Paul Hofman

18 papers A* 1A 2Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Credal Prediction through Decalibration.
CoRR
Paul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier
2026 A* conf
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All.
AAAI
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
2025 J jnl
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression.
CoRR
Christopher Bülte, Yusuf Sale, Timo Löhr, Paul Hofman, Gitta Kutyniok, Eyke Hüllermeier
2025 J jnl
Credal Prediction based on Relative Likelihood.
CoRR
Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier
2025 J jnl
Lifting the wellbeing of adolescents and young adults with type 1 diabetes: A feasibility study of the LIFT app.
Int. J. Medical Informatics
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
2025 J jnl
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All.
CoRR
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
2025 J jnl
Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks.
CoRR
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
2024 A conf
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
UAI
Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier
2024 J jnl
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
CoRR
Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier
2024 J jnl
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules.
CoRR
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
2024 J jnl
Second-Order Uncertainty Quantification: Variance-Based Measures.
CoRR
Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler
2023 — conf
Conformal Prediction with Partially Labeled Data.
COPA
Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier
2023 J jnl
Conformal Prediction with Partially Labeled Data.
CoRR
Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier
2023 — conf
Identifying Trends in Feature Attributions During Training of Neural Networks.
PKDD/ECML Workshops (2)
Elena Terzieva, Maximilian Muschalik, Paul Hofman, Eyke Hüllermeier
2023 J jnl
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images.
Medical Image Anal.
Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Hervé Delingette
2023 A conf
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
UAI
Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier
2021 — conf
Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset.
COMPAY@MICCAI
Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Herve Delingette
2009 — conf
Simulation as a Decision Support Tool - Estimating the Impacts of using RFID Technologies within Biobanks.
HEALTHINF
Sylvain Housseman, Nabil Absi, Stéphane Dauzère-Pérès, Christian Chabannon, Paul Hofman