Creating and maintaining a healthy vascular access is a critical factor in successful home hemodialysis (HD). This article aims to serve as a "how-to manual" regarding vascular access issues for both patients and health-care providers in a home HD program. This document outlines cannulation options for patients with arteriovenous access and describes troubleshooting techniques for potential com...

We study the problem of troubleshooting machine learning systems that rely on analytical pipelines of distinct components. Understanding and fixing errors that arise in such integrative systems is difficult as failures can occur at multiple points in the execution workflow. Moreover, errors can propagate, become amplified or be suppressed, making blame assignment difficult. We propose a human-i...

Games are seen as attractive potential learning tools because of their ability to engage players and immerse them in situations that invite application of content and skills. However, it is not always clear whether educational games encourage players to utilize particular cognitive processes, access appropriate prior knowledge concepts, and/or apply given procedural skills as intended. Research...

Cloud Causality Analyzer (CCA) is an ML-based analytical pipeline to automate the tedious process of Root Cause Analysis (RCA) IT events. The 3-stage composed 9 functional modules, including dimensionality reduction (feature engineering, selection and compression), embedded anomaly detection, ensemble 3 custom explainability causality models for Key Performance Indicators (KPI). Our challenge i...