University of Warsaw

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Mateusz Krzyziński, Mikołaj Spytek, Hubert Baniecki et al.

2022 · 99 Zit.

Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination

Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello et al.

2024 · 41 Zit.

What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations

Michał Kuźba, Przemysław Biecek

2020 · 21 Zit.

Artificial intelligence bias auditing – current approaches, challenges and lessons from practice

Sabina Lacmanović, Marinko Škare

2025 · 10 Zit.

How Explainable Is Explainability? Towards Better Metrics for Explainable AI

Aleksandra Pawlicka, Marek Pawlicki, Rafał Kozik et al.

2024 · 9 Zit.

Artificial Intelligence. ECAI 2023 International Workshops

Sławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung et al.

2024 · 8 Zit.

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

Timothy Bergquist, Thomas Schaffter, Yao Yan et al.

2023 · 8 Zit.

Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung Cancer

Katarzyna Kobylińska, Tomasz Mikołajczyk, Mariusz Adamek et al.

2019 · 5 Zit.

Evaluation of crowdsourced mortality prediction models as a framework for assessing AI in medicine

Timothy Bergquist, Thomas Schaffter, Yao Yan et al.

2021 · 5 Zit.

Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics

Hubert Baniecki, Bartłomiej Sobieski, Przemysław Bombiński et al.

2023 · 5 Zit.

The Rise of AI-Powered Writing: How ChatGPT is Revolutionizing Scientific Communication for Better or for Worse

Aleksandra Pawlicka, Marek Pawlicki, Rafał Kozik et al.

2024 · 5 Zit.

Passivity, Research Risks, and Worker-Type Protections for Research Subjects

Joanna Różyńska

2019 · 4 Zit.

Tech developers must respect equitable AI access

Michał Choraś, Marek Pawlicki, Rafał Kozik et al.

2024 · 2 Zit.

The content analysis used in nursing research and the possibility of including artificial intelligence support: A methodological review

Agnieszka Maj, Marta Makowska, Katarzyna Sacharczuk

2025 · 2 Zit.

The role of artificial intelligence in entrepreneurial decision-making under uncertainty: a corporate entrepreneurship perspective

Tim P. Joussen, Julia Quiel, Julia Schwaeke et al.

2025 · 1 Zit.