João Manuel Maia Duarte
João Manuel Maia Duarte
SessionCam Ltd
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TitleCited byYear
A genetic algorithm-based approach to cost-sensitive bankruptcy prediction
N Chen, B Ribeiro, AS Vieira, J Duarte, JC Neves
Expert Systems with Applications 38 (10), 12939-12945, 2011
A data-mining-based methodology to support MV electricity customers’ characterization
S Ramos, JM Duarte, FJ Duarte, Z Vale
Energy and Buildings 91, 16-25, 2015
Typical load profiles in the smart grid context—A clustering methods comparison
S Ramos, JMM Duarte, J Soares, Z Vale, FJ Duarte
2012 IEEE Power and Energy Society General Meeting, 1-8, 2012
Adaptive model rules from high-speed data streams
J Duarte, J Gama, A Bifet
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 1-22, 2016
Learning manifolds for bankruptcy analysis
B Ribeiro, A Vieira, J Duarte, C Silva, JC Das Neves, Q Liu, AH Sung
International conference on neural information processing, 723-730, 2008
Ensembles of adaptive model rules from high-speed data streams
J Duarte, J Gama
Proceedings of the 3rd International Workshop on Big Data, Streams and …, 2014
Weighted Evidence Accumulation Clustering Using Subsampling.
FJF Duarte, ALN Fred, F Rodrigues, JMM Duarte, A Lourenço
PRIS, 104-116, 2006
Multi-target regression from high-speed data streams with adaptive model rules
J Duarte, J Gama
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
Accurate prediction of financial distress of companies with machine learning algorithms
AS Vieira, J Duarte, B Ribeiro, JC Neves
International Conference on Adaptive and Natural Computing Algorithms, 569-576, 2009
Hybrid genetic algorithm and learning vector quantization modeling for cost-sensitive bankruptcy prediction
N Chen, B Ribeiro, AS Vieira, J Duarte, JC Neves
2010 Second International Conference on Machine Learning and Computing, 213-217, 2010
Cost-sensitive LVQ for bankruptcy prediction: An empirical study
N Chen, A Vieira, J Duarte
2009 2nd IEEE International Conference on Computer Science and Information …, 2009
Cost-sensitive learning vector quantization for financial distress prediction
N Chen, AS Vieira, J Duarte, B Ribeiro, JC Neves
Portuguese Conference on Artificial Intelligence, 374-385, 2009
A data mining framework for electric load profiling
S Ramos, JM Duarte, FJ Duarte, Z Vale, P Faria
2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin …, 2013
A stable credit rating model based on learning vector quantization
N Chen, A Vieira, B Ribeiro, J Duarte, J Neves
Intelligent Data Analysis 15 (2), 237-250, 2011
Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment
H Aidos, J Duarte, A Fred
2014 IEEE International Conference on Image Processing (ICIP), 21-25, 2014
Daily wind power profiles determination using clustering algorithms
FJ Duarte, JMM Duarte, S Ramos, A Fred, Z Vale
2012 IEEE International Conference on Power System Technology (POWERCON), 1-6, 2012
On consensus clustering validation
JMM Duarte, ALN Fred, A Lourenço, FJF Duarte
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2010
Multi-objective evolutionary algorithms for feature selection: application in bankruptcy prediction
A Gaspar-Cunha, F Mendes, J Duarte, A Vieira, B Ribeiro, A Ribeiro, ...
Asia-Pacific Conference on Simulated Evolution and Learning, 319-328, 2010
Weighted learning vector quantization to cost-sensitive learning
N Chen, B Ribeiro, A Vieira, J Duarte, J Neves
International Conference on Artificial Neural Networks, 277-281, 2010
Cluster Ensemble Selection-Using Average Cluster Consistency.
FJF Duarte, JMM Duarte, F Rodrigues, ALN Fred
KDIR, 85-95, 2009
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