| 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 | 203 | 2013 |
| GENEFIS: toward an effective localist network M Pratama, SG Anavatti, E Lughofer IEEE Transactions on Fuzzy Systems 22 (3), 547-562, 2013 | 131 | 2013 |
| Generalized smart evolving fuzzy systems E Lughofer, C Cernuda, S Kindermann, M Pratama Evolving systems 6 (4), 269-292, 2015 | 124 | 2015 |
| Evolving type-2 fuzzy classifier M Pratama, J Lu, G Zhang IEEE Transactions on Fuzzy Systems 24 (3), 574-589, 2015 | 103 | 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 | 99 | 2014 |
| 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 | 97 | 2016 |
| An incremental meta-cognitive-based scaffolding fuzzy neural network M Pratama, J Lu, S Anavatti, E Lughofer, CP Lim Neurocomputing 171, 89-105, 2016 | 88 | 2016 |
| Attention pooling-based convolutional neural network for sentence modelling MJ Er, Y Zhang, N Wang, M Pratama Information Sciences 373, 388-403, 2016 | 86 | 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 | 82 | 2015 |
| 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 | 77 | 2016 |
| 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 | 66 | 2016 |
| 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 | 61 | 2013 |
| 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 | 57 | 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 | 56 | 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 | 51 | 2017 |
| Evolving ensemble fuzzy classifier M Pratama, W Pedrycz, E Lughofer IEEE Transactions on Fuzzy Systems 26 (5), 2552-2567, 2018 | 44 | 2018 |
| 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 | 40 | 2016 |
| Evolving type-2 web news mining C Za’in, M Pratama, E Lughofer, SG Anavatti Applied Soft Computing 54, 200-220, 2017 | 39 | 2017 |
| A novel online multi-label classifier for high-speed streaming data applications R Venkatesan, MJ Er, M Dave, M Pratama, S Wu Evolving Systems 8 (4), 303-315, 2017 | 35 | 2017 |
| pClass+: a novel evolving semi-supervised classifier M Pratama, E Lughofer, CP Lim, W Rahayu, T Dillon, A Budiyono International Journal of Fuzzy Systems 19 (3), 863-880, 2017 | 34 | 2017 |
Edwin LughoferJohannes Kepler University LinzVerified email at jku.at
