SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 5076–5100 of 14581 papers

TitleStatusHype
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks—0
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classificationCode0
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning—0
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification—0
Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)—0
Bayesian Inference for Large Scale Image Classification—0
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection—0
Neural Image Compression and ExplanationCode0
TEASER: Early and Accurate Time Series ClassificationCode0
Biologically-inspired Salience Affected Artificial Neural Network (SANN)Code0
Uncheatable Machine Learning Inference—0
Optimal multiclass overfitting by sequence reconstruction from Hamming queries—0
Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning—0
Regression Constraint for an Explainable Cervical Cancer Classifier—0
Robust Learning with Jacobian RegularizationCode0
Self-supervised Attention Model for Weakly Labeled Audio Event Classification—0
Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity’s Global Sequence Features and BiLSTM-Attention Neural Network—0
Debiasing Embeddings for Reduced Gender Bias in Text Classification—0
Advocacy Learning: Learning through Competition and Class-Conditional Representations—0
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text ClassificationCode0
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability—0
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network—0
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance PropagationCode0
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces—0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning—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