SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1701–1725 of 14581 papers

TitleStatusHype
Heterogeneous Hand Guise Classification Based on Surface Electromyographic Signals Using Multichannel Convolutional Neural Network—0
Intestinal Parasites Classification Using Deep Belief Networks—0
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix AugmentationCode0
Big Data application in congestion detection and classification using Apache spark—0
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification ProblemsCode0
Automating Program Structure ClassificationCode0
DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet—0
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography—0
Ensemble Learning Based Classification Algorithm Recommendation—0
Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts—0
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm—0
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS—0
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data—0
Materials Fingerprinting ClassificationCode0
A Multiple Classifier Approach for Concatenate-Designed Neural Networks—0
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI—0
Video action recognition for lane-change classification and prediction of surrounding vehicles—0
Anomaly Detection Support Using Process Classification—0
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification—0
Experimental Evaluation of Deep Learning models for Marathi Text Classification—0
A character representation enhanced on-device Intent Classification—0
Blind Modulation Classification via Combined Machine Learning and Signal Feature Extraction—0
Improving Classification Accuracy with Graph Filtering—0
Classification of Schizophrenia from Functional MRI Using Large-scale Extended Granger Causality—0
Data augmentation and feature selection for automatic model recommendation in computational physics—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