30 citations · 54 across the 9 of their papers we have counts for
9 papers
Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores
Ralf Beuthan, Megan Coffee, Heejin Kim +13
The polygenic risk scores (PRS) have emerged as an important methodology for quantifying genetic predisposition to complex traits and clinical disease. Significant progress has bee…
Getting Ready for the EU AI Act in Healthcare. A call for Sustainable AI Development and Deployment
John Brandt Brodersen, Ilaria Amelia Caggiano, Pedro Kringen +6
Assessments of trustworthiness have become a cornerstone of responsible AI development. Especially in high-stakes fields like healthcare, aligning technical, evidence-based, and et…
Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment
Marjolein Boonstra, Frédérick Bruneault, Subrata Chakraborty +21
This report shares the experiences, results and lessons learned in conducting a pilot project ``Responsible use of AI'' in cooperation with the Province of Friesland, Rijks ICT Gil…
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI
Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund +2
Assessing the trustworthiness of artificial intelligence systems requires knowledge from many different disciplines. These disciplines do not necessarily share concepts between the…
How to Assess Trustworthy AI in Practice
Roberto V. Zicari, Julia Amann, Frédérick Bruneault +17
This report is a methodological reflection on Z-Inspection. Z-Inspection is a holistic process used to evaluate the trustworthiness of A…
Benchmarking DataStax Enterprise/Cassandra with HiBench
Todor Ivanov, Raik Niemann, Sead Izberovic +3
This report evaluates the new analytical capabilities of DataStax Enterprise (DSE) [1] through the use of standard Hadoop workloads. In particular, we run experiments with CPU and…
Performance Evaluation of Virtualized Hadoop Clusters
Todor Ivanov, Roberto V. Zicari, Sead Izberovic +1
In this report we investigate the performance of Hadoop clusters, deployed with separated storage and compute layers, on top of a hypervisor managing a single physical host. We hav…
On the inequality of the 3V's of Big Data Architectural Paradigms: A case for heterogeneity
Todor Ivanov, Nikolaos Korfiatis, Roberto V. Zicari
The well-known 3V architectural paradigm for Big Data introduced by Laney (2011), provides a simplified framework for defining the architecture of a big data platform to be deploye…
Does query performance optimization lead to energy efficiency? A comparative analysis of energy efficiency of database operations under different workload scenarios
Raik Niemann, Nikolaos Korfiatis, Roberto Zicari +1
With the continuous increase of online services as well as energy costs, energy consumption becomes a significant cost factor for the evaluation of data center operations. A signif…