Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A Uniform Convergence Bound for the Area Under the ROC Curve
AUC Optimization vs. Error Rate Minimization
An Axiomatically Derived Measure for the Evaluation of Classification Algorithms
Bootstrap estimated true and false positive rates and ROC curve
Bounds on Error Expectation for Support Vector Machines
Optimizing Expected Intersection-Over-Union with Candidate-Constrained CRFs
beyond fano ' s inequality : bounds on the optimal f - score , ber , and cost - sensitive risk and their implications .
Survival model predictive accuracy and ROC curves.
Expectation of f-measures: tractable exact computation and some empirical observations of its properties
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Empirical Bounds on Linear Regions of Deep Rectifier Networks
Precision-Recall versus Accuracy and the Role of Large Data Sets
what roc curves can ' t do ( and cost curves can ) .
Universal approximation bounds for superpositions of a sigmoidal function
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes
Optimal thresholding of classifiers to maximize F1 measure
Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness & Correlation
AUC Maximizing Support Vector Learning
A generalized confusion matrix for assessing area estimates from remotely sensed data
A Semi-Supervised AUC Optimization Method with Generative Models
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Classification and Regression Trees
Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
Popcorn: the personal knowledge base
Overlooked retained intraocular foreign body.
Low-Profile Narrow-Frame Antenna for Seven-Band WWAN/LTE Smartphone Applications