Kelton Augusto Pontara da Costa
Kelton Augusto Pontara da Costa
Professor of Computer Science, UNESP || Senior Member IEEE
Verified email at - Homepage
Cited by
Cited by
Internet of Things: A survey on machine learning-based intrusion detection approaches
KAP Da Costa, JP Papa, CO Lisboa, R Munoz, VHC de Albuquerque
Computer Networks 151, 147-157, 2019
BBA: a binary bat algorithm for feature selection
RYM Nakamura, LAM Pereira, KA Costa, D Rodrigues, JP Papa, XS Yang
2012 25th SIBGRAPI conference on graphics, patterns and images, 291-297, 2012
A wrapper approach for feature selection based on bat algorithm and optimum-path forest
D Rodrigues, LAM Pereira, RYM Nakamura, KAP Costa, XS Yang, ...
Expert Systems with Applications 41 (5), 2250-2258, 2014
Swarm intelligence and bio-inspired computation: an overview
XS Yang, M Karamanoglu
Swarm intelligence and bio-inspired computation, 3-23, 2013
Unsupervised non-technical losses identification through optimum-path forest
LAP Júnior, CCO Ramos, D Rodrigues, DR Pereira, AN de Souza, ...
Electric Power Systems Research 140, 413-423, 2016
A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks
KAP Costa, LAM Pereira, RYM Nakamura, CR Pereira, JP Papa, ...
Information Sciences 294, 95-108, 2015
Binary bat algorithm for feature selection
RYM Nakamura, LAM Pereira, D Rodrigues, KAP Costa, JP Papa, ...
Swarm intelligence and bio-inspired computation, 225-237, 2013
An Optimum-Path Forest framework for intrusion detection in computer networks
CR Pereira, RYM Nakamura, KAP Costa, JP Papa
Engineering Applications of Artificial Intelligence 25 (6), 1226-1234, 2012
Learning parameters in deep belief networks through firefly algorithm
G Rosa, J Papa, K Costa, L Passos, C Pereira, XS Yang
Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016
On the model selection of bernoulli restricted boltzmann machines through harmony search
JP Papa, GH Rosa, KA Costa, NA Marana, W Scheirer, DD Cox
Proceedings of the companion publication of the 2015 annual conference on …, 2015
A critical literature survey and prospects on tampering and anomaly detection in image data
KAP da Costa, JP Papa, LA Passos, D Colombo, J Del Ser, K Muhammad, ...
Applied Soft Computing 97, 106727, 2020
A review of deep learning‐based approaches for deepfake content detection
LA Passos, D Jodas, KAP Costa, LA Souza Júnior, D Rodrigues, ...
Expert Systems, e13570, 2022
Unsupervised breast masses classification through optimum-path forest
PB Ribeiro, LA Passos, LA Da Silva, KAP da Costa, JP Papa, ...
2015 IEEE 28th International Symposium on Computer-Based Medical Systems …, 2015
On the training of artificial neural networks with radial basis function using optimum-path forest clustering
GH Rosa, KAP Costa, LAP Júnior, JP Papa, AX Falcao, JMRS Tavares
2014 22nd International conference on pattern recognition, 1472-1477, 2014
Uma ferramenta para execução de algoritmos utilizando o modelo a fluxo de dados dinâmico em hardware reconfigurável para a arquitetura ChipCflow: módulo de conversão C em grafo …
KAP Costa
Biblioteca Digital de Teses e Dissertações da USP, 2011
Phishing detection using URL-based XAI techniques
PRG Hernandes, CP Floret, KFC De Almeida, VC Da Silva, JP Papa, ...
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-06, 2021
Study on machine learning techniques for botnet detection
L Silva, L Utimura, K Costa, M Silva, S Prado
IEEE Latin America Transactions 18 (05), 881-888, 2020
Seam carving detection using convolutional neural networks
LFS Cieslak, KA Da Costa, J PauloPapa
2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018
Learning spam features using restricted boltzmann machines
LA da Silva, KAP da Costa, PB Ribeiro, GH de Rosa, JP Papa
IADIS International Journal on Computer Science & Information Systems 11 (1), 2016
SMS spam filtering through optimum-path forest-based classifiers
D Fernandes, KAP Da Costa, TA Almeida, JP Papa
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
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