Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Optimizing area under the ROC curve via extreme learning machines
Optimising area under the ROC curve using gradient descent
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention
Analyzing a Portion of the ROC Curve
Online AUC Maximization
trends in extreme learning machines : a review .
A simplified extension of the Area under the ROC to the multiclass domain
Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation
Measuring classifier performance: a coherent alternative to the area under the ROC curve
Two-hidden-layer extreme learning machine for regression and classification
Local Receptive Fields Based Extreme Learning Machine
Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
A Kind of Parameters Self-adjusting Extreme Learning Machine
Fully complex extreme learning machine
A fast pruned-extreme learning machine for classification problem
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
A Relationship between the Average Precision and the Area Under the ROC Curve
Weighted extreme learning machine for imbalance learning
Extreme learning machine and its applications
Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking
Multimodal interfaces for dynamic interactive maps
Facilitating Natural Conversational Agent Interactions: Lessons from a Deception Experiment
from the body ’ s viscera to the body ’ s image : is there a link between interoception and body image concerns ? .
Text categorization with support vector machines: Learning with many relevant features