SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5776–5800 of 14581 papers

TitleStatusHype
An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU—0
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification—0
Applying Generative Adversarial Networks to Intelligent Subsurface Imaging and Identification—0
An attention-based multi-resolution model for prostate whole slide imageclassification and localization—0
An Inertial Newton Algorithm for Deep LearningCode0
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones—0
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification—0
An adaptive nearest neighbor rule for classificationCode0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over SimplexCode0
A survey of Object Classification and Detection based on 2D/3D data—0
Dynamic Traffic Scene Classification with Space-Time Coherence—0
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification—0
Graph Learning Network: A Structure Learning AlgorithmCode0
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data—0
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets—0
A New Multilabel System for Automatic Music Emotion Recognition—0
SECRET: Semantically Enhanced Classification of Real-world Tasks—0
What Makes Training Multi-Modal Classification Networks Hard?Code0
Solving graph compression via optimal transport—0
Personalizing human activity recognition models using incremental learning—0
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds—0
Vector-Valued Graph Trend Filtering with Non-Convex PenaltiesCode0
Probabilistic Decoupling of Labels in Classification—0
Texture CNN for Thermoelectric Metal Pipe Image Classification—0
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models—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