Publication & Service

Selected Publication

^ : corresponding author

** : directly supervised research staffs (Postdoc, Research Associate, etc.)

* : directly supervised students

Journals

  1. *A. Ashfahani, M. Pratama, Unsupervised Continual Learning in Streaming Environments, IEEE Transactions on Neural Networks and Learning Systems, 2022

  2. M. Pratama^, E. Lughofer, P. Angelov, Editorial: Special Issue on Recent Progress in Autonomous Machine Learning, Information Sciences, 2022

  3. R. Xie**, M. Pratama^, Automatic Online Multi-Source Domain Adaptation, Information Sciences, 2021

  4. M. Pratama^, C. Za’in*, E. Lughofer, E. Pardede, D. Rahayu, Scalable teacher forcing network for semi-supervised large scale data streams, Information Sciences, pp. 407-431, 2021

  5. F. Mao**, W. Weng**, M. Pratama^, E. Yapp Kien-Yee, Continual learning via inter-task synaptic mapping, Knowledge-based Systems, Vol. 222, 2021

  6. S. Subharjit**, M. Pratama, S. Suresh, Bayesian Neuro-Fuzzy Inference System (BaNFIS) for Temporal Dependency Estimation, IEEE Transactions on Fuzzy Systems, 2020

  7. M Pratama^, E Dimla, T Tjahjowidodo, W Pedrycz, E Lughofer, Online tool condition monitoring based on parsimonious ensemble+, IEEE transactions on cybernetics 50 (2), 664-677, 2020

  8. MM Ferdaus*, M Pratama^, SG Anavatti, MA Garratt, E Lughofer, PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles, Information Sciences 512, 481-505, 2020

  9. Q Cai**, S Alam, M Pratama, J Liu, Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020

  10. M. Das**, M. Pratama, S. K. Gosh, SARDINE: A Self-Adaptive Recurrent Deep Incremental Network Model for Spatio-Temporal Prediction of Remote Sensing Data, ACM Trans. Spatial Algorithms Syst. 6(3): 16:1-16:26 (2020)

  11. S Samanta*, M Pratama^, S Sundaram, A novel spatio-temporal fuzzy inference system (spatfis) and its stability analysis, Information Sciences 505, 84-99, 2019

  12. S Samanta*, M Pratama^, S Sundaram, N Srikanth, Learning elastic memory online for fast time series forecasting, Neurocomputing, Vol. 390, pp. 315-326, 2020

  13. A Ashfahani*, M Pratama^, E Lughofer, YS Ong, DEVDAN: Deep evolving denoising autoencoder, Neurocomputing, Vol. 390, pp. 297-314, 2020

  14. M Pratama^, W Pedrycz, GI Webb, An incremental construction of deep neuro fuzzy system for continual learning of non-stationary data streams, IEEE Transactions on Fuzzy Systems, Vol. 28(7), pp. 1315-1328, 2020

  15. M Pratama^, D Wang, Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams, Information Sciences 495, 150-174, 2019

  16. MM Ferdaus*, M Pratama^, S Anavatti, MA Garratt, Y Pan, Generic evolving self-organizing neuro-fuzzy control of bio-inspired unmanned aerial vehicles, IEEE Transactions on Fuzzy Systems, Vol.28(8), pp. 1542-1556, 2020

  17. MM Ferdaus*, M Pratama^, SG Anavatti, MA Garratt, PALM: An incremental construction of hyperplanes for data stream regression, IEEE Transactions on Fuzzy Systems 27 (11), 2115-2129, 2019

  18. M. Pratama^, W. Pedrycz, E. Lughofer, Evolving Ensemble Fuzzy Classifier, IEEE Transactions on Fuzzy Systems, 26 (5), 2552-2567, 2018

  19. M. Pratama^, E. Lughofer, P. Angelov, M-J.Er, Parsimonious Random Vector Functional Link Network for Data Streams, Information Sciences, Vol. 430, pp. 519-537, 2018

  20. E.Lughofer, M. Pratama, On-line Active Learning in Data Stream Regression employing Evolving Generalized Fuzzy Models with Certainty Sampling, IEEE Transactions on Fuzzy Systems, Vol. 26(1), pp. 262-309, 2018

  21. M. Pratama^, J. Lu, G. Zhang, Evolving Type-2 Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 24(3): 574-589 (2016)

  22. M. Pratama^, S. Anavatti, E. Lughofer, GENEFIS: Toward an Effective Localist Network. IEEE Trans. Fuzzy Syst. 22(3): 547-562 (2014)

  23. M. Pratama^, S. Anavatti, P. Angelov, E. Lughofer, PANFIS: A Novel Incremental Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 25(1): 55-68 (2014)

Conferences

  1. A. Rakaraddi*, M. Pratama, Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach, IEEE BigData 2021

  2. M. Pratama, A. Ashfahani*, E. Lughofer, Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach, International Joint Conference on Artificial Intelligence Workshop on Continual Semi-Supervised Learning, 2021 (1st CSSL@IJCAI)

