SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 2251–2275 of 14581 papers

TitleStatusHype
Biologically Inspired Feedforward Supervised Learning for Deep Self-Organizing Map Networks—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
A novel active learning framework for classification: using weighted rank aggregation to achieve multiple query criteria—0
An "outside the box" solution for imbalanced data classification—0
Adversarial Transformations for Semi-Supervised Learning—0
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks—0
An Outlyingness Matrix for Multivariate Functional Data Classification—0
Adversarial Transfer of Pose Estimation Regression—0
A Bayesian Model of Diachronic Meaning Change—0
A Note on Topology Preservation in Classification, and the Construction of a Universal Neuron Grid—0
A Note on Posterior Probability Estimation for Classifiers—0
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification—0
A Context-aware Capsule Network for Multi-label Classification—0
Evaluation of Machine Learning Classifiers for Zero-Day Intrusion Detection -- An Analysis on CIC-AWS-2018 dataset—0
Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection—0
Bioacoustic Signal Classification Based on Continuous Region Processing, Grid Masking and Artificial Neural Network—0
An open-source tool for negation detection: a maximum-margin approach—0
Adversarial Training for Satire Detection: Controlling for Confounding Variables—0
A Consolidated Approach to Convolutional Neural Networks and the Kolmogorov Complexity—0
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack—0
Adversarial Training for Relation Extraction—0
Deep 3D Convolutional Neural Network for Automated Lung Cancer Diagnosis—0
An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds—0
An Ontology-Aware Framework for Audio Event Classification—0
Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque 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