João Manuel Maia Duarte


AuthID: R-000-74X

Publicações Confirmadas: 24



11
TÍTULO: A stable credit rating model based on learning vector quantization  Full Text
AUTORES: Chen, N; Vieira, A; Bernardete Ribeiro ; Duarte, J ; Neves, J ;
PUBLICAÇÃO: 2011, FONTE: INTELLIGENT DATA ANALYSIS, VOLUME: 15, NÚMERO: 2
INDEXADO EM: Scopus WOS DBLP CrossRef: 10
NO MEU: ORCID
12
TÍTULO: Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach
AUTORES: Mendes, F; Duarte, J ; Vieira, A; Gaspar Cunha, A ;
PUBLICAÇÃO: 2010, FONTE: 14th Online World Conference on Soft Computing in Industrial Applications in SOFT COMPUTING IN INDUSTRIAL APPLICATIONS - ALGORITHMS, INTEGRATION, AND SUCCESS STORIES, VOLUME: 75
INDEXADO EM: Scopus WOS CrossRef Handle
NO MEU: ORCID
13
TÍTULO: Hybrid genetic algorithm and learning vector quantization modeling for cost-sensitive bankruptcy prediction
AUTORES: Chen, N; Bernardete Ribeiro ; Vieira, AS; Duarte, J ; Neves, JC ;
PUBLICAÇÃO: 2010, FONTE: 2010 The 2nd International Conference on Machine Learning and Computing, ICMLC 2010 in ICMLC 2010 - The 2nd International Conference on Machine Learning and Computing
INDEXADO EM: Scopus CrossRef: 3
NO MEU: ORCID
14
TÍTULO: Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction
AUTORES: Gaspar Cunha, A ; Mendes, F; Duarte, J ; Vieira, A; Bernardete Ribeiro ; Ribeiro, A; Neves, J ;
PUBLICAÇÃO: 2010, FONTE: 8th International Conference of Simulated Evolution and Learning in SIMULATED EVOLUTION AND LEARNING, VOLUME: 6457
INDEXADO EM: Scopus WOS DBLP CrossRef Handle
NO MEU: ORCID
15
TÍTULO: Weighted Learning Vector Quantization to Cost-Sensitive Learning
AUTORES: Ning Chen; Bernardete Ribeiro ; Armando Vieira; Joao Duarte ; Joao Neves ;
PUBLICAÇÃO: 2010, FONTE: 20th International Conference on Artificial Neural Networks in ARTIFICIAL NEURAL NETWORKS (ICANN 2010), PT III, VOLUME: 6354, NÚMERO: PART 3
INDEXADO EM: Scopus WOS DBLP CrossRef: 5
NO MEU: ORCID
16
TÍTULO: Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms  Full Text
AUTORES: Armando S Vieira; Joao Duarte ; Bernardete Ribeiro ; Joao C Neves ;
PUBLICAÇÃO: 2009, FONTE: 9th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) in ADAPTIVE AND NATURAL COMPUTING ALGORITHMS, VOLUME: 5495
INDEXADO EM: Scopus WOS DBLP CrossRef: 6
NO MEU: ORCID
17
TÍTULO: Combining Data Clusterings with Instance Level Constraints
AUTORES: Joao M M Duarte ; Ana L N Fred ; Jorge J F Duarte;
PUBLICAÇÃO: 2009, FONTE: 9th International Workshop on Pattern Recognition in Information Systems (PRIS 2009) in PATTERN RECOGNITION IN INFORMATION SYSTEMS, PROCEEDINGS
INDEXADO EM: Scopus WOS
NO MEU: ORCID
18
TÍTULO: Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction
AUTORES: Ning Chen; Armando Vieira; João Duarte ; Bernardete Ribeiro ; João Carvalho das Neves ;
PUBLICAÇÃO: 2009, FONTE: 14th Portuguese Conference on Artificial Intelligence, EPIA 2009 in Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Aveiro, Portugal, October 12-15, 2009. Proceedings, VOLUME: 5816
INDEXADO EM: Scopus DBLP CrossRef: 6
NO MEU: ORCID
19
TÍTULO: Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction
AUTORES: Ning Chen; Armando S Vieira; Joao Duarte ; Bernardete Ribeiro ; Joao C Neves ;
PUBLICAÇÃO: 2009, FONTE: 14th Portuguese Conference on Artificial Intelligence in PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, VOLUME: 5816
INDEXADO EM: WOS
20
TÍTULO: Cost-Sensitive LVQ for Bankruptcy Prediction: An Empirical Study
AUTORES: Ning Chen; Armando Vieira; Joao Duarte ;
PUBLICAÇÃO: 2009, FONTE: 2nd IEEE International Conference on Computer Science and Information Technology in 2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 5
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
Página 2 de 3. Total de resultados: 24.

Um espaço para investigadores e suas Instituições

Links Úteis

Ajuda

© 2024 CRACS & Inesc TEC - All Rights Reserved Política de Privacidade | Terms of Service