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Multi‐label learning: a review of the state of the art and ongoing research
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A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
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A Tree Projection Algorithm for Generation of Frequent Item Sets
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Evaluation of Two Systems on Multi-class Multi-label Document Classification
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Text Classification for DAG-Structured Categories
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Measuring Statistical Dependence with Hilbert-Schmidt Norms
inferredcites →https://doi.org/10.1007/11816508_58openalex-snapshot
Selection Strategies for Multi-label Text Categorization
inferredcites →https://doi.org/10.1007/11871637_7openalex-snapshot
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics
inferredcites →https://doi.org/10.1007/11880561_1openalex-snapshot
MP-Boost: A Multiple-Pivot Boosting Algorithm and Its Application to Text Categorization
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TreeBoost.MH: A Boosting Algorithm for Multi-label Hierarchical Text Categorization
inferredcites →https://doi.org/10.1007/3-540-31314-1_24openalex-snapshot
On Active Learning in Multi-label Classification
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Discretizing Continuous Attributes in AdaBoost for Text Categorization
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Knowledge Discovery in Multi-label Phenotype Data
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Learning Multi-label Alternating Decision Trees from Texts and Data
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Data Mining and Knowledge Discovery Handbook
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Principal Component Analysis
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Energy Minimization Methods
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A Preliminary Approach to the Multilabel Classification Problem of Portuguese Juridical Documents
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Logistic Regression and Boosting for Labeled Bags of Instances
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Discriminative Methods for Multi-labeled Classification
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Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization
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The impact of NLP techniques in the multilabel text classification problem
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Automatic Multi-label Subject Indexing in a Multilingual Environment
inferredcites →https://doi.org/10.1007/978-3-540-74958-5_61openalex-snapshot
Ensembles of Multi-Objective Decision Trees
inferredcites →https://doi.org/10.1007/978-3-540-74976-9_64openalex-snapshot
Multi-label Lazy Associative Classification
inferredcites →https://doi.org/10.1007/978-3-540-85557-6_1openalex-snapshot
Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems
inferredcites →https://doi.org/10.1007/978-3-540-87481-2_26openalex-snapshot
Classification of Multi-labeled Data: A Generative Approach
inferredcites →https://doi.org/10.1007/978-3-540-87481-2_4openalex-snapshot
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain
inferredcites →https://doi.org/10.1007/978-3-540-87881-0_40openalex-snapshot
An Empirical Study of Lazy Multilabel Classification Algorithms
inferredcites →https://doi.org/10.1007/978-3-642-00958-7_12openalex-snapshot
Active Learning Strategies for Multi-Label Text Classification
inferredcites →https://doi.org/10.1007/978-3-642-01536-6_8openalex-snapshot
A Tutorial on Multi-label Classification Techniques
inferredcites →https://doi.org/10.1007/978-3-642-03915-7_15openalex-snapshot
ART-Based Neural Networks for Multi-label Classification
inferredcites →https://doi.org/10.1007/978-3-642-04180-8_6openalex-snapshot
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification
inferredcites →https://doi.org/10.1007/978-3-642-05224-8_24openalex-snapshot
Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble
inferredcites →https://doi.org/10.1007/978-3-642-10268-4_78openalex-snapshot
An Enhanced Probabilistic Neural Network Approach Applied to Text Classification
inferredcites →https://doi.org/10.1007/978-3-642-12837-0_11openalex-snapshot
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
inferredcites →https://doi.org/10.1007/978-3-642-13803-4_2openalex-snapshot
Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study
inferredcites →https://doi.org/10.1007/978-3-642-14049-5_13openalex-snapshot
Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels
inferredcites →https://doi.org/10.1007/978-3-642-14640-4_4openalex-snapshot
Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains
inferredcites →https://doi.org/10.1007/978-3-642-14932-0_31openalex-snapshot
Image to Text Translation by Multi-Label Classification
inferredcites →https://doi.org/10.1007/978-3-642-15567-3_10openalex-snapshot
Multi-label Linear Discriminant Analysis
inferredcites →https://doi.org/10.1007/978-3-642-15880-3_24openalex-snapshot
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss
inferredcites →https://doi.org/10.1007/978-3-642-16493-4_45openalex-snapshot
Multilabel Classification Using Error Correction Codes
inferredcites →https://doi.org/10.1007/978-3-642-16530-6_34openalex-snapshot
Designing a Multi-label Kernel Machine with Two-Objective Optimization
inferredcites →https://doi.org/10.1007/978-3-642-20042-7_34openalex-snapshot
Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes
inferredcites →https://doi.org/10.1007/978-3-642-21257-4_29openalex-snapshot
Dual Layer Voting Method for Efficient Multi-label Classification
inferredcites →https://doi.org/10.1007/978-3-642-21501-8_2openalex-snapshot
Feature Selection for Multi-label Classification Problems
inferredcites →https://doi.org/10.1007/978-3-642-23808-6_15openalex-snapshot
Multi-label Ensemble Learning
inferredcites →https://doi.org/10.1007/978-3-642-28320-8openalex-snapshot
New Frontiers in Applied Data Mining
inferredcites →https://doi.org/10.1007/978-3-642-28931-6_18openalex-snapshot
Improving Multi-label Classifiers via Label Reduction with Association Rules
inferredcites →https://doi.org/10.1007/978-3-642-33275-3openalex-snapshot
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction
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A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification
inferredcites →https://doi.org/10.1007/978-3-642-40395-8_22openalex-snapshot
Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm
inferredcites →https://doi.org/10.1007/978-3-642-40846-5_16openalex-snapshot
A First Approach to Deal with Imbalance in Multi-label Datasets
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Preferential text classification: learning algorithms and evaluation measures
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Multilabel classification via calibrated label ranking
inferredcites →https://doi.org/10.1007/s10994-008-5077-3openalex-snapshot
Decision trees for hierarchical multi-label classification
inferredcites →https://doi.org/10.1007/s10994-009-5127-5openalex-snapshot
Combining instance-based learning and logistic regression for multilabel classification
