Muhammad Arifur Rahman

According to our database, Muhammad Arifur Rahman authored at least 13 papers between 2010 and 2024.

Collaborative distances:

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

2024

Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data.

Yuan Shen, Mufti Mahmud, Teena Rai, Jun He, David J. Brown, Muhammad Arifur Rahman, Jaspreet Kaur, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2023

Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning.

Muhammad Arifur Rahman, David J. Brown, Mufti Mahmud, Matthew C. Harris, Nicholas Shopland, Nadja Heym, Alexander Sumich, Zakia Batool Turabee, Bradley Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar, Simona Nastase, Andrew M. Burton, James Lewis

Brain Informatics, December, 2023

2022

Improving Accessibility and Personalisation for HE Students with Disabilities in Two Countries in the Indian Subcontinent - Initial Findings.

Nicholas Shopland, David J. Brown, Linda Daniela, Arta Rudolfa, Astra Rudolfa, Muhammad Arifur Rahman, Andrew M. Burton, Mufti Mahmud, Karel Van Isacker

Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022

Explainable Multimodal Machine Learning for Engagement Analysis by Continuous Performance Test.

Muhammad Arifur Rahman, David J. Brown, Nicholas Shopland, Andrew M. Burton, Mufti Mahmud

Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022

Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder.

Mufti Mahmud, M. Shamim Kaiser, Muhammad Arifur Rahman, Tanu Wadhera, David J. Brown, Nicholas Shopland, Andrew M. Burton, Thomas Hughes-Roberts, Shamim Al Mamun, Cosimo Ieracitano, Marzia Hoque Tania, Mohammad Ali Moni, Sheikh Mohammed Shariful Islam, Kanad Ray, Mohammad Shahadat Hossain

Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022

Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy Based on Arousal State Detection from Multimodal Data.

Muhammad Arifur Rahman, David J. Brown, Nicholas Shopland, Matthew C. Harris, Zakia Batool Turabee, Nadja Heym, Alexander Sumich, Brad Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar, Simona Nastase, Andrew M. Burton, James Lewis, Mufti Mahmud

Proceedings of the Brain Informatics - 15th International Conference, 2022

A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process.

Pranta Biswas, Fahmida Islam Ireen, Fairooz Ahsan Nawar, Maisha Tabassum, Muhammad Arifur Rahman, Mufti Mahmud, M. Shamim Kaiser, David J. Brown

AII, 2022

2021

Mental Healthcare Chatbot Using Sequence-to-Sequence Learning and BiLSTM.

Afsana Binte Rakib, Esika Arifin Rumky, Ananna J. Ashraf, Md. Monsur Hillas, Muhammad Arifur Rahman

Proceedings of the Brain Informatics - 14th International Conference, 2021

An XAI Based Autism Detection: The Context Behind the Detection.

Milon Biswas, M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun, Mohammad Shahadat Hossain, Muhammad Arifur Rahman

Proceedings of the Brain Informatics - 14th International Conference, 2021

Mixed Bangla-English Spoken Digit Classification Using Convolutional Neural Network.

Shuvro Das, Mst. Rubayat Yasmin, Musfikul Arefin, Kazi Abu Taher, Md Nasir Uddin, Muhammad Arifur Rahman

AII, 2021

2018

Gaussian process in computational biology: covariance functions for transcriptomics.

Muhammad Arifur Rahman

PhD thesis, 2018

2016

A Gaussian Process Model for Inferring the Dynamic Transcription Factor Activity.

Muhammad Arifur Rahman, Neil D. Lawrence

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2010

Performance Evaluation for Question Classification by Tree Kernels using Support Vector Machines.

Muhammad Arifur Rahman

J. Comput., 2010