Enhancement of DNN-based multilabel classification by grouping labels based on data imbalance and label correlation

Chen, Ling; Wang, Yuhong; Li, Hao

doi:10.1016/j.patcog.2022.108964

Cited by 7 publications

(1 citation statement)

References 47 publications

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“…An imbalance in the training dataset is one of the main problems of ML-based classification. Ling Chen et al built a neural network that improved the Multi-Label Classification (MLC) performance of DNN based on the relationship between data imbalance and label correlation to enhance the accuracy of labels in non-trend classes [ 40 ]. Tianyu Liu et al proposed hybrid ML to predict stroke based on physiological data with incompleteness and data imbalance, reporting 51.5% less error than other ML-based techniques [ 41 ].…”

Section: Related Workmentioning

confidence: 99%

UX Framework Including Imbalanced UX Dataset Reduction Method for Analyzing Interaction Trends of Agent Systems

Sung

2023

Sensors

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The performance of game AI can significantly impact the purchase decisions of users. User experience (UX) technology can evaluate user satisfaction with game AI by analyzing user interaction input through a user interface (UI). Although traditional UX-based game agent systems use a UX evaluation to identify the common interaction trends of multiple users, there is a limit to evaluating UX data, i.e., creating a UX evaluation and identifying the interaction trend for each individual user. The loss of UX data features for each user should be minimized and reflected to provide a personalized game agent system for each user. This paper proposes a UX framework for game agent systems in which a UX data reduction method is applied to improve the interaction for each user. The proposed UX framework maintains non-trend data features in the UX dataset where overfitting occurs to provide a personalized game agent system for each user, achieved by minimizing the loss of UX data features for each user. The proposed UX framework is applied to a game called “Freestyle” to verify its performance. By using the proposed UX framework, the imbalanced UX dataset of the Freestyle game minimizes overfitting and becomes a UX dataset that reflects the interaction trend of each user. The UX dataset generated from the proposed UX framework is used to provide customized game agents of each user to enhanced interaction. Furthermore, the proposed UX framework is expected to contribute to the research on UX-based personalized services.

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Section: Related Workmentioning

confidence: 99%