Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification. - Mahardhika Pratama; Meng Joo Er; Xiang Li 040; Linn San; J. O. Richard; Lain-Yin Zhai; Amin Jahromi Torabi; Imam Arifin (ISNN (2), 2011)

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 (EAIS, 2013)

Evolving fuzzy rule-based classifier based on GENEFIS. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (FUZZ-IEEE, 2013)

Generalized Flexible Fuzzy Inference Systems. - Edwin Lughofer; Carlos Cernuda; Mahardhika Pratama (ICMLA (2), 2013)

Data driven modeling based on dynamic parsimonious fuzzy neural network. - Mahardhika Pratama; Meng Joo Er; Xiang Li 040; Richard Jayadi Oentaryo; Edwin Lughofer; Imam Arifin (Neurocomputing, 2013)

A recurrent meta-cognitive-based Scaffolding classifier from data streams. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; José Antonio Iglesias 001 (EALS, 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 002; Imam Arifin (FUZZ-IEEE, 2014)

An Incremental Classifier from Data Streams. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (SETN, 2014)

GENEFIS: Toward an Effective Localist Network. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2014)

PANFIS: A Novel Incremental Learning Machine. - Mahardhika Pratama; Sreenatha G. Anavatti; Plamen P. Angelov; Edwin Lughofer (IEEE Trans. Neural Networks Learn. Syst., 2014)

Development of a Novel Evolving Neuro-Fuzzy System for Learning in Non-Stationary Environments. - Mahardhika Pratama (2014)

An incremental interval Type-2 neural fuzzy Classifier. - Mahardhika Pratama; Jie Lu 001; Guangquan Zhang 001 (FUZZ-IEEE, 2015)

A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams. - Mahardhika Pratama; Jie Lu 001; Guangquan Zhang 001 (SMC, 2015)

Generalized smart evolving fuzzy systems. - Edwin Lughofer; Carlos Cernuda; Stefan Kindermann 001; Mahardhika Pratama (Evol. Syst., 2015)

pClass: An Effective Classifier for Streaming Examples. - Mahardhika Pratama; Sreenatha G. Anavatti; Meng Joo Er; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2015)

Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm. - Mahardhika Pratama; Sreenatha G. Anavatti; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2015)

A hybrid algorithm for efficient path planning of autonomous ground vehicles. - Sreenatha G. Anavatti; Sumana Biswas; Jedd T. Colvin; Mahardhika Pratama (ICARCV, 2016)

Simultaneous replanning with vectorized particle swarm optimization algorithm. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (ICARCV, 2016)

Extractive document summarization based on convolutional neural networks. - Yong Zhang 007; Meng Joo Er; Mahardhika Pratama (IECON, 2016)

Evolving type-2 recurrent fuzzy neural network. - Mahardhika Pratama; Edwin Lughofer; Meng Joo Er; J. Wenny Rahayu; Tharam S. Dillon (IJCNN, 2016)

A novel online real-time classifier for multi-label data streams. - Rajasekar Venkatesan; Meng Joo Er; Shiqian Wu; Mahardhika Pratama (IJCNN, 2016)

Sentiment classification using Comprehensive Attention Recurrent models. - Yong Zhang 007; Meng Joo Er; Rajasekar Venkatesan; Ning Wang 002; Mahardhika Pratama (IJCNN, 2016)

User-Level Twitter Sentiment Analysis with a Hybrid Approach. - Meng Joo Er; Fan Liu 001; Ning Wang 002; Yong Zhang 007; Mahardhika Pratama (ISNN, 2016)

An incremental meta-cognitive-based scaffolding fuzzy neural network. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; Edwin Lughofer; Chee Peng Lim (Neurocomputing, 2016)

Scaffolding type-2 classifier for incremental learning under concept drifts. - Mahardhika Pratama; Jie Lu 001; Edwin Lughofer; Guangquan Zhang 001; Sreenatha G. Anavatti (Neurocomputing, 2016)

Attention pooling-based convolutional neural network for sentence modelling. - Meng Joo Er; Yong Zhang 007; Ning Wang 002; Mahardhika Pratama (Inf. Sci., 2016)

Evolving Type-2 Fuzzy Classifier. - Mahardhika Pratama; Jie Lu 001; Guangquan Zhang 001 (IEEE Trans. Fuzzy Syst., 2016)

Incremental rule splitting in generalized evolving fuzzy regression models. - Edwin Lughofer; Mahardhika Pratama; Igor Skrjanc (EAIS, 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 (ICACI, 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 (ICONIP (3), 2017)

A randomized neural network for data streams. - Mahardhika Pratama; Plamen P. Angelov; Jie Lu 001; Edwin Lughofer; Manjeevan Seera; Chee Peng Lim (IJCNN, 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 (SSCI, 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 (SSCI, 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 001 (SSCI, 2017)

Evolving type-2 web news mining. - Choiru Za'in; Mahardhika Pratama; Edwin Lughofer; Sreenatha G. Anavatti (Appl. Soft Comput., 2017)

An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis. - Murtadha Talib AL-Sharuee; Fei Liu 003; Mahardhika Pratama (CoRR, 2017)

PANFIS++: A Generalized Approach to Evolving Learning. - Mahardhika Pratama (CoRR, 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)

Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage. - Edwin Lughofer; Stefan Kindermann 001; Mahardhika Pratama; José de Jesús Rubio (Int. J. Fuzzy Syst., 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)

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)

Online real-time learning strategies for data streams for Neurocomputing. - Mahardhika Pratama; Edwin Lughofer; Dianhui Wang 001 (Neurocomputing, 2017)

An Incremental Type-2 Meta-Cognitive Extreme Learning Machine. - Mahardhika Pratama; Guangquan Zhang 001; Meng Joo Er; Sreenatha G. Anavatti (IEEE Trans. Cybern., 2017)

Multiview Convolutional Neural Networks for Multidocument Extractive Summarization. - Yong Zhang 007; Meng Joo Er; Rui Zhao 004; Mahardhika Pratama (IEEE Trans. Cybern., 2017)

An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. - Mahardhika Pratama; Jie Lu 001; Edwin Lughofer; Guangquan Zhang 001; Meng Joo Er (IEEE Trans. Fuzzy Syst., 2017)

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 (EAIS, 2018)

The Study on Indoor Localization for Manufacturing Execution System. - Sheng Huang 006; Sudeep Mohanty; Andri Ashfahani; Mahardhika Pratama (ICARCV, 2018)

Similarity Measures in Development of an Indoor Localization System. - Sheng Huang 006; Syed Shoaib; Andri Ashfahani; Mahardhika Pratama (ICARCV, 2018)

Online video streaming for human tracking based on weighted resampling particle filter. - Mukesh Prasad; Liang-Cheng Chang; Deepak Gupta 004; Mahardhika Pratama; Suresh Sundaram 002; Chin-Teng Lin (INNS Conference on Big Data, 2018)

Big Data Analytics based on PANFIS MapReduce. - Choiru Za'in; Mahardhika Pratama; Edwin Lughofer; Md Meftahul Ferdaus; Qing Cai; Mukesh Prasad (INNS Conference on Big Data, 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 (SMC, 2018)

Big Data Analytic Based on Scalable PANFIS for RFID Localization. - Choiru Za'in; Mahardhika Pratama; Andri Ashfahani; Eric Pardede; Sheng Huang 006 (SMC, 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 (SSCI, 2018)

Improving shallow neural network by compressing deep neural network. - Marcus de Carvalho; Mahardhika Pratama (SSCI, 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 (SSCI, 2018)

Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. - Mahardhika Pratama; Edwin Lughofer; Suresh Sundaram 002; Moamar Sayed-Mouchaweh; Igor Skrjanc; Fahed Mostafa (Appl. Soft Comput., 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)

An Online RFID Localization in the Manufacturing Shopfloor. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Qing Cai; Sheng Huang 006 (CoRR, 2018)

Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. - Mahardhika Pratama; Dianhui Wang 001 (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)

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)

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)

Sentiment analysis: An automatic contextual analysis and ensemble clustering approach and comparison. - Murtadha Talib AL-Sharuee; Fei Liu 003; Mahardhika Pratama (Data Knowl. Eng., 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)

Parsimonious random vector functional link network for data streams. - Mahardhika Pratama; Plamen P. Angelov; Edwin Lughofer; Meng Joo Er (Inf. Sci., 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)

Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. - Edwin Lughofer; Mahardhika Pratama; Igor Skrjanc (IEEE Trans. Fuzzy Syst., 2018)

Evolving Ensemble Fuzzy Classifier. - Mahardhika Pratama; Witold Pedrycz; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2018)

Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. - Abhay M. S. Aradhya; Aditya Joglekar; Suresh Sundaram 002; Mahardhika Pratama (AAAI, 2019)

Weakly Supervised Deep Learning Approach in Streaming Environments. - Mahardhika Pratama; Andri Ashfahani; Mohamad Abdul Hady (IEEE BigData, 2019)

ATL: Autonomous Knowledge Transfer from Many Streaming Processes. - Mahardhika Pratama; Marcus de Carvalho; Renchunzi Xie; Edwin Lughofer; Jie Lu 001 (CIKM, 2019)

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. - Mahardhika Pratama; Choiru Za'in; Andri Ashfahani; Yew-Soon Ong; Weiping Ding 001 (CIKM, 2019)

RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter. - Md Meftahul Ferdaus; Mohamad Abdul Hady; Mahardhika Pratama; Harikumar Kandath 001; Sreenatha G. Anavatti (FUZZ-IEEE, 2019)

Robust Evolving Neuro-Fuzzy Control of a Novel Tilt-rotor Vertical Takeoff and Landing Aircraft. - Harikumar Kandath 001; Mohamad Abdul Hady; Mahardhika Pratama; Bing Feng Ng (FUZZ-IEEE, 2019)

MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. - Monidipa Das; Mahardhika Pratama; Septiviana Savitri; Jie Zhang 002 (ICDM, 2019)

Wireless Indoor Positioning Using Online Machine Learning. - Sheng Huang 006; Andri Ashfahani; Mahardhika Pratama (ICMLA, 2019)

FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. - Monidipa Das; Mahardhika Pratama; Andri Ashfahani; Subhrajit Samanta (IJCNN, 2019)

RIT2FIS: A Recurrent Interval Type 2 Fuzzy Inference System and its Rule Base Estimation. - Subhrajit Samanta; Andre Hartanto; Mahardhika Pratama; Suresh Sundaram 002; Narasimalu Srikanth (IJCNN, 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 (IROS, 2019)

Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. - Andri Ashfahani; Mahardhika Pratama (SDM, 2019)

Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2019)

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. - Weiping Ding 001; Gary G. Yen; Gleb Beliakov; Isaac Triguero; Mahardhika Pratama; Xiangliang Zhang 001; Hongjun Li (IEEE Access, 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)

Interdependency and Vulnerability of Multipartite Networks under Target Node Attacks. - Qing Cai; Mahardhika Pratama; Sameer Alam (Complex., 2019)

Real-time UAV Complex Missions Leveraging Self-Adaptive Controller with Elastic Structure. - Mohamad Abdul Hady; Basaran Bahadir Kocer; Harikumar Kandath 001; Mahardhika Pratama (CoRR, 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)

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. - Mahardhika Pratama; Dianhui Wang 001 (Inf. Sci., 2019)

A novel Spatio-Temporal Fuzzy Inference System (SPATFIS) and its stability analysis. - Subhrajit Samanta; Mahardhika Pratama; Suresh Sundaram 002 (Inf. Sci., 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)

Metacognitive learning approach for online tool condition monitoring. - Mahardhika Pratama; Eric Dimla; Chow Yin Lai; Edwin Lughofer (J. Intell. Manuf., 2019)

Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system. - Nguyen Anh; Suresh Sundaram 002; Mahardhika Pratama; Narasimalu Srikanth (Knowl. Based Syst., 2019)

Evolving large-scale data stream analytics based on scalable PANFIS. - Choiru Za'in; Mahardhika Pratama; Eric Pardede (Knowl. Based Syst., 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)

A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. - Monidipa Das; Mahardhika Pratama; Jie Zhang 002; Yew-Soon Ong (AAAI, 2020)

Online Sequential Ensembling of Fuzzy Systems. - Edwin Lughofer; Mahardhika Pratama (EAIS, 2020)

Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. - Choiru Za'in; Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Eric Pardede (EAIS, 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 (EMBC, 2020)

Metaheuristic Spatial Transformation (MST) for accurate detection of Attention Deficit Hyperactivity Disorder (ADHD) using rs-fMRI. - Abhay M. S. Aradhya; Suresh Sundaram 002; Mahardhika Pratama (EMBC, 2020)

A Dual Network Solution (DNS) for Lag-Free Time Series Forecasting. - Subhrajit Samanta; Mahardhika Pratama; Suresh Sundaram 002; Narasimalu Srikanth (IJCNN, 2020)

A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario. - Monidipa Das; Mahardhika Pratama; Tegoeh Tjahjowidodo (KDD, 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)

Percolation Theories for Multipartite Networked Systems under Random Failures. - Qing Cai; Sameer Alam; Mahardhika Pratama; Zhen Wang 004 (Complex., 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)

DEVDAN: Deep evolving denoising autoencoder. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Yew-Soon Ong (Neurocomputing, 2020)

Learning elastic memory online for fast time series forecasting. - Subhrajit Samanta; Mahardhika Pratama; Suresh Sundaram 002; Narasimalu Srikanth (Neurocomputing, 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)

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)

Online Tool Condition Monitoring Based on Parsimonious Ensemble+. - Mahardhika Pratama; Eric Dimla; Tegoeh Tjahjowidodo; Witold Pedrycz; Edwin Lughofer (IEEE Trans. Cybern., 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 001 (IEEE Trans. Fuzzy Syst., 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)

Breakup of Directed Multipartite Networks. - Qing Cai; Mahardhika Pratama; Sameer Alam; Chunyao Ma; Jiming Liu 001 (IEEE Trans. Netw. Sci. Eng., 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 001 (ACM Trans. Spatial Algorithms Syst., 2020)

Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. - Appan Rakaraddi; Mahardhika Pratama (IEEE BigData, 2021)

Deep Neuromorphic Controller with Dynamic Topology for Aerial Robots. - Basaran Bahadir Kocer; Mohamad Abdul Hady; Harikumar Kandath 001; Mahardhika Pratama; Mirko Kovac (ICRA, 2021)

Autonomous Deep Quality Monitoring in Streaming Environments. - Andri Ashfahani; Mahardhika Pratama; Edwin Lughofer; Edward Kien Yee Yapp (IJCNN, 2021)

Cross-Lingual Summarization: English - Bahasa Indonesia. - Achmad F. Abka; Mahardhika Pratama; Wisnu Jatmiko (IWBIS, 2021)

A Modest System of Feature-based Stereo Visual Odometry. - William Gates; Grafika Jati; P. Riskyana Dewi Intan; Mahardhika Pratama; Wisnu Jatmiko (IWBIS, 2021)

Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. - Mahardhika Pratama; Andri Ashfahani; Edwin Lughofer (CSSL, 2021)

Sentiment analysis: dynamic and temporal clustering of product reviews. - Murtadha Talib AL-Sharuee; Fei Liu 003; Mahardhika Pratama (Appl. Intell., 2021)

Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process. - Weiwei Weng; Mahardhika Pratama; Andri Ashfahani; Edward Kien Yee Yapp (Complex., 2021)

Online bagging of evolving fuzzy systems. - Edwin Lughofer; Mahardhika Pratama; Igor Skrjanc (Inf. Sci., 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)

Continual learning via inter-task synaptic mapping. - Fubing Mao; Weiwei Weng; Mahardhika Pratama; Edward Kien Yee Yapp (Knowl. Based Syst., 2021)

Bayesian Neuro-Fuzzy Inference System for Temporal Dependence Estimation. - Subhrajit Samanta; Mahardhika Pratama; Suresh Sundaram 002 (IEEE Trans. Fuzzy 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)

Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory. - Qing Cai; Sameer Alam; Mahardhika Pratama; Jiming Liu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Reinforced Continual Learning for Graphs. - Appan Rakaraddi; Siew-Kei Lam; Mahardhika Pratama; Marcus de Carvalho (CIKM, 2022)

Latent Preserving Generative Adversarial Network for Imbalance Classification. - Tanmoy Dam; Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (ICIP, 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 (IWBIS, 2022)

Class-Incremental Learning via Knowledge Amalgamation. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Yajuan Sun (ECML/PKDD (3), 2022)

Scalable Adversarial Online Continual Learning. - Tanmoy Dam; Mahardhika Pratama; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Hussein A. Abbass (ECML/PKDD (3), 2022)

Adaptive Latent Transformation (ALT) for classification of resting state - fMRI. - Abhay M. S. Aradhya; Gaurav Sharma; Mahardhika Pratama; Suresh Sundaram 002 (SSCI, 2022)

Online sequential ensembling of predictive fuzzy systems. - Edwin Lughofer; Mahardhika Pratama (Evol. Syst., 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 002 (Inf. Sci., 2022)

Editorial: Special issue on recent progress in autonomous machine learning. - Mahardhika Pratama; Edwin Lughofer; Plamen P. Angelov (Inf. Sci., 2022)

Automatic online multi-source domain adaptation. - Renchunzi Xie; Mahardhika Pratama (Inf. Sci., 2022)

