Armando Vieira

According to our database, Armando Vieira authored at least 28 papers between 2003 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Knowledge Representation in Graphs using Convolutional Neural Networks.

Armando Vieira

CoRR, 2016

2015

Predicting online user behaviour using deep learning algorithms.

Armando Vieira

CoRR, 2015

2013

Clustering and visualization of bankruptcy trajectory using self-organizing map.

Ning Chen, Bernardete Ribeiro, Armando Vieira, An Chen

Expert Syst. Appl., 2013

2012

Enhanced default risk models with SVM+.

Bernardete Ribeiro, Catarina Silva, Ning Chen, Armando Vieira, João Carvalho das Neves

Expert Syst. Appl., 2012

Credit Scoring for SME Using a Manifold Supervised Learning Algorithm.

Armando Vieira, Bernardete Ribeiro, Ning Chen

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011

A stable credit rating model based on learning vector quantization.

Ning Chen, Armando Vieira, Bernardete Ribeiro, João M. M. Duarte, João Carvalho das Neves

Intell. Data Anal., 2011

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction.

Ning Chen, Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, João Carvalho das Neves

Expert Syst. Appl., 2011

Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map.

Ning Chen, Bernardete Ribeiro, Armando Vieira

Proceedings of the Progress in Artificial Intelligence, 2011

2010

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach.

António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves

Int. J. Nat. Comput. Res., 2010

Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction.

António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Financial distress model prediction using SVM+.

Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves

Proceedings of the International Joint Conference on Neural Networks, 2010

Weighted Learning Vector Quantization to Cost-Sensitive Learning.

Ning Chen, Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, João Carvalho das Neves

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach.

Fernando Mendes, João M. M. Duarte, Armando Vieira, António Gaspar-Cunha

Proceedings of the Soft Computing in Industrial Applications, 2009

Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms.

Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data.

Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Bankruptcy Prediction based on Independent Component Analysis.

Ning Chen, Armando Vieira

Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction.

Ning Chen, Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves

Proceedings of the Progress in Artificial Intelligence, 2009

2008

Improving Personal Credit Scoring with HLVQ-C.

Armando Vieira, João M. M. Duarte, Bernardete Ribeiro, João Carvalho das Neves

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Learning Manifolds for Bankruptcy Analysis.

Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, Catarina Silva, João Carvalho das Neves, Qingzhong Liu, Andrew H. Sung

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Supervised Isomap with Dissimilarity Measures in Embedding Learning.

Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves

Proceedings of the Progress in Pattern Recognition, 2008

2006

Sparse Bayesian Models: Bankruptcy-Predictors of Choice?

Bernardete Ribeiro, Armando Vieira, João Carvalho das Neves

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A Multi-Objective Evolutionary Algorithm Using Neural Networks to Approximate Fitness Evaluations.

António Gaspar-Cunha, Armando Vieira

Int. J. Comput. Syst. Signals, 2005

Protein Loop Classification Using Artificial Neural Networks.

Armando Vieira, Baldomero Oliva

Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

An Iterative Artificial Neural Network for High Dimensional Data Analysis.

Armando Vieira

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

Arquitectura Empresarial e Sistemas de Gestão da Qualidade.

Armando Vieira, Lúcia Costa, Pedro Amaro, Luís Amorim, Paulo Nunes, Margarida Pina

Proceedings of the 5th International Conference on the Quality of Information and Communications Technology, 2004

A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network.

António Gaspar-Cunha, Armando Vieira

Proceedings of the Hybrid Metaheuristics, First International Workshop, 2004

2003

A training algorithm for classification of high-dimensional data.

Armando Vieira, Nuno Pessoa Barradas

Neurocomputing, 2003

Application of HLVQ and G-Prop Neural Networks to the Problem of Bankruptcy Prediction.

Armando Vieira, Pedro Ángel Castillo Valdivieso, Juan Julián Merelo Guervós

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003