SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 10501–10525 of 14581 papers

TitleStatusHype
Feature Selection Methods for Cost-Constrained Classification in Random Forests—0
Feature Selection Parallel Technique for Remotely Sensed Imagery Classification—0
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets—0
Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification—0
Feature Selection Using Classifier in High Dimensional Data—0
Feature selection using Fisher's ratio technique for automatic speech recognition—0
Feature Selection with Redundancy-complementariness Dispersion—0
Feature Set Embedding for Incomplete Data—0
Features Extraction Based on an Origami Representation of 3D Landmarks—0
Features Fusion for Classification of Logos—0
Features modeling with an α-stable distribution: Application to pattern recognition based on continuous belief functions—0
Features or Shape? Tackling the False Dichotomy of Time Series Classification—0
Improving classification performance by feature space transformations and model selection—0
Feature Stacking for Sentence Classification in Evidence-Based Medicine—0
Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health—0
Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Faces—0
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification—0
Feature uncertainty bounding schemes for large robust nonlinear SVM classifiers—0
Feature vector regularization in machine learning—0
Federated Learning for Breast Density Classification: A Real-World Implementation—0
Federated Multi-task Hierarchical Attention Model for Sensor Analytics—0
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks—0
Fed-Focal Loss for imbalanced data classification in Federated Learning—0
FedNS: Improving Federated Learning for collaborative image classification on mobile clients—0
Feed Forward and Backward Run in Deep Convolution Neural Network—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