Tobias D. Krafft

Orcid: 0000-0002-3527-1092

According to our database1, Tobias D. Krafft authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Black-Box Testing and Auditing of Bias in ADM Systems.
Minds Mach., June, 2024

2023
Quantitative study about the estimated impact of the AI Act.
CoRR, 2023

2021
Crucial Challenges in Large-Scale Black Box Analyses.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2020
Quantitative analysis of automatic performance evaluation systems based on the h-index.
Scientometrics, 2020

Data Donations for Mapping Risk in Google Search of Health Queries: A case study of unproven stem cell treatments in SEM.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems.
Proceedings of the Bias and Social Aspects in Search and Recommendation, 2020

2019
What did you see? A study to measure personalization in Google's search engine.
EPJ Data Sci., 2019

2018
What did you see? Personalization, regionalization and the question of the filter bubble in Google's search engine.
CoRR, 2018

Qualitätsmaße binärer Klassifikationen im Bereich kriminalprognostischer Instrumente der vierten Generation.
CoRR, 2018

2017
Algorithmen und Meinungsbildung - Eine grundlegende Einführung.
Inform. Spektrum, 2017

Ein Faktencheck - Ließ ein Algorithmus Trump triumphieren?
Inform. Spektrum, 2017

Users - The Hidden Software Product Quality Experts?: A Study on How App Users Report Quality Aspects in Online Reviews.
Proceedings of the 25th IEEE International Requirements Engineering Conference, 2017


  Loading...