SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 7026–7050 of 14581 papers

TitleStatusHype
Exemplar-Centered Supervised Shallow Parametric Data Embedding—0
Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks—0
ExGate: Externally Controlled Gating for Feature-based Attention in Artificial Neural Networks—0
EXmatcher: Combining Features Based on Reference Strings and Segments to Enhance Citation Matching—0
EXMOVES: Classifier-based Features for Scalable Action Recognition—0
Expanding Label Sets for Graph Convolutional Networks—0
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings—0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
Expansional Retrofitting for Word Vector Enrichment—0
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?—0
Experimental Evaluation of Deep Learning models for Marathi Text Classification—0
Experimental Identification of Hard Data Sets for Classification and Feature Selection Methods with Insights on Method Selection—0
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating—0
Experimenting with Distant Supervision for Emotion Classification—0
Experiments with Clustering-based Features for Sentence Classification in Medical Publications: Macquarie Test's participation in the ALTA 2012 shared task.—0
Experiments with Domain Dependent Dialogue Act Classification using Open-Domain Dialogue Corpora—0
Expert Decision Support System for aeroacoustic source type identification using clustering—0
Expert System Based On Neural-Fuzzy Rules for Thyroid Diseases Diagnosis—0
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification—0
Explainability-aided Domain Generalization for Image Classification—0
Explainable and Accurate Natural Language Understanding for Voice Assistants and Beyond—0
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models—0
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging—0
Explainable Deep Classification Models for Domain Generalization—0
Explainable Disease Classification via weakly-supervised segmentation—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