Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects. - David Enke; Cihan H. Dagli (Human Vision and Electronic Imaging, 1997)

Large machine-part family formation utilizing a parallel ART1 neural network. - David Enke; Kanchitpol Ratanapan; Cihan H. Dagli (J. Intell. Manuf., 2000)

Forecasting series-based stock price data using direct reinforcement learning. - Hailin Li; Cihan H. Dagli; David Enke (IJCNN, 2004)

An expert advisory system for the ISO 9001 quality system. - Hsien-Tsung Liao; David Enke; Henry Wiebe (Expert Syst. Appl., 2004)

The adaptive selection of financial and economic variables for use with artificial neural networks. - Suraphan Thawornwong; David Enke (Neurocomputing, 2004)

The use of data mining and neural networks for forecasting stock market returns. - David Enke; Suraphan Thawornwong (Expert Syst. Appl., 2005)

Analysis of System Behavior Through Cognitive Architectures. - Nil H. Kilicay-Ergin; David Enke; Cihan H. Dagli (IC-AI, 2007)

A hybrid option pricing model using a neural network for estimating volatility. - Sunisa Amornwattana; David Enke; Cihan H. Dagli (Int. J. Gen. Syst., 2007)

Intelligent technical analysis based equivolume charting for stock trading using neural networks. - Thira Chavarnakul; David Enke (Expert Syst. Appl., 2008)

A hybrid stock trading system for intelligent technical analysis-based equivolume charting. - Thira Chavarnakul; David Enke (Neurocomputing, 2009)

Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks. - David Enke; Manfred Grauer; Nijat Mehdiyev (Complex Adaptive Systems, 2011)

Biased trader model and analysis of financial market dynamics. - Nil H. Kilicay-Ergin; David Enke; Cihan H. Dagli (Int. J. Knowl. Based Intell. Eng. Syst., 2012)

A New Hybrid Approach For Forecasting Interest Rates. - David Enke; Nijat Mehdiyev (Complex Adaptive Systems, 2012)

Preface to Part II Computational Intelligence and Machine Learning. - Rosemary D. Paradis; David Enke (Complex Adaptive Systems, 2012)

Part I: Adaptive Systems. - David Enke (Complex Adaptive Systems, 2013)

Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates. - David Enke; Nijat Mehdiyev (Complex Adaptive Systems, 2013)

Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network. - David Enke; Nijat Mehdiyev (Intell. Autom. Soft Comput., 2013)

Part IV: Business and Financial Analytics Preface. - David Enke (Complex Adaptive Systems, 2014)

A Hybrid Neuro-fuzzy Model to Forecast Inflation. - David Enke; Nijat Mehdiyev (Complex Adaptive Systems, 2014)

Volatility Forecasting Using a Hybrid GJR-GARCH Neural Network Model. - Soheil Almasi Monfared; David Enke (Complex Adaptive Systems, 2014)

Nonlinear Modeling Using Neural Networks for Trading the Soybean Complex. - Phoebe S. Wiles; David Enke (Complex Adaptive Systems, 2014)

Interest rate prediction: a neuro-hybrid approach with data preprocessing. - Nijat Mehdiyev; David Enke (Int. J. Gen. Syst., 2014)

Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques. - Nijat Mehdiyev; Julian Krumeich; David Enke; Dirk Werth; Peter Loos (Complex Adaptive Systems, 2015)

Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network Filter. - Soheil Almasi Monfared; David Enke (Complex Adaptive Systems, 2015)

Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures. - Phoebe S. Wiles; David Enke (Complex Adaptive Systems, 2015)

An adaptive stock index trading decision support system. - Wen-Chyuan Chiang; David Enke; Tong Wu; Renzhong Wang (Expert Syst. Appl., 2016)

Developing a rule change trading system for the futures market using rough set analysis. - Youngmin Kim; David Enke (Expert Syst. Appl., 2016)

An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms. - Young Min Kim 002; Wonbin Ahn; Kyong Joo Oh; David Enke (Appl. Soft Comput., 2017)

A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market. - Sukjun Lee; David Enke; Youngmin Kim (Eng. Appl. Artif. Intell., 2017)

Forecasting daily stock market return using dimensionality reduction. - Xiao Zhong; David Enke (Expert Syst. Appl., 2017)

A comprehensive cluster and classification mining procedure for daily stock market return forecasting. - Xiao Zhong; David Enke (Neurocomputing, 2017)

A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost. - Yechan Han; Jaeyun Kim; David Enke (Expert Syst. Appl., 2023)

Intelligent Turning Cyber-Physical Systems Modeling using SysML. - Prithbey Raj Dey; David Enke; Mario Buchely (IECON, 2024)

Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems. - Yechan Han; Jaeyun Kim; David Enke (Eng. Appl. Artif. Intell., 2024)

A novel trading system for the stock market using Deep Q-Network action and instance selection. - Myeongseok Park; Jaeyun Kim; David Enke (Expert Syst. Appl., 2024)

Using machine and deep learning models, on-chain data, and technical analysis for predicting bitcoin price direction and magnitude. - Oluwadamilare Omole; David Enke (Eng. Appl. Artif. Intell., 2025)