Mahardhika Pratama

According to our database, Mahardhika Pratama authored at least 156 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks.

Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk

IEEE Trans. Artif. Intell., August, 2024

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

GATE: A guided approach for time series ensemble forecasting.

Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama

Expert Syst. Appl., January, 2024

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Ramasamy Savitha, Lin Liu, Habibullah, Ryszard Kowalczyk

IEEE Trans. Geosci. Remote. Sens., 2024

Cross-domain few-shot learning via adaptive transformer networks.

Naeem Paeedeh, Mahardhika Pratama, Muhammad Anwar Ma'sum, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk

Knowl. Based Syst., 2024

Mixup domain adaptations for dynamic remaining useful life predictions.

Muhammad Tanzil Furqon, Mahardhika Pratama, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay

Knowl. Based Syst., 2024

Cross-domain continual learning via CLAMP.

Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Ramasamy Savitha

Inf. Sci., 2024

Few-shot class incremental learning via robust transformer approach.

Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang Mayer, Zehong Cao, Ryszard Kowalczyk

Inf. Sci., 2024

Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations.

Muhammad Tanzil Furqon, Mahardhika Pratama, Ary Mazharuddin Shiddiqi, Lin Liu, Habibullah Habibullah, Kutluyil Dogancay

CoRR, 2024

Cross-Domain Continual Learning via CLAMP.

Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy

CoRR, 2024

Graph Mining under Data scarcity.

Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho

Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Cross-Domain Continual Learning.

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Unsupervised Continual Learning in Streaming Environments.

Andri Ashfahani, Mahardhika Pratama

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Autonomous Cross Domain Adaptation Under Extreme Label Scarcity.

Weiwei Weng, Mahardhika Pratama, Choiru Za'in, Marcus de Carvalho, Appan Rakaraddi, Andri Ashfahani, Edward Kien Yee Yapp

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Assessor-guided learning for continual environments.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko

Inf. Sci., September, 2023

Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects.

Edwin Lughofer, Mahardhika Pratama

Inf. Fusion, 2023

Few-Shot Continual Learning via Flat-to-Wide Approaches.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Edwin Lughofer, Habibullah, Ryszard Kowalczyk

CoRR, 2023

Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting.

Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

ACDC: Online unsupervised cross-domain adaptation.

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp

Knowl. Based Syst., 2022

Automatic online multi-source domain adaptation.

Renchunzi Xie, Mahardhika Pratama

Inf. Sci., 2022

Editorial: Special issue on recent progress in autonomous machine learning.

Mahardhika Pratama, Edwin Lughofer, Plamen P. Angelov

Inf. Sci., 2022

Autonomous CNN (AutoCNN): A data-driven approach to network architecture determination.

Abhay M. S. Aradhya, Andri Ashfahani, Fienny Angelina, Mahardhika Pratama, Rodrigo Fernandes de Mello, Suresh Sundaram

Inf. Sci., 2022

Online sequential ensembling of predictive fuzzy systems.

Edwin Lughofer, Mahardhika Pratama

Evol. Syst., 2022

Adaptive Latent Transformation (ALT) for classification of resting state - fMRI.

Abhay M. S. Aradhya, Gaurav Sharma, Mahardhika Pratama, Suresh Sundaram

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Scalable Adversarial Online Continual Learning.

Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Class-Incremental Learning via Knowledge Amalgamation.

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Large-scale 3D Point Cloud Semantic Segmentation with 3D U-Net ASPP Sparse CNN.

Naufal Muhammad Hirzi, Muhammad Anwar Ma'sum, Mahardhika Pratama, Wisnu Jatmiko

Proceedings of the 7th International Workshop on Big Data and Information Security, 2022

Latent Preserving Generative Adversarial Network for Imbalance Classification.

Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Reinforced Continual Learning for Graphs.

Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory.

Qing Cai, Sameer Alam, Mahardhika Pratama, Jiming Liu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems.

Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

IEEE Trans. Syst. Man Cybern. Syst., 2021

Bayesian Neuro-Fuzzy Inference System for Temporal Dependence Estimation.

Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram

IEEE Trans. Fuzzy Syst., 2021

Continual learning via inter-task synaptic mapping.

Fubing Mao, Weiwei Weng, Mahardhika Pratama, Edward Kien Yee Yapp

Knowl. Based Syst., 2021

Scalable teacher forcing network for semi-supervised large scale data streams.

Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu

Inf. Sci., 2021

Online bagging of evolving fuzzy systems.

Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc

Inf. Sci., 2021

Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process.

Weiwei Weng, Mahardhika Pratama, Andri Ashfahani, Edward Kien Yee Yapp

Complex., 2021

Sentiment analysis: dynamic and temporal clustering of product reviews.

Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama

Appl. Intell., 2021

Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach.

Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer

Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

A Modest System of Feature-based Stereo Visual Odometry.

William Gates, Grafika Jati, P. Riskyana Dewi Intan, Mahardhika Pratama, Wisnu Jatmiko

Proceedings of the 6th International Workshop on Big Data and Information Security, 2021

Cross-Lingual Summarization: English - Bahasa Indonesia.

Achmad F. Abka, Mahardhika Pratama, Wisnu Jatmiko

Proceedings of the 6th International Workshop on Big Data and Information Security, 2021

Autonomous Deep Quality Monitoring in Streaming Environments.

Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp

Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Neuromorphic Controller with Dynamic Topology for Aerial Robots.

Basaran Bahadir Kocer, Mohamad Abdul Hady, Harikumar Kandath, Mahardhika Pratama, Mirko Kovac

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach.

Appan Rakaraddi, Mahardhika Pratama

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

SARDINE: A Self-Adaptive Recurrent Deep Incremental Network Model for Spatio-Temporal Prediction of Remote Sensing Data.

Monidipa Das, Mahardhika Pratama, Soumya K. Ghosh

ACM Trans. Spatial Algorithms Syst., 2020

Breakup of Directed Multipartite Networks.

Qing Cai, Mahardhika Pratama, Sameer Alam, Chunyao Ma, Jiming Liu

IEEE Trans. Netw. Sci. Eng., 2020

An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams.

Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb

IEEE Trans. Fuzzy Syst., 2020

Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan

IEEE Trans. Fuzzy Syst., 2020

Online Tool Condition Monitoring Based on Parsimonious Ensemble+.

Mahardhika Pratama, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, Edwin Lughofer

IEEE Trans. Cybern., 2020

On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks.

Edwin Lughofer, Alexandru-Ciprian Zavoianu, Robert Pollak, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Thomas Radauer

Inf. Sci., 2020

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer

Inf. Sci., 2020

Learning elastic memory online for fast time series forecasting.

Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth

Neurocomputing, 2020

DEVDAN: Deep evolving denoising autoencoder.

Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong

Neurocomputing, 2020

Anomaly detection for elderly home care.

Kurnianingsih, Lukito Edi Nugroho, Widyawan, Lutfan Lazuardi, Anton Satria Prabuwono, Mahardhika Pratama

Int. J. Bus. Intell. Data Min., 2020

Percolation Theories for Multipartite Networked Systems under Random Failures.

Qing Cai, Sameer Alam, Mahardhika Pratama, Zhen Wang

Complex., 2020

Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt

Artif. Intell. Rev., 2020

A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario.

Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting.

Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI.

Abhay M. S. Aradhya, Suresh Sundaram, Mahardhika Pratama

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Subject-independent Classification on Brain-Computer Interface using Autonomous Deep Learning for finger movement recognition.

Khairul Anam, Saiful Bukhori, Faruq Sandi Hanggara, Mahardhika Pratama

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems.

Choiru Za'in, Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Eric Pardede

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Online Sequential Ensembling of Fuzzy Systems.

Edwin Lughofer, Mahardhika Pratama

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario.

Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt

IEEE Trans. Fuzzy Syst., 2019

Evolving large-scale data stream analytics based on scalable PANFIS.

Choiru Za'in, Mahardhika Pratama, Eric Pardede

Knowl. Based Syst., 2019

Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system.

