Date	Venue	Title	Links
2025-04-25	ICLR 2025 Singapore	Efficient and accurate explanation estimation with distribution compression	[poster] [paper]
2024-12-12	NeurIPS 2024 Vancouver, Canada	shapiq: Shapley interactions for machine learning	[poster] [paper]
2024-09-11	ECML PKDD 2024 Vilnius, Lithuania	On the robustness of global feature effect explanations	[slides] [paper] [poster]
2024-07-27	ICML 2024 Vienna, Austria	Efficient and accurate explanation estimation with distribution compression	[poster] [paper]
2024-02-12	BIRS 2024 Banff, Canada	Interpretable machine learning for time-to-event prediction in medicine and healthcare	[slides] [video]
2023-08-31	IJCAI 2023 Macao, SAR China	Adversarial attacks and defenses in explainable artificial intelligence: A survey	[slides] [paper]
2023-06-13	AIME 2023 Portoroz, Slovenia	Hospital length of stay prediction based on multi-modal data towards trustworthy human-AI collaboration in radiomics	[slides] [paper]
2022-11-05	ML in PL 2022 Warsaw, Poland	Interactive sequential analysis of a model improves the performance of human decision-making	[slides] [paper] [video]
2022-09-21	ECML PKDD 2022 Grenoble, France	Fooling partial dependence via data poisoning	[slides] [paper] [poster]
2022-08-08	JSM 2022 Washington DC, USA	dalex: Responsible machine learning with interactive explainability and fairness in Python	[award] [slides] [abstract] [paper]
2022-02-25	AAAI 2022 virtual	Manipulating SHAP via adversarial data perturbations	[poster] [paper] [demo]
2021-11-06	ML in PL 2021 virtual	Manipulating explainability and fairness in machine learning	[slides]
2021-07-07	useR! 2021 virtual	Introduction to responsible machine learning	[materials] [video]
2021-07-05	useR! 2021 virtual	Open the machine learning black-box with modelStudio & Arena	[slides] [video] [demo]
2021-02-06	AAAI 2021 virtual	Responsible prediction making of COVID-19 mortality	[poster] [paper] [demo]