Here you can consult publications regarding the research from which this application is built upon. For more information, you can click on a link, or hover the mouse over an author's name.
Gaspar-Cunha, A., Mendes, F., Duarte, J., Vieira, A.S., Ribeiro, B., Ribeiro, A. and Neves, J.C.: Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach, International Journal of Natural Computing Research, 1(2), 71-91, April-June 2010
Ribeiro, B.,Silva, C.,Vieira, A.S., Gaspar-Cunha, A. and Neves, J.C.: “Financial Distress Model Prediction using SVM+”, accepted at World Conference on Computational Information, Barcelona, 2010
Chen, N., Vieira, A.S., Duarte, J.,Ribeiro, B. and Neves, J.C.: A stable credit rating model based on LVQ. (submission to ICAART2010)
Chen, N., Vieira, A.S., Duarte, J.,Ribeiro, B. and Neves, J.C.: Cost-sensitive learning vector quantization for financial distress prediction. EPIA'09-14th Portuguese Conference on Artificial Intelligence, 12-15 Oct. 2009, Aveiro, Portugal, Luis Seabra Lopes et. al. (eds.), Lecture Notes in Artificial Intelligence (LNAI 5816), Springer
Chen, N., Vieira, A.S., Duarte, J.: Cost-sensitive LVQ for bankruptcy prediction: an empirical study. Wenzhang Li, Jianhong Zhou (eds.), Proceedings of 2nd IEEE International Conference on Computer Science and Information Technology, 8-11 August 2009, Beijing, China, p115-119
Chen, N., Vieira, A.S.: Bankruptcy prediction based on independent component analysis. Proceedings of International Conference on Agents and Arti¯cial Intelligence (ICAART09),19-21 January, 2009, Porto, Portugal, p150-155
Ribeiro, B., Silva, C., Vieira, A., Neves, J., "Extracting Discriminative Features Using Non-Negative Matrix Factorization in Financial Distress Data", Proc. of the Int. Conf. on Adaptive and Natural Computing Algorithms, ICANNGA 2009, M. Kolehmainen et al. (Eds.), Lecture Notes in Computer Science (LNCS), Part II, LNCS 4432, Springer-Verlag Berlin Heidelberg, Kuopio, Finland, April, 2009
Vieira, A., Duarte, J., Ribeiro, B. and Neves, J., "Accurate Prediction of Financial Distress with Machine Learning Algorithms" Proc. of the Int Conf on Adaptive and Natural Computing Algorithms, ICANNGA 2009, M. Kolehmainen et al. (Eds.), Lecture Notes in Computer Science (LNCS), Part II, LNCS 4432, Springer-Verlag Berlin Heidelberg, Kuopio, Finland, April, 2009
Ribeiro, B., Vieira, A., Duarte, J., Silva, C., Neves, J., Liu, Q., Sung, A., M. Köppen et al. (Eds.):"Learning Manifolds for Bankruptcy Analysis", ICONIP 2008, Part I, LNCS 5506, pp. 722?729, Springer-Verlag Berlin Heidelberg, 2009
Vieira, A., Duarte, J., Ribeiro, B., Neves, J., Köppen, M. et al., "Improving Personal Credit Scoring with HLVQ-C", (Eds.): ICONIP 2008, Part I, LNCS 5506, Springer-Verlag Berlin Heidelberg, 2009
Ribeiro, B. and Vieira, A. and Neves, J., "Supervised Isomap with Dissimilarity Measures in Embedding Learning", in Proc. of the Ibero-American Conference on Pattern Recognition, Progress in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science (LNCS),Springer Berlin / Heidelberg, pp. 389-396, Vol. 5197, September 2008
Vieira, A., Ribeiro, B. and Neves, J.,Improving Bankruptcy Prediction with Hidden Layer Learning Vector Quantization, European Accounting Review, Vol. 15, No. 2. (2006), pp. 253-271
Ribeiro, B. and Vieira, A. and Neves, J., "Sparse Bayesian Classifiers: Bankruptcy-Predictors of Choice?", World Congress On Computational Intelligence, IEEE-IJCNN, Vancouver, Canada, July 2006
Mukkamala, S., Sung, A., Ribeiro, B., Vieira, A. and Neves, J., Model Selection and Feature Ranking for Financial Distress Classification, in Proc. of the ICEIS 2006, INSTICC - Institute for Systems and Technologies of Information, Control and Communication, 8th International Conference on Enterprise Information Systems (ICEIS 2006), Cyprus, May 2006
Vieira, A. and Neves, J., Improving Bankruptcy Prediction with Hidden Layer Learning Vector Quantization, European Accounting Review 15 (2), 253-271 (2006).
Mukkamala, S., Sung, A., Ribeiro, B., Vieira, A., Computational Intelligent Techniques for Financial Distress Detection, Journal of Computational Intelligence Research (IJCIR), Vol. 2, # 1, pp. 60-65, Research India Publications, January 2006
Mukkamala, S., Sung, A., Vieira, A. and Neves, J., "Are Neural Networks The Best Predictors For Bankruptcy Detection?", The 12th International Conference on Neural Information Processing, Oct 30, Taipei, Taiwan (2005).
Vieira, A. and Neves, J. and Ribeiro, B., "A Method to Improve Generalization of Neural Networks: Application to the Problem of Bankruptcy Prediction", in Proc. of the 7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA05), pp. 417-420, International Conference on Adaptive and Natural Computing Algorithms, Coimbra, Portugal, March 2005
Vieira, A., Ribeiro, B., Mukkamala, S., Neves, J., Sung, A., On the Performance of Learning Machines for Bankruptcy Detection, in Proc. of the Second IEEE International Conference on Computational Cybernetics, pp. 323-327, International Conference on Computational Cybernetics, Vienna, Austria, August 2004