SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10701–10725 of 14581 papers

TitleStatusHype
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping—0
Fully DNN-based Multi-label regression for audio tagging—0
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays—0
Fully Hyperbolic Convolutional Neural Networks—0
Fully Scalable Gaussian Processes using Subspace Inducing Inputs—0
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information—0
Functional Correlations in the Pursuit of Performance Assessment of Classifiers—0
Functional Frank-Wolfe Boosting for General Loss Functions—0
Functional Mixture Discriminant Analysis with hidden process regression for curve classification—0
Function Space Pooling For Graph Convolutional Networks—0
FUNN: Flexible Unsupervised Neural Network—0
funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts—0
Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP—0
Fused Deep Neural Networks for Efficient Pedestrian Detection—0
Fusing Color and Texture Cues to Categorize the Fruit Diseases from Images—0
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification—0
Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification—0
Fusing location and text features for sentiment classification—0
Fusing Multi-Stream Deep Networks for Video Classification—0
Fusing Subcategory Probabilities for Texture Classification—0
FusionNet: 3D Object Classification Using Multiple Data Representations—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones—0
Future Automation Engineering using Structural Graph Convolutional Neural Networks—0
Futuristic Classification with Dynamic Reference Frame Strategy—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

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