| Year |
Citation |
Score |
| 2017 |
Zhong X, Enke D. Forecasting daily stock market return using dimensionality reduction Expert Systems With Applications. 67: 126-139. DOI: 10.1016/J.Eswa.2016.09.027 |
0.516 |
|
| 2017 |
Lee S, Enke D, Kim Y. A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market Engineering Applications of Artificial Intelligence. 61: 47-56. DOI: 10.1016/J.Engappai.2017.02.014 |
0.462 |
|
| 2017 |
Kim Y, Ahn W, Oh KJ, Enke D. An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms Applied Soft Computing. 55: 127-140. DOI: 10.1016/J.Asoc.2017.02.006 |
0.474 |
|
| 2016 |
Kim Y, Enke D. Using Neural Networks to Forecast Volatility for an Asset Allocation Strategy Based on the Target Volatility Procedia Computer Science. 95: 281-286. DOI: 10.1016/J.Procs.2016.09.335 |
0.54 |
|
| 2016 |
Kim Y, Enke D. Developing a rule change trading system for the futures market using rough set analysis Expert Systems With Applications. 59: 165-173. DOI: 10.1016/J.Eswa.2016.04.031 |
0.5 |
|
| 2016 |
Chiang WC, Enke D, Wu T, Wang R. An adaptive stock index trading decision support system Expert Systems With Applications. 59: 195-207. DOI: 10.1016/J.Eswa.2016.04.025 |
0.544 |
|
| 2015 |
Wiles PS, Enke D. Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures Procedia Computer Science. 61: 85-91. DOI: 10.1016/j.procs.2015.09.157 |
0.353 |
|
| 2015 |
Wiles P, Enke D. A hybrid neuro-fuzzy model to forecast the Soybean complex International Annual Conference of the American Society For Engineering Management 2015, Asem 2015. 1-5. |
0.415 |
|
| 2014 |
Mehdiyev N, Enke D. Interest rate prediction: A neuro-hybrid approach with data preprocessing International Journal of General Systems. 43: 535-550. DOI: 10.1080/03081079.2014.883386 |
0.407 |
|
| 2014 |
Enke D, Mehdiyev N. A hybrid neuro-fuzzy model to forecast inflation Procedia Computer Science. 36: 254-260. DOI: 10.1016/J.Procs.2014.09.088 |
0.534 |
|
| 2014 |
Monfared SA, Enke D. Volatility forecasting using a hybrid GJR-GARCH neural network model Procedia Computer Science. 36: 246-253. DOI: 10.1016/J.Procs.2014.09.087 |
0.608 |
|
| 2014 |
Wiles PS, Enke D. Nonlinear modeling using neural networks for trading the soybean complex Procedia Computer Science. 36: 234-239. DOI: 10.1016/J.Procs.2014.09.085 |
0.492 |
|
| 2013 |
Enke D, Mehdiyev N. Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network Intelligent Automation and Soft Computing. 19: 636-648. DOI: 10.1080/10798587.2013.839287 |
0.496 |
|
| 2013 |
Enke D, Mehdiyev N. Type-2 fuzzy clustering and a type-2 fuzzy inference neural network for the prediction of short-term interest rates Procedia Computer Science. 20: 115-120. DOI: 10.1016/J.Procs.2013.09.248 |
0.415 |
|
| 2012 |
Kilicay-Ergin N, Enke D, Dagli C. Biased trader model and analysis of financial market dynamics International Journal of Knowledge-Based and Intelligent Engineering Systems. 16: 99-116. DOI: 10.3233/Kes-2011-0235 |
0.452 |
|
| 2012 |
Enke D, Mehdiyev N. A new hybrid approach for forecasting interest rates Procedia Computer Science. 12: 259-264. DOI: 10.1016/J.Procs.2012.09.066 |
0.476 |
|
| 2011 |
Enke D, Grauer M, Mehdiyev N. Stock market prediction with Multiple Regression, Fuzzy type-2 clustering and neural networks Procedia Computer Science. 6: 201-206. DOI: 10.1016/J.Procs.2011.08.038 |
0.583 |
|
| 2009 |
Chavarnakul T, Enke D. A hybrid stock trading system for intelligent technical analysis-based equivolume charting Neurocomputing. 72: 3517-3528. DOI: 10.1016/J.Neucom.2008.11.030 |
0.799 |
|
| 2008 |
Enke D, Amornwattana S. A hybrid derivative trading system based on volatility and return forecasting Engineering Economist. 53: 259-292. DOI: 10.1080/00137910802263174 |
0.785 |
|
| 2008 |
Chavarnakul T, Enke D. Intelligent technical analysis based equivolume charting for stock trading using neural networks Expert Systems With Applications. 34: 1004-1017. DOI: 10.1016/J.Eswa.2006.10.028 |
0.847 |
|
| 2007 |
Amornwattana S, Enke D, Dagli CH. A hybrid option pricing model using a neural network for estimating volatility International Journal of General Systems. 36: 558-573. DOI: 10.1080/03081070701210303 |
0.823 |
|
| 2007 |
Tirasirichai C, Enke D. Case study: Applying a regional Cge model for estimation of indirect economic losses due to damaged highway bridges Engineering Economist. 52: 367-401. DOI: 10.1080/00137910701686996 |
0.328 |
|
| 2007 |
