Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Methods for Designing Multiple Classifier Systems
An approach to the automatic design of multiple classifier systems
Survey on Multiclass Classification Methods
On combining classifiers
A review on the combination of binary classifiers in multiclass problems
Review of Classifier Combination Methods
Ensemble Methods for Multi-label Classification
A theory of multiclass boosting
Combining classifiers: A theoretical framework
Experiments with Classifier Combining Rules
Support Vector Machines for Multi-Class Pattern Recognition
An Overview of Classifier Fusion Methods
Statistical Comparisons of Classifiers over Multiple Data Sets
Do we need hundreds of classifiers to solve real world classification problems
Discriminative Methods for Multi-Labeled Classification
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
Comparison of three classification techniques: CART, C4.5 and Multi-Layer Perceptrons
Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers
Using discriminant analysis for multi-class classification: an experimental investigation
Multi-class Support Vector Machines
Ensemble-based classifiers
Dermoscopy compared with naked eye examination for the diagnosis of primary melanoma: a meta-analysis of studies performed in a clinical setting
Understanding the canine intestinal microbiota and its modification by pro‐, pre‐ and synbiotics – what is the evidence?
Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference
Ensemble Learning using Decorrelated Neural Networks
Imperceptible depth shifts for touch interaction with stereoscopic objects