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Classifier chains for multi-label classification
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Guest editorial: model selection and optimization in machine learning
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Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
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Statistical topic models for multi-label document classification
inferredcites →https://doi.org/10.1007/s10994-011-5276-1openalex-snapshot
Compressed labeling on distilled labelsets for multi-label learning
inferredcites →https://doi.org/10.1007/s10994-012-5279-6openalex-snapshot
Scalable and efficient multi-label classification for evolving data streams
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On label dependence and loss minimization in multi-label classification
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Introduction to the special issue on learning from multi-label data
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Ml-rbf: RBF Neural Networks for Multi-Label Learning
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TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
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Symptom selection for multi-label data of inquiry diagnosis in traditional Chinese medicine
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A hierarchical multi-label classification ant colony algorithm for protein function prediction
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Krylov-subspace methods for the Sylvester equation
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Probabilistic neural networks
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Label ranking by learning pairwise preferences
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Multi-instance multi-label learning
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Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
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A greedy classification algorithm based on association rule
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Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining
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Automatic detection of learning styles for an e-learning system
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An unbiased method for constructing multilabel classification trees
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A tree-projection-based algorithm for multi-label recurrent-item associative-classification rule generation
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Grouping of TRIZ Inventive Principles to facilitate automatic patent classification
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Combine multi-valued attribute decomposition with multi-label learning
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Incorporating label dependency into the binary relevance framework for multi-label classification
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FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors
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An efficient multi-label support vector machine with a zero label
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A model for multi-label classification and ranking of learning objects
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Ensemble methods for multi-label classification
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Multi-dimensional classification with Bayesian networks
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Feature selection for multi-label naive Bayes classification
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Multi-instance multi-label learning based on Gaussian process with application to visual mobile robot navigation
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iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
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Graph-based semi-supervised learning with multiple labels
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MIMLRBF: RBF neural networks for multi-instance multi-label learning
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Efficient voting prediction for pairwise multilabel classification
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Optimization method based extreme learning machine for classification
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Learning multi-label scene classification
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ML-KNN: A lazy learning approach to multi-label learning
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Multi-output regression on the output manifold
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A transductive multi-label learning approach for video concept detection
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Multi-label classification and extracting predicted class hierarchies
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An extensive experimental comparison of methods for multi-label learning
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Pattern classification of dermoscopy images: A perceptually uniform model
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On applying linear discriminant analysis for multi-labeled problems
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Multilabel classification using heterogeneous ensemble of multi-label classifiers
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Multi-label classification with Bayesian network-based chain classifiers
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Testing the equality of distributions of random vectors with categorical components
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Improved Boosting Algorithms Using Confidence-rated Predictions
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BoosTexter: A Boosting-based System for Text Categorization
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Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
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Support Vector Data Description
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Gene Ontology: tool for the unification of biology
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Principal Component Analysis
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Ties in Paired-Comparison Experiments: A Generalization of the Bradley-Terry Model
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INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY
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The study of drug–reaction relationships using global optimization techniques
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Predicting gene function in Saccharomyces cerevisiae
inferredcites →https://doi.org/10.1093/bioinformatics/btk048openalex-snapshot
Hierarchical multi-label prediction of gene function
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
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A framework for predicting proteins 3D structures
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Iterative Annotation of Multi-relational Social Networks
inferredcites →https://doi.org/10.1109/asonam.2010.56openalex-snapshot