Kilicay NH, Enke D, Dagli C. Analysis of system behavior through cognitive architectures Proceedings of the 2007 International Conference On Artificial Intelligence, Icai 2007. 1: 50-55. |
0.318 |
|
| 2007 |
Enke D, Chowdhury B, Gelles G, Stanek K. Concepts on market-oriented transmission investment International Journal of Power and Energy Systems. 27: 330-339. |
0.31 |
|
| 2006 |
Enke D. Neural network-based stock market return forecasting using data mining for variable reduction Artificial Neural Networks in Finance and Manufacturing. 43-63. DOI: 10.4018/978-1-59140-670-9.ch003 |
0.559 |
|
| 2006 |
Chavarnakul T, Enke D. Neuro-Fuzzy volume adjusted moving averages for intelligent trading decisions 27th Annual National Conference of the American Society For Engineering Management 2006 - Managing Change: Managing People and Technology in a Rapidly Changing World, Asem 2006. 279-288. |
0.823 |
|
| 2006 |
Chavarnakul T, Enke D. Stock trading using neural networks and the ease of movement technical indicator 2006 Iie Annual Conference and Exhibition. |
0.836 |
|
| 2005 |
Enke D, Thawornwong S. The use of data mining and neural networks for forecasting stock market returns Expert Systems With Applications. 29: 927-940. DOI: 10.1016/J.Eswa.2005.06.024 |
0.831 |
|
| 2005 |
Tirasirichai C, Amornwattana S, Enke D. The economic aspects of power system design Iie Annual Conference and Exposition 2005. |
0.732 |
|
| 2005 |
Shil P, Enke D, Ramakrishnan S. Forecasting out-of-the-money call option strike prices for bull option spreading strategies 26th Annual National Conference of the American Society For Engineering Management 2005 - Organizational Transformation: Opportunities and Challenges, Asem 2005. 42-50. |
0.37 |
|
| 2004 |
Thawornwong S, Enke D. The adaptive selection of financial and economic variables for use with artificial neural networks Neurocomputing. 56: 205-232. DOI: 10.1016/J.Neucom.2003.05.001 |
0.822 |
|
| 2004 |
Liao HT, Enke D, Wiebe H. An expert advisory system for the ISO 9001 quality system Expert Systems With Applications. 27: 313-322. DOI: 10.1016/J.Eswa.2004.02.006 |
0.447 |
|
| 2004 |
Mepokee J, Enke D, Chowdhury B. Cost allocation for transmission investment using agent-based game theory 2004 International Conference On Probabilistic Methods Applied to Power Systems. 545-550. |
0.708 |
|
| 2003 |
Thawornwong S, Enke D, Dagli C. Neural networks as a decision maker for stock trading: A technical analysis approach International Journal of Smart Engineering System Design. 5: 313-325. DOI: 10.1080/10255810390245627 |
0.827 |
|
| 2003 |
Amornwattana S, Enke D, Dagli C. A hybrid option pricing model using a neural network for forecasting volatility Intelligent Engineering Systems Through Artificial Neural Networks. 13: 725-730. |
0.823 |
|
| 2002 |
Thawornwong S, Enke D. A computational approach for selecting the performing stocks of the dow Intelligent Engineering Systems Through Artificial Neural Networks. 12: 695-700. |
0.787 |
|
| 2002 |
Thawornwong S, Enke D, Dagli C. Genetic Algorithms and Neural Networks for Stock Trading Prediction and Technical Signal Optimization Proceedings - Annual Meeting of the Decision Sciences Institute. 776-781. |
0.834 |
|
| 2002 |
Bogullu VK, Enke D, Dagli C. Using neural networks and technical indicators for generating stock trading signals Intelligent Engineering Systems Through Artificial Neural Networks. 12: 721-726. |
0.489 |
|
| 2001 |
Hemsathapat K, Dagli CH, Enke D. Using a neuro-fuzzy-genetic data mining architecture to determine a marketing strategy in a charitable organization's donor database Ieee International Engineering Management Conference. 64-69. |
0.322 |
|
| 2000 |
Enke D, Ratanapan K, Dagli C. Large machine-part family formation utilizing a parallel ART1 neural network Journal of Intelligent Manufacturing. 11: 591-604. DOI: 10.1023/A:1026508623947 |
0.372 |
|
| 1998 |
Enke D, Ratanapan K, Dagli C. Machine-part family formation utilizing an art1 neural network implemented on a parallel neuro-computer Computers and Industrial Engineering. 34: 189-205. DOI: 10.1016/S0360-8352(97)00160-5 |
0.412 |
|
| 1995 |
Enke D, Lee HC, Ozbayoglu AM, Thammano A, Dagli CH. SimNet neural network: An application to speaker identification Intelligent Engineering Systems Through Artificial Neural Networks. 5: 69-76. |
0.359 |
|
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