default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMahardhika Pratama
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j73]Md. Rasel Sarkar
, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama:
GATE: A guided approach for time series ensemble forecasting. Expert Syst. Appl. 235: 121177 (2024)- [j72]Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Few-shot class incremental learning via robust transformer approach. Inf. Sci. 675: 120751 (2024) - [j71]Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Ramasamy Savitha:
Cross-domain continual learning via CLAMP. Inf. Sci. 676: 120813 (2024) - [j70]Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Cross-domain few-shot learning via adaptive transformer networks. Knowl. Based Syst. 288: 111458 (2024) - [j69]Muhammad Tanzil Furqon, Mahardhika Pratama, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay:
Mixup domain adaptations for dynamic remaining useful life predictions. Knowl. Based Syst. 295: 111783 (2024) - [j68]Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk:
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. IEEE Trans. Artif. Intell. 5(8): 4258-4268 (2024) - [j67]Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz:
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 126-139 (2024) - [j66]Muhammad Anwar Ma'sum, Mahardhika Pratama, Ramasamy Savitha, Lin Liu, Habibullah, Ryszard Kowalczyk:
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c69]Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk:
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CIKM 2024: 1670-1679 - [c68]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. ICDE 2024: 1131-1142 - [c67]Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho:
Graph Mining under Data scarcity. IJCNN 2024: 1-7 - [i55]Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah, Ryszard Kowalczyk:
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. CoRR abs/2401.13968 (2024) - [i54]Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks. CoRR abs/2401.13987 (2024) - [i53]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. CoRR abs/2402.12490 (2024) - [i52]Muhammad Tanzil Furqon, Mahardhika Pratama, Lin Liu, Habibullah, Kutluyil Dogancay:
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions. CoRR abs/2404.04824 (2024) - [i51]Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk:
Few-Shot Class Incremental Learning via Robust Transformer Approach. CoRR abs/2405.05984 (2024) - [i50]Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy:
Cross-Domain Continual Learning via CLAMP. CoRR abs/2405.07142 (2024) - [i49]Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho:
Graph Mining under Data scarcity. CoRR abs/2406.04825 (2024) - [i48]Muhammad Anwar Ma'sum, Mahardhika Pratama, Ramasamy Savitha, Lin Liu, Habibullah, Ryszard Kowalczyk:
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification. CoRR abs/2406.18574 (2024) - [i47]Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk:
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CoRR abs/2407.20705 (2024) - [i46]Muhammad Tanzil Furqon, Mahardhika Pratama, Ary Mazharuddin Shiddiqi, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay:
Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations. CoRR abs/2410.17511 (2024) - 2023
- [j65]Edwin Lughofer, Mahardhika Pratama:
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. Inf. Fusion 91: 458-476 (2023) - [j64]Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-guided learning for continual environments. Inf. Sci. 640: 119088 (2023) - [j63]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. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6839-6850 (2023) - [j62]Andri Ashfahani, Mahardhika Pratama:
Unsupervised Continual Learning in Streaming Environments. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9992-10003 (2023) - [c66]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi:
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. IJCNN 2023: 1-8 - [i45]Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-Guided Learning for Continual Environments. CoRR abs/2303.11624 (2023) - [i44]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi:
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. CoRR abs/2304.10758 (2023) - [i43]Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Edwin Lughofer, Habibullah, Ryszard Kowalczyk:
