SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3426–3450 of 14581 papers

TitleStatusHype
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition—0
Applications of shapelet transform to time series classification of earthquake, wind and wave data—0
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural NetworksCode0
Yoga-82: A New Dataset for Fine-grained Classification of Human PosesCode0
A Mathematical Programming approach to Binary Supervised Classification with Label Noise—0
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification—0
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media—0
A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm—0
On-the-Fly Joint Feature Selection and Classification—0
Considering Likelihood in NLP Classification Explanations with Occlusion and Language ModelingCode0
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition—0
A novel embedded min-max approach for feature selection in nonlinear support vector machine classificationCode0
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification—0
Natural Disaster Classification using Aerial Photography Explainable for Typhoon Damaged Feature—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network—0
Multi-label Stream Classification with Self-Organizing Maps—0
Improving correlation method with convolutional neural networks—0
Unsupervised Person Re-identification via Multi-label Classification—0
Class Distribution Alignment for Adversarial Domain Adaptation—0
Multi-level Binarized LSTM in EEG Classification for Wearable Devices—0
Classification using Hyperdimensional Computing: A Review—0
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification—0
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery—0
Data Augmentation Imbalance For Imbalanced Attribute 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