Generating Likely Counterfactuals Using Sum-Product Networks
The authors discuss the need for explainable AI systems, focusing on counterfactual explanations that are often used…
The authors discuss the need for explainable AI systems, focusing on counterfactual explanations that are often used…
The article presents an agent-based simulation developed to evaluate an Ambient Intelligence (AmI) scenario. The simulation is…
Global disruptions have exposed vulnerabilities in traditional supply chains, leading to a push for more resilient alternatives….
In this article, the authors present MINT (Make your model Interactive), a wrapper method designed to optimize…
The research focuses on understanding human emotions, particularly fear, in virtual reality (VR) environments. This understanding is…
This research conducted by Kyrie Zhixuan Zhou and colleagues investigates the ethical issues surrounding the use of…
The article presents a new framework for Interactive Machine Learning (IML), aiming to incorporate human expertise into…
The research investigates the security implications of Self-Admitted Technical Debt (SATD), which includes sub-optimal design and implementation…
The paper introduces Meta-Prompting, a scaffolding technique designed to enhance the functionality of language models. This approach…
This research investigates the negative impacts and emotions users experience from using short video platforms, and how…