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2020 – today
- 2023
[j62]Edwin Lughofer, Mahardhika Pratama
:
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. Inf. Fusion 91: 458-476 (2023)- [i43]Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-Guided Learning for Continual Environments. CoRR abs/2303.11624 (2023) - 2022
- [j61]Edwin Lughofer, Mahardhika Pratama:
Online sequential ensembling of predictive fuzzy systems. Evol. Syst. 13(2): 361-386 (2022) - [j60]Renchunzi Xie, Mahardhika Pratama:
Automatic online multi-source domain adaptation. Inf. Sci. 582: 480-494 (2022) - [j59]Mahardhika Pratama, Edwin Lughofer, Plamen P. Angelov:
Editorial: Special issue on recent progress in autonomous machine learning. Inf. Sci. 595: 195-196 (2022) - [j58]Abhay M. S. Aradhya, Andri Ashfahani, Fienny Angelina, Mahardhika Pratama, Rodrigo Fernandes de Mello, Suresh Sundaram:
Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination. Inf. Sci. 607: 638-653 (2022) - [j57]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp:
ACDC: Online unsupervised cross-domain adaptation. Knowl. Based Syst. 253: 109486 (2022) - [c65]Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho:
Reinforced Continual Learning for Graphs. CIKM 2022: 1666-1674 - [c64]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance Classification. ICIP 2022: 3712-3716 - [c63]Naufal Muhammad Hirzi, Muhammad Anwar Ma'sum, Mahardhika Pratama, Wisnu Jatmiko:
Large-scale 3D Point Cloud Semantic Segmentation with 3D U-Net ASPP Sparse CNN. IWBIS 2022: 59-64 - [c62]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun:
Class-Incremental Learning via Knowledge Amalgamation. ECML/PKDD (3) 2022: 36-50 - [c61]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. ECML/PKDD (3) 2022: 373-389 - [c60]Abhay M. S. Aradhya, Gaurav Sharma, Mahardhika Pratama, Suresh Sundaram:
Adaptive Latent Transformation (ALT) for classification of resting state - fMRI. SSCI 2022: 206-210 - [i42]Weiwei Weng, Mahardhika Pratama, Choiru Za'in, Marcus de Carvalho, Appan Rakaraddi, Andri Ashfahani, Edward Kien Yee Yapp:
Autonomous Cross Domain Adaptation under Extreme Label Scarcity. CoRR abs/2209.01548 (2022) - [i41]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance classification. CoRR abs/2209.01555 (2022) - [i40]Appan Rakaraddi, Siew Kei Lam, Mahardhika Pratama, Marcus de Carvalho:
Reinforced Continual Learning for Graphs. CoRR abs/2209.01556 (2022) - [i39]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. CoRR abs/2209.01558 (2022) - [i38]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan San:
Class-Incremental Learning via Knowledge Amalgamation. CoRR abs/2209.02112 (2022) - 2021
- [j56]Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama:
Sentiment analysis: dynamic and temporal clustering of product reviews. Appl. Intell. 51(1): 51-70 (2021) - [j55]Weiwei Weng, Mahardhika Pratama, Andri Ashfahani, Edward Kien Yee Yapp:
Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process. Complex. 2021: 3005276:1-3005276:16 (2021) - [j54]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Online bagging of evolving fuzzy systems. Inf. Sci. 570: 16-33 (2021) - [j53]Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu:
Scalable teacher forcing network for semi-supervised large scale data streams. Inf. Sci. 576: 407-431 (2021) - [j52]Fubing Mao, Weiwei Weng, Mahardhika Pratama, Edward Kien Yee Yapp:
Continual learning via inter-task synaptic mapping. Knowl. Based Syst. 222: 106947 (2021) - [j51]Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram:
Bayesian Neuro-Fuzzy Inference System for Temporal Dependence Estimation. IEEE Trans. Fuzzy Syst. 29(9): 2479-2490 (2021) - [j50]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2525-2535 (2021) - [j49]Qing Cai, Sameer Alam, Mahardhika Pratama, Jiming Liu:
Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6244-6257 (2021) - [c59]Appan Rakaraddi, Mahardhika Pratama:
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. IEEE BigData 2021: 4945-4954 - [c58]Basaran Bahadir Kocer, Mohamad Abdul Hady, Harikumar Kandath, Mahardhika Pratama, Mirko Kovac:
Deep Neuromorphic Controller with Dynamic Topology for Aerial Robots. ICRA 2021: 110-116 - [c57]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp:
Autonomous Deep Quality Monitoring in Streaming Environments. IJCNN 2021: 1-8 - [c56]William Gates, Grafika Jati, P. Riskyana Dewi Intan, Mahardhika Pratama, Wisnu Jatmiko:
A Modest System of Feature-based Stereo Visual Odometry. IWBIS 2021: 47-52 - [c55]Achmad F. Abka, Mahardhika Pratama, Wisnu Jatmiko:
Cross-Lingual Summarization: English - Bahasa Indonesia. IWBIS 2021: 53-58 - [c54]Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer:
Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. CSSL 2021: 48-61 - [i37]Fubing Mao, Weiwei Weng, Mahardhika Pratama, Edward Kien Yee Yapp:
Continual Learning via Inter-Task Synaptic Mapping. CoRR abs/2106.13954 (2021) - [i36]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp:
Autonomous Deep Quality Monitoring in Streaming Environments. CoRR abs/2106.13955 (2021) - [i35]Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer:
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach. CoRR abs/2106.14563 (2021) - [i34]Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu:
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams. CoRR abs/2107.02943 (2021) - [i33]Renchunzi Xie, Mahardhika Pratama:
Automatic Online Multi-Source Domain Adaptation. CoRR abs/2109.01996 (2021) - [i32]Andri Ashfahani, Mahardhika Pratama:
Unsupervised Continual Learning in Streaming Environments. CoRR abs/2109.09282 (2021) - [i31]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp:
ACDC: Online Unsupervised Cross-Domain Adaptation. CoRR abs/2110.01326 (2021) - [i30]Appan Rakaraddi, Mahardhika Pratama:
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. CoRR abs/2111.05264 (2021) - 2020
- [j48]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt:
Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review. Artif. Intell. Rev. 53(1): 257-290 (2020) - [j47]Qing Cai, Sameer Alam, Mahardhika Pratama, Zhen Wang:
Percolation Theories for Multipartite Networked Systems under Random Failures. Complex. 2020: 3974503:1-3974503:12 (2020) - [j46]Kurnianingsih, Lukito Edi Nugroho, Widyawan, Lutfan Lazuardi, Anton Satria Prabuwono, Mahardhika Pratama:
Anomaly detection for elderly home care. Int. J. Bus. Intell. Data Min. 16(4): 418-444 (2020) - [j45]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep evolving denoising autoencoder. Neurocomputing 390: 297-314 (2020) - [j44]Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth:
Learning elastic memory online for fast time series forecasting. Neurocomputing 390: 315-326 (2020) - [j43]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. Inf. Sci. 512: 481-505 (2020) - [j42]Edwin Lughofer, Alexandru-Ciprian Zavoianu, Robert Pollak, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Thomas Radauer:
On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks. Inf. Sci. 537: 425-451 (2020) - [j41]Mahardhika Pratama, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, Edwin Lughofer:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. IEEE Trans. Cybern. 50(2): 664-677 (2020) - [j40]Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams. IEEE Trans. Fuzzy Syst. 28(7): 1315-1328 (2020) - [j39]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan:
Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles. IEEE Trans. Fuzzy Syst. 28(8): 1542-1556 (2020) - [j38]Qing Cai, Mahardhika Pratama, Sameer Alam, Chunyao Ma, Jiming Liu:
Breakup of Directed Multipartite Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 947-960 (2020) - [j37]Monidipa Das, Mahardhika Pratama, Soumya K. Ghosh:
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) - [c53]Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong:
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI 2020: 3717-3724 - [c52]Edwin Lughofer, Mahardhika Pratama:
Online Sequential Ensembling of Fuzzy Systems. EAIS 2020: 1-10 - [c51]Choiru Za'in, Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Eric Pardede:
Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. EAIS 2020: 1-8 - [c50]Khairul Anam, Saiful Bukhori, Faruq Sandi Hanggara, Mahardhika Pratama:
Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition. EMBC 2020: 447-450 - [c49]Abhay M. S. Aradhya, Suresh Sundaram, Mahardhika Pratama:
Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI. EMBC 2020: 2829-2832 - [c48]Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth:
A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting. IJCNN 2020: 1-8 - [c47]Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo:
A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario. KDD 2020: 2775-2783
2010 – 2019
- 2019
- [j36]Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li:
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access 7: 47682-47686 (2019) - [j35]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