Nguyen Anh, Suresh Sundaram, Mahardhika Pratama, Narasimalu Srikanth

Knowl. Based Syst., 2019

Metacognitive learning approach for online tool condition monitoring.

Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer

J. Intell. Manuf., 2019

Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

J. Artif. Intell. Soft Comput. Res., 2019

A novel Spatio-Temporal Fuzzy Inference System (SPATFIS) and its stability analysis.

Subhrajit Samanta, Mahardhika Pratama, Suresh Sundaram

Inf. Sci., 2019

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams.

Mahardhika Pratama, Dianhui Wang

Inf. Sci., 2019

Toward Underground Localization: Lidar Inertial Odometry Enabled Aerial Robot Navigation.

Jiun Fatt Chow, Basaran Bahadir Kocer, John Henawy, Gerald Seet, Zhengguo Li, Wei-Yun Yau, Mahardhika Pratama

CoRR, 2019

Real-time UAV Complex Missions Leveraging Self-Adaptive Controller with Elastic Structure.

Mohamad Abdul Hady, Basaran Bahadir Kocer, Harikumar Kandath, Mahardhika Pratama

CoRR, 2019

Interdependency and Vulnerability of Multipartite Networks under Target Node Attacks.

Qing Cai, Mahardhika Pratama, Sameer Alam

Complex., 2019

Online identification of a rotary wing Unmanned Aerial Vehicle from data streams.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt

Appl. Soft Comput., 2019

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing.

Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li

IEEE Access, 2019

Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments.

Andri Ashfahani, Mahardhika Pratama

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC.

Basaran Bahadir Kocer, Mehmet Efe Tiryaki, Mahardhika Pratama, Tegoeh Tjahjowidodo, Gerald Gim Lee Seet

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation.

Subhrajit Samanta, Andre Hartanto, Mahardhika Pratama, Suresh Sundaram, Narasimalu Srikanth

Proceedings of the International Joint Conference on Neural Networks, 2019

FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification.

Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta

Proceedings of the International Joint Conference on Neural Networks, 2019

Wireless Indoor Positioning Using Online Machine Learning.

Sheng Huang, Andri Ashfahani, Mahardhika Pratama

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification.

Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Robust Evolving Neuro-Fuzzy Control of a Novel Tilt-rotor Vertical Takeoff and Landing Aircraft.

Harikumar Kandath, Mohamad Abdul Hady, Mahardhika Pratama, Bing Feng Ng

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter.

Md Meftahul Ferdaus, Mohamad Abdul Hady, Mahardhika Pratama, Harikumar Kandath, Sreenatha G. Anavatti

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples.

Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

ATL: Autonomous Knowledge Transfer from Many Streaming Processes.

Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Weakly Supervised Deep Learning Approach in Streaming Environments.

Mahardhika Pratama, Andri Ashfahani, Mohamad Abdul Hady

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI.

Abhay M. S. Aradhya, Aditya Joglekar, Suresh Sundaram, Mahardhika Pratama

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Evolving Ensemble Fuzzy Classifier.

Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer

IEEE Trans. Fuzzy Syst., 2018

Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation.

Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc

IEEE Trans. Fuzzy Syst., 2018

Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models.

Edwin Lughofer, Mahardhika Pratama

IEEE Trans. Fuzzy Syst., 2018

Parsimonious random vector functional link network for data streams.

Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er

Inf. Sci., 2018

Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality.

Edwin Lughofer, Robert Pollak, Alexandru-Ciprian Zavoianu, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Julia Haim, Thomas Radauer

Eng. Appl. Artif. Intell., 2018

Sentiment analysis: An automatic contextual analysis and ensemble clustering approach and comparison.

Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama

Data Knowl. Eng., 2018

UAV Control in Close Proximities - Ceiling Effect on Battery Lifetime.

Basaran Bahadir Kocer, Volkan Kumtepeli, Tegoeh Tjahjowidodo, Mahardhika Pratama, Anshuman Tripathi, Gerald Seet Gim Lee, Youyi Wang

CoRR, 2018

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams.

Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer

CoRR, 2018

An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams.

Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb

CoRR, 2018

Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams.

Mahardhika Pratama, Dianhui Wang

CoRR, 2018

An Online RFID Localization in the Manufacturing Shopfloor.

Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Sheng Huang

CoRR, 2018

Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis.

Wahyu Caesarendra, Mahardhika Pratama, Tegoeh Tjahjowidodo, Kiet Tieu, Buyung Kosasih

CoRR, 2018

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management.

Mahardhika Pratama, Edwin Lughofer, Suresh Sundaram, Moamar Sayed Mouchaweh, Igor Skrjanc, Fahed Mostafa

Appl. Soft Comput., 2018

A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Improving shallow neural network by compressing deep neural network.

Marcus de Carvalho, Mahardhika Pratama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems.

Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Big Data Analytic Based on Scalable PANFIS for RFID Localization.

Choiru Za'in, Mahardhika Pratama, Andri Ashfahani, Eric Pardede, Sheng Huang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Big Data Analytics based on PANFIS MapReduce.

Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Online video streaming for human tracking based on weighted resampling particle filter.

Mukesh Prasad, Liang-Cheng Chang, Deepak Gupta, Mahardhika Pratama, Suresh Sundaram, Chin-Teng Lin

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Similarity Measures in Development of an Indoor Localization System.

Sheng Huang, Syed Shoaib, Andri Ashfahani, Mahardhika Pratama

Proceedings of the 15th International Conference on Control, 2018

The Study on Indoor Localization for Manufacturing Execution System.

Sheng Huang, Sudeep Mohanty, Andri Ashfahani, Mahardhika Pratama

Proceedings of the 15th International Conference on Control, 2018

Evolving time-series based prediction models for quality criteria in a multi-stage production process.

Edwin Lughofer, Robert Pollak, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Jasmin Lehner, Thomas Radauer, Mahardhika Pratama

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017

An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks.

Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er

IEEE Trans. Fuzzy Syst., 2017

Multiview Convolutional Neural Networks for Multidocument Extractive Summarization.

Yong Zhang, Meng Joo Er, Rui Zhao, Mahardhika Pratama

IEEE Trans. Cybern., 2017

An Incremental Type-2 Meta-Cognitive Extreme Learning Machine.

Mahardhika Pratama, Guangquan Zhang, Meng Joo Er, Sreenatha G. Anavatti

IEEE Trans. Cybern., 2017

Online real-time learning strategies for data streams for Neurocomputing.

Mahardhika Pratama, Edwin Lughofer, Dianhui Wang

Neurocomputing, 2017

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network.

Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim

Neurocomputing, 2017

pClass+: A Novel Evolving Semi-Supervised Classifier.

Mahardhika Pratama, Edwin Lughofer, Chee Peng Lim, Wenny Rahayu, Tharam S. Dillon, Agus Budiyono

Int. J. Fuzzy Syst., 2017

Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage.

Edwin Lughofer, Stefan Kindermann, Mahardhika Pratama, José de Jesús Rubio

Int. J. Fuzzy Syst., 2017

A novel online multi-label classifier for high-speed streaming data applications.

Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu

Evol. Syst., 2017

PANFIS++: A Generalized Approach to Evolving Learning.

Mahardhika Pratama

CoRR, 2017

An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis.

Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama

CoRR, 2017

Evolving type-2 web news mining.

Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Sreenatha G. Anavatti

Appl. Soft Comput., 2017

Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion.

Jagendra Singh, Mukesh Prasad, Yousef-Awwad Daraghmi, Prayag Tiwari, Pranay Yadav, Neha Bharill, Mahardhika Pratama, Amit Saxena

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle.

Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A randomized neural network for data streams.

Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robust Facial Alignment for Face Recognition.

Kuang-Pen Chou, Dong-Lin Li, Mukesh Prasad, Mahardhika Pratama, Sheng-Yao Su, Haiyan Lu, Chin-Teng Lin, Wen-Chieh Lin

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter.

Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017

Incremental rule splitting in generalized evolving fuzzy regression models.

Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016

Evolving Type-2 Fuzzy Classifier.

Mahardhika Pratama, Jie Lu, Guangquan Zhang

IEEE Trans. Fuzzy Syst., 2016

Attention pooling-based convolutional neural network for sentence modelling.

Meng Joo Er, Yong Zhang, Ning Wang, Mahardhika Pratama

Inf. Sci., 2016

Scaffolding type-2 classifier for incremental learning under concept drifts.

Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti

Neurocomputing, 2016

An incremental meta-cognitive-based scaffolding fuzzy neural network.

Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim

Neurocomputing, 2016

User-Level Twitter Sentiment Analysis with a Hybrid Approach.

Meng Joo Er, Fan Liu, Ning Wang, Yong Zhang, Mahardhika Pratama

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Sentiment classification using Comprehensive Attention Recurrent models.

Yong Zhang, Meng Joo Er, Rajasekar Venkatesan, Ning Wang, Mahardhika Pratama

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A novel online real-time classifier for multi-label data streams.

Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu, Mahardhika Pratama

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evolving type-2 recurrent fuzzy neural network.

Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, J. Wenny Rahayu, Tharam S. Dillon

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Extractive document summarization based on convolutional neural networks.

Yong Zhang, Meng Joo Er, Mahardhika Pratama

Proceedings of the IECON 2016, 2016

Simultaneous replanning with vectorized particle swarm optimization algorithm.

Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama

Proceedings of the 14th International Conference on Control, 2016

A hybrid algorithm for efficient path planning of autonomous ground vehicles.

Sreenatha G. Anavatti, Sumana Biswas, Jedd T. Colvin, Mahardhika Pratama

Proceedings of the 14th International Conference on Control, 2016

2015

Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm.

Mahardhika Pratama, Sreenatha G. Anavatti, Jie Lu

IEEE Trans. Fuzzy Syst., 2015

pClass: An Effective Classifier for Streaming Examples.

Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, Edwin Lughofer

IEEE Trans. Fuzzy Syst., 2015

Generalized smart evolving fuzzy systems.

Edwin Lughofer, Carlos Cernuda, Stefan Kindermann, Mahardhika Pratama

Evol. Syst., 2015

A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams.

Mahardhika Pratama, Jie Lu, Guangquan Zhang

Proceedings of the 2015 IEEE International Conference on Systems, 2015

An incremental interval Type-2 neural fuzzy Classifier.

Mahardhika Pratama, Jie Lu, Guangquan Zhang

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments.

Mahardhika Pratama

PhD thesis, 2014

PANFIS: A Novel Incremental Learning Machine.

Mahardhika Pratama, Sreenatha G. Anavatti, Plamen P. Angelov, Edwin Lughofer

IEEE Trans. Neural Networks Learn. Syst., 2014

GENEFIS: Toward an Effective Localist Network.

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer

IEEE Trans. Fuzzy Syst., 2014

An Incremental Classifier from Data Streams.

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems.

Mahardhika Pratama, Meng Joo Er, Sreenatha G. Anavatti, Edwin Lughofer, Ning Wang, Imam Arifin

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A recurrent meta-cognitive-based Scaffolding classifier from data streams.

Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

2013

Data driven modeling based on dynamic parsimonious fuzzy neural network.

Mahardhika Pratama, Meng Joo Er, Xiang Li, Richard Jayadi Oentaryo, Edwin Lughofer, Imam Arifin

Neurocomputing, 2013

Generalized Flexible Fuzzy Inference Systems.

Edwin Lughofer, Carlos Cernuda, Mahardhika Pratama

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Evolving fuzzy rule-based classifier based on GENEFIS.

Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer

Proceedings of the FUZZ-IEEE 2013, 2013

Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system.

Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

2011

Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification.

Mahardhika Pratama, Meng Joo Er, Xiang Li, Linn San, J. O. Richard, Lain-Yin Zhai, Amin Jahromi Torabi, Imam Arifin

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011