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Ibrahim Hossain
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2020 – today
- 2025
- [j3]Afsana Ahmed Munia, Moloud Abdar, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi:
Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. Inf. Fusion 115: 102719 (2025) - 2024
- [c12]Mohammad Rokonuzzaman, Navid Mohajer, Ibrahim Hossain, Douglas C. Creighton:
Autonomous Vehicle Path Tracking with Unreliable Reference Path. ANZCC 2024: 103-108 - 2023
- [c11]Mehedi Hasan, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. SMC 2023: 973-980 - [c10]Afsana Ahmed Munia, Ibrahim Hossain, Seyed Mohammad Jalali, Pegah Tabarisaadi, Ashikur Rahman, Saeid Nahavandi:
Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours. SMC 2023: 4228-4235 - [i3]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - 2022
- [j2]Saeid Nahavandi, Shady M. K. Mohamed, Ibrahim Hossain, Darius Nahavandi, Syed Moshfeq Salaken, Mohammad Rokonuzzaman, Rachael Ayoub, Robin Smith:
Autonomous Convoying: A Survey on Current Research and Development. IEEE Access 10: 13663-13683 (2022) - [i2]Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. CoRR abs/2205.03109 (2022) - [i1]Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain:
A Comprehensive Review on Autonomous Navigation. CoRR abs/2212.12808 (2022) - 2020
- [c9]Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin:
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC 2020: 2907-2912
2010 – 2019
- 2019
- [c8]Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - 2018
- [j1]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface. Comput. Intell. Neurosci. 2018: 6323414:1-6323414:12 (2018) - [c7]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) 2018: 172-181 - [c6]Ibrahim Hossain, Imali Hettiarachchi:
Calibration Time Reduction for Motor Imagery-Based BCI Using Batch Mode Active Learning. IJCNN 2018: 1-8 - [c5]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface. IJCNN 2018: 1-6 - [c4]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Calibration Time Reduction Using Subjective Features Selection Based Transfer Learning For Multiclass BCI. SMC 2018: 491-498 - 2017
- [c3]Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi:
Weighted informative inverse active class selection for motor imagery brain computer interface. CCECE 2017: 1-5 - [c2]Ibrahim Hossain, Abbas Khosravi, Imali Thanuja Hettiarachchi, Saeid Nahavandi:
Informative instance transfer learning with subject specific frequency responses for motor imagery brain computer interface. SMC 2017: 252-257 - 2016
- [c1]Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi:
Active transfer learning and selective instance transfer with active learning for motor imagery based BCI. IJCNN 2016: 4048-4055
Coauthor Index
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