SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4726–4750 of 14581 papers

TitleStatusHype
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networksCode0
Non-negative Sparse and Collaborative Representation for Pattern Classification—0
Discriminative Topic Mining via Category-Name Guided Text EmbeddingCode0
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian ApproximationCode0
Adversarial Defense by Suppressing High-frequency ComponentsCode0
Representing text as abstract images enables image classifiers to also simultaneously classify text—0
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud ClassificationCode0
Human uncertainty makes classification more robust—0
Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning—0
Graph-Based Object Classification for Neuromorphic Vision SensingCode0
NLNL: Negative Learning for Noisy LabelsCode0
SIRUS: Stable and Interpretable RUle Set for Classification—0
PrivFT: Private and Fast Text Classification with Homomorphic Encryption—0
The efficacy of various machine learning models for multi-class classification of RNA-seq expression data—0
Invariant embedding for graph classification—0
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings—0
TwistBytes -- Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision)—0
TDAM: a Topic-Dependent Attention Model for Sentiment Analysis—0
Modeling Time to Open of Emails with a Latent State for User Engagement Level—0
On the Robustness of Human Pose Estimation—0
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics—0
ED2: Two-stage Active Learning for Error Detection -- Technical Report—0
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer ClassificationCode1
A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification—0
Locally Linear Embedding and fMRI feature selection in psychiatric 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