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Fahim Irfan Alam
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2020 – today
- 2022
- [j4]Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan:
Deep integrated pipeline of segmentation guided classification of breast cancer from ultrasound images. Biomed. Signal Process. Control. 75: 103553 (2022) - 2021
- [c9]Muhammad Sakib Khan Inan, Rizwan Hasan, Fahim Irfan Alam:
A Hybrid Probabilistic Ensemble based Extreme Gradient Boosting Approach For Breast Cancer Diagnosis. CCWC 2021: 1029-1035 - [c8]Muhammad Sakib Khan Inan, Rubaiath E. Ulfath, Fahim Irfan Alam, Fateha Khanam Bappee, Rizwan Hasan:
Improved Sampling and Feature Selection to Support Extreme Gradient Boosting For PCOS Diagnosis. CCWC 2021: 1046-1050 - [i2]Muhammad Sakib Khan Inan, Fahim Irfan Alam, Rizwan Hasan:
Deep Integrated Pipeline of Segmentation Leading to Classification for Automated Detection of Breast Cancer from Breast Ultrasound Images. CoRR abs/2110.14013 (2021)
2010 – 2019
- 2019
- [j3]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(3): 1612-1628 (2019) - [c7]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew:
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification. DICTA 2019: 1-8 - 2018
- [c6]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao:
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - 2017
- [c5]Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao:
Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. DICTA 2017: 1-8 - [i1]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. CoRR abs/1711.04483 (2017) - 2016
- [c4]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia:
CRF learning with CNN features for hyperspectral image segmentation. IGARSS 2016: 6890-6893 - 2014
- [j2]Iker Gondra, Fahim Irfan Alam:
Learning spatial relations for object-specific segmentation using Bayesian network model. Signal Image Video Process. 8(8): 1441-1450 (2014) - 2013
- [j1]Fahim Irfan Alam, Muhammad Iqbal Hasan Chowdhury, Md. Reza Rabbani:
A Prediction Model to Support a MultilayerNetwork-based Universal Electronic CashTransaction Framework. Smart Comput. Rev. 3(4): 246-260 (2013) - 2012
- [c3]Fahim Irfan Alam, Iker Gondra:
Incorporating shape into spatially-aware adaptive object segmentation algorithm. C3S2E 2012: 86-94 - [c2]Iker Gondra, Fahim Irfan Alam:
Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features. ICCVG 2012: 397-406 - 2011
- [c1]Fahim Irfan Alam, Iker Gondra:
A Bayesian network-based tunable image segmentation algorithm for object recognition. ISSPIT 2011: 11-16
Coauthor Index
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