| Explainable Deep Learning for Augmentation of sRNA Expression Profiles | Sep 26, 2019 | Data AugmentationDeep Learning | —Unverified | 0 |
| Model-Agnostic Feature Selection with Additional Mutual Information | Sep 25, 2019 | Feature Importancefeature selection | —Unverified | 0 |
| Explaining Time Series by Counterfactuals | Sep 25, 2019 | counterfactualFeature Importance | —Unverified | 0 |
| Measure Contribution of Participants in Federated Learning | Sep 17, 2019 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Classification-Specific Parts for Improving Fine-Grained Visual Categorization | Sep 16, 2019 | ClassificationFeature Importance | CodeCode Available | 0 |
| Explainable Machine Learning in Deployment | Sep 13, 2019 | BIG-bench Machine Learningcounterfactual | —Unverified | 0 |
| NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks | Sep 10, 2019 | Feature Importance | —Unverified | 0 |
| OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data | Sep 9, 2019 | Feature ImportancePrognosis | CodeCode Available | 0 |
| Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario | Aug 18, 2019 | BIG-bench Machine LearningFeature Engineering | CodeCode Available | 0 |
| eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair | Aug 18, 2019 | Feature EngineeringFeature Importance | CodeCode Available | 0 |
| Benchmarking Attribution Methods with Relative Feature Importance | Jul 23, 2019 | BenchmarkingFeature Importance | CodeCode Available | 0 |
| Spatially-Coupled Neural Network Architectures | Jul 3, 2019 | Feature Importance | —Unverified | 0 |
| Graph Neural Network for Interpreting Task-fMRI Biomarkers | Jul 2, 2019 | Feature ImportanceGraph Neural Network | —Unverified | 0 |
| Learning to Rank Broad and Narrow Queries in E-Commerce | Jul 1, 2019 | DenoisingFeature Importance | —Unverified | 0 |
| A Debiased MDI Feature Importance Measure for Random Forests | Jun 26, 2019 | Feature Importancefeature selection | CodeCode Available | 0 |
| Modeling Severe Traffic Accidents With Spatial And Temporal Features | Jun 25, 2019 | Feature ImportanceGaussian Processes | —Unverified | 0 |
| DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems | Jun 24, 2019 | ClusteringFeature Importance | CodeCode Available | 0 |
| Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting | May 29, 2019 | Feature Importance | —Unverified | 0 |
| Interpreting a Recurrent Neural Network's Predictions of ICU Mortality Risk | May 23, 2019 | Feature ImportanceICU Mortality | —Unverified | 0 |
| Computationally Efficient Feature Significance and Importance for Machine Learning Models | May 23, 2019 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 |
| FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction | May 23, 2019 | Click-Through Rate PredictionFeature Importance | CodeCode Available | 1 |
| Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees | May 18, 2019 | Feature EngineeringFeature Importance | CodeCode Available | 1 |
| FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine | May 15, 2019 | Click-Through Rate PredictionFeature Importance | CodeCode Available | 0 |
| Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction | May 14, 2019 | Feature ImportanceMortality Prediction | —Unverified | 0 |
| Interpret Federated Learning with Shapley Values | May 11, 2019 | Feature ImportanceFederated Learning | CodeCode Available | 1 |
