João Paulo Pordeus Gomes

◀ ▶ joint publications with Alisson S. C. Alencar

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Publications

2022
[j28]
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Alisson S. C. Alencar, César L. C. Mattos, João P. P. Gomes, Diego Mesquita:
Bayesian Multilateration. IEEE Signal Process. Lett. 29: 962-966 (2022)
2019
[i1]
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  - journals/corr/abs-1909-09978
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Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes:
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection. CoRR abs/1909.09978 (2019)
2018
[c34]
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  - conf/bracis/OliveiraBAGR18
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Diego Farias de Oliveira, Nykolas Mayko Maia Barbosa, Alisson Sampaio Carvalho de Alencar, João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues:
Minimal Learning Machine for Interval-Valued Data. BRACIS 2018: 188-193
2016
[j5]
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  - journals/asc/AlencarNG16
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Alisson S. C. Alencar, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes:
A new pruning method for extreme learning machines via genetic algorithms. Appl. Soft Comput. 44: 101-107 (2016)
2015
[c8]
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  - conf/bracis/AlencarCGSARFCA15
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Alisson S. C. Alencar, Weslley L. Caldas, João Paulo Pordeus Gomes, Amauri H. de Souza, Paulo A. C. Aguilar, Cristiano Rodrigues, Wellington Franco, Miguel F. de Castro, Rossana M. C. Andrade:
MLM-rank: A Ranking Algorithm Based on the Minimal Learning Machine. BRACIS 2015: 305-309
2014
[c3]
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  - conf/bracis/AlencarGSFSAC14
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Alisson S. C. Alencar, João Paulo Pordeus Gomes, Amauri H. de Souza, Livio A. M. Freire, José Wellington Franco da Silva, Rossana M. C. Andrade, Miguel F. de Castro:
Regularized Supervised Distance Preserving Projections for Short-Text Classification. BRACIS 2014: 216-221

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