Online identification of a rotary wing Unmanned Aerial Vehicle from data streams. Appl. Soft Comput. 76: 313-325 (2019) - [j34]Qing Cai, Mahardhika Pratama, Sameer Alam:
Interdependency and Vulnerability of Multipartite Networks under Target Node Attacks. Complex. 2019: 2680972:1-2680972:16 (2019) - [j33]Mahardhika Pratama, Dianhui Wang:
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Inf. Sci. 495: 150-174 (2019) - [j32]Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram:
A novel Spatio-Temporal Fuzzy Inference System (SPATFIS) and its stability analysis. Inf. Sci. 505: 84-99 (2019) - [j31]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle. J. Artif. Intell. Soft Comput. Res. 9(2): 99-109 (2019) - [j30]Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer:
Metacognitive learning approach for online tool condition monitoring. J. Intell. Manuf. 30(4): 1717-1737 (2019) - [j29]Choiru Za'in, Mahardhika Pratama, Eric Pardede:
Evolving large-scale data stream analytics based on scalable PANFIS. Knowl. Based Syst. 166: 186-197 (2019) - [j28]Nguyen Anh, Suresh Sundaram, Mahardhika Pratama, Narasimalu Srikanth:
Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system. Knowl. Based Syst. 169: 28-38 (2019) - [j27]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. IEEE Trans. Fuzzy Syst. 27(11): 2115-2129 (2019) - [c46]Abhay M. S. Aradhya, Aditya Joglekar, Suresh Sundaram, Mahardhika Pratama:
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. AAAI 2019: 2556-2563 - [c45]Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady:
Weakly Supervised Deep Learning Approach in Streaming Environments. IEEE BigData 2019: 1195-1202 - [c44]Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CIKM 2019: 269-278 - [c43]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CIKM 2019: 1171-1180 - [c42]Md Meftahul Ferdaus, Mohamad Abdul Hady, Mahardhika Pratama, Harikumar Kandath, Sreenatha G. Anavatti:
RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter. FUZZ-IEEE 2019: 1-7 - [c41]Harikumar Kandath, Mohamad Abdul Hady, Mahardhika Pratama, Bing Feng Ng:
Robust Evolving Neuro-Fuzzy Control of a Novel Tilt-rotor Vertical Takeoff and Landing Aircraft. FUZZ-IEEE 2019: 1-6 - [c40]Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang:
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM 2019: 110-119 - [c39]Sheng Huang, Andri Ashfahani, Mahardhika Pratama:
Wireless Indoor Positioning Using Online Machine Learning. ICMLA 2019: 1885-1890 - [c38]Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta:
FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. IJCNN 2019: 1-8 - [c37]Subhrajit Samanta, Andre Hartanto, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth:
RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation. IJCNN 2019: 1-8 - [c36]Basaran Bahadir Kocer, Mehmet Efe Tiryaki, Mahardhika Pratama, Tegoeh Tjahjowidodo, Gerald Gim Lee Seet:
Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC. IROS 2019: 2813-2819 - [c35]Andri Ashfahani, Mahardhika Pratama:
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. SDM 2019: 666-674 - [c34]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. SSCI 2019: 513-518 - [i29]Mohamad Abdul Hady, Basaran Bahadir Kocer, Harikumar Kandath, Mahardhika Pratama:
Real-time UAV Complex Missions Leveraging Self-Adaptive Controller with Elastic Structure. CoRR abs/1907.08619 (2019) - [i28]Basaran Bahadir Kocer, Mehmet Efe Tiryaki, Mahardhika Pratama, Tegoeh Tjahjowidodo, Gerald Gim Lee Seet:
Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC. CoRR abs/1907.13594 (2019) - [i27]Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CoRR abs/1910.03434 (2019) - [i26]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CoRR abs/1910.03437 (2019) - [i25]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep Evolving Denoising Autoencoder. CoRR abs/1910.04062 (2019) - [i24]Jiun Fatt Chow, Basaran Bahadir Kocer, John Henawy, Gerald Seet, Zhengguo Li, Wei-Yun Yau, Mahardhika Pratama:
Toward Underground Localization: Lidar Inertial Odometry Enabled Aerial Robot Navigation. CoRR abs/1910.13085 (2019) - [i23]Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady:
Weakly Supervised Deep Learning Approach in Streaming Environments. CoRR abs/1911.00847 (2019) - 2018
- [j26]Mahardhika Pratama, Edwin Lughofer, Suresh Sundaram, Moamar Sayed Mouchaweh, Igor Skrjanc, Fahed Mostafa:
Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. Appl. Soft Comput. 72: 552-554 (2018) - [j25]Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama:
