Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Active Learning Algorithms for Multi-label Data
Multi-label active learning: query type matters
Discovering General-Purpose Active Learning Strategies
Scikit-multilearn: a scikit-based Python environment for performing multi-label classification
The true sample complexity of active learning
Multi-label classification: An overview
Online Active Learning with Imbalanced Classes
User-Based Active Learning
Ensemble Methods for Multi-label Classification
Adaptive Large Margin Training for Multilabel Classification
Random k-Labelsets: An Ensemble Method for Multilabel Classification
Support Vector Machine Active Learning with Applications to Text Classification
Beam search algorithms for multilabel learning
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks
On label dependence and loss minimization in multi-label classification
Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study
Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning
Effective and Efficient Multilabel Classification in Domains with Large Number of Labels
Improving Generalization with Active Learning
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems
Two-Dimensional Active Learning for image classification
Squirrel cage induction motor cast rotor defect detection with magnetic field analysis
SESRA: a web-based automated tool to support the systematic literature review process
Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward
Flexible Heuristics Miner (FHM)
Query Learning with Large Margin Classifiers