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Fritjof Bornebusch
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2020 – today
- 2021
- [b1]Fritjof Bornebusch:
Coq meets CλaSH: proposing a hardware design synthesis flow that combines proof assistants with functional hardware description languages. Bremen University, Germany, 2021 - [c9]Fritjof Bornebusch, Christoph Lüth, Robert Wille, Rolf Drechsler:
Performance Aspects of Correctness-oriented Synthesis Flows. MODELSWARD 2021: 76-86 - 2020
- [c8]Fritjof Bornebusch, Christoph Lüth, Robert Wille, Rolf Drechsler
:
Towards Automatic Hardware Synthesis from Formal Specification to Implementation. ASP-DAC 2020: 375-380 - [c7]Martin Ring, Fritjof Bornebusch, Christoph Lüth, Robert Wille, Rolf Drechsler
Verification Runtime Analysis: Get the Most Out of Partial Verification. DATE 2020: 873-878 - [c6]Fritjof Bornebusch, Christoph Lüth, Robert Wille, Rolf Drechsler
Safety First: About the Detection of Arithmetic Overflows in Hardware Design Specifications. MODELSWARD (Revised Selected Papers) 2020: 26-48 - [c5]Fritjof Bornebusch, Christoph Lüth, Robert Wille, Rolf Drechsler:
Integer Overflow Detection in Hardware Designs at the Specification Level. MODELSWARD 2020: 41-48
2010 – 2019
- 2019
- [c4]Martin Ring, Fritjof Bornebusch, Christoph Lüth, Robert Wille, Rolf Drechsler
Better Late Than Never : Verification of Embedded Systems After Deployment. DATE 2019: 890-895 - 2017
- [c3]Fritjof Bornebusch, Robert Wille, Rolf Drechsler
Towards lightweight satisfiability solvers for self-verification. ISED 2017: 1-5 - 2014
- [c2]Fritjof Bornebusch, Glaucia Cancino, Alvine Nzeungang Fanseu, Maryam Farajzadeh Jalali, Jamal Mohsen, Max Nitze, Christina Plump, Ronald Smith, Djomkam Yotedje, Hubert Fred Tchambo, Toni, Henning Ziegler:
Aspekt-basierte Sentiment Analysis. GI-Jahrestagung 2014: 2389-2400 - [c1]Fritjof Bornebusch, Glaucia Cancino, Melanie Diepenbeck, Rolf Drechsler, Smith Djomkam, Alvine Nzeungang Fanseu, Maryam Jalali, Marc Michael, Jamal Mohsen, Max Nitze, Christina Plump, Mathias Soeken, Hubert Fred Tchambo, Toni, Henning Ziegler:
iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries. SemEval@COLING 2014: 351-355
Coauthor Index
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