Muhammad Anwar Ma'sum

Muhammad Anwar Ma'sum

Universitas Indonesia

H-index: 14

Asia-Indonesia

About Muhammad Anwar Ma'sum

Muhammad Anwar Ma'sum, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Universitas Indonesia, specializes in the field of Artificial Intelligence, Machine Learning, Computer Vision, Big Data, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Cross-domain few-shot learning via adaptive transformer networks

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

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

Assessor-guided learning for continual environments

Generative adversarial networks for unbalanced fetal heart rate signal classification

Predicting Student Achievement before Final Exam: A Regression-Based Approach

Improving Convolutional Neural Network with Recurrent Model and Generative Adversarial Networks for Imbalance Classification of Wearable ECG Signal Quality Assessment

Manual Terrain V2. 0: Sistem Telehealth Pertumbuhan Janin V2. 0 Document Version: 11 September 2019 USER GUIDE

Muhammad Anwar Ma'sum Information

University

Position

Faculty of Computer Science

Citations(all)

856

Citations(since 2020)

599

Cited By

470

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

19

i10Index(since 2020)

16

Email

University Profile Page

Universitas Indonesia

Google Scholar

View Google Scholar Profile

Muhammad Anwar Ma'sum Skills & Research Interests

Artificial Intelligence

Machine Learning

Computer Vision

Big Data

Robotics

Top articles of Muhammad Anwar Ma'sum

Title

Journal

Author(s)

Publication Date

Cross-domain few-shot learning via adaptive transformer networks

Knowledge-Based Systems

Naeem Paeedeh

Mahardhika Pratama

Muhammad Anwar Ma’sum

Wolfgang Mayer

Zehong Cao

...

2024/2/6

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

IEEE Transactions on Artificial Intelligence

Muhammad Anwar Ma'sum

MD Sarkar

Mahardhika Pratama

Savitha Ramasamy

Sreenatha Anavatti

...

2024/1/25

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

arXiv preprint arXiv:2306.14369

Muhammad Anwar Ma'sum

Mahardhika Pratama

Lin Liu

Edwin Lughofer

Ryszard Kowalczyk

2023/6/26

Assessor-guided learning for continual environments

Information Sciences

Muhammad Anwar Ma'sum

Mahardhika Pratama

Edwin Lughofer

Weiping Ding

Wisnu Jatmiko

2023/9/1

Generative adversarial networks for unbalanced fetal heart rate signal classification

ICT Express

Riskyana Dewi Intan Puspitasari

M Anwar Ma’sum

Machmud R Alhamidi

Wisnu Jatmiko

2022/6/1

Predicting Student Achievement before Final Exam: A Regression-Based Approach

M Anwar Ma'sum

2022/1/22

Improving Convolutional Neural Network with Recurrent Model and Generative Adversarial Networks for Imbalance Classification of Wearable ECG Signal Quality Assessment

Journal of Computer Science and Informatics Engineering (J-Cosine)

M Anwar Ma'sum

Indra Hermawan

Wisnu Jatmiko

2022/12/21

Manual Terrain V2. 0: Sistem Telehealth Pertumbuhan Janin V2. 0 Document Version: 11 September 2019 USER GUIDE

Wisnu Jatmiko

Muhammad Anwar Ma'sum

Noor Akhmad Setiawan

Aria Kekalih

Alhadi Bustaman

...

2022/1/18

Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data Classification

IEEE Access

M Anwar Ma’sum

Noverina Alfiany

Wisnu Jatmiko

2022/10/10

Software Sistem pengukuran Kepala Janin Otomatis dengan Citra Ultrasound Dua Dimensi Menggunakan Adaboost dan Fast Ellipse Fitting

Wisnu Jatmiko

Made Wira Dhanar Santika

Muhammad Anwar Ma'sum

2022/1/18

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

2022/10/1

Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network

ICT Express

Naili Suri Inthizami

M Anwar Ma’sum

Machmud R Alhamidi

Ahmad Gamal

Ronni Ardhianto

...

2022/9/1

Development of adaptive fuzzy-neuro generalized learning-vector quantization using PI membership function (AFNGLVQ-PI)

IEEE Access

Wisnu Jatmiko

Andry Sunandar

M Sakti Alvissalim

M Iqbal Tawakal

M Febrian Rachmadi

...

2021/2/1

Outdoor LiDAR Point Cloud Building Segmentation: Progress and Challenge

Ahmad Gamal

Ario Yudo Husodo

Grafika Jati

Machmud R Alhamidi

M Anwar Ma'Sum

...

2021/10/23

Clustering versus incremental learning multi-codebook fuzzy neural network for multi-modal data classification

Computation

Muhammad Anwar Ma’sum

Hadaiq Rolis Sanabila

Petrus Mursanto

Wisnu Jatmiko

2020/1/13

Enhancing learning effectiveness by using online learning management system

Imam Gunawan

Lim Kim Hui

Muhammad Anwar Ma’sum

Nadya Nanda Sukawati

2020/10/17

Fast Ellipse Fitting Implementation on USG Mobile Telehealth Application

Made Wira Dhanar Santika

Muhammad Anwar Ma'sum

Aria Kekalih

Alhadi Bustamam

Adila Alfa Krisnadhi

...

2020/10/17

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

2020/10/17

Intelligent clustering and dynamic incremental learning to generate multi-codebook fuzzy neural network for multi-modal data classification

Symmetry

Muhammad Anwar Ma’sum

2020/4/24

See List of Professors in Muhammad Anwar Ma'sum University(Universitas Indonesia)