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Barbro Back
Barbro Back
Åbo Akademi University, Professor in Accounting Information Systems
Verified email at abo.fi
Title
Cited by
Cited by
Year
Neural networks and genetic algorithms for bankruptcy predictions
B Back, T Laitinen, K Sere
Expert systems with applications 11 (4), 407-413, 1996
3191996
Choosing bankruptcy predictors using discriminant analysis, logit analysis and genetic algorithms
B Back, T Laitinen, K Sere, M Van Wezel
Turku Centre for Computer Science. TR No 40, 1996
3011996
Combining data and text mining techniques for analysing financial reports
A Kloptchenko, T Eklund, J Karlsson, B Back, H Vanharanta, A Visa
Intelligent Systems in Accounting, Finance & Management: International …, 2004
2612004
Managing complexity in large data bases using self-organizing maps
B Back, K Sere, H Vanharanta
Accounting, Management and Information Technologies 8 (4), 191-210, 1998
1091998
Comparing numerical data and text information from annual reports using self-organizing maps
B Back, J Toivonen, H Vanharanta, A Visa
International journal of accounting information systems 2 (4), 249-269, 2001
1052001
The language of quarterly reports as an indicator of change in the company’s financial status
C Magnusson, A Arppe, T Eklund, B Back, H Vanharanta, A Visa
Information & Management 42 (4), 561-574, 2005
992005
Using the self-organizing map as a visualization tool in financial benchmarking
T Eklund, B Back, H Vanharanta, A Visa
Information Visualization 2 (3), 171-181, 2003
882003
Assessing the feasibility of self organizing maps for data mining financial information
T Eklund, B Back, H Vanharanta, A Visa
512002
Neural Network and Bankruptcy Prediction
B Back, T Laitinen, K Sere
Advances in Accounting 14, 23-37, 1994
49*1994
A comparative study of neural networks in bankruptcy prediction
B Back, G Oosterom, K Sere, M Van Wezel
Proc. Conf. on Artificial Intelligence Res. in Finland, 140-148, 1994
471994
Customer portfolio analysis using the SOM
AH Holmbom, T Eklund, B Back
International Journal of Business Information Systems 8 (4), 396-412, 2011
452011
Combining visual customer segmentation and response modeling
Z Yao, P Sarlin, T Eklund, B Back
Neural Computing and Applications 25, 123-134, 2014
422014
Industry‐specific cycles and companies' financial performance comparison using self‐organizing maps
A Länsiluoto, T Eklund, B Back, H Vanharanta, A Visa
Benchmarking: An International Journal 11 (3), 267-286, 2004
392004
Analyzing financial performance with self-organizing maps
B Back, K Sere, H Vanharanta
1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998
331998
Data mining accounting numbers using self-organizing maps
B Back, K Sere, H Vanharanta
STeP 96, 35-47, 1996
331996
Applying language technology to nursing documents: pros and cons with a focus on ethics
H Suominen, T Lehtikunnas, B Back, H Karsten, T Salakoski, S Salanterä
International Journal of Medical Informatics 76, S293-S301, 2007
302007
The effect of sample size on different failure prediction methods
B Back, T Laitinen, J Hekanaho, K Sere
Turku Centre for Computer Science, 1997
301997
Validating an expert system for financial statement planning
B Back
Journal of Management Information Systems 10 (3), 157-177, 1993
301993
Combining unsupervised and supervised data mining techniques for conducting customer portfolio analysis
Z Yao, AH Holmbom, T Eklund, B Back
Advances in Data Mining. Applications and Theoretical Aspects: 10th …, 2010
292010
Evaluating a SOM-Based Financial Benchmarking Tool.
HVAV Tomas Eklund, Barbro Back
Journal of Emerging Technologies in Accounting 5 (1), 109-127, 2008
28*2008
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