Enhanced adaptive traffic signal control system using camera sensor and embedded system. - Faris Al Afif; M. Febrian Rachmadi; Adi Wibowo; Wisnu Jatmiko; Petrus Mursanto; M. Anwar Ma'sum (MHS, 2011)

Autonomous quadcopter swarm robots for object localization and tracking. - M. Anwar Ma'sum; Grafika Jati; M. Kholid Arrofi; Adi Wibowo; Petrus Mursanto; Wisnu Jatmiko (MHS, 2013)

Automatic fetal head approximation using Particle Swarm Optimization based Gaussian Elliptical Path. - M. Anwar Ma'sum; N. Rahmah; Hadaiq Rolis Sanabila; Hanif Arif Wisesa; Wisnu Jatmiko (MHS, 2015)

Implementation of grid mapped robot planning algorithm in a continuous map for fire fighting robot. - Sumarsih Condroayu Purbarani; Qurrotin A'yunina Moa; Grafika Jati; Muhammad Anwar Ma'sum; Hanif Arif Wisesa; Wisnu Jatmiko (MHS, 2015)

A review of big data analytics in the biomedical field. - Wisnu Jatmiko; Dewa Made Sri Arsa; Hanif Arif Wisesa; Grafika Jati; M. Anwar Ma'sum (IWBIS, 2016)

Design of intelligent k-means based on spark for big data clustering. - Ilham Kusuma; M. Anwar Ma'sum; Novian Habibie; Wisnu Jatmiko; Heru Suhartanto (IWBIS, 2016)

Enhanced tele ECG system using Hadoop framework to deal with big data processing. - M. Anwar Ma'sum; Wisnu Jatmiko; Heru Suhartanto (IWBIS, 2016)

Processing big data with decision trees: A case study in large traffic data. - Hanif Arief Wisesa; M. Anwar Ma'sum; Petrus Mursanto; Andreas Febrian (IWBIS, 2016)

Adaptive range in FIMT-DD tree for large data streams. - Hanif Arief Wisesa; M. Anwar Ma'sum; Ari Wibisono (IWBIS, 2016)

Optimization of Stacked Unsupervised Extreme Learning Machine to improve classifier performance. - Dewa Made Sri Arsa; M. Anwar Ma'sum; Muhammad Febrian Rachmadi; Wisnu Jatmiko (IWBIS, 2017)

Enhance generalized learning vector quantization using unsupervised extreme learning machine and intelligent K-means clustering. - M. Anwar Ma'sum; Dewa Made Sri Arsa; Novian Habibie; Wisnu Jatmiko (IWBIS, 2017)

Comparative analysis of ant colony extended and mix-min ant system in software project scheduling problem. - Valdi Rachman; M. Anwar Ma'sum (IWBIS, 2017)

Fruit mapping mobile robot on simulated agricultural area in Gazebo simulator using simultaneous localization and mapping (SLAM). - Novian Habibie; Aditya Murda Nugraha; Ahmad Zaki Anshori; M. Anwar Ma'sum; Wisnu Jatmiko (MHS, 2017)

Telebiometric system for infant and toddler fingerprint recognition. - M. Anwar Ma'sum; I Gede Wahyu Surya Dharma; Dewa Made Sri Arsa; Wisnu Jatmiko; Setiadi Yazid; Aniati Murni Arymurthy (MHS, 2017)

Seasonal time series exploration using conditional probabilistic graphical approach. - Sumarsih Condroayu Purbarani; Hadaiq Rolis Sanabila; M. Anwar Ma'sum; Wisnu Jatmiko (MHS, 2017)

Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition. - I Gede Wahyu Surya Dharma; Muhammad Anwar Ma'sum; Wisnu Jatmiko; Muhammad Hafizhuddin Hilman (IWBIS, 2018)