Sentiment analysis: An automatic contextual analysis and ensemble clustering approach and comparison. Data Knowl. Eng. 115: 194-213 (2018) - [j24]Edwin Lughofer, Robert Pollak, Alexandru-Ciprian Zavoianu, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Julia Haim, Thomas Radauer:
Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality. Eng. Appl. Artif. Intell. 68: 131-151 (2018) - [j23]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious random vector functional link network for data streams. Inf. Sci. 430: 519-537 (2018) - [j22]Edwin Lughofer, Mahardhika Pratama:
Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models. IEEE Trans. Fuzzy Syst. 26(1): 292-309 (2018) - [j21]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. IEEE Trans. Fuzzy Syst. 26(4): 1854-1865 (2018) - [j20]Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer:
Evolving Ensemble Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26(5): 2552-2567 (2018) - [c33]Edwin Lughofer, Robert Pollak, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Jasmin Lehner, Thomas Radauer, Mahardhika Pratama:
Evolving time-series based prediction models for quality criteria in a multi-stage production process. EAIS 2018: 1-10 - [c32]Sheng Huang, Syed Shoaib, Andri Ashfahani, Mahardhika Pratama:
Similarity Measures in Development of an Indoor Localization System. ICARCV 2018: 1420-1425 - [c31]Sheng Huang, Sudeep Mohanty, Andri Ashfahani, Mahardhika Pratama:
The Study on Indoor Localization for Manufacturing Execution System. ICARCV 2018: 1863-1867 - [c30]Mukesh Prasad, Liang-Cheng Chang, Deepak Gupta, Mahardhika Pratama, Suresh Sundaram, Chin-Teng Lin:
Online video streaming for human tracking based on weighted resampling particle filter. INNS Conference on Big Data 2018: 2-12 - [c29]Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad:
Big Data Analytics based on PANFIS MapReduce. INNS Conference on Big Data 2018: 140-152 - [c28]Choiru Za'in, Mahardhika Pratama, Andri Ashfahani, Eric Pardede, Huang Sheng:
Big Data Analytic Based on Scalable PANFIS for RFID Localization. SMC 2018: 1687-1692 - [c27]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt:
A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. SMC 2018: 2784-2791 - [c26]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems. SSCI 2018: 335-341 - [c25]Marcus de Carvalho, Mahardhika Pratama:
Improving shallow neural network by compressing deep neural network. SSCI 2018: 1382-1387 - [c24]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt:
A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter. SSCI 2018: 2026-2032 - [e1]Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama:
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018. Procedia Computer Science 144, Elsevier 2018 [contents] - [i22]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan:
Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles. CoRR abs/1802.00635 (2018) - [i21]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle. CoRR abs/1802.01262 (2018) - [i20]Wahyu Caesarendra, Mahardhika Pratama, Tegoeh Tjahjowidodo, Kiet Tieu, Buyung Kosasih:
Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis. CoRR abs/1802.09332 (2018) - [i19]Choiru Za'in, Mahardhika Pratama, Andri Ashfahani, Eric Pardede, Huang Sheng:
Big Data Analytic based on Scalable PANFIS for RFID Localization. CoRR abs/1804.10166 (2018) - [i18]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance Hexacopter Altitude Control System. CoRR abs/1805.02508 (2018) - [i17]Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt:
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. CoRR abs/1805.04258 (2018) - [i16]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Huang Sheng:
An Online RFID Localization in the Manufacturing Shopfloor. CoRR abs/1805.07715 (2018) - [i15]Mahardhika Pratama, Choiru Za'in, Eric Pardede:
Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS. CoRR abs/1807.06996 (2018) - [i14]Mahardhika Pratama, Dianhui Wang:
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. CoRR abs/1808.02234 (2018) - [i13]Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb:
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. CoRR abs/1808.08517 (2018) - [i12]Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR abs/1809.09081 (2018) - [i11]Andri Ashfahani, Mahardhika Pratama:
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. CoRR abs/1810.07348 (2018) - [i10]