Mahdi Khodayar

Orcid: 0000-0003-4683-7810

According to our database1, Mahdi Khodayar authored at least 12 papers between 2017 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

Online presence:

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Bibliography

2024
Low-Rank Sparse Generative Adversarial Unsupervised Domain Adaptation for Multitarget Traffic Scene Semantic Segmentation.
IEEE Trans. Ind. Informatics, February, 2024

2023
A triplet graph convolutional network with attention and similarity-driven dictionary learning for remote sensing image retrieval.
Expert Syst. Appl., December, 2023

Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

2021
Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Probabilistic Time-Varying Parameter Identification for Load Modeling: A Deep Generative Approach.
IEEE Trans. Ind. Informatics, 2021

Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process.
Sensors, 2021

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020
Energy Disaggregation via Deep Temporal Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

2019
Interval Deep Generative Neural Network for Wind Speed Forecasting.
IEEE Trans. Smart Grid, 2019

Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling.
IEEE Trans. Smart Grid, 2019

2018
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting.
CoRR, 2018

2017
Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting.
IEEE Trans. Ind. Informatics, 2017


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