David Enke

36 papers B 1C 1Misc 1Journal 20Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Using machine and deep learning models, on-chain data, and technical analysis for predicting bitcoin price direction and magnitude.
Eng. Appl. Artif. Intell.
Oluwadamilare Omole, David Enke
2024 J jnl
A novel trading system for the stock market using Deep Q-Network action and instance selection.
Expert Syst. Appl.
Myeongseok Park, Jaeyun Kim, David Enke
2024 C conf
Intelligent Turning Cyber-Physical Systems Modeling using SysML.
IECON
Prithbey Raj Dey, David Enke, Mario Buchely
2024 J jnl
Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems.
Eng. Appl. Artif. Intell.
Yechan Han, Jaeyun Kim, David Enke
2023 J jnl
A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost.
Expert Syst. Appl.
Yechan Han, Jaeyun Kim, David Enke
2017 J jnl
A comprehensive cluster and classification mining procedure for daily stock market return forecasting.
Neurocomputing
Xiao Zhong, David Enke
2017 J jnl
A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market.
Eng. Appl. Artif. Intell.
Sukjun Lee, David Enke, Youngmin Kim
2017 J jnl
An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms.
Appl. Soft Comput.
Young Min Kim, Wonbin Ahn, Kyong Joo Oh, David Enke
2017 J jnl
Forecasting daily stock market return using dimensionality reduction.
Expert Syst. Appl.
Xiao Zhong, David Enke
2016 J jnl
An adaptive stock index trading decision support system.
Expert Syst. Appl.
Wen-Chyuan Chiang, David Enke, Tong Wu, Renzhong Wang
2016 J jnl
Developing a rule change trading system for the futures market using rough set analysis.
Expert Syst. Appl.
Youngmin Kim, David Enke
2015 — conf
Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques.
Complex Adaptive Systems
Nijat Mehdiyev, Julian Krumeich, David Enke, Dirk Werth, Peter Loos
2015 — conf
Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network Filter.
Complex Adaptive Systems
Soheil Almasi Monfared, David Enke
2015 — conf
Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures.
Complex Adaptive Systems
Phoebe S. Wiles, David Enke
2014 — conf
A Hybrid Neuro-fuzzy Model to Forecast Inflation.
Complex Adaptive Systems
David Enke, Nijat Mehdiyev
2014 J jnl
Interest rate prediction: a neuro-hybrid approach with data preprocessing.
Int. J. Gen. Syst.
Nijat Mehdiyev, David Enke
2014 — conf
Nonlinear Modeling Using Neural Networks for Trading the Soybean Complex.
Complex Adaptive Systems
Phoebe S. Wiles, David Enke
2014 — conf
Part IV: Business and Financial Analytics Preface.
Complex Adaptive Systems
David Enke
2014 — conf
Volatility Forecasting Using a Hybrid GJR-GARCH Neural Network Model.
Complex Adaptive Systems
Soheil Almasi Monfared, David Enke
2013 — conf
Part I: Adaptive Systems.
Complex Adaptive Systems
David Enke
2013 J jnl
Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network.
Intell. Autom. Soft Comput.
David Enke, Nijat Mehdiyev
2013 — conf
Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates.
Complex Adaptive Systems
David Enke, Nijat Mehdiyev
2012 — conf
A New Hybrid Approach For Forecasting Interest Rates.
Complex Adaptive Systems
David Enke, Nijat Mehdiyev
2012 J jnl
Biased trader model and analysis of financial market dynamics.
Int. J. Knowl. Based Intell. Eng. Syst.
Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli
2012 — conf
Preface to Part II Computational Intelligence and Machine Learning.
Complex Adaptive Systems
Rosemary D. Paradis, David Enke
2011 — conf
Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks.
Complex Adaptive Systems
David Enke, Manfred Grauer, Nijat Mehdiyev
2009 J jnl
A hybrid stock trading system for intelligent technical analysis-based equivolume charting.
Neurocomputing
Thira Chavarnakul, David Enke
2008 J jnl
Intelligent technical analysis based equivolume charting for stock trading using neural networks.
Expert Syst. Appl.
Thira Chavarnakul, David Enke
2007 J jnl
A hybrid option pricing model using a neural network for estimating volatility.
Int. J. Gen. Syst.
Sunisa Amornwattana, David Enke, Cihan H. Dagli
2007 Misc conf
Analysis of System Behavior Through Cognitive Architectures.
IC-AI
Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli
2005 J jnl
The use of data mining and neural networks for forecasting stock market returns.
Expert Syst. Appl.
David Enke, Suraphan Thawornwong
2004 J jnl
An expert advisory system for the ISO 9001 quality system.
Expert Syst. Appl.
Hsien-Tsung Liao, David Enke, Henry Wiebe
2004 B conf
Forecasting series-based stock price data using direct reinforcement learning.
IJCNN
Hailin Li, Cihan H. Dagli, David Enke
2004 J jnl
The adaptive selection of financial and economic variables for use with artificial neural networks.
Neurocomputing
Suraphan Thawornwong, David Enke
2000 J jnl
Large machine-part family formation utilizing a parallel ART1 neural network.
J. Intell. Manuf.
David Enke, Kanchitpol Ratanapan, Cihan H. Dagli
1997 — conf
Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects.
Human Vision and Electronic Imaging
David Enke, Cihan H. Dagli