| A Deep Learning Method for Comparing Bayesian Hierarchical Models | Jan 27, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| A methodology based on Trace-based clustering for patient phenotyping | Nov 28, 2021 | ClusteringData Mining | CodeCode Available | 0 | 5 |
| Explainable Multi-View Deep Networks Methodology for Experimental Physics | Aug 16, 2023 | Decision MakingMULTI-VIEW LEARNING | CodeCode Available | 0 | 5 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms | Jul 19, 2022 | Decision MakingFault Diagnosis | CodeCode Available | 0 | 5 |
| A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud | May 31, 2022 | CPUDecision Making | CodeCode Available | 0 | 5 |
| Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels | Feb 11, 2022 | Computed Tomography (CT)Decision Making | CodeCode Available | 0 | 5 |
| A meta-learning recommender system for hyperparameter tuning: predicting when tuning improves SVM classifiers | Jun 4, 2019 | Decision MakingMeta-Learning | CodeCode Available | 0 | 5 |
| Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions | May 15, 2024 | Collision AvoidanceDecision Making | CodeCode Available | 0 | 5 |
| Explainable AI models for predicting liquefaction-induced lateral spreading | Apr 24, 2024 | Decision Making | CodeCode Available | 0 | 5 |