Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
This repository contains the complete implementation for our research on the explainability-fairness trade-off in medical imaging AI systems. We conduct a comprehensive comparative study of three ...
Does sharing candy or telling the truth mean the same thing for children everywhere? Research across different societies shows that cooperation grows through learning local rules, not by following one ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Fairness in federated learning (FL) has emerged as a critical concern, aiming to develop an unbiased model among groups (e.g., male or female) of diverse sensitive features. However, there ...