Paulina Tworek

According to our database, Paulina Tworek authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data.

Justyna Andrys-Olek, Paulina Tworek, Luca Gherardini, Mark W. Ruddock, Mary Jo Kurt, Peter Fitzgerald, José L. R. Sousa

CoRR, February, 2026

2025

Balancing Natural Language Processing Accuracy and Normalisation in Extracting Medical Insights.

Paulina Tworek, Milosz Bargiel, Yousef Khan, Tomasz Pelech-Pilichowski, Marek Mikolajczyk, Roman Lewandowski, José L. R. Sousa

CoRR, November, 2025

Stability of Machine Learning Predictive Features Under Limited Data.

Karol Capala, Paulina Tworek, José L. R. Sousa

IEEE Trans. Knowl. Data Eng., September, 2025

Machine Learning-Based Decision Support for Allergy Diagnosis: Real-World Implementation in a Hospital Setting.

Paulina Tworek, Maja Szczypka, Julia Kahan, Marek Mikolajczyk, Roman Lewandowski, José L. R. Sousa

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

Explainable AI for Allergy Diagnosis: A CACTUS Framework to Address Doctor Variability.

Luca Gherardini, Paulina Tworek, Maja Szczypka, Yousef Khan, Marek Mikolajczyk, Roman Lewandowski, José L. R. Sousa

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

The Significance of Data Abstraction Methods in Machine Learning Classification Processes for Critical Decision-Making.

Karol Capala, Paulina Tworek, José L. R. Sousa

CoRR, 2024