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Found 5 papers, 2 papers with code
Even-if Explanations: Formal Foundations, Priorities and Complexity
After this, we introduce a preference-based framework that enables users to personalize explanations based on their preferences, both in the case of semifactuals and counterfactuals, enhancing interpretability and user-centricity.
JGPR: a computationally efficient multi-target Gaussian process regression algorithm
Multi-target regression algorithms are designed to predict multiple outputs at the same time, and allow us to take all output variables into account during the training phase.
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data through deep generative modeling.
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Various solutions have been proposed in the literature to reduce this cost, such as crowdsourced data collection, or the use of semi-supervised algorithms.
Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Indoor human activity recognition (HAR) explores the correlation between human body movements and the reflected WiFi signals to classify different activities.
