> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/research/ncbi-paper-with-code.md).
# NCBI Papers with Code
List of awesome NCBI Papers with Code Supplement.
## CNN
1. Dual CNN for Relation Extraction with Knowledge-Based Attention and Word Embeddings\
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2. CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes\
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3. Design of deep convolutional networks for prediction of image rapid serial visual presentation events\
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4. A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data\
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5. A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition\
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6. GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text\
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7. Simple tricks of convolutional neural network architectures improve DNA-protein binding prediction\
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8. EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation\
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9. Multi-timescale drowsiness characterization based on a video of a driver's face\
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10. CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks\
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11. Deep learning with convolutional neural networks for EEG decoding and visualization\
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## Rice/Paddy Classification
1. Classifying Oryza sativa accessions into Indica and Japonica using logistic regression model with phenotypic data\
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2. SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome\
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3. Automatic estimation of heading date of paddy rice using deep learning\
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4. Distillation of crop models to learn plant physiology theories using machine learning\
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5. Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia\
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6. PlantCV v2: Image analysis software for high-throughput plant phenotyping\
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7. Crop Yield Prediction Using Deep Neural Networks\
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8. Using Deep Learning for Image-Based Plant Disease Detection\
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9. Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks\
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10. DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning\
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## Papers with Code
* [CVPR 2020 Papers with Code/Data](https://www.paperdigest.org/2020/06/cvpr-2020-papers-with-code-data/)
* [ECCV 2020: Some Highlights](https://yassouali.github.io/ml-blog/eccv2020/)