Inferring individuals' sub-health and their TCM syndrome based on the diagnosis of TCM doctors. - Feng Guo 005; Ying Dai 001; Shaozi Li; Kenzo Ito (SMC, 2010)

Sensitivity-based data selection for predicting individual's sub-health on TCM doctors' diagnosis. - Yi Wang 046; Ying Dai 001; Feng Guo 005; Shaozi Li (SMC, 2011)

Representing Images' Meanings by Associative Values with Given Lexicons Considering the Semantic Tolerance Relation. - Ying Dai 001 (Adv. Multim., 2011)

Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM. - Feng Guo 005; Shaozi Li; Ying Dai 001; Changle Zhou; Ying Lin (Int. J. Distance Educ. Technol., 2011)

Interval-Valued Cloud Model Based Personal Sub-health Status Diagnosing Prototype System on TCM Syndrome Data. - Feng Guo 005; Ying Lin; Shaozi Li; Ying Dai 001 (UIC/ATC, 2012)

Quality assessment of subjectively labelled training data for improving the reliability of status prediction. - Ying Dai 001 (SMC, 2016)

CNN-based repetitive self-revised learning for photos' aesthetics imbalanced classification. - Ying Dai 001 (ICPR, 2020)

Sample-specific repetitive learning for photo aesthetic auto-assessment and highlight elements analysis. - Ying Dai 001 (Multim. Tools Appl., 2021)

CNN-based visible ingredient segmentation in food images for food ingredient recognition. - Ziyi Zhu; Ying Dai 001 (IIAI-AAI, 2022)

Exploring Metrics to Establish an Optimal Model for Image Aesthetic Assessment and Analysis. - Ying Dai 001 (J. Imaging, 2022)

CNN-Based Visible Ingredients Recognition in a Food Image Using Decision Making Schemes. - Kun Fu; Ying Dai 001; Ziyi Zhu (SMC, 2023)

Building CNN-Based Models for Image Aesthetic Score Prediction Using an Ensemble. - Ying Dai 001 (J. Imaging, 2023)

A New CNN-Based Single-Ingredient Classification Model and Its Application in Food Image Segmentation. - Ziyi Zhu; Ying Dai 001 (J. Imaging, 2023)

Improving Food Segmentation Through Selecting Suitable Feature Representations of Image Pixels. - Ziyi Zhu; Ying Dai 001 (ICPR (Workshops and Challenges, 4), 2024)

Exploring PCA-based feature representations of image pixels via CNN to enhance food image segmentation. - Ying Dai 001 (CoRR, 2024)

Recognizing Multiple Ingredients in Food Images Using a Single-Ingredient Classification Model. - Kun Fu; Ying Dai 001 (Int. J. Intell. Inf. Technol., 2024)