| Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks | Feb 6, 2018 | Feature ImportanceMixture-of-Experts | CodeCode Available | 0 |
| Building effective deep neural networks one feature at a time | Jan 1, 2018 | Feature Importance | —Unverified | 0 |
| INTERPRETATION OF NEURAL NETWORK IS FRAGILE | Jan 1, 2018 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Variable Importance Using Decision Trees | Dec 1, 2017 | Feature Importance | —Unverified | 0 |
| AutoLearn - Automated Feature Generation and Selection | Nov 17, 2017 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 |
| Feature importance scores and lossless feature pruning using Banzhaf power indices | Nov 14, 2017 | Feature ImportanceGeneral Classification | —Unverified | 0 |
| Interpretation of Neural Networks is Fragile | Oct 29, 2017 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 |
| Random Forest DBSCAN for USPTO Inventor Name Disambiguation | Sep 14, 2017 | BlockingClustering | —Unverified | 0 |
| A Broad Learning Approach for Context-Aware Mobile Application Recommendation | Sep 11, 2017 | Feature Importance | —Unverified | 0 |
| A hybrid supervised/unsupervised machine learning approach to solar flare prediction | Jun 21, 2017 | BIG-bench Machine LearningClustering | —Unverified | 0 |
