SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3351–3375 of 14581 papers

TitleStatusHype
Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities—0
Color: A Crucial Factor for Aesthetic Quality Assessment in a Subjective Dataset of Paintings—0
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey—0
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
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification—0
A Neural Network Anomaly Detector Using the Random Cluster Model—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
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting—0
A Health Monitoring System for Elder and Sick Persons—0
A robust hierarchical nominal classification method based on similarity and dissimilarity using loss function and an improved version of the deck of cards method—0
A comparison and analysis of models for event trigger detection—0
Compressive spectral image classification using 3D coded convolutional neural network—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
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data—0
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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