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‎linkreview.md

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# Main articles
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| Title | Year | Source | Description |
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| :--------------------------------------------------------------------- | ---: | :--------------------------------------------------------------------------------------------------------------- | :---------- |
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| Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification | 2020 | [paper](https://ieeexplore.ieee.org/abstract/document/9075201/authors#authors)| - |
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| Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor | 2019 | [paper](https://ieeexplore.ieee.org/abstract/document/8744404)| - |
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| Similarity surrogate-assisted evolutionary neural architecture search with dual encoding strategy | 2024 | [paper](https://www.aimspress.com/aimspress-data/era/2024/2/PDF/era-32-02-050.pdf)| - |
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# For Introduction
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| Title | Year | Source | Description |
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| :---------------------------------------------------------------------------------- | ---: | :------------------------------------------------------------------------------------------------------------------------------------------- | :---------- |
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| Brain tumor detection using CNN, AlexNet & GoogLeNet ensembling learning approaches | 2023 | [paper](https://www.researchgate.net/publication/369308467_Brain_tumor_detection_using_CNN_AlexNet_GoogLeNet_ensembling_learning_approaches) | - |
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| A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions | 2021 | [paper](https://arxiv.org/pdf/2006.02903) | - |
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| NSgGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search | 2020 | [paper](https://arxiv.org/pdf/2007.10396) | - |
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| Evolutionary Architecture Search for Graph Neural Networks | 2020 | [paper](https://arxiv.org/pdf/2009.10199) | - |
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| MoSegNAS: Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation | 2022 | [paper](https://arxiv.org/pdf/2208.06820) | - |
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| Convolutional Neural Networks based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization | 2015 | [paper](https://shiruipan.github.io/publication/tevc-21-zhang/tevc-21-zhang.pdf) | - |
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| Combining global and local surrogate models to accelerate evolutionary optimization | 2006 | [paper](https://www.researchgate.net/publication/3421747_Combining_global_and_local_surrogate_models_to_accelerate_evolutionary_optimization_IEEE_Trans_Syst_Man_Cybern_Part_C_Appl_Rev) | - |
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| A Survey on Evolutionary Neural Architecture Search | 2022 | [paper](https://arxiv.org/pdf/2008.10937) | - |
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# other NAS
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| Title | Year | Source | Description |
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| :---- | ---: | :----- | :---------- |
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# NES
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| Title | Year | Source | Description |
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| :---- | ---: | :----- | :---------- |
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# ENAS
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| Title | Year | Source | Description |
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| :----------------------------------------------------------------------------------------------- | ---: | :----------------------------------------------------------------------------- | :---------- |
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| Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification | 2020 | [paper](https://ieeexplore.ieee.org/abstract/document/9075201/authors#authors) | - |
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| Efficient Neural Architecture Search via Parameter Sharing | 2018 | [paper](https://arxiv.org/pdf/1802.03268) | - |
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| Evolutionary Architecture Search for Graph Neural Networks | 2020 | [paper](https://arxiv.org/pdf/2009.10199) | - |
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# Surrogate assisted ENAS
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| Title | Year | Source | Description |
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| :------------------------------------------------------------------------------------------------------------------------------------------ | ---: | :--------------------------------------------------------------------------------- | :---------- |
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| Similarity surrogate-assisted evolutionary neural architecture search with dual encoding strategy | 2024 | [paper](https://www.aimspress.com/aimspress-data/era/2024/2/PDF/era-32-02-050.pdf) | - |
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| Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor | 2019 | [paper](https://ieeexplore.ieee.org/abstract/document/8744404) | - |
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| A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions | 2021 | [paper](https://arxiv.org/pdf/2006.02903) | - |
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| NSgGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search | 2020 | [paper](https://arxiv.org/pdf/2007.10396) | - |
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| MoSegNAS: Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation | 2022 | [paper](https://arxiv.org/pdf/2208.06820) | - |
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| Convolutional Neural Networks based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization | 2015 | [paper](https://shiruipan.github.io/publication/tevc-21-zhang/tevc-21-zhang.pdf) | - |
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| A Survey on Evolutionary Neural Architecture Search | 2022 | [paper](https://arxiv.org/pdf/2008.10937) | - |
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# Others
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| Title | Year | Source | Description |
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| :--------------------------------------------------------------------- | ---: | :--------------------------------------------------------------------------------------------------------------- | :---------- |
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| DARTS: Differentiable Architecture Search | 2020 | [paper](https://arxiv.org/abs/1806.09055)| - |
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| Title | Year | Source | Description |
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| :----------------------------------------------------------------------------------------- | ---: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------------------- |
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| DARTS: Differentiable Architecture Search | 2020 | [paper](https://arxiv.org/abs/1806.09055) | - |
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| Brain tumor detection using CNN, AlexNet & GoogLeNet ensembling learning approaches | 2023 | [paper](https://www.researchgate.net/publication/369308467_Brain_tumor_detection_using_CNN_AlexNet_GoogLeNet_ensembling_learning_approaches) | - |
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| Combining global and local surrogate models to accelerate evolutionary optimization | 2006 | [paper](https://www.researchgate.net/publication/3421747_Combining_global_and_local_surrogate_models_to_accelerate_evolutionary_optimization_IEEE_Trans_Syst_Man_Cybern_Part_C_Appl_Rev) | - |
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| A Density-Based Algorithm for Discovering Clusters<br>in Large Spatial Databaseswith Noise | 1996 | [paper](https://cdn.aaai.org/KDD/1996/KDD96-037.pdf) | DBSCAN original paper |
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| Adam: A Method for Stochastic Optimization | 2014 | [paper](https://arxiv.org/abs/1412.6980) | Adam original paper |

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