Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems
EXTRACTING RULES FROM MULTILAYER PERCEPTRONS IN CLASSIFICATION PROBLEMS: A CLUSTERING-BASED APPROACH
Fast Effective Rule Induction
Bayesian Rule Sets for Interpretable Classification
Separate-and-Conquer Rule Learning
Rule-Based Information Extraction is Dead! Long Live Rule-Based Information Extraction Systems!
Selective Classification for Deep Neural Networks
Predictive learning via rule ensembles
Learning Explanatory Rules from Noisy Data
bottom - up relational learning of pattern matching rules for information extraction .
Distilling a Neural Network Into a Soft Decision Tree
Automated problem identification: regression vs classification via evolutionary deep networks
NeuroLinear: From neural networks to oblique decision rules
Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations
Refinement and selection heuristics in subgroup discovery and classification rule learning
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
Discovery, Analysis, and Presentation of Strong Rules
Rule-Based Problem Classification in IT Service Management
Experiments with Classifier Combining Rules
Subjective bayesian methods for rule-based inference systems
The Use of a Bayesian Neural Network Model for Classification Tasks
Neural net pruning-why and how
Morinda citrifolia Linn. (Noni) and Its Potential in Obesity-Related Metabolic Dysfunction
subgraph isomorphism search in massive graph databases .
A Query Structured Approach for Model Transformation
On cross-validation and stacking: building seemingly predictive models on random data