8
H index
7
i10 index
208
Citations
Groupe EDHEC (École de Hautes Études Commerciales du Nord) | 8 H index 7 i10 index 208 Citations RESEARCH PRODUCTION: 6 Articles 11 Papers RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Philippe du Jardin. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
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European Journal of Operational Research | 4 |
Working Papers Series with more than one paper published | # docs |
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MPRA Paper / University Library of Munich, Germany | 8 |
Post-Print / HAL | 3 |
Year ![]() | Title of citing document ![]() |
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2024 | Does the establishment of bankruptcy courts affect the risk of corporate collapse?. (2024). Zhan, Shiyuan ; Lin, Chuanlin. In: International Review of Financial Analysis. RePEc:eee:finana:v:96:y:2024:i:pb:s1057521924007245. Full description at Econpapers || Download paper |
2024 | . Full description at Econpapers || Download paper |
2024 | Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk. (2024). Riccioni, Jessica ; Maggi, Mario ; Cerqueti, Roy. In: Annals of Operations Research. RePEc:spr:annopr:v:342:y:2024:i:3:d:10.1007_s10479-022-04742-z. Full description at Econpapers || Download paper |
2024 | Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data. (2024). Chang, Ming-Feng ; Sun, Edward W ; Lin, Yi-Bing. In: Annals of Operations Research. RePEc:spr:annopr:v:343:y:2024:i:3:d:10.1007_s10479-023-05223-7. Full description at Econpapers || Download paper |
2025 | Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework. (2025). Wang, YU ; Xu, Wei ; Gao, Ruize ; Cui, Shaoze. In: Financial Innovation. RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-024-00745-w. Full description at Econpapers || Download paper |
Year ![]() | Title ![]() | Type ![]() | Cited ![]() |
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2012 | Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time In: European Journal of Operational Research. [Full Text][Citation analysis] | article | 27 |
2012 | Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time.(2012) In: MPRA Paper. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 27 | paper | |
2015 | Bankruptcy prediction using terminal failure processes In: European Journal of Operational Research. [Full Text][Citation analysis] | article | 37 |
2016 | A two-stage classification technique for bankruptcy prediction In: European Journal of Operational Research. [Full Text][Citation analysis] | article | 29 |
2021 | Forecasting corporate failure using ensemble of self-organizing neural networks In: European Journal of Operational Research. [Full Text][Citation analysis] | article | 5 |
2012 | Forecasting financial failure using a Kohonen map: a comparative study to improve bankruptcy model over time In: Post-Print. [Citation analysis] | paper | 25 |
2011 | Predicting Corporate Bankruptcy Using Self-Organising map: An empirical study to Improve the Forecasting horizon of financial failure model In: Post-Print. [Citation analysis] | paper | 21 |
2011 | Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model.(2011) In: MPRA Paper. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 21 | paper | |
2011 | Dividend policy In: Post-Print. [Citation analysis] | paper | 9 |
2011 | Dividend policy.(2011) In: MPRA Paper. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 9 | paper | |
2019 | Forecasting Corporate Bankruptcy Using Accrual-Based Models In: Computational Economics. [Full Text][Citation analysis] | article | 6 |
2010 | Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy In: MPRA Paper. [Full Text][Citation analysis] | paper | 30 |
2010 | Dynamic analysis of the business failure process: A study of bankruptcy trajectories In: MPRA Paper. [Full Text][Citation analysis] | paper | 2 |
2009 | Bankruptcy prediction models: How to choose the most relevant variables? In: MPRA Paper. [Full Text][Citation analysis] | paper | 10 |
2012 | The influence of variable selection methods on the accuracy of bankruptcy prediction models In: MPRA Paper. [Full Text][Citation analysis] | paper | 3 |
2008 | Bankruptcy prediction and neural networks: The contribution of variable selection methods In: MPRA Paper. [Full Text][Citation analysis] | paper | 0 |
2021 | Forecasting bankruptcy using biclustering and neural network-based ensembles In: Annals of Operations Research. [Full Text][Citation analysis] | article | 4 |
CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated February, 4 2025. Contact: CitEc Team