Abdul Matin

According to our database, Abdul Matin authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss.

Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara

CoRR, August, 2025

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders.

Tanjim Bin Faruk, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara

CoRR, August, 2025

Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract).

Tanjim Bin Faruk, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Robust Multimodal Approach for Assembly Action Recognition.

Abdul Matin, Md Rafiqul Islam, Xianzhi Wang, Huan Huo

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2023

AIoT for sustainable manufacturing: Overview, challenges, and opportunities.

Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu

Internet Things, December, 2023

DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data.

Abdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the IEEE International Conference on Big Data, 2023

2022

The severity prediction of the binary and multi-class cardiovascular disease - A machine learning-based fusion approach.

Hafsa Binte Kibria, Abdul Matin

Comput. Biol. Chem., 2022

Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks.

Abdul Matin, Samuel Armstrong, Saptashwa Mitra, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence.

Paahuni Khandelwal, Samuel Armstrong, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Comparative analysis of two artificial intelligence based decision level fusion models for heart disease prediction.

Hafsa Binte Kibria, Abdul Matin, Sanzida Islam

Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021

Hand Gesture Recognition Based Human Computer Interaction to Control Multiple Applications.

Sanzida Islam, Abdul Matin, Hafsa Binte Kibria

ICO, 2021

A Comparative Study with Different Machine Learning Algorithms for Diabetes Disease Prediction.

Hafsa Binte Kibria, Abdul Matin, Nusrat Jahan, Sanzida Islam

Proceedings of the 18th International Conference on Electrical Engineering, 2021

2020

An Efficient Machine Learning-Based Decision-Level Fusion Model to Predict Cardiovascular Disease.

Hafsa Binte Kibria, Abdul Matin

ICO, 2020

2018

Automatic System for Detecting Invasive Ductal Carcinoma Using Convolutional Neural Networks.

Md. Jamil-Ur Rahman, Rafi Ibn Sultan, Firoz Mahmud, Sazid Al Ahsan, Abdul Matin

Proceedings of the TENCON 2018, 2018