Basim Azam

Orcid: 0000-0002-3367-6467

According to our database1, Basim Azam authored at least 21 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Suitability of KANs for Computer Vision: A preliminary investigation.
CoRR, 2024

Explainable Image Recognition With Graph-Based Feature Extraction.
IEEE Access, 2024

Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamic Image Deblurring based on Crosshatch Attention Adversarial Network and Hybrid Loss.
Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024

2023
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

A Graph-based Context Learning Technique for Image Parsing.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Novel Graph-based Framework for Explainable Image Classification: Features That Matter.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Aircraft detection in satellite imagery using deep learning-based object detectors.
Microprocess. Microsystems, October, 2022

Relationship aware context adaptive deep learning for image parsing.
Inf. Sci., 2022

Deep Learning Model with GA based Feature Selection and Context Integration.
CoRR, 2022

Deep collaborative network with alpha matte for precise knee tissue segmentation from MRI.
Comput. Methods Programs Biomed., 2022

Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Novel Explainable Deep Learning Model with Class Specific Features.
Proceedings of the Image and Vision Computing - 37th International Conference, 2022

A Novel Optimized Context-Based Deep Architecture for Scene Parsing.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Multipath CNN with alpha matte inference for knee tissue segmentation from MRI.
CoRR, 2021

Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing.
Proceedings of the International Joint Conference on Neural Networks, 2021

Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Deep Learning Model with GA-based Visual Feature Selection and Context Integration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Class Probability-based Visual and Contextual Feature Integration for Image Parsing.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020


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