SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 7326–7350 of 14581 papers

TitleStatusHype
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
Fermi at SemEval-2019 Task 4: The sarah-jane-smith Hyperpartisan News Detector—0
Ferrograph image classification—0
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification—0
Few-shot Classification on Graphs with Structural Regularized GCNs—0
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators—0
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms—0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph 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