سوابق تحصیلی
| مقطع تحصیلی | سال اخذ مدرک | رشته و گرایش تحصیلی | دانشگاه |
|---|---|---|---|
| دکترای تخصصی | هوش مصنوعی و رباتیکز | دانشگاه شیراز |
استادیار حجت اله موید
دانشکده: مهندسی برق، کامپیوتر و صنایع
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گروه: كامپيوتر
مقطع تحصیلی: دکترای تخصصی |
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حجت اله مویداستادیار دانشکده: مهندسی برق، کامپیوتر و صنایع گروه: كامپيوتر |
مقالات در همایش ها
- 1. H Moayed ,Non-Negative Matrix Factorization Improves Residual Neural Networks ,2024 14th International Conference on Computer and Knowledge Engineering (ICCKE) ,2024.
- 2. ,& ,Solving task scheduling problem in multi-processors with genetic algorithm and task duplication ,2014 Iranian Conference on Intelligent Systems (ICIS) ,2014.
مقالات در نشریات
- 1. Hojjat Moayed, Eghbal G Mansoori,Deep and wide nonnegative matrix factorization with embedded regularization,Pattern Recognition,2024.
- 2. Hojjat Moayed, Eghbal G Mansoori,Improving regularization in deep neural networks by co-adaptation trace detection,Neural Processing Letters,2023.
- 3. Hojjat Moayed, Eghbal G Mansoori, Mohammad R Moosavi,An efficient pruning method for subgraph matching in large-scale graphs,The Journal of Supercomputing,2023.
- 4. Hojjat Moayed, Eghbal G Mansoori,Skipout: an adaptive layer-level regularization framework for deep neural networks,IEEE Access,2022.
- 5. ,& ,Wavelet neural network with random wavelet function parameters,International Journal of Engineering, Transactions A: Basics,2017.
- 6. ,& ,A fuzzy based memetic algorithm for tuning fuzzy wavelet neural network parameters,Journal of Intelligent & Fuzzy Systems,2015.
- 7. ,& ,A differential evolution and spatial distribution based local search for training fuzzy wavelet neural network,International Journal of Engineering-Transactions B: Applications,2014.