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2020 – today
- 2025
[c8]Paulina Tomaszewska
, Elzbieta Sienkiewicz, Mai P. Hoang, Przemyslaw Biecek:
Deep Spatial Context: When Attention-Based Models Meet Spatial Regression (Digital Pathology). AIME (1) 2025: 438-447- [c7]Paulina Tomaszewska, Michal Gozdera, Elzbieta Sienkiewicz, Przemyslaw Biecek:
From Input to Insight: Probing the Reasoning of Attention-Based MIL Models. xAI (3) 2025: 264-288 - 2024
- [c6]Paulina Tomaszewska, Przemyslaw Biecek:
Position: Do Not Explain Vision Models Without Context. ICML 2024 - [i5]Paulina Tomaszewska, Elzbieta Sienkiewicz, Mai P. Hoang, Przemyslaw Biecek:
Deep spatial context: when attention-based models meet spatial regression. CoRR abs/2401.10044 (2024) - [i4]Paulina Tomaszewska, Przemyslaw Biecek:
Position paper: Do not explain (vision models) without context. CoRR abs/2404.18316 (2024) - [i3]Paulina Tomaszewska, Mateusz Sperkowski, Przemyslaw Biecek:
Does context matter in digital pathology? CoRR abs/2405.14301 (2024) - 2022
- [c5]Paulina Tomaszewska, Adam Zychowski, Jacek Mandziuk:
Duel-based Deep Learning system for solving IQ tests. AISTATS 2022: 10483-10492 - [c4]Paulina Tomaszewska, Christoph H. Lampert:
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift. ICPR 2022: 2128-2134 - [c3]Paulina Tomaszewska:
Information Injection to Deep Learning Solutions in Knowledge Transfer. IJCAI 2022: 5879-5880 - [c2]Paulina Tomaszewska, Christoph H. Lampert:
On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift. RRPR 2022: 67-73 - [c1]Bertrand Kerautret, Konstantin Kirchheim, Daniel P. Lopresti, Phuc Ngo, Paulina Tomaszewska:
Promoting Reproducibility of Research Results in International Events (Report from the 4th RRPR). RRPR 2022: 111-123 - [i2]Paulina Tomaszewska, Christoph H. Lampert:
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift. CoRR abs/2206.05181 (2022) - 2021
- [j1]Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek:
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies. Pattern Recognit. 118: 108035 (2021) - 2020
- [i1]Weronika Hryniewska, Przemyslaw Bombinski, Patryk Szatkowski, Paulina Tomaszewska, Artur Przelaskowski, Przemyslaw Biecek:
Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection. CoRR abs/2012.08333 (2020)
Coauthor Index
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