  3. A. Ashfahani*, M. Pratama, E. Lughofer, E. Yapp, Autonomous Deep Quality Monitoring in Streaming Environments, IJCNN, 2021

  4. B. Kocer**, A. Hady**, H. Kandath**, M. Pratama, Deep Neuromorphic Controller with Dynamic Topology for Aerial Robots, ICRA, 2021

  5. M. Das**, M. Pratama, T. Tjahjowidodo, A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario, KDD, 2020, pp. 2775-2783

  6. M. Das**, M. Pratama, J. Zhang, Y-S. Ong, A Skip-connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario, in proceeding of 34th AAAI conference on Artificial Intelligence, 2020, New York, USA

  7. M. Pratama, A. Ashfahani*, A. Hadi**, Weakly Supervised Deep Learning Approach in Streaming Environments. IEEE BigData 2019: 1195-1202

  8. K. Anam, S. Bukhori, F. S. Hanggara, M. Pratama, Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition. EMBC 2020: 447-450

  9. AMS. Aradya*, S. Sundaram, M. Pratama, Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI. EMBC 2020: 2829-2832

  10. S. Subhajit*, M. Pratama, S. Sundaram, N. Srikanth, A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting. IJCNN 2020: 1-8

  11. M Das**, M Pratama, S Savitri**, J Zhang, MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification, in proceeding of 2019 IEEE International Conference on Data Mining (ICDM), 110-119, 2019, Beijing, China

  12. M Pratama, C Za'in*, A Ashfahani*, YS Ong, W Ding, Automatic construction of multi-layer perceptron network from streaming examples, Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 1171-1180, 2019, Beijing, China

  13. M Pratama, M de Carvalho**, R Xie**, E Lughofer, J Lu, ATL: Autonomous Knowledge Transfer from Many Streaming Processes, Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 269-278, 2019, Beijing, China

  14. A Ashfahani*, M Pratama, Autonomous deep learning: Continual learning approach for dynamic environments, in Proceedings of the 2019 SIAM International Conference on Data Mining, 666-674, 2019, Calgary, Canada

  15. AMS Aradhya*, A Joglekar, S Suresh, M Pratama, Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI, Proceedings of the 33rd AAAI Conference on Artificial Intelligence, 2556-2563, 2019, Hawai, USA

  16. C. Za’in*, A. Ashfahani*, M. Pratama, E. Lughofer, E. Pardede, Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. EAIS 2020: 1-8

  17. B. Kocer**, M. Tiryaki, M. Pratama, T. Tjahjowidodo, G. G. Lem Seet, Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC. IROS 2019: 2813-2819

  18. M. Das**, M. Pratama, A. Ashfahani*, S. Subhrajit*, FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. IJCNN 2019: 1-8

  19. MM. Ferdaus*, A. Hady**, M. Pratama, H. Kandath**, S. Anavatti, RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter. FUZZ-IEEE 2019: 1-7

  20. H. Kandath**, A. Hady*, M. Pratama, B.F. Ng, Robust Evolving Neuro-Fuzzy Control of a Novel Tilt-rotor Vertical Takeoff and Landing Aircraft. FUZZ-IEEE 2019: 1-6

  21. S. Ozawa, Ah-Hwee Tan, P. P. Angelov, A. Roy, M. Pratama, INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018. Procedia Computer Science 144, Elsevier 2018

For a full list of publication, one can check my google scholar.

Special Issue

  • M. Pratama, P. Angelov, E. Lughofer, Recent Progress on Autonomous Machine Learning, Information Sciences

  • M. Pratama, E.Lughofer, D. Wang, Online Real-Time Learning Strategies for Data Streams , Neurocomputing

  • M. Pratama, E. Lughofer, S. Suresh, M.S. Mouchaweh, Advanced Soft Computing for Prognostics Health Management, Applied Soft Computing

Service

  • Associate Editor, IEEE Transactions on Fuzzy Systems (IF: 12.029)

  • Associate Editor, Information Sciences (IF: 6.795)

  • Associate Editor, Knowledge-based Systems (IF: 8.08)

  • Associate Editor, Complexity (IF: 2.591)

  • Associate Editor, Evolving Systems (IF: 2.070)

  • Associate Editor, Journal of Control and Decision

  • Editor in Chief, International Journal of Business Intelligence and Data Mining

  • IEEE CIS Emergent Technologies, Technical Committee

  • IEEE CIS Singapore Chapter, ExCom

  • Tutorial and Keynote Chair, IEEE SSCI 2022

  • Koordinator Klaster Keahlian Telekomunikasi, Robotics, IT, AI, Big Data, Ikatan Ilmuwan Indonesia Internasional (2020 - present)

  • Program Committee, AAAI, IJCAI, ICONIP, ICMLA, FUZZ-IEEE, CIKM, etc.

  • Scientific Committee, 12th Conference on Learning Factories (CLF2022)

  • Tutorial on AML in IEEE SSCI 2020

  • Program Chair of INNS BDDL 2018

  • General Chair of 1st ICDM Workshop on AML 2019

  • Local Arrangement Chair of ICBK 2018

  • Publication Chair, IEEE SSCI, 2018