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Disambiguation of "Hilton, Michael"

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Trust in Generative AI among Students: An exploratory study.

, , , , , , , and . SIGCSE (1), page 67-73. ACM, (2024)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Said Hilton

Michael Bode

Le groupe international de sociétés: le système de conflit de lois en droit comparé français et allemand. HU Berlin, (2009)

Michael Liecke

Subnationale Clusterpolitik: die Biotechnologiepolitik deutscher Länder im Vergleich. Uni München, (2009)

Michael Schoierer

NS-Diktatur, Anomie und Demokratisierung Westdeutschlands. Uni Augsburg, (2007)

Michael Krug

X-ray crystallographic analysis of the archaeal transcriptional regulator TrmB and development of a graphical user interface for the monochromatic diffraction data processing software XDS. Uni Konstanz, (2009)
 

Other publications of authors with the same name

Flake It 'Till You Make It: Using Automated Repair to Induce and Fix Latent Test Flakiness., , , and . ICSE (Workshops), page 11-12. ACM, (2020)On teaching arrays with test-driven learning in WebIDE., and . ITiCSE, page 93-98. ACM, (2012)A conceptual replication of continuous integration pain points in the context of Travis CI., , , and . ESEC/SIGSOFT FSE, page 647-658. ACM, (2019)Trust in Generative AI among students: An Exploratory Study., , , , , , and . CoRR, (2023)230, 439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers., , , and . CoRR, (2024)What Do Developer-Repaired Flaky Tests Tell Us About the Effectiveness of Automated Flaky Test Detection?, , , and . AST@ICSE, page 160-164. ACM/IEEE, (2022)It Takes a Village to Build a Robot: An Empirical Study of The ROS Ecosystem., , , , and . ICSME, page 430-440. IEEE, (2020)Empirical Study of Restarted and Flaky Builds on Travis CI., , , and . MSR, page 254-264. ACM, (2020)Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models., , , and . Empir. Softw. Eng., 28 (3): 72 (June 2023)Online Mob Programming: Effective Collaborative Project-Based Learning., and . SIGCSE, page 1283. ACM, (2019)