Paulina Tomaszewska

Orcid: 0000-0001-6767-1018

According to our database1, Paulina Tomaszewska authored at least 13 papers between 2020 and 2025.

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Bibliography

2025
From Input to Insight: Probing the Reasoning of Attention-Based MIL Models.
Proceedings of the Explainable Artificial Intelligence, 2025

Deep Spatial Context: When Attention-Based Models Meet Spatial Regression (Digital Pathology).
Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024
Does context matter in digital pathology?
CoRR, 2024

Position paper: Do not explain (vision models) without context.
CoRR, 2024

Deep spatial context: when attention-based models meet spatial regression.
CoRR, 2024

Position: Do Not Explain Vision Models Without Context.
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.
Proceedings of the Reproducible Research in Pattern Recognition, 2022

Promoting Reproducibility of Research Results in International Events (Report from the 4<sup>th</sup> RRPR).
Proceedings of the Reproducible Research in Pattern Recognition, 2022

Information Injection to Deep Learning Solutions in Knowledge Transfer.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Duel-based Deep Learning system for solving IQ tests.
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.
Pattern Recognit., 2021

2020
Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection.
CoRR, 2020


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