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ORCIDClemens-Alexander Brust
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2020 – today
- 2024
[c16]Bernd Gruner, Sebastian Thomas Heckner, Tim Sonnekalb, Badr-Eddine Bouhlal, Clemens-Alexander Brust:
Finding a Needle in a Haystack: Threat Analysis in Open-Source Projects. SANER (Companion) 2024: 141-145- [c15]Badr-Eddine Bouhlal, Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust:
User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic (short paper). ZEUS 2024: 63-72 - 2023
- [j2]Clemens-Alexander Brust
, Tim Sonnekalb, Bernd Gruner:
ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language. Comput. Secur. 128: 103165 (2023) - [c14]Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder:
A Static Analysis Platform for Investigating Security Trends in Repositories. SVM 2023: 1-5 - [c13]Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust:
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. MSR 2023: 158-169 - [c12]Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust:
TIPICAL - Type Inference for Python In Critical Accuracy Level. SERA 2023: 16-21 - [i13]Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Lynn von Kurnatowski, Andreas Schreiber, Thomas S. Heinze, Patrick Mäder:
A Static Analysis Platform for Investigating Security Trends in Repositories. CoRR abs/2304.01725 (2023) - [i12]Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust:
TIPICAL - Type Inference for Python In Critical Accuracy Level. CoRR abs/2308.02675 (2023) - 2022
- [b1]Clemens-Alexander Brust:
Semantic knowledge integration for learning from semantically imprecise data. University of Jena, Germany, 2022 - [c11]Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder:
Generalizability of Code Clone Detection on CodeBERT. ASE 2022: 143:1-143:3 - [c10]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-supervised Learning from Semantically Imprecise Data. VISIGRAPP (5: VISAPP) 2022: 27-35 - [i11]Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust:
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. CoRR abs/2208.09189 (2022) - [i10]Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder:
Generalizability of Code Clone Detection on CodeBERT. CoRR abs/2208.12588 (2022) - 2021
- [c9]Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler:
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. GCPR 2021: 159-173 - [c8]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance. GI-Jahrestagung 2021: 417-423 - [i9]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-Supervised Learning from Semantically Imprecise Data. CoRR abs/2104.10901 (2021) - [i8]Clemens-Alexander Brust, Bernd Gruner, Tim Sonnekalb:
ROMEO: Exploring Juliet through the Lens of Assembly Language. CoRR abs/2112.06623 (2021) - 2020
- [j1]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active and Incremental Learning with Weak Supervision. Künstliche Intell. 34(2): 165-180 (2020) - [c7]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. ICPR 2020: 6866-6873 - [i7]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active and Incremental Learning with Weak Supervision. CoRR abs/2001.07100 (2020) - [i6]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. CoRR abs/2010.06469 (2020)
2010 – 2019
- 2019
- [c6]Clemens-Alexander Brust, Joachim Denzler:
Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers. ACPR (1) 2019: 3-16 - [c5]Clemens-Alexander Brust, Joachim Denzler:
Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity. GCPR 2019: 414-427 - [c4]Stefan Hoffmann, Clemens-Alexander Brust, Maha Shadaydeh, Joachim Denzler:
Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks. IGARSS 2019: 5152-5155 - [c3]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active Learning for Deep Object Detection. VISIGRAPP (5: VISAPP) 2019: 181-190 - 2018
- [i5]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active Learning for Deep Object Detection. CoRR abs/1809.09875 (2018) - [i4]Clemens-Alexander Brust, Joachim Denzler:
Not just a matter of semantics: the relationship between visual similarity and semantic similarity. CoRR abs/1811.07120 (2018) - [i3]Clemens-Alexander Brust, Joachim Denzler:
Integrating domain knowledge: using hierarchies to improve deep classifiers. CoRR abs/1811.07125 (2018) - 2017
- [c2]Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler:
Towards Automated Visual Monitoring of Individual Gorillas in the Wild. ICCV Workshops 2017: 2820-2830 - 2016
- [i2]Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler:
Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks. CoRR abs/1606.04333 (2016) - 2015
- [c1]Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler:
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. VISAPP (2) 2015: 510-517 - [i1]Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler:
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. CoRR abs/1502.06344 (2015)
Coauthor Index
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last updated on 2024-09-28 02:19 CEST by the dblp team
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