João M. M. Duarte

According to our database, João M. M. Duarte authored at least 24 papers between 2006 and 2014.

Collaborative distances:

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

2014

Constraint acquisition methods for data clustering.

João M. M. Duarte, Ana L. N. Fred, F. Jorge F. Duarte

Intell. Data Anal., 2014

Feature Extraction in Pet Images for the Diagnosis of Alzheimer's Disease.

João M. M. Duarte, Helena Aidos, Ana L. N. Fred

Proceedings of the ICPRAM 2014, 2014

Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment.

Helena Aidos, João M. M. Duarte, Ana L. N. Fred

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Diagnosing Alzheimer's Disease: Automatic Extraction and Selection of Coherent Regions in FDG-PET Images.

Helena Aidos, João M. M. Duarte, Ana L. N. Fred

Proceedings of the Biomedical Engineering Systems and Technologies, 2014

Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease.

Helena Aidos, João M. M. Duarte, Ana L. N. Fred

Proceedings of the BIOIMAGING 2014, 2014

2013

Data Clustering Validation using Constraints.

João M. M. Duarte, Ana L. N. Fred, F. Jorge F. Duarte

Proceedings of the KDIR/KMIS 2013 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, Vilamoura, Algarve, Portugal, 19, 2013

A Constraint Acquisition Method for Data Clustering.

João M. M. Duarte, Ana L. N. Fred, Fernando Jorge F. Duarte

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012

Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects' Assignments.

João M. M. Duarte, Ana L. N. Fred, F. Jorge F. Duarte

Proceedings of the Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29, 2012

Evidence Accumulation Clustering using Pairwise Constraints.

João M. M. Duarte, Ana L. N. Fred, F. Jorge F. Duarte

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 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

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

On Consensus Clustering Validation.

João M. M. Duarte, Ana L. N. Fred, André Lourenço, F. Jorge F. Duarte

Proceedings of the Structural, 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

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

Combining Data Clusterings with Instance Level Constraints.

João M. M. Duarte, Ana L. N. Fred, F. Jorge F. Duarte

Proceedings of the Pattern Recognition in Information Systems, 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

Cluster Ensemble Selection - Using Average Cluster Consistency.

F. Jorge F. Duarte, João M. M. Duarte, Fátima Rodrigues, Ana L. N. Fred

Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Average Cluster Consistency for Cluster Ensemble Selection.

F. Jorge F. Duarte, João M. M. Duarte, Ana L. N. Fred, M. Fátima C. Rodrigues

Proceedings of the Knowledge Discovery, Knowlege Engineering and Knowledge Management, 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

2006

Weighted Evidence Accumulation Clustering Using Subsampling.

F. Jorge F. Duarte, Ana L. N. Fred, Fátima Rodrigues, João M. M. Duarte, André Lourenço

Proceedings of the Pattern Recognition in Information Systems, 2006