Profiling Phishing Emails Based on Hyperlink Information
inferredcites →https://doi.org/10.1109/cbmi.2009.37openalex-snapshot
An Empirical Study of Multi-label Learning Methods for Video Annotation
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A Fast Multi-label Classification Algorithm Based on Double Label Support Vector Machine
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Voting conditional random fields for multi-label image classification
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Vision Based Metal Spectral Analysis Using Multi-label Classification
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Two-Dimensional Active Learning for image classification
inferredcites →https://doi.org/10.1109/cvpr.2011.5995734openalex-snapshot
Multi-label learning with incomplete class assignments
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Empirical Study of Multi-label Classification Methods for Image Annotation and Retrieval
inferredcites →https://doi.org/10.1109/fuzzy.2010.5584079openalex-snapshot
Fuzzy multi-label learning under veristic variables
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Knowledge discovery with Artificial Immune Systems for hierarchical multi-label classification of protein functions
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A k-nearest neighbor based algorithm for multi-label classification
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Constructing a Fast Algorithm for Multi-label Classification with Support Vector Data Description
inferredcites →https://doi.org/10.1109/his.2006.264925openalex-snapshot
Paired Comparisons Method for Solving Multi-Label Learning Problem
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Paired Comparisons Method for Solving Multi-Label Learning Problem
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Attribute and simile classifiers for face verification
inferredcites →https://doi.org/10.1109/icdm.2003.1250902openalex-snapshot
Is random model better? On its accuracy and efficiency
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MMAC: A New Multi-Class, Multi-Label Associative Classification Approach
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M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning
inferredcites →https://doi.org/10.1109/icdm.2008.74openalex-snapshot
Multi-label Classification Using Ensembles of Pruned Sets
inferredcites →https://doi.org/10.1109/icdm.2008.86openalex-snapshot
A Generative Probabilistic Model for Multi-label Classification
inferredcites →https://doi.org/10.1109/icdmw.2009.94openalex-snapshot
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data
inferredcites →https://doi.org/10.1109/icdmw.2010.139openalex-snapshot
A Triple-Random Ensemble Classification Method for Mining Multi-label Data
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Meta-learning for Selecting a Multi-label Classification Algorithm
inferredcites →https://doi.org/10.1109/icip.2004.1421535openalex-snapshot
Multi-label SVM active learning for image classification
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Multi-view multi-label active learning for image classification
inferredcites →https://doi.org/10.1109/ictai.2010.102openalex-snapshot
A k-Nearest Neighbor Based Multi-Instance Multi-Label Learning Algorithm
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Obtaining Bipartitions from Score Vectors for Multi-Label Classification
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A Genetic Algorithm for Optimizing the Label Ordering in Multi-label Classifier Chains
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A multi-label classification algorithm based on triple class support vector machine
inferredcites →https://doi.org/10.1109/ijcnn.2008.4633988openalex-snapshot
Calibrated Rank-SVM for multi-label image categorization
inferredcites →https://doi.org/10.1109/ism.2009.87openalex-snapshot
Multimedia Content Tagging Using Multilabel Decision Tree
inferredcites →https://doi.org/10.1109/tasl.2007.913750openalex-snapshot
Semantic Annotation and Retrieval of Music and Sound Effects
inferredcites →https://doi.org/10.1109/tasl.2008.2008734openalex-snapshot
Improving Multilabel Analysis of Music Titles: A Large-Scale Validation of the Correction Approach
inferredcites →https://doi.org/10.1109/tevc.2002.802452openalex-snapshot
Data mining with an ant colony optimization algorithm
inferredcites →https://doi.org/10.1109/tkde.2006.162openalex-snapshot
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
inferredcites →https://doi.org/10.1109/tkde.2010.164openalex-snapshot
Random k-Labelsets for Multilabel Classification
inferredcites →https://doi.org/10.1109/tkde.2013.39openalex-snapshot
A Review on Multi-Label Learning Algorithms
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Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval
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Two-Dimensional Multilabel Active Learning with an Efficient Online Adaptation Model for Image Classification
inferredcites →https://doi.org/10.1109/tpami.2009.107openalex-snapshot
Classification of Complex Information: Inference of Co-Occurring Affective States from Their Expressions in Speech
inferredcites →https://doi.org/10.1109/tpami.2010.160openalex-snapshot
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis
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A fuzzy K-nearest neighbor algorithm
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Classification of Aeronautics System Health and Safety Documents
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Boosting simple decision trees with Bayesian learning for text categorization
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THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Semi-supervised Multi-label Learning by Solving a Sylvester Equation
inferredcites →https://doi.org/10.1137/1.9781611972801.68openalex-snapshot
Multi-label Classification without the Multi-label Cost
inferredcites →https://doi.org/10.1137/1.9781611972825.31openalex-snapshot
Multi-Objective Multi-Label Classification
inferredcites →https://doi.org/10.1145/1076034.1076080openalex-snapshot
Multi-label informed latent semantic indexing
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Multi-labelled classification using maximum entropy method
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Collective multi-label classification
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Model-shared subspace boosting for multi-label classification
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Correlative multi-label video annotation
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Automatic image annotation via local multi-label classification
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Classification with partial labels
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Large scale multi-label classification via metalabeler
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New ensemble methods for evolving data streams
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Relational learning via latent social dimensions
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Effective multi-label active learning for text classification
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Scalable learning of collective behavior based on sparse social dimensions