ACDC: Online unsupervised cross-domain adaptation. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Edward Kien Yee Yapp (Knowl. Based Syst., 2022)

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 (IJCNN, 2023)

Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. - Edwin Lughofer; Mahardhika Pratama (Inf. Fusion, 2023)

Assessor-guided learning for continual environments. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Edwin Lughofer; Weiping Ding 001; Wisnu Jatmiko (Inf. Sci., 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., 2023)

Unsupervised Continual Learning in Streaming Environments. - Andri Ashfahani; Mahardhika Pratama (IEEE Trans. Neural Networks Learn. Syst., 2023)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (CIKM, 2024)

Towards Cross-Domain Continual Learning. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Haoyan Chua; Edward Kien Yee Yapp (ICDE, 2024)

Graph Mining under Data scarcity. - Appan Rakaraddi; Siew-Kei Lam; Mahardhika Pratama; Marcus de Carvalho (IJCNN, 2024)

A Survey on Hyperparameters Optimization of Deep Learning for Time Series Classification. - Ayuningtyas Hari Fristiana; Syukron Abu Ishaq Alfarozi; Adhistya Erna Permanasari; Mahardhika Pratama; Sunu Wibirama (IEEE Access, 2024)

Cross-Domain Continual Learning via CLAMP. - Weiwei Weng; Mahardhika Pratama; Jie Zhang 002; Chen Chen; Edward Kien Yee Yapp; Savitha Ramasamy (CoRR, 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)

Cross-domain continual learning via CLAMP. - Weiwei Weng; Mahardhika Pratama; Jie Zhang 002; Chen Chen; Edward Kien Yee Yapp; Ramasamy Savitha (Inf. Sci., 2024)

Mixup domain adaptations for dynamic remaining useful life predictions. - Muhammad Tanzil Furqon; Mahardhika Pratama; Lin Liu 003; Habibullah Habibullah; Kutluyil Dogancay (Knowl. Based Syst., 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)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Ramasamy Savitha; Lin Liu 003; Habibullah; Ryszard Kowalczyk (IEEE Trans. Geosci. Remote. Sens., 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., 2024)

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Mahardhika Pratama; Witold Pedrycz (IEEE Trans. Emerg. Top. Comput. Intell., 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 003; Habibullah Habibullah; Ryszard Kowalczyk (IEEE Trans. Artif. Intell., 2024)

Federated Few-Shot Class-Incremental Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Lin Liu 003; Habibullah; Ryszard Kowalczyk (ICLR, 2025)

Vision and Language Synergy for Rehearsal Free Continual Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah; Ryszard Kowalczyk (ICLR, 2025)

Time and frequency synergy for source-free time-series domain adaptations. - Muhammad Tanzil Furqon; Mahardhika Pratama; Ary Mazharuddin Shiddiqi; Lin Liu 003; Habibullah Habibullah; Kutluyil Dogancay (Inf. Sci., 2025)

Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning. - M. Anwar Ma'sum; Mahardhika Pratama; Igor Skrjanc (CoRR, 2025)

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey. - Mohamad A. Hady; Siyi Hu; Mahardhika Pratama; Jimmy Cao; Ryszard Kowalczyk (CoRR, 2025)

Onboard Optimization and Learning: A Survey. - Monirul Islam Pavel; Siyi Hu; Mahardhika Pratama; Ryszard Kowalczyk (CoRR, 2025)

Few-Shot Continual Learning via Flat-to-Wide Approaches. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Edwin Lughofer; Lin Liu 003; Habibullah; Ryszard Kowalczyk (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-Agent Reinforcement Learning for Autonomous Multi-Satellite Earth Observation: A Realistic Case Study. - Mohamad A. Hady; Siyi Hu; Mahardhika Pratama; Jimmy Cao; Ryszard Kowalczyk (CoRR, 2025)

Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review. - Siyi Hu; Mohamad A. Hady; Jianglin Qiao; Jimmy Cao; Mahardhika Pratama; Ryszard Kowalczyk (CoRR, 2025)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. - M. Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (CoRR, 2025)

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation. - Naeem Paeedeh; Mahardhika Pratama; Wolfgang Mayer; Jimmy Cao; Ryszard Kowlczyk (CoRR, 2025)

Multi-agent reinforcement learning for resources allocation optimization: a survey. - Mohamad A. Hady; Siyi Hu; Mahardhika Pratama; Zehong Cao; Ryszard Kowalczyk (Artif. Intell. Rev., 2025)