SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3276–3300 of 14581 papers

TitleStatusHype
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening—0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
CNN-based Landmark Detection in Cardiac CTA Scans—0
Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A Review—0
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification—0
Adversarial Attacks in Sound Event Classification—0
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification—0
Are Facial Attributes Adversarially Robust?—0
CNN Hyperparameter tuning applied to Iris Liveness Detection—0
Are Fictional Voices Distinguishable? Classifying Character Voices in Modern Drama—0
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions—0
CNNs for Surveillance Footage Scene Classification—0
CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data—0
CNN training with graph-based sample preselection: application to handwritten character recognition—0
CNN vs ELM for Image-Based Malware Classification—0
CNN with large memory layers—0
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?—0
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits—0
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification—0
Coarse-Grain Cluster Analysis of Tensors with Application to Climate Biome Identification—0
Coarse Semantic Classification of Rare Nouns Using Cross-Lingual Data and Recurrent Neural Networks—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
Are screening methods useful in feature selection? An empirical study—0
Coarse to Fine: Multi-label Image Classification with Global/Local Attention—0
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image 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