Search Results for author: Tinghui Ouyang

Found 4 papers, 1 papers with code

Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurance

no code implementations15 Jan 2024 Tinghui Ouyang, AprilPyone MaungMaung, Koichi Konishi, Yoshiki Seo, Isao Echizen

In the era of large AI models, the complex architecture and vast parameters present substantial challenges for effective AI quality management (AIQM), e. g. large language model (LLM).

Language Modelling Large Language Model +2

A Novel Statistical Measure for Out-of-Distribution Detection in Data Quality Assurance

no code implementations12 Oct 2023 Tinghui Ouyang, Isao Echizen, Yoshiki Seo

Aiming to investigate the data domain and out-of-distribution (OOD) data in AI quality management (AIQM) study, this paper proposes to use deep learning techniques for feature representation and develop a novel statistical measure for OOD detection.

Feature Engineering Management +1

Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction

no code implementations29 Jun 2022 Zhenhao Tang, Shikui Wang, Xiangying Chai, Shengxian Cao, Tinghui Ouyang, Yang Li

An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to predict the NOx emission concentration based on the combination of mutual information algorithm (MI), AE, and ELM.

Corner case data description and detection

1 code implementation7 Jan 2021 Tinghui Ouyang, Vicent Sant Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo

However, the complex architecture and the huge amount of parameters make the robust adjustment of DL models not easy, meanwhile it is not possible to generate all real-world corner cases for DL training.

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