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2020 – today
- 2024
[j19]Yechan Han
, Jaeyun Kim, David Enke:
Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems. Eng. Appl. Artif. Intell. 135: 108680 (2024)- [j18]Myeongseok Park, Jaeyun Kim, David Enke:
A novel trading system for the stock market using Deep Q-Network action and instance selection. Expert Syst. Appl. 257: 125043 (2024) - 2023
- [j17]Yechan Han, Jaeyun Kim, David Enke:
A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost. Expert Syst. Appl. 211: 118581 (2023)
2010 – 2019
- 2017
- [j16]Young Min Kim, Wonbin Ahn, Kyong Joo Oh, David Enke:
An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms. Appl. Soft Comput. 55: 127-140 (2017) - [j15]Sukjun Lee, David Enke, Youngmin Kim:
A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market. Eng. Appl. Artif. Intell. 61: 47-56 (2017) - [j14]Xiao Zhong, David Enke:
Forecasting daily stock market return using dimensionality reduction. Expert Syst. Appl. 67: 126-139 (2017) - [j13]Xiao Zhong, David Enke:
A comprehensive cluster and classification mining procedure for daily stock market return forecasting. Neurocomputing 267: 152-168 (2017) - 2016
- [j12]Youngmin Kim, David Enke:
Developing a rule change trading system for the futures market using rough set analysis. Expert Syst. Appl. 59: 165-173 (2016) - [j11]Wen-Chyuan Chiang, David Enke, Tong Wu, Renzhong Wang:
An adaptive stock index trading decision support system. Expert Syst. Appl. 59: 195-207 (2016) - 2015
- [c14]Soheil Almasi Monfared, David Enke:
Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network Filter. Complex Adaptive Systems 2015: 80-84 - [c13]Phoebe S. Wiles, David Enke:
Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures. Complex Adaptive Systems 2015: 85-91 - [c12]Nijat Mehdiyev, Julian Krumeich, David Enke, Dirk Werth, Peter Loos:
Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques. Complex Adaptive Systems 2015: 395-401 - 2014
- [j10]Nijat Mehdiyev, David Enke:
Interest rate prediction: a neuro-hybrid approach with data preprocessing. Int. J. Gen. Syst. 43(5): 535-550 (2014) - [c11]David Enke:
Part IV: Business and Financial Analytics Preface. Complex Adaptive Systems 2014: 218-219 - [c10]Phoebe S. Wiles, David Enke:
Nonlinear Modeling Using Neural Networks for Trading the Soybean Complex. Complex Adaptive Systems 2014: 234-239 - [c9]Soheil Almasi Monfared, David Enke:
Volatility Forecasting Using a Hybrid GJR-GARCH Neural Network Model. Complex Adaptive Systems 2014: 246-253 - [c8]David Enke, Nijat Mehdiyev:
A Hybrid Neuro-fuzzy Model to Forecast Inflation. Complex Adaptive Systems 2014: 254-260 - 2013
- [j9]David Enke, Nijat Mehdiyev:
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. 19(4): 636-648 (2013) - [c7]David Enke:
Part I: Adaptive Systems. Complex Adaptive Systems 2013: 11-13 - [c6]David Enke, Nijat Mehdiyev:
Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates. Complex Adaptive Systems 2013: 115-120 - 2012
- [j8]Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli:
Biased trader model and analysis of financial market dynamics. Int. J. Knowl. Based Intell. Eng. Syst. 16(2): 99-116 (2012) - [c5]Rosemary D. Paradis, David Enke:
Preface to Part II Computational Intelligence and Machine Learning. Complex Adaptive Systems 2012: 88-89 - [c4]David Enke, Nijat Mehdiyev:
A New Hybrid Approach For Forecasting Interest Rates. Complex Adaptive Systems 2012: 259-264 - 2011
- [c3]David Enke, Manfred Grauer, Nijat Mehdiyev:
Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks. Complex Adaptive Systems 2011: 201-206
2000 – 2009
- 2009
- [j7]Thira Chavarnakul, David Enke:
A hybrid stock trading system for intelligent technical analysis-based equivolume charting. Neurocomputing 72(16-18): 3517-3528 (2009) - 2008
- [j6]Thira Chavarnakul, David Enke:
Intelligent technical analysis based equivolume charting for stock trading using neural networks. Expert Syst. Appl. 34(2): 1004-1017 (2008) - 2007
- [j5]Sunisa Amornwattana, David Enke, Cihan H. Dagli:
A hybrid option pricing model using a neural network for estimating volatility. Int. J. Gen. Syst. 36(5): 558-573 (2007) - [c2]Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli:
Analysis of System Behavior Through Cognitive Architectures. IC-AI 2007: 50-55 - 2005
- [j4]David Enke, Suraphan Thawornwong:
The use of data mining and neural networks for forecasting stock market returns. Expert Syst. Appl. 29(4): 927-940 (2005) - 2004
- [j3]Hsien-Tsung Liao, David Enke, Henry Wiebe:
An expert advisory system for the ISO 9001 quality system. Expert Syst. Appl. 27(2): 313-322 (2004) - [j2]Suraphan Thawornwong, David Enke:
The adaptive selection of financial and economic variables for use with artificial neural networks. Neurocomputing 56: 205-232 (2004) - 2000
- [j1]David Enke, Kanchitpol Ratanapan, Cihan H. Dagli:
Large machine-part family formation utilizing a parallel ART1 neural network. J. Intell. Manuf. 11(6): 591-604 (2000)
1990 – 1999
- 1997
- [c1]David Enke, Cihan H. Dagli:
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 1997: 203-214
Coauthor Index
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