Multicodebook Neural Network Using Intelligent K-Means Clustering Based on Histogram Information for Multimodal Data Classification. - Muhammad Anwar Ma'sum; Dewa Made Sri Arsa; Indra Hermawan; Wisnu Jatmiko; Adi Nurhadiyatna (IWBIS, 2018)

Kinematics and Dynamics Analysis of an Autonomous Three-wheeled Bicycle Modeling. - Noverina Alfiany; Nur Hamid; Grafika Jati; M. Anwar Ma'sum; Wisnu Jatmiko (ACIRS, 2019)

3D Edge Convolution in Deep Neural Network Implementation for Land Cover Semantic Segmentation of Airborne LiDAR Data. - Nur Hamid; Ari Wibisono; M. Anwar Ma'sum; Ahmad Gamal; Roni Ardhianto; Aniati Murni Arymurthy; Wisnu Jatmiko (ACIRS, 2019)

Multi-codebook Fuzzy Neural Network Using Incremental Learning for Multimodal Data Classification. - M. Anwar Ma'sum; Wisnu Jatmiko (ACIRS, 2019)

Temporal feature and heuristics-based Noise Detection over Classical Machine Learning for ECG Signal Quality Assessment. - Indra Hermawan; M. Anwar Ma'sum; P. Riskyana Dewi Intan; Wisnu Jatmiko; Budi Wiweko; Alfred Boediman; Beno K. Pradekso (IWBIS, 2019)

Ensemble learning versus deep learning for Hypoxia detection in CTG signal. - P. Riskyana Dewi Intan; M. Anwar Ma'sum; Noverina Alfiany; Wisnu Jatmiko; Aria Kekalih; Alhadi Bustamam (IWBIS, 2019)

Improving Deep Learning Classifier for Fetus Hypoxia Detection in Cardiotocography Signal. - M. Anwar Ma'sum; P. Riskyana Dewi Intan; Wisnu Jatmiko; Adila Alfa Krisnadhi; Noor Akhmad Setiawan; I Made Agus Dwi Suarjaya (IWBIS, 2019)

Segmentation and Approximation of Blood Volume in Intracranial Hemorrhage Patients Based on Computed Tomography Scan Images Using Deep Learning Method. - Kezia Irene; M. Anwar Ma'sum; Reyhan Eddy Yunus; Wisnu Jatmiko (IWBIS, 2020)

Fast Ellipse Fitting Implementation on USG Mobile Telehealth Application. - Made Wira Dhanar Santika; Muhammad Anwar Ma'sum; Aria Kekalih; Alhadi Bustamam; Adila Alfa Krisnadhi; Noor Akhmad Setiawan; I Made Agus Dwi Suarjaya; Adi Nurhadiyatna; Wisnu Jatmiko (IWBIS, 2020)

Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification. - Muhammad Anwar Ma'sum; Hadaiq Rolis Sanabila; Petrus Mursanto; Wisnu Jatmiko (Comput., 2020)

Intelligent Clustering and Dynamic Incremental Learning to Generate Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification. - Muhammad Anwar Ma'sum (Symmetry, 2020)

Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI). - Wisnu Jatmiko; Andry Sunandar; M. Sakti Alvissalim; Muhammad Iqbal Tawakal; M. Febrian Rachmadi; M. Anwar Ma'sum; Hanif Arif Wisesa; Toshio Fukuda (IEEE Access, 2021)

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)

Generative adversarial networks for unbalanced fetal heart rate signal classification. - P. Riskyana Dewi Intan; M. Anwar Ma'sum; Machmud Roby Alhamidi; Kurnianingsih; Wisnu Jatmiko (ICT Express, 2022)

Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network. - Naili Suri Inthizami; M. Anwar Ma'sum; Machmud Roby Alhamidi; Ahmad Gamal; Ronni Ardhianto; Kurnianingsih; Wisnu Jatmiko (ICT Express, 2022)

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

Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data Classification. - Muhammad Anwar Ma'sum; Noverina Alfiany; Wisnu Jatmiko (IEEE Access, 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)

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)

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)

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)

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)