SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5301–5325 of 14581 papers

TitleStatusHype
Color Face Recognition using High-Dimension Quaternion-based Adaptive Representation—0
Color Image Classification via Quaternion Principal Component Analysis Network—0
Coloring black boxes: visualization of neural network decisions—0
Coloring the Black Box: Visualizing neural network behavior with a self-introspective model—0
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm—0
ColorUNet: A convolutional classification approach to colorization—0
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification—0
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning—0
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear—0
Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images—0
Combinational neural network using Gabor filters for the classification of handwritten digits—0
Combination of PCA with SMOTE Resampling to Boost the Prediction Rate in Lung Cancer Dataset—0
Combine Convolution with Recurrent Networks for Text Classification—0
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise—0
Combined convolutional and recurrent neural networks for hierarchical classification of images—0
Combined statistical and model based texture features for improved image classification—0
Combinets: Creativity via Recombination of Neural Networks—0
Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder—0
Combining Crowd and Machines for Multi-predicate Item Screening—0
Combining Deep Learning and Linear Processing for Modulation Classification and Symbol Decoding—0
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification—0
Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning—0
Combining dependency information and generalization in a pattern-based approach to the classification of lexical-semantic relation instances—0
Combining Different Features of Idiomaticity for the Automatic Classification of Noun+Verb Expressions in Basque—0
Combining Discourse Markers and Cross-lingual Embeddings for Synonym--Antonym 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