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- 2024
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Mark
AlphaML : A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
(
- Contribution to journal › Article
- 2023
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Mark
Associations of age, BMI, and renal function to cortisol after dexamethasone suppression in patients with adrenal incidentalomas
(
- Contribution to journal › Article
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Mark
Four Facets of AI Transparency
2023) p.445-455(
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
2023) 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023 In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
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Mark
Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
(
- Contribution to journal › Article
- 2020
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Mark
Transparency in artificial intelligence
(
- Contribution to journal › Article
- 2019
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Mark
Sustainable AI : An inventory of the state of knowledge of ethical, social, and legal challenges related to artificial intelligence
2019)(
- Book/Report › Report