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2020 – today
- 2024
[c7]Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina:
Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning. FAIMI/EPIMI@MICCAI 2024: 14-23- [i7]Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina:
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning. CoRR abs/2407.17543 (2024) - 2023
- [c6]Petra Heck, Gerard Schouten:
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform. CAIN 2023: 119-126 - [c5]Sverre van Gompel, Gerard Schouten, Willem Huijbers, Maarten J. Versluis:
Robust Automated Fiber Tracking: A Hybrid Software Architecture for Processing and Visualizing Diffusion Magnetic Resonance Imaging Data. ICSA-C 2023: 75-80 - [c4]Asli Kumcu, Ljiljana Platisa, Bart Goossens, Amber J. Gislason-Lee, Andrew G. Davies, Gerard Schouten, Dimitri Buytaert, Klaus Bacher, Wilfried Philips:
A visibility overshoot index for interventional x-ray image quality assessment. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [i6]Petra Heck, Gerard Schouten:
Defining Quality Requirements for a Trustworthy AI Wildflower Monitoring Platform. CoRR abs/2303.13151 (2023) - 2021
- [c3]Petra Heck, Gerard Schouten:
Lessons Learned from Educating AI Engineers. WAIN@ICSE 2021: 47-50 - [i5]Petra Heck, Gerard Schouten:
Lessons Learned from Educating AI Engineers. CoRR abs/2103.10703 (2021) - [i4]Ralf Raumanns, Gerard Schouten, Max Joosten, Josien P. W. Pluim, Veronika Cheplygina:
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification. CoRR abs/2107.12734 (2021) - 2020
- [c2]Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina:
Risk of Training Diagnostic Algorithms on Data with Demographic Bias. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 183-192 - [c1]Mirella Sangiovanni, Gerard Schouten, Willem-Jan van den Heuvel:
An IoT Beehive Network for Monitoring Urban Biodiversity: Vision, Method, and Architecture. SummerSOC 2020: 33-42 - [i3]Ralf Raumanns, Elif K. Contar, Gerard Schouten, Veronika Cheplygina:
Multi-task Learning with Crowdsourced Features Improves Skin Lesion Diagnosis. CoRR abs/2004.14745 (2020) - [i2]Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina:
Risk of Training Diagnostic Algorithms on Data with Demographic Bias. CoRR abs/2005.10050 (2020) - [i1]Petra Heck, Gerard Schouten:
Turning Software Engineers into AI Engineers. CoRR abs/2011.01590 (2020)
2000 – 2009
- 2006
- [p1]Svein O. Hallsteinsen, Gerard Schouten, Gert Boot, Tor Erlend Fægri:
Dealing with Architectural Variation in Product Populations. Software Product Lines 2006: 245-273
Coauthor Index
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