SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8951–9000 of 14581 papers

TitleStatusHype
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification—0
CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data—0
CSIFT Based Locality-constrained Linear Coding for Image Classification—0
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification—0
Revisiting Classification Perspective on Scene Text Recognition—0
CTSys at SemEval-2018 Task 3: Irony in Tweets—0
CubeNet: Equivariance to 3D Rotation and Translation—0
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification—0
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network—0
Cultural Event Recognition with Visual ConvNets and Temporal Models—0
CUNet: A Compact Unsupervised Network for Image Classification—0
CURE Dataset: Ladder Networks for Audio Event Classification—0
CURL: Co-trained Unsupervised Representation Learning for Image Classification—0
Curriculum Learning for Multi-Task Classification of Visual Attributes—0
Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification—0
Cutting Recursive Autoencoder Trees—0
Cyber-aggression Detection using Cross Segment-and-Concatenate Multi-Task Learning from Text—0
Cyberbullying Intervention Based on Convolutional Neural Networks—0
Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss—0
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks—0
Cyber Threat Intelligence for Secure Smart City—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
Czech Text Document Corpus v 2.0—0
DAG-Recurrent Neural Networks For Scene Labeling—0
DAiSEE: Towards User Engagement Recognition in the Wild—0
DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation—0
Dance Hit Song Prediction—0
DART: Distribution Aware Retinal Transform for Event-based Cameras—0
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification—0
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT—0
Data-adaptive Active Sampling for Efficient Graph-Cognizant Classification—0
Data Analysis of Wireless Networks Using Classification Techniques—0
Data Augmentation and Clustering for Vehicle Make/Model Classification—0
Data augmentation and feature selection for automatic model recommendation in computational physics—0
Data augmentation approaches for improving animal audio classification—0
Data Augmentation Based on Distributed Expressions in Text Classification Tasks—0
Data Augmentation by Pairing Samples for Images Classification—0
Data Augmentation for Deep Learning-based Radio Modulation Classification—0
E-Stitchup: Data Augmentation for Pre-Trained Embeddings—0
Data Augmentation for Electrocardiogram Classification with Deep Neural Network—0
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network—0
Data Augmentation for Visual Question Answering—0
Data Augmentation Imbalance For Imbalanced Attribute Classification—0
Data Augmentation in Emotion Classification Using Generative Adversarial Networks—0
Data Augmentation of IMU Signals and Evaluation via a Semi-Supervised Classification of Driving Behavior—0
Data Augmentation Using Adversarial Training for Construction-Equipment Classification—0
Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery—0
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness—0
Data Centroid Based Multi-Level Fuzzy Min-Max Neural Network—0
Data classification using the Dempster-Shafer method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified