Kim de Bie

20212022202320242 5 9 1

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Ana LucicMicrosoft Research AmsterdamVerified email at microsoft.com
Hinda HanedOwls & ArrowsVerified email at owlsandarrows.nl
Didier MeuwlyCriminalist, criminologist, Netherland Forensic Institute, University of TwenteVerified email at utwente.nl
Geoffrey Stewart MorrisonForensic Data Science Laboratory, Aston UniversityVerified email at forensic-evaluation.net
Daniel RamosAssociate Professor, Universidad Autonoma de MadridVerified email at uam.es
Phil WeberLecturer in Computer Science, Aston University, UKVerified email at ieee.org
Ewald EnzingerSRI InternationalVerified email at entn.at
Rolf J.F. YpmaNetherlands Forensic Institute, The HagueVerified email at nfi.minvenj.nl
Zeno Geradtsforensic scientistVerified email at uva.nl
Nishant KishoreDoctoral StudentVerified email at g.harvard.edu
Andrea SipkaGerman Research Centre for Artificial Intelligence (DFKI)Verified email at dfki.de

Kim de Bie

Forensic Data Scientist, Netherlands Forensic Institute

Verified email at nfi.nl


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions K de Bie, A Lucic, H Haned ICML 2021 Workshop on Human in the Loop Learning (HILL), 2021	13	2021
A strawman with machine learning for a brain: A response to Biedermann (2022) the strange persistence of (source)“identification” claims in forensic literature GS Morrison, D Ramos, RJF Ypma, N Basu, K Bie, E Enzinger, Z Geradts, ... Forensic Science International: Synergy 4, 2022	3	2022
Using AI to help healthcare professionals stay up-to-date with medical research K de Bie, N Kishore, A Rentsch, P Rosado, A Sipka AI for Social Good, Harvard CRCS Workshop, 2020	1	2020

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