SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6926–6950 of 14581 papers

TitleStatusHype
Efficient Representation Learning Using Random Walks for Dynamic GraphsCode0
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks—0
Deep Reinforcement Learning for Imbalanced ClassificationCode0
RNNSecureNet: Recurrent neural networks for Cyber security use-cases—0
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems—0
An Adaptive Weighted Deep Forest Classifier—0
Learning Sound Event Classifiers from Web Audio with Noisy LabelsCode0
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation—0
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study—0
A Hierarchical Grocery Store Image Dataset with Visual and Semantic LabelsCode0
Instance-Based Classification through Hypothesis Testing—0
GeoNet: Deep Geodesic Networks for Point Cloud Analysis—0
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections—0
Real-Time EEG Classification via Coresets for BCI Applications—0
Multi-class Classification without Multi-class LabelsCode0
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimizationCode0
Multi-Label Adversarial Perturbations—0
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class ClassificationCode0
An Automatic Interaction Detection Hybrid Model for Bankcard Response Classification—0
Elimination of All Bad Local Minima in Deep Learning—0
Action2Vec: A Crossmodal Embedding Approach to Action Learning—0
Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing—0
Adversarial Robustness May Be at Odds With Simplicity—0
A CNN adapted to time series for the classification of SupernovaeCode0
Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiersCode0
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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