SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7051–7075 of 14581 papers

TitleStatusHype
Explainable Image Classification with Evidence Counterfactual—0
Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles—0
Explainable Multi-class Classification of Medical Data—0
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models—0
Explainable Online Validation of Machine Learning Models for Practical Applications—0
Explainable Systematic Analysis for Synthetic Aperture Sonar Imagery—0
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding—0
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification—0
Explaining a prediction in some nonlinear models—0
Explaining Classification Models Built on High-Dimensional Sparse Data—0
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps—0
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures—0
Explaining Recurrent Neural Network Predictions in Sentiment Analysis—0
Explanation of Unintended Radiated Emission Classification via LIME—0
Explicating feature contribution using Random Forest proximity distances—0
Explicit and Implicit Syntactic Features for Text Classification—0
Explicit Fine grained Syntactic and Semantic Annotation of the Idafa Construction in Arabic—0
Explicitly Modeled Attention Maps for Image Classification—0
Exploitation d'une marge de tol\'erance de classification pour am\'eliorer l'apprentissage de mod\`eles acoustiques de classes en reconnaissance de la parole (Exploitation of a classification tolerance margin for improving the estimation of class-based acoustic models for speech recognition) [in French]—0
Exploitation of Semantic Keywords for Malicious Event Classification—0
Exploiting a comparability mapping to improve bi-lingual data categorization: a three-mode data analysis perspective—0
Exploiting Attention to Reveal Shortcomings in Memory Models—0
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification—0
Exploiting Context for Robustness to Label Noise in Active Learning—0
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification—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