| Neural networks and genetic algorithms for bankruptcy predictions B Back, T Laitinen, K Sere Expert systems with applications 11 (4), 407-413, 1996 | 321 | 1996 |
| 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 | 298 | 1996 |
| 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 | 265 | 2004 |
| 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 | 108 | 1998 |
| 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 | 107 | 2001 |
| 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 | 101 | 2005 |
| 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 | 88 | 2003 |
| Assessing the feasibility of self organizing maps for data mining financial information T Eklund, B Back, H Vanharanta, A Visa | 51 | 2002 |
| Neural Network and Bankruptcy Prediction B Back, T Laitinen, K Sere Advances in Accounting 14, 23-37, 1994 | 47* | 1994 |
| Customer portfolio analysis using the SOM AH Holmbom, T Eklund, B Back International Journal of Business Information Systems 8 (4), 396-412, 2011 | 45 | 2011 |
| 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 | 45 | 1994 |
| Combining visual customer segmentation and response modeling Z Yao, P Sarlin, T Eklund, B Back Neural Computing and Applications 25, 123-134, 2014 | 42 | 2014 |
| 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 | 38 | 2004 |
| Analyzing financial performance with self-organizing maps B Back, K Sere, H Vanharanta 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998 | 33 | 1998 |
| Data mining accounting numbers using self-organizing maps B Back, K Sere, H Vanharanta STeP 96, 35-47, 1996 | 32 | 1996 |
| 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 | 30 | 2007 |
| Validating an expert system for financial statement planning B Back Journal of Management Information Systems 10 (3), 157-177, 1993 | 30 | 1993 |
| 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 | 29 | 2010 |
| The effect of sample size on different failure prediction methods B Back, T Laitinen, J Hekanaho, K Sere Turku Centre for Computer Science, 1997 | 29 | 1997 |
| 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 |
Tomas EklundSenior Lecturer, Adjunct Professor (Docent) in Information Systems, Uppsala UniversityVerified email at im.uu.se