Few-Shot Continual Learning via Flat-to-Wide Approaches. CoRR abs/2306.14369 (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 G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. CoRR abs/2209.01558 (2022) - [i38]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun:
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, Sheng Huang:
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, Sheng Huang:
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, Sheng Huang:
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]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. CoRR abs/1811.03764 (2018) - [i9]Basaran Bahadir Kocer, Volkan Kumtepeli, Tegoeh Tjahjowidodo, Mahardhika Pratama, Anshuman Tripathi, Gerald Seet Gim Lee, Youyi Wang:
UAV Control in Close Proximities - Ceiling Effect on Battery Lifetime. CoRR abs/1812.11707 (2018) - 2017
- [j19]Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Sreenatha G. Anavatti:
Evolving type-2 web news mining. Appl. Soft Comput. 54: 200-220 (2017) - [j18]Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu:
A novel online multi-label classifier for high-speed streaming data applications. Evol. Syst. 8(4): 303-315 (2017) - [j17]Mahardhika Pratama, Edwin Lughofer, Chee Peng Lim, Wenny Rahayu, Tharam S. Dillon, Agus Budiyono:
pClass+: A Novel Evolving Semi-Supervised Classifier. Int. J. Fuzzy Syst. 19(3): 863-880 (2017) - [j16]Edwin Lughofer, Stefan Kindermann, Mahardhika Pratama, José de Jesús Rubio:
Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage. Int. J. Fuzzy Syst. 19(5): 1645-1658 (2017) - [j15]Mahardhika Pratama, Edwin Lughofer, Dianhui Wang:
Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing 262: 1-3 (2017) - [j14]Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim:
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. Neurocomputing 262: 4-27 (2017) - [j13]Mahardhika Pratama, Guangquan Zhang, Meng Joo Er, Sreenatha G. Anavatti:
An Incremental Type-2 Meta-Cognitive Extreme Learning Machine. IEEE Trans. Cybern. 47(2): 339-353 (2017) - [j12]Yong Zhang, Meng Joo Er, Rui Zhao, Mahardhika Pratama:
Multiview Convolutional Neural Networks for Multidocument Extractive Summarization. IEEE Trans. Cybern. 47(10): 3230-3242 (2017) - [j11]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er:
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 25(5): 1175-1192 (2017) - [c23]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Incremental rule splitting in generalized evolving fuzzy regression models. EAIS 2017: 1-8 - [c22]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter. ICACI 2017: 223-230 - [c21]Kuang-Pen Chou, Dong-Lin Li, Mukesh Prasad, Mahardhika Pratama, Sheng-Yao Su, Haiyan Lu, Chin-Teng Lin, Wen-Chieh Lin:
Robust Facial Alignment for Face Recognition. ICONIP (3) 2017: 497-504 - [c20]Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim:
A randomized neural network for data streams. IJCNN 2017: 3423-3430 - [c19]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle. SSCI 2017: 1-6 - [c18]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle. SSCI 2017: 1-8 - [c17]Jagendra Singh, Mukesh Prasad, Yousef-Awwad Daraghmi, Prayag Tiwari, Pranay Yadav, Neha Bharill, Mahardhika Pratama, Amit Saxena:
Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion. SSCI 2017: 1-7 - [i8]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious Random Vector Functional Link Network for Data Streams. CoRR abs/1704.02789 (2017) - [i7]Mahardhika Pratama:
PANFIS++: A Generalized Approach to Evolving Learning. CoRR abs/1705.02476 (2017) - [i6]Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer:
Metacognitive Learning Approach for Online Tool Condition Monitoring. CoRR abs/1705.02477 (2017) - [i5]Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer:
Evolving Ensemble Fuzzy Classifier. CoRR abs/1705.06460 (2017) - [i4]Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama:
An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis. CoRR abs/1705.10130 (2017) - [i3]Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. CoRR abs/1711.01843 (2017) - 2016
- [j10]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim:
An incremental meta-cognitive-based scaffolding fuzzy neural network. Neurocomputing 171: 89-105 (2016) - [j9]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti:
Scaffolding type-2 classifier for incremental learning under concept drifts. Neurocomputing 191: 304-329 (2016) - [j8]Meng Joo Er, Yong Zhang, Ning Wang, Mahardhika Pratama:
Attention pooling-based convolutional neural network for sentence modelling. Inf. Sci. 373: 388-403 (2016) - [j7]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
