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Gomes, João L. P.
14066  Ergebnisse:
Personensuche X
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1

Bayesian Multilateration:

Alencar, Alisson S. C. ; Mattos, Cesar L. C. ; Gomes, Joao P. P..
IEEE Signal Processing Letters.  29 (2022)  - p. 962-966 , 2022
Link: https://doi.org/10.1109/..
 
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2

Self-tuning portfolio-based Bayesian optimization:

Vasconcelos, Thiago de P. ; de Souza, Daniel Augusto R.M.A. ; Virgolino, Gustavo C. de M...
Expert Systems with Applications.  188 (2022)  - p. 115847 , 2022
Link: https://doi.org/10.1016/..
 
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3

On the design of a similarity function for sparse binary da..:

Veras, Marcelo B.A. ; Sarker, Bishnu ; Aridhi, Sabeur...
Knowledge-Based Systems.  238 (2022)  - p. 107863 , 2022
Link: https://doi.org/10.1016/..
 
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4

A new perspective for Minimal Learning Machines: A lightwei..:

Florêncio, José A.V. ; Oliveira, Saulo A.F. ; Gomes, João P.P..
Neurocomputing.  401 (2020)  - p. 308-319 , 2020
Link: https://doi.org/10.1016/..
 
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5

Gaussian kernels for incomplete data:

Mesquita, Diego P.P. ; Gomes, João P.P. ; Corona, Francesco..
Applied Soft Computing.  77 (2019)  - p. 356-365 , 2019
Link: https://doi.org/10.1016/..
 
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6

A sparse linear regression model for incomplete datasets:

Veras, Marcelo B. A. ; Mesquita, Diego P. P. ; Mattos, Cesar L. C..
Pattern Analysis and Applications.  23 (2019)  3 - p. 1293-1303 , 2019
Link: https://doi.org/10.1007/..
 
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7

No-PASt-BO: Normalized Portfolio Allocation Strategy for Ba..:

, In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI),
Vasconcelos, Thiago de P. ; de Souza, Daniel A. R. M. A. ; Mattos, Cesar L. C.. - p. 561-568 , 2019
Link: https://doi.org/10.1109/..
 
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8

OnMLM: An Online Formulation for the Minimal Learning Machi..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
Matias, Alan L. S. ; Mattos, César L. C. ; Kärkkäinen, Tommi.. - p. 557-568 , 2019
Link: https://doi.org/10.1007/..
 
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9

A bi-directional evaluation-based approach for image retarg..:

Oliveira, Saulo A.F. ; Alves, Shara S.A. ; Gomes, João P.P..
Computer Vision and Image Understanding.  168 (2018)  - p. 172-181 , 2018
Link: https://doi.org/10.1016/..
 
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10

Sparse Minimal Learning Machines Via L_1/2 Norm Regularizat..:

, In: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS),
Dias, Madson L.D. ; Freire, Ananda L. ; Souza, Amauri H... - p. 206-211 , 2018
Link: https://doi.org/10.1109/..
 
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11

Sparse Least-Squares Support Vector Machines via Accelerate..:

Oliveira, Saulo A.F. ; Gomes, João P.P. ; Rocha Neto, Ajalmar R.
Neurocomputing.  321 (2018)  - p. 308-320 , 2018
Link: https://doi.org/10.1016/..
 
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12

Optimally Selected Minimal Learning Machine:

, In: Intelligent Data Engineering and Automated Learning – IDEAL 2018; Lecture Notes in Computer Science,
Maia, Átilla N. ; Dias, Madson L. D. ; Gomes, João P. P.. - p. 670-678 , 2018
Link: https://doi.org/10.1007/..
 
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13

A Rough Sets-Based Rule Induction for Numerical Datasets:

, In: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS),
Silva, Rafael ; Alcantara, Joao ; Gomes, Joao P. P. - p. 510-515 , 2018
Link: https://doi.org/10.1109/..
 
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14

Ensemble of Efficient Minimal Learning Machines for Classif..:

Mesquita, Diego P. P. ; Gomes, João P. P. ; Souza Junior, Amauri H.
Neural Processing Letters.  46 (2017)  3 - p. 751-766 , 2017
Link: https://doi.org/10.1007/..
 
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15

Fast Co-MLM: An Efficient Semi-supervised Co-training Metho..:

Caldas, Weslley L. ; Gomes, João P. P. ; Mesquita, Diego P. P.
New Generation Computing.  36 (2017)  1 - p. 41-58 , 2017
Link: https://doi.org/10.1007/..
 
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