Binary relevance for multi-label learning: an overview

Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification

(2016) Jun Huang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Label Distribution Learning

(2016) Xin Geng   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques

(2016) Lida Abdi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Multi-label learning with label-specific feature reduction

(2016) Suping Xu et al.   KNOWLEDGE-BASED SYSTEMS

A family of admissible heuristics for A* to perform inference in probabilistic classifier chains

(2016) Deiner Mena et al.   MACHINE LEARNING

Learning rules for multi-label classification: a stacking and a separate-and-conquer approach

(2016) Eneldo Loza Mencía et al.   MACHINE LEARNING

Multi-label classification using stacked spectral kernel discriminant analysis

(2016) Muhammad Atif Tahir et al.   NEUROCOMPUTING

Multi-label active learning by model guided distribution matching

(2016) Nengneng Gao et al.   Frontiers of Computer Science

A Tutorial on Multilabel Learning

(2015) Eva Gibaja et al.   ACM COMPUTING SURVEYS

PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification

(2015) Abdulaziz Alali et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Lift: Multi-Label Learning with Label-Specific Features

(2015) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Matrix Completion for Weakly-Supervised Multi-Label Image Classification

(2015) Ricardo Cabral et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

(2015) Francisco Charte et al.   KNOWLEDGE-BASED SYSTEMS

Addressing imbalance in multilabel classification: Measures and random resampling algorithms

(2015) Francisco Charte et al.   NEUROCOMPUTING

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Facial Age Estimation by Learning from Label Distributions

(2013) Xin Geng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Threshold optimisation for multi-label classifiers

(2013) Ignazio Pillai et al.   PATTERN RECOGNITION

Dependent binary relevance models for multi-label classification

(2013) Elena Montañes et al.   PATTERN RECOGNITION

Multi-label classification with Bayesian network-based chain classifiers

(2013) L. Enrique Sucar et al.   PATTERN RECOGNITION LETTERS

Multiclass Imbalance Problems: Analysis and Potential Solutions

(2012) Shuo Wang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

On label dependence and loss minimization in multi-label classification

(2012) Krzysztof Dembczyński et al.   MACHINE LEARNING

Inverse random under sampling for class imbalance problem and its application to multi-label classification

(2012) Muhammad Atif Tahir et al.   PATTERN RECOGNITION

Classifier chains for multi-label classification

(2011) Jesse Read et al.   MACHINE LEARNING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING