SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 8851–8900 of 14581 papers

TitleStatusHype
Cortical Surface Co-Registration based on MRI Images and Photos—0
COSINE: Compressive Network Embedding on Large-scale Information Networks—0
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences—0
COSTA: Co-Occurrence Statistics for Zero-Shot Classification—0
Cost-aware Feature Selection for IoT Device Classification—0
Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning—0
Cost-Based Budget Active Learning for Deep Learning—0
Cost-based Feature Transfer for Vehicle Occupant Classification—0
Costly Features Classification using Monte Carlo Tree Search—0
Cost-Sensitive Approach to Batch Size Adaptation for Gradient Descent—0
Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data—0
Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification—0
Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation—0
Cost-sensitive detection with variational autoencoders for environmental acoustic sensing—0
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data—0
Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening—0
Cost-sensitive Semi-supervised Classification for Fraud Applications—0
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks—0
Co-Training for Classification of Live or Studio Music Recordings—0
Co-training for Demographic Classification Using Deep Learning from Label Proportions—0
Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation—0
Co-Training for Topic Classification of Scholarly Data—0
Counterfactual-based minority oversampling for imbalanced classification—0
Causality-aware counterfactual confounding adjustment for feature representations learned by deep models—0
Counterfactual Fairness in Text Classification through Robustness—0
Countering hate on social media: Large scale classification of hate and counter speech—0
Coupled End-to-End Transfer Learning With Generalized Fisher Information—0
Coupling innovation method and feasibility analysis of garbage classification—0
Coupling weak and strong supervision for classification of prostate cancer histopathology images—0
Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings—0
Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism—0
Covariance-engaged Classification of Sets via Linear Programming—0
Covariance estimation using conjugate gradient for 3D classification in Cryo-EM—0
Covfefe: A Computer Vision Approach For Estimating Force Exertion—0
COVID-19 Classification of X-ray Images Using Deep Neural Networks—0
Covid-19 classification with deep neural network and belief functions—0
COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification—0
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19—0
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking—0
Crafting a multi-task CNN for viewpoint estimation—0
CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification—0
Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification—0
Credal Model Averaging for classification: representing prior ignorance and expert opinions—0
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification—0
Cribriform pattern detection in prostate histopathological images using deep learning models—0
Crick-net: A Convolutional Neural Network based Classification Approach for Detecting Waist High No Balls in Cricket—0
CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding—0
Criteria of efficiency for conformal prediction—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified