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2020 – today
- 2025
[j2]Anna Serlachius, Joanna McClintock, Anna Boggiss, Katie Babbott, Chloe Hudson, Paul Hofman, Hiran Thabrew, Alana Cavadino, Craig Jefferies, Ryan Paul, Martin de Bock, Jennifer Sherr:
Lifting the wellbeing of adolescents and young adults with type 1 diabetes: A feasibility study of the LIFT app. Int. J. Medical Informatics 203: 105992 (2025)- [i7]Christopher Bülte, Yusuf Sale, Timo Löhr, Paul Hofman, Gitta Kutyniok, Eyke Hüllermeier:
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression. CoRR abs/2504.18433 (2025) - [i6]Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier:
Credal Prediction based on Relative Likelihood. CoRR abs/2505.22332 (2025) - [i5]Paul Hofman, Yusuf Sale, Eyke Hüllermeier:
Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks. CoRR abs/2505.22538 (2025) - 2024
- [c6]Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier:
Label-wise Aleatoric and Epistemic Uncertainty Quantification. UAI 2024: 3159-3179 - [i4]Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler:
Second-Order Uncertainty Quantification: Variance-Based Measures. CoRR abs/2401.00276 (2024) - [i3]Paul Hofman, Yusuf Sale, Eyke Hüllermeier:
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules. CoRR abs/2404.12215 (2024) - [i2]Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier:
Label-wise Aleatoric and Epistemic Uncertainty Quantification. CoRR abs/2406.02354 (2024) - 2023
- [j1]Paul Tourniaire
, Marius Ilie, Paul Hofman, Nicholas Ayache, Hervé Delingette:
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images. Medical Image Anal. 85: 102763 (2023) - [c5]Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier:
Conformal Prediction with Partially Labeled Data. COPA 2023: 251-266 - [c4]Elena Terzieva, Maximilian Muschalik, Paul Hofman, Eyke Hüllermeier:
Identifying Trends in Feature Attributions During Training of Neural Networks. PKDD/ECML Workshops (2) 2023: 360-366 - [c3]Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier:
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI 2023: 2282-2292 - [i1]Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier:
Conformal Prediction with Partially Labeled Data. CoRR abs/2306.01191 (2023) - 2021
- [c2]Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Herve Delingette:
Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset. COMPAY@MICCAI 2021: 216-226
2000 – 2009
- 2009
- [c1]Sylvain Housseman, Nabil Absi, Stéphane Dauzère-Pérès, Christian Chabannon, Paul Hofman:
Simulation as a Decision Support Tool - Estimating the Impacts of using RFID Technologies within Biobanks. HEALTHINF 2009: 337-343
Coauthor Index
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