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A shared-subspace learning framework for multi-label classification
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Medical coding classification by leveraging inter-code relationships
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Multi-label learning by exploiting label dependency
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Multilabel dimensionality reduction via dependence maximization
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Multi-label learning with millions of labels
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Improved boosting algorithms using confidence-rated predictions
inferredcites →https://doi.org/10.1145/279943.279962openalex-snapshot
Combining labeled and unlabeled data with co-training
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Saliency-Based Multilabel Linear Discriminant Analysis
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Half Quadratic Dual Learning for Fuzzy Multiconcepts of Partially-Observed Images
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Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information
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Extracting Fresnel Zones From Migrated Dip-Angle Gathers Using Multitask Learning for 3-D High SNR Imaging
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Capturing Joint Label Distribution for Multi-Label Classification Through Adversarial Learning
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A Review on Dimensionality Reduction for Multi-label Classification
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Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
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A multi‐label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture
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A Correction Method of a Binary Classifier Applied to Multi-Label Pairwise Models
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Which Exceptions Do We Have to Catch in the Python Code for AI Projects?
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Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data
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A Novel Online Stacked Ensemble for Multi-Label Stream Classification
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Hierarchical Matching Network for Crime Classification
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Hierarchical Multi-label Text Classification
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CNewsTS - A Large-scale Chinese News Dataset with Hierarchical Topic Category and Summary
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Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation
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An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes
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Label operation for multi-label learning
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Comparing machine learning algorithms for multimorbidity prediction: An example from the Elsa-Brasil study
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Limited-Supervised Multi-Label Learning with Dependency Noise
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Developments in probabilistic graphical models, circular distributions and theory of random forests with applications in neuroscience
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Granulation multi-label decision tables and three-level granulation attribute reductions of multi-label decision tables
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ML-CK-ELM: An efficient Multi-layer Extreme Learning Machine using Combined Kernels for Multi-label classification
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Latent Semantics Encoding for Label Distribution Learning
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Monitoring Acoustic Data Streams Using Possibilistic Aggregation and Multi-label Learning
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A locally weighted learning method based on a data gravitation model for multi-target regression
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The utiml Package: Multi-label Classification in R
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STS-NLSP: A Network-Based Label Space Partition Method for Predicting the Specificity of Membrane Transporter Substrates Using a Hybrid Feature of Structural and Semantic Similarity
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Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
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ATC-NLSP: Prediction of the Classes of Anatomical Therapeutic Chemicals Using a Network-Based Label Space Partition Method
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What Is the Role of AI for Digital Twins?
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Distributed Online Multi-Label Learning with Privacy Protection in Internet of Things
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Application of Label Correlation in Multi-Label Classification: A Survey
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Vibration Fault Diagnosis in Wind Turbines Based on Automated Feature Learning
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Multi-Label Classification with Optimal Thresholding for Multi-Composition Spectroscopic Analysis
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Identification of Comorbidities in Obstructive Sleep Apnea Using Diverse Data and a One-Dimensional Convolutional Neural Network
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Ensemble of Networks for Multilabel Classification
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Approche hiérarchique d’extraction des compétences dans des CVs en format PDF
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Fully Scalable Gaussian Processes using Subspace Inducing Inputs
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Visual Affordance and Function Understanding: A Survey
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Bayes metaclassifier and Soft-confusion-matrix classifier in the task of multi-label classification
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Linguistic Typology Features from Text: Inferring the Sparse Features of World Atlas of Language Structures
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Gated recurrent units and temporal convolutional network for multilabel classification
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Computer Science & Information Technology
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Multi-label Classifier Performance Evaluation with Confusion Matrix
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A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses
inferred← citeshttps://doi.org/10.5753/sbc.7.3openalex-snapshot
Introdução à Classificação Multirrótulo
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Ensemble multi-label learning in supervised and semi-supervised settings
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Distributionally robust, skeptical inferences in supervised classification using imprecise probabilities
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