| Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach | Aug 3, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Bayesian Optimization of Risk Measures | Jul 10, 2020 | Bayesian OptimizationDecision Making | CodeCode Available | 1 | 5 |
| Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations | Feb 23, 2020 | Atari GamesDecision Making | CodeCode Available | 1 | 5 |
| Bayesian Optimization with Conformal Prediction Sets | Oct 22, 2022 | Active LearningBayesian Optimization | CodeCode Available | 1 | 5 |
| Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision Making | Oct 26, 2021 | Decision MakingDescriptive | CodeCode Available | 1 | 5 |
| An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability | Sep 11, 2021 | Decision MakingInformation Retrieval | CodeCode Available | 1 | 5 |
| FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization | May 10, 2024 | Decision MakingDecoder | CodeCode Available | 1 | 5 |
| Digital Transformation in the Water Distribution System based on the Digital Twins Concept | Dec 9, 2024 | Decision MakingScheduling | CodeCode Available | 1 | 5 |
| Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection | Jun 13, 2025 | Anomaly DetectionDecision Making | CodeCode Available | 1 | 5 |
| An Introduction to Deep Reinforcement Learning | Nov 30, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
