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 | 275 | 2013 |
GENEFIS: Toward an effective localist network M Pratama, SG Anavatti, E Lughofer IEEE Transactions on Fuzzy Systems 22 (3), 547-562, 2013 | 183 | 2013 |
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 | 176 | 2016 |
Generalized smart evolving fuzzy systems E Lughofer, C Cernuda, S Kindermann, M Pratama Evolving systems 6 (4), 269-292, 2015 | 176 | 2015 |
Attention pooling-based convolutional neural network for sentence modelling MJ Er, Y Zhang, N Wang, M Pratama Information Sciences 373, 388-403, 2016 | 155 | 2016 |
Evolving type-2 fuzzy classifier M Pratama, J Lu, G Zhang IEEE Transactions on Fuzzy Systems 24 (3), 574-589, 2015 | 149 | 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 | 131 | 2014 |
Predictive maintenance in dynamic systems: advanced methods, decision support tools and real-world applications E Lughofer, M Sayed-Mouchaweh Springer, 2019 | 119 | 2019 |
Evolving ensemble fuzzy classifier M Pratama, W Pedrycz, E Lughofer IEEE Transactions on Fuzzy Systems 26 (5), 2552-2567, 2018 | 117 | 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 | 117 | 2017 |
An incremental meta-cognitive-based scaffolding fuzzy neural network M Pratama, J Lu, S Anavatti, E Lughofer, CP Lim Neurocomputing 171, 89-105, 2016 | 107 | 2016 |
DEVDAN: Deep evolving denoising autoencoder A Ashfahani, M Pratama, E Lughofer, YS Ong Neurocomputing 390, 297-314, 2020 | 106 | 2020 |
Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion J Singh, M Prasad, YA Daraghmi, P Tiwari, P Yadav, N Bharill, M Pratama, ... 2017 IEEE symposium series on computational intelligence (SSCI), 1-7, 2017 | 103 | 2017 |
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 | 102 | 2016 |
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 | 100 | 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 | 98 | 2015 |
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 | 90 | 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 | 86 | 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 | 83 | 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 | 81 | 2013 |