Ghent University Academic Bibliography

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- C1
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Calibrated regression-as-classification for probabilistic forecasting

Jef Jonkers (UGent) , Glenn Van Wallendael (UGent) , Luc Duchateau (UGent) and Sofie Van Hoecke (UGent)

(2026) Proceedings of the AISTATS 2026 workshop. Towards trustworthy predictions : theory and applications of calibration for modern AI.
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Conformal prediction for dose-response models with continuous treatments

Jarne Verhaeghe (UGent) , Jef Jonkers (UGent) and Sofie Van Hoecke (UGent)

(2026) INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 197.
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- Journal Article
- A2
- open access
Inductive conformal prediction for guaranteed class-label coverage in object detection

Mohammed Aliy Mohammed (UGent) , Esla Timothy Anzaku (UGent) , Jef Jonkers (UGent) , Janarthanan Krishnamoorthy, Wesley De Neve (UGent) and Sofie Van Hoecke (UGent)

(2026) JOURNAL OF IMAGING. 12(8).
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- Journal Article
- A1
- open access
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction

Jef Jonkers (UGent) , Frank Coopman (UGent) , Luc Duchateau (UGent) , Glenn Van Wallendael (UGent) and Sofie Van Hoecke (UGent)

(2026) MEDICAL IMAGE ANALYSIS. 110.
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- Journal Article
- A1
- open access
Conditional validity of heteroskedastic conformal regression

Nicolas Dewolf (UGent) , Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2025) INFORMATION AND INFERENCE-A JOURNAL OF THE IMA. 14(2).
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Conformal predictive systems under covariate shift

Jef Jonkers (UGent) , Glenn Van Wallendael (UGent) , Luc Duchateau (UGent) and Sofie Van Hoecke (UGent)

(2024) 13TH SYMPOSIUM ON CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS. In Proceedings of Machine Learning Research 230. p.406-423
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- PhD Thesis
- open access
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning

Nicolas Dewolf (UGent)

(2024)
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Learning from uncertainty : improving churn prediction using conformal confidence intervals

Yameng Guo (UGent) and Seppe vanden Broucke (UGent)

(2024) 2024 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA. In IEEE International Conference on Emerging Technologies and Factory Automation-ETFA p.9-16
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- Journal Article
- A1
- open access
A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests

Jef Jonkers (UGent) , Diego Nieves Avendano (UGent) , Glenn Van Wallendael (UGent) and Sofie Van Hoecke (UGent)

(2024) APPLIED ENERGY. 361.
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Reproducible WiSDM: a workflow for reproducible invasive alien species risk maps under climate change scenarios using standardized open data

Amy Davis, Quentin Groom, Tim Adriaens, Sonia Vanderhoeven, Rozemien De Troch, Damiano Oldoni, Peter Desmet, Lien Reyserhove, Luc Lens (UGent) and Diederik Strubbe (UGent)

(2024) FRONTIERS IN ECOLOGY AND EVOLUTION. 12.

Academic Bibliography

Calibrated regression-as-classification for probabilistic forecasting

Conformal prediction for dose-response models with continuous treatments

Inductive conformal prediction for guaranteed class-label coverage in object detection

Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction

Conditional validity of heteroskedastic conformal regression

Conformal predictive systems under covariate shift

A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning

Learning from uncertainty : improving churn prediction using conformal confidence intervals

A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests

Reproducible WiSDM: a workflow for reproducible invasive alien species risk maps under climate change scenarios using standardized open data

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