Paulina Tomaszewska

According to our database, Paulina Tomaszewska authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Does context matter in digital pathology?

Paulina Tomaszewska, Mateusz Sperkowski, Przemyslaw Biecek

CoRR, 2024

Position paper: Do not explain (vision models) without context.

Paulina Tomaszewska, Przemyslaw Biecek

CoRR, 2024

Deep spatial context: when attention-based models meet spatial regression.

Paulina Tomaszewska, Elzbieta Sienkiewicz, Mai P. Hoang, Przemyslaw Biecek

CoRR, 2024

Position: Do Not Explain Vision Models Without Context.

Paulina Tomaszewska, Przemyslaw Biecek

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift.

Paulina Tomaszewska, Christoph H. Lampert

Proceedings of the Reproducible Research in Pattern Recognition, 2022

Promoting Reproducibility of Research Results in International Events (Report from the 4^th RRPR).

Bertrand Kerautret, Konstantin Kirchheim, Daniel P. Lopresti, Phuc Ngo, Paulina Tomaszewska

Proceedings of the Reproducible Research in Pattern Recognition, 2022

Information Injection to Deep Learning Solutions in Knowledge Transfer.

Paulina Tomaszewska

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.

Paulina Tomaszewska, Christoph H. Lampert

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Duel-based Deep Learning system for solving IQ tests.

Paulina Tomaszewska, Adam Zychowski, Jacek Mandziuk

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies.

Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek

Pattern Recognit., 2021

2020

Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection.

Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek

CoRR, 2020