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ORCIDMuhammad Arifur Rahman
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2020 – today
- 2025
[c15]Ruth M. J. Amey, Muhammad Arifur Rahman
, David J. Brown, Matthew C. Harris, Nicholas Shopland, Mufti Mahmud, Samantha Hilton, Nadja Heym, Alexander Sumich:
A Machine Learning Pipeline for Biofeedback-Driven, Self-guided Virtual Reality Therapy Using Speech-Based Arousal Detection. HCI (77) 2025: 331-346- [c14]Mufti Mahmud, David J. Brown, Yuan Shen, Muhammad Arifur Rahman, Jun He, M. Shamim Kaiser, Hamzah Luqman, Sajib Mistry, Noushath Shaffi, Vimbi Viswan, M. Mostafizur Rahman, Shamim Al Mamun, Tamanna Sharmeen, Rasha Alahmad, V. N. Manjunath Aradhya, Mohammad Farukh Hashmi, Shuqiang Wang, Cosimo Ieracitano, Nadia Mammone, Maryam Doborjeh, Kanad Ray:
Preventive Healthcare Through Privacy-Preserving, Explainable and Inclusive Artificial Intelligence. HCI (77) 2025: 359-374 - [c13]Zakia Batool Turabee, David J. Brown, Mufti Mahmud, Andreas Oikonomou, Nicholas Shopland, Andrew M. Burton, Muhammad Arifur Rahman:
Optimising a Video Magnification Algorithm for Autism Spectrum Condition Monitoring. HCI (76) 2025: 368-379 - [c12]Yuan Shen, Mufti Mahmud, Teena Rai, David J. Brown, Jun He, Muhammad Arifur Rahman, David R. Baldwin, Jaspreet Kaur, Emma O'Dowd, Richard B. Hubbard:
State-of-the-Art Machine Learning Models for Detecting and Mitigating Disparities in Healthcare. HCI (77) 2025: 375-385 - [c11]Nicholas Shopland, Andrew M. Burton, David J. Brown, Mufti Mahmud, Muhammad Arifur Rahman, David R. Baldwin, Antti Airola, Tapio Pahikkala, Elina Kontio, Jussi Salmi, Carlos Alexandre Nunes Ferreira, Tânia Pereira, Hélder Filipe Oliveira, Almudena Maceda Garcia, Christos Chatzichristos:
Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders. HCI (77) 2025: 386-403 - 2024
- [c10]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:
Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data. ICONIP (5) 2024: 152-166 - 2023
- [j2]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:
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. Brain Informatics 10(1): 14 (2023) - 2022
- [c9]Pranta Biswas, Fahmida Islam Ireen, Fairooz Ahsan Nawar, Maisha Tabassum, Muhammad Arifur Rahman, Mufti Mahmud, M. Shamim Kaiser, David J. Brown:
A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process. AII 2022: 102-116 - [c8]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:
Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy Based on Arousal State Detection from Multimodal Data. BI 2022: 195-209 - [c7]Nicholas Shopland, David J. Brown, Linda Daniela, Arta Rudolfa, Astra Rudolfa, Muhammad Arifur Rahman, Andrew M. Burton, Mufti Mahmud, Karel Van Isacker:
Improving Accessibility and Personalisation for HE Students with Disabilities in Two Countries in the Indian Subcontinent - Initial Findings. HCI (8) 2022: 110-122 - [c6]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:
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder. HCI (8) 2022: 356-370 - [c5]Muhammad Arifur Rahman, David J. Brown, Nicholas Shopland, Andrew M. Burton, Mufti Mahmud:
Explainable Multimodal Machine Learning for Engagement Analysis by Continuous Performance Test. HCI (8) 2022: 386-399 - 2021
- [c4]Shuvro Das, Mst. Rubayat Yasmin, Musfikul Arefin, Kazi Abu Taher, Md Nasir Uddin, Muhammad Arifur Rahman:
Mixed Bangla-English Spoken Digit Classification Using Convolutional Neural Network. AII 2021: 371-383 - [c3]Afsana Binte Rakib, Esika Arifin Rumky, Ananna J. Ashraf, Md. Monsur Hillas, Muhammad Arifur Rahman:
Mental Healthcare Chatbot Using Sequence-to-Sequence Learning and BiLSTM. BI 2021: 378-387 - [c2]Milon Biswas, M. Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun, Mohammad Shahadat Hossain, Muhammad Arifur Rahman:
An XAI Based Autism Detection: The Context Behind the Detection. BI 2021: 448-459
2010 – 2019
- 2018
- [b1]Muhammad Arifur Rahman:
Gaussian process in computational biology: covariance functions for transcriptomics. University of Sheffield, UK, 2018 - 2016
- [c1]Muhammad Arifur Rahman, Neil D. Lawrence:
A Gaussian Process Model for Inferring the Dynamic Transcription Factor Activity. BCB 2016: 495-496 - 2010
- [j1]Muhammad Arifur Rahman:
Performance Evaluation for Question Classification by Tree Kernels using Support Vector Machines. J. Comput. 5(1): 32-39 (2010)
Coauthor Index
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