Forecasting S&P 500 stock index futures with a hybrid AI system. - Ray Tsaih; Yenshan Hsu; Charles C. Lai (Decis. Support Syst., 1998)

Sensitivity analysis, neural networks, and the finance. - Ray Tsaih (IJCNN, 1999)

An efficient search direction for linear programming problems. - Hsing Luh; Ray Tsaih (Comput. Oper. Res., 2002)

The Business Process Investigation in the Perspective of Customer Value. - Ray Tsaih; Wanying Lin; Miaoju Hung; Yaling Cheng (ICEB, 2004)

The Layered Feed-Forward Neural Networks and Its Rule Extraction. - Ray Tsaih; Chih-Chung Lin (ISNN (1), 2004)

Credit scoring system for small business loans. - Ray Tsaih; Yu-Jane Liu; Wenching Liu; Yu-Ling Lien (Decis. Support Syst., 2004)

The business concept of utilizing the interactive TV. - Ray Tsaih; Hsin-Lu Chang; Chiung-Yu Huang (Ind. Manag. Data Syst., 2005)

An intelligent primer design system for multiplex reverse transcription polymerase chain reaction and complementary DNA microarray. - Ming-Hua Hsieh; Ray Tsaih; Chiung-Yu Huang (Expert Syst. Appl., 2006)

The process-wide information organism approach for the business process analysis. - Ray Tsaih; Wanying Lin (Ind. Manag. Data Syst., 2006)

The rule-extraction through the preimage analysis. - Rua-Huan Tsaih; Yat-wah Wan; Shin-Ying Huang (IJCNN, 2008)

Safeguard gaps and their managerial issues. - Rua-Huan Tsaih; Wanying Lin; Ada Chen (Ind. Manag. Data Syst., 2008)

A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network. - Rua-Huan Tsaih; Yat-wah Wan (ICANN (1), 2009)

Knowledge-internalization process for neural-networks practitioners. - Rua-Huan Tsaih; Hsiou-Wei Lin (IJCNN, 2009)

Exploring Fraudulent Financial Reporting with GHSOM. - Rua-Huan Tsaih; Wanying Lin; Shin-Ying Huang (PAISI, 2009)

A resistant learning procedure for coping with outliers. - Rua-Huan Tsaih; Tsung-Chi Cheng (Ann. Math. Artif. Intell., 2009)

A systematic design for coping with model risk. - Yu-Hsiang Yang; Rua-Huan Tsaih; Ming-Hua Hsieh (Expert Syst. Appl., 2011)

The prediction approach with Growing Hierarchical Self-Organizing Map. - Shin-Ying Huang; Rua-Huan Tsaih (IJCNN, 2012)

Unsupervised Neural Networks Approach for Understanding Fraudulent Financial Reporting. - Shin-Ying Huang; Rua-Huan Tsaih; Wanying Lin (Ind. Manag. Data Syst., 2012)

Quantitative Analysis of Cloud-Based Streaming Services. - Fang Yu 001; Yat-wah Wan; Rua-Huan Tsaih (IEEE SCC, 2013)

Clustering iOS executable using self-organizing maps. - Fang Yu 001; Shin-Ying Huang; Li-ching Chiou; Rua-Huan Tsaih (IJCNN, 2013)

Resistant learning on the envelope bulk for identifying anomalous patterns. - Shin-Ying Huang; Fang Yu 001; Rua-Huan Tsaih; Yennun Huang (IJCNN, 2014)

Topological pattern discovery and feature extraction for fraudulent financial reporting. - Shin-Ying Huang; Rua-Huan Tsaih; Fang Yu 001 (Expert Syst. Appl., 2014)

Network-traffic anomaly detection with incremental majority learning. - Shin-Ying Huang; Fang Yu 001; Rua-Huan Tsaih; Yennun Huang (IJCNN, 2015)

Challenges deploying complex technologies in a traditional organization. - Rua-Huan Tsaih; David C. Yen; Yu-Chien Chang (Commun. ACM, 2015)

The ICT predicament of new ICT-enabled service. - Wen-Jan Chang; Rua-Huan Tsaih; David C. Yen; Tzu-Shian Han (CoRR, 2015)

Outlier detection in the concept drifting environment. - Shin-Ying Huang; Jhe-Wei Lin; Rua-Huan Tsaih (IJCNN, 2016)

ANN Mechanism for Network Traffic Anomaly Detection in the Concept Drifting Environment. - Rua-Huan Tsaih; Shin-Ying Huang; Mao-Ci Lian; Yennun Huang (DSC, 2018)

How Design Features Lead to Visitors' Visit Intention through Virtual Reality Experience: The Case of National Palace Museum. - Hsin-Lu Chang; Hui-Chen Hu; Kai Wang 038; Rua-Huan Tsaih; Lian Pu (PACIS, 2018)

Using Virtual Reality for Museum Exhibitions: The Effects of Attention and Engagement for National Palace Museum. - Hsin-Lu Chang; Yung-Chi Shih; Kai Wang 038; Rua-Huan Tsaih; Zhiyan Lin (PACIS, 2018)

Quantitative quality estimation of cloud-based streaming services. - Fang Yu 001; Yat-wah Wan; Rua-Huan Tsaih (Comput. Commun., 2018)

The Use of Big Data Analytics to Predict the Foreign Exchange Rate Based on Public Media: A Machine-Learning Experiment. - Rua-Huan Tsaih; Biing-Shen Kuo; Tzu-Hsiang Lin; Che-Chuan Hsu (IT Prof., 2018)

Challenges in Creating Hybrid Professionalism Knowledge. - Rua-Huan Tsaih; David C. Yen; Yu-Chien Chang; Che-Chuan Hsu (IT Prof., 2018)

The Cramming, Softening and Integrating Learning Algorithm with Parametric ReLU Activation Function for Binary Input/Output Problems. - Yu-Han Tsai; Yu-Jie Jheng; Rua-Huan Tsaih (IJCNN, 2019)

S&P 500 index of monthly data of bull/bear markets. - Rua-Huan Tsaih; Ching-Chih Lu; Hsuan-Yun Chang; Yu-Hsiang Yang (IEEE DataPort, 2019)

Smart Microfinance Platform Service for Migrant Workers. - Li-Ling Tsao; Rua-Huan Tsaih (ICIS, 2023)

A Mechanism for Supporting the Peak/Trough Detection in the Concept Drifting Environment. - Chang-Shuo Chen; Di-Cheng Wang; Rua-Huan Tsaih; Chi-Hsiang Tsaih (INNS DLIA@IJCNN, 2023)

Pupil Learning Mechanism. - Rua-Huan Tsaih; Yu-Hang Chien; Shih-Yi Chien (CoRR, 2023)

The AI Tech-Stack Model. - Rua-Huan Tsaih; Hsin-Lu Chang; Chih-Chun Hsu; David C. Yen (Commun. ACM, 2023)