Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data Streams
Building Decision Trees for the Multi-class Imbalance Problem
Parallel Formulations of Decision-Tree Classification Algorithms
Learning with Drift Detection
Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
Evaluation methods and decision theory for classification of streaming data with temporal dependence
Communication efficient construction of decision trees over heterogeneously distributed data
Incremental Learning of Concept Drift in Nonstationary Environments
Efficient handling of concept drift and concept evolution over Stream Data
The Foundations of Cost-Sensitive Learning
Unbiased online active learning in data streams
Mining Recurring Concept Drifts with Limited Labeled Streaming Data
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints
Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost
The class imbalance problem: A systematic study
A Fast Decision Tree Learning Algorithm
Roughly Balanced Bagging for Imbalanced Data
Progressive Boosting for Class Imbalance
A review of boosting methods for imbalanced data classification
New ensemble methods for evolving data streams
Weighted extreme learning machine for imbalance learning
Dark side of development : Modernity, disaster risk and sustainable livelihoods in two coastal communities in Fiji
Lifted inference rules with constraints
The WEKA data mining software: an update
Advanced Material Rendering in Blender
mr - guided focused ultrasound ( mrgfus ) ablation for the treatment of nonspinal osteoid osteoma : a prospective multicenter evaluation .