Arash Golibagh Mahyari

Orcid: 0000-0001-8660-3096

According to our database1, Arash Golibagh Mahyari authored at least 25 papers between 2008 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Revolutionizing Payload Inspection: A Self-Supervised Journey to Precision with Few Shots.
CoRR, 2024

A Transformer-Based Framework for Payload Malware Detection and Classification.
Proceedings of the IEEE World AI IoT Congress, 2024

2023
Vehicle Controller Area Network Inspection Using Recurrent Neural Networks.
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023

2022
Real-Time Learning from an Expert in Deep Recommendation Systems with Application to mHealth for Physical Exercises.
IEEE J. Biomed. Health Informatics, 2022

A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Post-Disaster Damage Detection using Aerial Footage: Visual Question Answering (VQA) Case Study.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021
Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution.
CoRR, 2021

Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Digital Health, 2021

Policy Augmentation: An Exploration Strategy For Faster Convergence of Deep Reinforcement Learning Algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2018
Domain Adaptation in Robot Fault Diagnostic Systems.
CoRR, 2018

2017
A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEG.
IEEE Trans. Biomed. Eng., 2017

Hierarchical distributed compressive sensing for simultaneous sparse approximation and common component extraction.
Digit. Signal Process., 2017

Structured dictionary learning for sparse common component and innovation model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015
A Tucker decomposition based approach for topographic functional connectivity state summarization.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Identification of dynamic functional brain network states through tensor decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Multiple subject analysis of functional brain network communities through co-regularized spectral clustering.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Fourier transform for signals on dynamic graphs.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Multi-scale anomaly detection in complex dynamic networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Two-dimensional SVD for event detection in dynamic functional brain networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A multi-scale energy detector for anomaly detection in dynamic networks.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2011
Panchromatic and Multispectral Image Fusion Based on Maximization of Both Spectral and Spatial Similarities.
IEEE Trans. Geosci. Remote. Sens., 2011

2009
Steel Surface Defect Detection Using Texture Segmentation Based on Multifractal Dimension.
Proceedings of the 2009 International Conference on Digital Image Processing, 2009

A Novel Image Fusion Method Using Curvelet Transform Based on Linear Dependency Test.
Proceedings of the 2009 International Conference on Digital Image Processing, 2009

2008
Detection and Classification of Surface Defects of Cold Rolling Mill Steel Using Morphology and Neural Network.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008


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