualizing for the Non‐Visual: Enabling the Visually Impaired to Use Visualization(2019)141 cited
- → Nonnegative Matrix Factorization for Interactive Topic Modeling and Document Clustering(2014)134 cited