SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 1198 papers

TitleStatusHype
A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks—0
Co-occurring Diseases Heavily Influence the Performance of Weakly Supervised Learning Models for Classification of Chest CT—0
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization—0
Copy Recurrent Neural Network Structure Network—0
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE—0
Class-Incremental Learning for Multi-Label Audio Classification—0
Classifying Video based on Automatic Content Detection Overview—0
AI Guide Dog: Egocentric Path Prediction on Smartphone—0
A Relational-learning Perspective to Multi-label Chest X-ray Classification—0
Classifying movie genres by analyzing text reviews—0
A Correction Method of a Binary Classifier Applied to Multi-label Pairwise Models—0
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification—0
DyANE: Dynamics-aware node embedding for temporal networks—0
A Pseudo Label-wise Attention Network for Automatic ICD Coding—0
Classifier Chains: A Review and Perspectives—0
Classification of Things in DBpedia using Deep Neural Networks—0
Adaptive label thresholding methods for online multi-label classification—0
Dish detection in food platters: A framework for automated diet logging and nutrition management—0
Classification of Human Whole-Body Motion using Hidden Markov Models—0
Classification multi-label de cas cliniques avec CamemBERT (Multi-label classification of clinical cases with CamemBERT )—0
Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals—0
Classification multi-label \`a grande dimension pour la d\'etection de concepts m\'edicaux (Large multi-label classification for medical concepts detection)—0
Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language—0
Applying an Ensemble Learning Method for Improving Multi-label Classification Performance—0
A High Speed Multi-label Classifier based on Extreme Learning Machines—0
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All datasetsCheXpertMS-COCOPASCAL VOC 2007NUS-WIDEChestX-ray14OpenImages-v6PASCAL VOC 2012MLRSNetMRNetMIMIC-CXR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CFT (ensemble) Macao Polytechnic UniversityAVERAGE AUC ON 14 LABEL0.93—Unverified
2Hierarchical-Learning-V1 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
3DeepAUC-v1AVERAGE AUC ON 14 LABEL0.93—Unverified
4Conditional-Training-LSRAVERAGE AUC ON 14 LABEL0.93—Unverified
5Hierarchical-Learning-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
9DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified