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ORCIDIntelligent Systems in Accounting, Finance and Management, Volume 13
Volume 13, Number 1, March 2005
- Dimitris Apostolou, Gregory Mentzas, Andreas Abecker
, Wolfgang Maass, Panos Georgolios, Kostas Kafentzis:
Challenges and directions in knowledge asset trading. 1-15 - Konstantinos Ergazakis, Konstantinos Karnezis, Konstantinos S. Metaxiotis, Ioannis Psarras:
Knowledge management in enterprises: a research agenda. 17-26 - Hennie Daniels, Henk Noordhuis:
Project selection based on intellectual capital scorecards. 27-32 - Hans-Georg Zimmermann, Ralph Grothmann:
Optimal asset allocation for a large number of investment opportunities. 33-40 - Beat Reber, Bob Berry, Steve Toms:
Predicting mispricing of initial public offerings. 41-59
Volume 13, Number 2, June 2005
- Fiona Davies, Luiz Moutinho, Graeme Hutcheson:
Constructing a knowledge-based system to aid scenario-based strategic planning: an application to the European airline industry. 61-79 - José R. Aragonés, Carlos Blanco, Pablo García Estévez:
Improving expected tail loss estimates with neural networks. 81-94 - Paul P. M. Pompe, Jan Bilderbeek:
Bankruptcy prediction: the influence of the year prior to failure selected for model building and the effects in a period of economic decline. 95-112 - Malcolm J. Beynon:
Optimizing object classification under ambiguity/ignorance: application to the credit rating problem. 113-130
Volume 13, Number 3, July / September 2005
- Mirta Bensic, Natasa Sarlija, Marijana Zekic-Susac:
Modelling small-business credit scoring by using logistic regression, neural networks and decision trees. 133-150 - Robert S. Ludwig, Michael J. Piovoso:
A comparison of machine-learning classifiers for selecting money managers. 151-164 - Brad S. Trinkle:
Forecasting annual excess stock returns via an adaptive network-based fuzzy inference system. 165-177 - Armand Layne:
Artificial intelligence (ai). 179-181 - Peter Howarth:
Reader's report on 'artificial intelligence'. 183-184
Volume 13, Number 4, December 2005
- Ashwani Kumar:
Interpretability and mean-square error performance of fuzzy inference systems For Data Mining. 185-196 - Michael Doumpos, Chrysovalantis Gaganis, Fotios Pasiouras:
Explaining qualifications in audit reports using a support vector machine methodology. 197-215 - Adrian Costea, Iulian Nastac:
Assessing the predictive performance of artifIcial neural network-based classifiers based on different data preprocessing methods, distributions and training mechanisms. 217-250
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