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José A. F. de Macêdo

◀ ▶ joint publications with Leopoldo Melo Junior

> Home > Persons > José A. F. de Macêdo

Publications

2021
[c117]
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  dblp key:
  - conf/flairs/FreitasSMJ21
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  - https://dblp.org/rec/conf/flairs/FreitasSMJ21
Nicksson Ckayo Arrais de Freitas, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Leopoldo Melo Junior:
Using deep learning for trajectory classification in imbalanced dataset. FLAIRS 2021
[c116]
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Nicksson C. A. Freitas, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Leopoldo Melo Junior, Matheus G. Cordeiro:
Using Deep Learning for Trajectory Classification. ICAART (2) 2021: 664-671
[c114]
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  - conf/ictai/JuniorMNR21
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Leopoldo Melo Junior, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Chiara Renso:
RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. ICTAI 2021: 823-830
2020
[j19]
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  - journals/eswa/JuniorNRTM20
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Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, Roberto Trani, José Antônio Fernandes de Macêdo:
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems. Expert Syst. Appl. 152: 113351 (2020)
[c106]
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  - conf/icaart/TrentiniSJM20
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Erick L. Trentini, Ticiana L. Coelho da Silva, Leopoldo Melo Junior, José A. F. de Macêdo:
Model-centered Ensemble for Anomaly Detection in Time Series. ICAART (2) 2020: 700-707
2019
[c95]
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  - conf/icmla/JuniorNRM19
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Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo:
An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. ICMLA 2019: 747-754
[c94]
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Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José A. F. de Macêdo:
KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. ICTAI 2019: 424-431
[c88]
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Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo:
On combining dynamic selection, sampling, and pool generators for credit scoring. MLDM (2) 2019: 443-457

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