SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9776–9800 of 14581 papers

TitleStatusHype
Du bon usage d'ingr\'edients linguistiques sp\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
Durkheim Project Data Analysis Report—0
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages—0
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Dynamically Visual Disambiguation of Keyword-based Image Search—0
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification—0
Dynamic Classification in Web Archiving Collections—0
Dynamic classifier chains for multi-label learning—0
Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning—0
Dynamic Curriculum Learning for Imbalanced Data Classification—0
Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance?—0
Dynamic Feature Scaling for Online Learning of Binary Classifiers—0
Dynamic Functional Connectivity and Graph Convolution Network for Alzheimer's Disease Classification—0
Dynamic Graph Convolutional Networks—0
Dynamic Memory Induction Networks for Few-Shot Text Classification—0
Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions—0
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification—0
Dynamic Region-Aware Convolution—0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
Dynamics Based Features For Graph Classification—0
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis—0
Dynamic Spectrum Matching with One-shot Learning—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
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