Weighted Evidence Accumulation Clustering Using Subsampling. - F. Jorge F. Duarte; Ana L. N. Fred; Fátima Rodrigues 001; João M. M. Duarte; André Lourenço (PRIS, 2006)

Learning Manifolds for Bankruptcy Analysis. - Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; Catarina Silva 001; João Carvalho das Neves; Qingzhong Liu; Andrew H. Sung (ICONIP (1), 2008)

Improving Personal Credit Scoring with HLVQ-C. - Armando Vieira; João M. M. Duarte; Bernardete Ribeiro; João Carvalho das Neves (ICONIP (2), 2008)

Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction. - Ning Chen 003; Armando Vieira; João M. M. Duarte; Bernardete Ribeiro; João Carvalho das Neves (EPIA, 2009)

Average Cluster Consistency for Cluster Ensemble Selection. - F. Jorge F. Duarte; João M. M. Duarte; Ana L. N. Fred; M. Fátima C. Rodrigues (IC3K, 2009)

Cluster Ensemble Selection - Using Average Cluster Consistency. - F. Jorge F. Duarte; João M. M. Duarte; Fátima Rodrigues 001; Ana L. N. Fred (KDIR, 2009)

Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms. - Armando Vieira; João M. M. Duarte; Bernardete Ribeiro; João Carvalho das Neves (ICANNGA, 2009)

Combining Data Clusterings with Instance Level Constraints. - João M. M. Duarte; Ana L. N. Fred; F. Jorge F. Duarte (PRIS, 2009)

Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. - Fernando Mendes; João M. M. Duarte; Armando Vieira; António Gaspar-Cunha (WSC, 2009)

Weighted Learning Vector Quantization to Cost-Sensitive Learning. - Ning Chen 003; Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; João Carvalho das Neves (ICANN (3), 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 (SEAL, 2010)

On Consensus Clustering Validation. - João M. M. Duarte; Ana L. N. Fred; André Lourenço; F. Jorge F. Duarte (SSPR/SPR, 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)

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction. - Ning Chen 003; Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; João Carvalho das Neves (Expert Syst. Appl., 2011)

A stable credit rating model based on learning vector quantization. - Ning Chen 003; Armando Vieira; Bernardete Ribeiro; João M. M. Duarte; João Carvalho das Neves (Intell. Data Anal., 2011)

Evidence Accumulation Clustering using Pairwise Constraints. - João M. M. Duarte; Ana L. N. Fred; F. Jorge F. Duarte (KDIR, 2012)

Adaptive Evidence Accumulation Clustering Using the Confidence of the Objects' Assignments. - João M. M. Duarte; Ana L. N. Fred; F. Jorge F. Duarte (PAKDD Workshops, 2012)

A Constraint Acquisition Method for Data Clustering. - João M. M. Duarte; Ana L. N. Fred; Fernando Jorge F. Duarte (CIARP (1), 2013)

Data Clustering Validation using Constraints. - João M. M. Duarte; Ana L. N. Fred; F. Jorge F. Duarte (KDIR/KMIS, 2013)

Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease. - Helena Aidos; João M. M. Duarte; Ana L. N. Fred (BIOIMAGING, 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 (BIOSTEC (Selected Papers), 2014)

Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment. - Helena Aidos; João M. M. Duarte; Ana L. N. Fred (ICIP, 2014)

Feature Extraction in Pet Images for the Diagnosis of Alzheimer's Disease. - João M. M. Duarte; Helena Aidos; Ana L. N. Fred (ICPRAM, 2014)

Constraint acquisition methods for data clustering. - João M. M. Duarte; Ana L. N. Fred; F. Jorge F. Duarte (Intell. Data Anal., 2014)