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
Web Document Categorization Using Naive Bayes Classifier and Latent Semantic Analysis—0
Webly Supervised Learning for Skin Lesion Classification—0
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification—0
Web page classification with Google Image Search results—0
Web spam classification using supervised artificial neural network algorithms—0
Web Table Classification based on Visual Features—0
Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge—0
Weighted Contourlet Parametric (WCP) Feature Based Breast Tumor Classification from B-Mode Ultrasound Image—0
Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification—0
Weighted graphlets and deep neural networks for protein structure classification—0
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification—0
Weighted Linear Discriminant Analysis based on Class Saliency Information—0
Weighted second-order cone programming twin support vector machine for imbalanced data classification—0
Weighting Scheme for a Pairwise Multi-label Classifier Based on the Fuzzy Confusion Matrix—0
Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression—0
Welfare and Distributional Impacts of Fair Classification—0
WeNet: Weighted Networks for Recurrent Network Architecture Search—0
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm—0
We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter—0
What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?—0
What Does a TextCNN Learn?—0
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks—0
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling—0
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)—0
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images—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