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16 search results found
Android Malware Analysis
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72
This project seeks to apply machine learning algorithms to Android malware classification.
Shellnet
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58
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Mixco Mixup Contrast
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45
MixCo: Mix-up Contrastive Learning for Visual Representation, NeurIPS 2020 Workshop on SSL
Web Page Classification
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39
Classifies webpages into categories defined in DMOZ dataset
Classification
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35
Catalyst.Classification
Mongodb Datamining Shell
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31
MongoDB shell implementation of the data mining algorithms
Multitasksleepnet
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29
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Time Series Classification
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22
Short and long time series classification using convolutional neural networks
Emnlp2018 Activation Functions
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20
Cv Benchmarks
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19
CV-Benchmarks: Following the current benchmarks for the most common Computer Vision (CV) tasks.
Uniclass 2015
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16
Uniclass 2015 Classification tables in CSV format
Cryosparc Public
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8
Cryo-EM Single Particle Ab initio Reconstruction and Classification
Sentiment Classifier Service
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7
Self-contained service utilizing the NLTK for sentiment classification.
Stigadm
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6
A minimalist implementation of STIG validation and remediation
Lsda
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5
Large-scale Data Analysis supplementary material.
Medical_image_computing
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5
Medical image computing (MIC) is an interdisciplinary field, there are three essential medical image analysis techniques: medical image enhancement (MIE) and medical image segmentation (MIS).|医学图像计算 (MIC) 是计算机科学、信息工程、电气工程、物理学、数学和医学交叉的交叉学科领域。在 MIC 领域内,存在三种基本的医学图像分析技术:医学图像增强 (MIE) 和医学图像分割(MIS)。
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1-16 of 16 search results
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