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ORCIDMd. Rakibul Hasan 0001
Person information
- affiliation: Curtin University, Perth, WA, Australia
- affiliation: BRAC University, Dhaka, Bangladesh
Other persons with the same name
- Md. Rakibul Hasan — disambiguation page
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2020 – today
- 2024
[c13]Md. Rakibul Hasan, Md. Zakir Hossain, Aneesh Krishna, Jessica Sharmin Rahman, Tom Gedeon:
Thesis Proposal: Detecting Empathy Using Multimodal Language Model. EACL (Student Research Workshop) 2024: 338-349- [c12]Md. Rakibul Hasan, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
LLM-GEm: Large Language Model-Guided Prediction of People's Empathy Levels towards Newspaper Article. EACL (Findings) 2024: 2215-2231 - [c11]Xiangyu Chen, Md Ayshik Rahman Khan
, Md. Rakibul Hasan, Tom Gedeon, Md. Zakir Hossain:
C3-PO: A Convolutional Neural Network for COVID Onset Prediction from Cough Sounds. MMM (3) 2024: 355-368 - [i4]Zeyu Zhang, Khandaker Asif Ahmed, Md. Rakibul Hasan, Tom Gedeon, Md. Zakir Hossain:
A Deep Learning Approach to Diabetes Diagnosis. CoRR abs/2403.07483 (2024) - [i3]Md Jobayer, Md. Mehedi Hasan Shawon, Md. Rakibul Hasan, Shreya Ghosh, Tom Gedeon, Md. Zakir Hossain:
FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time. CoRR abs/2405.09570 (2024) - 2023
- [j2]Xuehan Liu, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis. BMC Bioinform. 24(1): 7 (2023) - [c10]Cheng Jiang, Md. Rakibul Hasan, Tom Gedeon, Md. Zakir Hossain:
MaskTheFER: Mask-Aware Facial Expression Recognition using Convolutional Neural Network. DICTA 2023: 456-463 - [c9]Minhaz Mahmud, Md. Rakibul Hasan, Reabal Najjar, Md. Zakir Hossain:
Which Features Are Useful in Machine Learning-Based COVID-19 Prognostication? A Meta-Analysis. ICHI 2023: 145-149 - [c8]Yifan Zhou, Md. Rakibul Hasan, Md. Mahbub Hasan, Ali Zia, Md. Zakir Hossain:
How Do Native and Non-native Listeners Differ? Investigation with Dominant Frequency Bands in Auditory Evoked Potential. ICONIP (9) 2023: 350-361 - [c7]Zhongrui Chen, Md Jobayer, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
MutFusVAE: Mutational Fusion Variational Autoencoder for Predicting Primary Sites of Cancer. INNS DLIA@IJCNN 2023: 272-283 - [c6]Fahmida Yasmin Nipa, Fahin Uddin Enam, Md. Tahsin Ahmed Abir, Musa Ahammed Mahin, A. H. M. A. Rahim, Md. Mehedi Hasan Shawon, Md. Rakibul Hasan:
Prosthetic Exo-Leg: A Functional Robotic Leg Suit to Assist Patients with Transfemoral Amputation. TENCON 2023: 954-959 - [c5]Md. Rakibul Hasan, Md. Zakir Hossain, Tom Gedeon, Susannah Soon, Shafin Rahman:
Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers. WASSA@ACL 2023: 536-541 - [i2]Shreya Ghosh, Md. Rakibul Hasan, Pradyumna Agrawal, Zhixi Cai, Susannah Soon, Abhinav Dhall, Tom Gedeon:
Pavlok-Nudge: A Feedback Mechanism for Atomic Behaviour Modification with Snoring Usecase. CoRR abs/2305.06110 (2023) - [i1]Md. Rakibul Hasan, Md. Zakir Hossain, Shreya Ghosh, Susannah Soon, Tom Gedeon:
Empathy Detection Using Machine Learning on Text, Audiovisual, Audio or Physiological Signals. CoRR abs/2311.00721 (2023) - 2022
- [j1]Md. Rakibul Hasan, Md. Mahbub Hasan, Md. Zakir Hossain:
Effect of vocal tract dynamics on neural network-based speech recognition: A Bengali language-based study. Expert Syst. J. Knowl. Eng. 39(9) (2022) - [c4]Jin Si Lam, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease. ACIIDS (Companion) 2022: 251-262 - [c3]Fan Wu, Md. Rakibul Hasan, Md. Zakir Hossain:
An Evolutionary-based Neural Network for Distinguishing between Genuine and Posed Anger from Observers' Pupillary Responses. ICAART (2) 2022: 653-661 - [c2]Alex Qin, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
Machine Learning for Predicting Cancer Severity. ICHI 2022: 527-529 - [c1]Jingsheng Deng, Md. Rakibul Hasan, Minhaz Mahmud, Md. Mahbub Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
Diagnosing Autism Spectrum Disorder Using Ensemble 3D-CNN: A Preliminary Study. ICIP 2022: 3480-3484
Coauthor Index
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