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Michael Schröder 0005

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affiliation: TU Wien, Vienna, Austria

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2020 – today

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2023
[c5]
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Gerhard Jungwirth, Aakanksha Saha, Michael Schröder, Tobias Fiebig, Martina Lindorfer, Jürgen Cito:
Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. MSR 2023: 322-333
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  - journals/corr/abs-2304-09733
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Michael Schröder, Marc Goritschnig, Jürgen Cito:
An Exploratory Study of Ad Hoc Parsers in Python. CoRR abs/2304.09733 (2023)
2022
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Michael Schröder, Jürgen Cito:
An empirical investigation of command-line customization. Empir. Softw. Eng. 27(2): 30 (2022)
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Michael Schröder, Jürgen Cito:
Grammars for Free: Toward Grammar Inference for Ad Hoc Parsers. ICSE (NIER) 2022: 41-45
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Michael Schröder, Katja Kevic, Dan Gopstein, Brendan Murphy, Jennifer Beckmann:
Discovering feature flag interdependencies in Microsoft office. ESEC/SIGSOFT FSE 2022: 1419-1429
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Michael Schröder:
Grammar Inference for Ad Hoc Parsers. SPLASH Companion 2022: 38-42
[i4]
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  - journals/corr/abs-2202-01021
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Michael Schröder, Jürgen Cito:
Grammars for Free: Toward Grammar Inference for Ad Hoc Parsers. CoRR abs/2202.01021 (2022)
2020
[c1]
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Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CIKM 2020: 3031-3038
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  - journals/corr/abs-2008-05363
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Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CoRR abs/2008.05363 (2020)
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  - journals/corr/abs-2010-02666
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Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury:
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. CoRR abs/2010.02666 (2020)
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  - journals/corr/abs-2012-10206
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Michael Schröder, Jürgen Cito:
An Empirical Investigation of Command-Line Customization. CoRR abs/2012.10206 (2020)

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