Mahardhika Pratama
Mahardhika Pratama
Associate Professor-Level Enterprise Fellow, STEM, University of South Australia
Verified email at - Homepage
Cited by
Cited by
PANFIS: A novel incremental learning machine
M Pratama, SG Anavatti, PP Angelov, E Lughofer
IEEE Transactions on Neural Networks and Learning Systems 25 (1), 55-68, 2013
GENEFIS: Toward an effective localist network
M Pratama, SG Anavatti, E Lughofer
IEEE Transactions on Fuzzy Systems 22 (3), 547-562, 2013
Generalized smart evolving fuzzy systems
E Lughofer, C Cernuda, S Kindermann, M Pratama
Evolving Systems 6 (4), 269-292, 2015
An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks
M Pratama, J Lu, E Lughofer, G Zhang, MJ Er
IEEE Transactions on Fuzzy Systems 25 (5), 1175-1192, 2016
Attention pooling-based convolutional neural network for sentence modelling
MJ Er, Y Zhang, N Wang, M Pratama
Information Sciences 373, 388-403, 2016
Evolving type-2 fuzzy classifier
M Pratama, J Lu, G Zhang
IEEE Transactions on Fuzzy Systems 24 (3), 574-589, 2015
pClass: an effective classifier for streaming examples
M Pratama, SG Anavatti, M Joo, ED Lughofer
IEEE Transactions on Fuzzy Systems 23 (2), 369-386, 2014
An incremental meta-cognitive-based scaffolding fuzzy neural network
M Pratama, J Lu, S Anavatti, E Lughofer, CP Lim
Neurocomputing 171, 89-105, 2016
Evolving ensemble fuzzy classifier
M Pratama, W Pedrycz, E Lughofer
IEEE Transactions on Fuzzy Systems 26 (5), 2552-2567, 2018
Online active learning in data stream regression using uncertainty sampling based on evolving generalized fuzzy models
E Lughofer, M Pratama
IEEE Transactions on fuzzy systems 26 (1), 292-309, 2017
Scaffolding type-2 classifier for incremental learning under concept drifts
M Pratama, J Lu, E Lughofer, G Zhang, S Anavatti
Neurocomputing 191, 304-329, 2016
Recurrent classifier based on an incremental metacognitive-based scaffolding algorithm
M Pratama, SG Anavatti, J Lu
IEEE Transactions on Fuzzy Systems 23 (6), 2048-2066, 2015
Multiview convolutional neural networks for multidocument extractive summarization
Y Zhang, MJ Er, R Zhao, M Pratama
IEEE transactions on cybernetics 47 (10), 3230-3242, 2016
Predictive maintenance in dynamic systems: advanced methods, decision support tools and real-world applications
E Lughofer, M Sayed-Mouchaweh
Springer, 2019
An incremental type-2 meta-cognitive extreme learning machine
M Pratama, G Zhang, MJ Er, S Anavatti
IEEE transactions on cybernetics 47 (2), 339-353, 2016
Incremental rule splitting in generalized evolving fuzzy systems for autonomous drift compensation
E Lughofer, M Pratama, I Skrjanc
IEEE Transactions on Fuzzy Systems 26 (4), 1854-1865, 2017
Data driven modeling based on dynamic parsimonious fuzzy neural network
M Pratama, MJ Er, X Li, RJ Oentaryo, E Lughofer, I Arifin
Neurocomputing 110, 18-28, 2013
DEVDAN: Deep evolving denoising autoencoder
A Ashfahani, M Pratama, E Lughofer, YS Ong
Neurocomputing 390, 297-314, 2020
Autonomous deep learning: Continual learning approach for dynamic environments
A Ashfahani, M Pratama
Proceedings of the 2019 SIAM international conference on data mining, 666-674, 2019
Sentiment classification using comprehensive attention recurrent models
Y Zhang, JE Meng, R Venkatesan, N Wang, M Pratama
2016 International joint conference on neural networks (IJCNN), 1562-1569, 2016
The system can't perform the operation now. Try again later.
Articles 1–20