Joel Persson

According to our database, Joel Persson authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool.

Floris Holstege, Mackenzie Jorgensen, Kirtan Padh, Jurriaan Parie, Joel Persson, Krsto Prorokovic, Lukas Snoek

CoRR, February, 2025

2024

EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context.

Hannes Kunstmann, Joseph Ollier, Joel Persson, Florian von Wangenheim

CoRR, 2024

2023

Causal Machine Learning for Data-Driven Decision-Making: Methods and Applications.

Joel Persson

PhD thesis, 2023

2022

Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine.

Theresa Blümlein, Joel Persson, Stefan Feuerriegel

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Predicting COVID-19 Spread from Large-Scale Mobility Data.

Amray Schwabe, Joel Persson, Stefan Feuerriegel

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021