SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1876–1900 of 14581 papers

TitleStatusHype
Small Business Classification By Name: Addressing Gender and Geographic Origin Biases—0
An Experimental Study of the Transferability of Spectral Graph NetworksCode0
Classification of Single-View Object Point Clouds—0
Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes—0
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks—0
Stochastic Compositional Gradient Descent under Compositional Constraints—0
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning—0
Image-Based Jet Analysis—0
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN—0
Smoothed Gaussian Mixture Models for Video Classification and Recommendation—0
Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition—0
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks—0
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification—0
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease—0
StarcNet: Machine Learning for Star Cluster IdentificationCode0
Artificial Neural Networks for Sensor Data Classification on Small Embedded Systems—0
Robust Optimal Classification Trees under Noisy Labels—0
QUARC: Quaternion Multi-Modal Fusion Architecture For Hate Speech ClassificationCode0
Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data—0
Convolutional Neural Networks from Image Markers—0
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning—0
Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks—0
A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning—0
Classification of Smoking and Calling using Deep LearningCode0
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks—0
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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