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Adnan Haider
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2020 – today
- 2023
- [j11]Adnan Haider, Muhammad Arsalan, Chanhum Park, Haseeb Sultan, Kang Ryoung Park:
Exploring deep feature-blending capabilities to assist glaucoma screening. Appl. Soft Comput. 133: 109918 (2023) - [j10]Adnan Haider, Muhammad Arsalan, Se Hyun Nam, Jin Seong Hong, Haseeb Sultan, Kang Ryoung Park:
Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images. Eng. Appl. Artif. Intell. 125: 106749 (2023) - [j9]Adnan Haider, Muhammad Arsalan, Se Hyun Nam, Haseeb Sultan, Kang Ryoung Park:
Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion. J. King Saud Univ. Comput. Inf. Sci. 35(3): 211-226 (2023) - [j8]Haseeb Sultan, Muhammad Owais, Se Hyun Nam, Adnan Haider, Rehan Akram, Muhammad Usman, Kang Ryoung Park:
MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data. J. King Saud Univ. Comput. Inf. Sci. 35(5): 101560 (2023) - 2022
- [j7]Muhammad Arsalan, Adnan Haider, Young Won Lee, Kang Ryoung Park:
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy. Expert Syst. Appl. 200: 117009 (2022) - [j6]Adnan Haider, Muhammad Arsalan, Min Beom Lee, Muhammad Owais, Tahir Mahmood, Haseeb Sultan, Kang Ryoung Park:
Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images. Expert Syst. Appl. 207: 117968 (2022) - [j5]Adnan Haider, Muhammad Arsalan, Young Won Lee, Kang Ryoung Park:
Deep Features Aggregation-Based Joint Segmentation of Cytoplasm and Nuclei in White Blood Cells. IEEE J. Biomed. Health Informatics 26(8): 3685-3696 (2022) - [i5]Adnan Haider, Tim Ng, Zhen Huang, Xingyu Na, Antti-Veikko Rosti:
A Treatise On FST Lattice Based MMI Training. CoRR abs/2210.08918 (2022) - 2021
- [j4]Muhammad Owais, Hyo Sik Yoon, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park:
Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database. Appl. Soft Comput. 108: 107490 (2021) - [j3]Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland:
A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training. Neural Networks 143: 537-549 (2021) - [j2]Muhammad Owais, Young Won Lee, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park:
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data. IEEE J. Biomed. Health Informatics 25(6): 1881-1891 (2021) - [i4]Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland:
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training. CoRR abs/2103.07554 (2021)
2010 – 2019
- 2018
- [c7]Adnan Haider, Fabio Checconi, Xinyu Que, Lars Schneidenbach, Daniele Buono, Xian-He Sun:
Horizon: a multi-abstraction framework for graph analytics. CF 2018: 252-255 - [c6]Adnan Haider, Philip C. Woodland:
Combining Natural Gradient with Hessian Free Methods for Sequence Training. INTERSPEECH 2018: 2918-2922 - [i3]Adnan Haider:
A Common Framework for Natural Gradient and Taylor based Optimisation using Manifold Theory. CoRR abs/1803.09791 (2018) - [i2]Adnan Haider, Philip C. Woodland:
Sequence Training of DNN Acoustic Models With Natural Gradient. CoRR abs/1804.02204 (2018) - [i1]Adnan Haider, Philip C. Woodland:
Combining Natural Gradient with Hessian Free Methods for Sequence Training. CoRR abs/1810.01873 (2018) - 2017
- [j1]Ning Liu, Adnan Haider, Dong Jin, Xian-He Sun:
Modeling and Simulation of Extreme-Scale Fat-Tree Networks for HPC Systems and Data Centers. ACM Trans. Model. Comput. Simul. 27(2): 13 (2017) - [c5]Adnan Haider, Philip C. Woodland:
Sequence training of DNN acoustic models with natural gradient. ASRU 2017: 178-184 - 2015
- [c4]Adnan Haider, Xi Yang, Ning Liu, Xian-He Sun, Shuibing He:
IC-Data: Improving Compressed Data Processing in Hadoop. HiPC 2015: 356-365 - [c3]Shuibing He, Xian-He Sun, Yang Wang, Antonis Kougkas, Adnan Haider:
A Heterogeneity-Aware Region-Level Data Layout for Hybrid Parallel File Systems. ICPP 2015: 340-349 - [c2]Shuibing He, Xian-He Sun, Adnan Haider:
HAS: Heterogeneity-Aware Selective Data Layout Scheme for Parallel File Systems on Hybrid Servers. IPDPS 2015: 613-622 - [c1]Ning Liu, Adnan Haider, Xian-He Sun, Dong Jin:
FatTreeSim: Modeling Large-scale Fat-Tree Networks for HPC Systems and Data Centers Using Parallel and Discrete Event Simulation. SIGSIM-PADS 2015: 199-210
Coauthor Index
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last updated on 2023-11-14 01:59 CET by the dblp team
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