Evolving Type-2 Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 24(3): 574-589 (2016) - [c16]Sreenatha G. Anavatti, Sumana Biswas, Jedd T. Colvin, Mahardhika Pratama:
A hybrid algorithm for efficient path planning of autonomous ground vehicles. ICARCV 2016: 1-6 - [c15]Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Simultaneous replanning with vectorized particle swarm optimization algorithm. ICARCV 2016: 1-6 - [c14]Yong Zhang, Meng Joo Er, Mahardhika Pratama:
Extractive document summarization based on convolutional neural networks. IECON 2016: 918-922 - [c13]Yong Zhang, Meng Joo Er, Rajasekar Venkatesan, Ning Wang, Mahardhika Pratama:
Sentiment classification using Comprehensive Attention Recurrent models. IJCNN 2016: 1562-1569 - [c12]Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu, Mahardhika Pratama:
A novel online real-time classifier for multi-label data streams. IJCNN 2016: 1833-1840 - [c11]Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, J. Wenny Rahayu, Tharam S. Dillon:
Evolving type-2 recurrent fuzzy neural network. IJCNN 2016: 1841-1848 - [c10]Meng Joo Er, Fan Liu, Ning Wang, Yong Zhang, Mahardhika Pratama:
User-Level Twitter Sentiment Analysis with a Hybrid Approach. ISNN 2016: 426-433 - [i2]Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu, Mahardhika Pratama:
A Novel Online Real-time Classifier for Multi-label Data Streams. CoRR abs/1608.08905 (2016) - [i1]Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu:
A novel online multi-label classifier for high-speed streaming data applications. CoRR abs/1609.00086 (2016) - 2015
- [j6]Edwin Lughofer, Carlos Cernuda, Stefan Kindermann, Mahardhika Pratama:
Generalized smart evolving fuzzy systems. Evol. Syst. 6(4): 269-292 (2015) - [j5]Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, Edwin Lughofer:
pClass: An Effective Classifier for Streaming Examples. IEEE Trans. Fuzzy Syst. 23(2): 369-386 (2015) - [j4]Mahardhika Pratama, Sreenatha G. Anavatti, Jie Lu:
Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm. IEEE Trans. Fuzzy Syst. 23(6): 2048-2066 (2015) - [c9]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
An incremental interval Type-2 neural fuzzy Classifier. FUZZ-IEEE 2015: 1-8 - [c8]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams. SMC 2015: 2792-2797 - 2014
- [b1]Mahardhika Pratama:
Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. University of New South Wales, Canberra, Australia, 2014 - [j3]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
GENEFIS: Toward an Effective Localist Network. IEEE Trans. Fuzzy Syst. 22(3): 547-562 (2014) - [j2]Mahardhika Pratama, Sreenatha G. Anavatti, Plamen P. Angelov, Edwin Lughofer:
PANFIS: A Novel Incremental Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 25(1): 55-68 (2014) - [c7]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias:
A recurrent meta-cognitive-based Scaffolding classifier from data streams. EALS 2014: 132-139 - [c6]Mahardhika Pratama, Meng Joo Er, Sreenatha G. Anavatti, Edwin Lughofer, Ning Wang, Imam Arifin:
A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems. FUZZ-IEEE 2014: 369-376 - [c5]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
An Incremental Classifier from Data Streams. SETN 2014: 15-28 - 2013
- [j1]Mahardhika Pratama, Meng Joo Er, Xiang Li, Richard Jayadi Oentaryo, Edwin Lughofer, Imam Arifin:
Data driven modeling based on dynamic parsimonious fuzzy neural network. Neurocomputing 110: 18-28 (2013) - [c4]Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system. EAIS 2013: 106-113 - [c3]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
Evolving fuzzy rule-based classifier based on GENEFIS. FUZZ-IEEE 2013: 1-8 - [c2]Edwin Lughofer, Carlos Cernuda, Mahardhika Pratama:
Generalized Flexible Fuzzy Inference Systems. ICMLA (2) 2013: 1-7 - 2011
- [c1]Mahardhika Pratama, Meng Joo Er, Xiang Li, Linn San, J. O. Richard, Lain-Yin Zhai, Amin Jahromi Torabi, Imam Arifin:
Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification. ISNN (2) 2011: 525-534
Coauthor Index
Matthew A. Garratt
aka: Matthew Garratt
aka: Matthew Garratt
[j65] [j64] [i45] [i43] [j61] [j59] [j54] [j53] [c57] [c54] [i36] [i35] [i34] [j45] [j43] [j42] [j41] [c52] [c51] [j30] [c44] [i27] [i25] [j26] [j24] [j23] [j22] [j21] [j20] [c33] [c29] [i16] [i12] [i10] [j19] [j17] [j16] [j15] [j14] [j11] [c23] [c20] [i8] [i6] [i5] [i3] [j10] [j9] [c11] [j6] [j5] [j3] [j2] [c6] [c5] [j1] [c4] [c3] [c2]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
