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2010 – 2019
- 2016
[i2]Armando Vieira:
Knowledge Representation in Graphs using Convolutional Neural Networks. CoRR abs/1612.02255 (2016)- 2015
- [i1]Armando Vieira:
Predicting online user behaviour using deep learning algorithms. CoRR abs/1511.06247 (2015) - 2013
- [j7]Ning Chen
, Bernardete Ribeiro, Armando Vieira, An Chen:
Clustering and visualization of bankruptcy trajectory using self-organizing map. Expert Syst. Appl. 40(1): 385-393 (2013) - 2012
- [j6]Bernardete Ribeiro, Catarina Silva, Ning Chen, Armando Vieira, João Carvalho das Neves:
Enhanced default risk models with SVM+. Expert Syst. Appl. 39(11): 10140-10152 (2012) - [c19]Armando Vieira, Bernardete Ribeiro, Ning Chen:
Credit Scoring for SME Using a Manifold Supervised Learning Algorithm. IDEAL 2012: 763-770 - 2011
- [j5]Ning Chen, Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, João Carvalho das Neves:
A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. Expert Syst. Appl. 38(10): 12939-12945 (2011) - [j4]Ning Chen, Armando Vieira, Bernardete Ribeiro, João M. M. Duarte, João Carvalho das Neves:
A stable credit rating model based on learning vector quantization. Intell. Data Anal. 15(2): 237-250 (2011) - [c18]Ning Chen, Bernardete Ribeiro, Armando Vieira:
Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map. EPIA 2011: 407-417 - 2010
- [j3]António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves:
Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. Int. J. Nat. Comput. Res. 1(2): 71-91 (2010) - [c17]Ning Chen, Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, João Carvalho das Neves:
Weighted Learning Vector Quantization to Cost-Sensitive Learning. ICANN (3) 2010: 277-281 - [c16]Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves:
Financial distress model prediction using SVM+. IJCNN 2010: 1-7 - [c15]António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves:
Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. SEAL 2010: 319-328
2000 – 2009
- 2009
- [c14]Ning Chen, Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves:
Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. EPIA 2009: 374-385 - [c13]Ning Chen, Armando Vieira:
Bankruptcy Prediction based on Independent Component Analysis. ICAART 2009: 150-155 - [c12]Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves:
Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. ICANNGA 2009: 537-547 - [c11]Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves:
Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. ICANNGA 2009: 569-576 - [c10]Fernando Mendes, João M. M. Duarte, Armando Vieira, António Gaspar-Cunha:
Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. WSC 2009: 109-115 - 2008
- [c9]Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves:
Supervised Isomap with Dissimilarity Measures in Embedding Learning. CIARP 2008: 389-396 - [c8]Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves:
Improving Personal Credit Scoring with HLVQ-C. ICONIP (2) 2008: 97-103 - [c7]Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, Catarina Silva, João Carvalho das Neves, Qingzhong Liu, Andrew H. Sung:
Learning Manifolds for Bankruptcy Analysis. ICONIP (1) 2008: 723-730 - 2006
- [c6]Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves:
Sparse Bayesian Models: Bankruptcy-Predictors of Choice? IJCNN 2006: 3377-3381 - 2005
- [j2]António Gaspar-Cunha, Armando Vieira:
A Multi-Objective Evolutionary Algorithm Using Neural Networks to Approximate Fitness Evaluations. Int. J. Comput. Syst. Signals 6(1): 18-36 (2005) - [c5]Armando Vieira:
An Iterative Artificial Neural Network for High Dimensional Data Analysis. ICANN (2) 2005: 691-696 - [c4]Armando Vieira, Baldomero Oliva:
Protein Loop Classification Using Artificial Neural Networks. BSB 2005: 222-225 - 2004
- [c3]António Gaspar-Cunha, Armando Vieira:
A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network. Hybrid Metaheuristics 2004: 25-30 - [c2]Armando Vieira, Lúcia Costa, Pedro Amaro, Luís Amorim, Paulo Nunes, Margarida Pina:
Arquitectura Empresarial e Sistemas de Gestão da Qualidade. QUATIC 2004: 41-44 - 2003
- [j1]Armando Vieira, Nuno Pessoa Barradas:
A training algorithm for classification of high-dimensional data. Neurocomputing 50: 461-472 (2003) - [c1]Armando Vieira, Pedro Ángel Castillo Valdivieso, Juan Julián Merelo Guervós:
Application of HLVQ and G-Prop Neural Networks to the Problem of Bankruptcy Prediction. IWANN (2) 2003: 655-662
Coauthor Index
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