Adnan Haider

Orcid: 0000-0003-2240-2708

According to our database1, Adnan Haider authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images.
Eng. Appl. Artif. Intell., 2024

Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models.
CoRR, 2024

Multi-scale and multi-receptive field-based feature fusion for robust segmentation of plant disease and fruit using agricultural images.
Appl. Soft Comput., 2024

2023
MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data.
J. King Saud Univ. Comput. Inf. Sci., May, 2023

Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion.
J. King Saud Univ. Comput. Inf. Sci., March, 2023

Exploring deep feature-blending capabilities to assist glaucoma screening.
Appl. Soft Comput., January, 2023

Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images.
Eng. Appl. Artif. Intell., 2023

2022
Deep Features Aggregation-Based Joint Segmentation of Cytoplasm and Nuclei in White Blood Cells.
IEEE J. Biomed. Health Informatics, 2022

Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images.
Expert Syst. Appl., 2022

Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy.
Expert Syst. Appl., 2022

A Treatise On FST Lattice Based MMI Training.
CoRR, 2022

2021
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data.
IEEE J. Biomed. Health Informatics, 2021

A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training.
Neural Networks, 2021

Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database.
Appl. Soft Comput., 2021

2019
Optimisation methods for training deep neural networks in speech recognition
PhD thesis, 2019

2018
A Common Framework for Natural Gradient and Taylor based Optimisation using Manifold Theory.
CoRR, 2018

Combining Natural Gradient with Hessian Free Methods for Sequence Training.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Horizon: a multi-abstraction framework for graph analytics.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017
Modeling and Simulation of Extreme-Scale Fat-Tree Networks for HPC Systems and Data Centers.
ACM Trans. Model. Comput. Simul., 2017

Sequence training of DNN acoustic models with natural gradient.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2015
FatTreeSim: Modeling Large-scale Fat-Tree Networks for HPC Systems and Data Centers Using Parallel and Discrete Event Simulation.
Proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation, London, United Kingdom, June 10, 2015

HAS: Heterogeneity-Aware Selective Data Layout Scheme for Parallel File Systems on Hybrid Servers.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

A Heterogeneity-Aware Region-Level Data Layout for Hybrid Parallel File Systems.
Proceedings of the 44th International Conference on Parallel Processing, 2015

IC-Data: Improving Compressed Data Processing in Hadoop.
Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015


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