SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 976–1000 of 14581 papers

TitleStatusHype
Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties—0
On Using Classification Datasets to Evaluate Graph-Level Outlier Detection: Peculiar Observations and New InsightsCode1
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCICode0
Deep Semantic Dictionary Learning for Multi-label Image ClassificationCode1
IIRC: Incremental Implicitly-Refined ClassificationCode1
K-Means Kernel ClassifierCode0
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare—0
Universal Approximation Properties for an ODENet and a ResNet: Mathematical Analysis and Numerical Experiments—0
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms—0
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CTCode0
A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem—0
Binary Classification Tests, Imperfect Standards, and Ambiguous Information—0
Cost-sensitive Semi-supervised Classification for Fraud Applications—0
Resting-state EEG sex classification using selected brain connectivity representation—0
Knowledge Transfer Based Fine-grained Visual ClassificationCode0
TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network—0
Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification—0
Explaining Black-box Models for Biomedical Text ClassificationCode0
Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones—0
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks—0
Fusing CNNs and statistical indicators to improve image classificationCode0
Sample Complexity of Adversarially Robust Linear Classification on Separated Data—0
Communication-Aware Collaborative Learning—0
(Decision and regression) tree ensemble based kernels for regression and classification—0
A pipeline for fair comparison of graph neural networks in node classification tasksCode1
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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