Clemens-Alexander Brust

According to our database, Clemens-Alexander Brust authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic (short paper).

Badr-Eddine Bouhlal, Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust

Proceedings of the 16th ZEUS Workshop, Ulm, Germany, February 29-March 1, 2024., 2024

2023

ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language.

Clemens-Alexander Brust, Tim Sonnekalb, Bernd Gruner

Comput. Secur., May, 2023

TIPICAL - Type Inference for Python In Critical Accuracy Level.

Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System.

Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

A Static Analysis Platform for Investigating Security Trends in Repositories.

Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder

Proceedings of the 1st IEEE/ACM International Workshop on Software Vulnerability, 2023

2022

Semantic knowledge integration for learning from semantically imprecise data.

Clemens-Alexander Brust

PhD thesis, 2022

Self-supervised Learning from Semantically Imprecise Data.

Clemens-Alexander Brust, Björn Barz, Joachim Denzler

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Generalizability of Code Clone Detection on CodeBERT.

Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

ROMEO: Exploring Juliet through the Lens of Assembly Language.

Clemens-Alexander Brust, Bernd Gruner, Tim Sonnekalb

CoRR, 2021

Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance.

Clemens-Alexander Brust, Björn Barz, Joachim Denzler

Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

Investigating the Consistency of Uncertainty Sampling in Deep Active Learning.

Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Active and Incremental Learning with Weak Supervision.

Clemens-Alexander Brust, Christoph Käding, Joachim Denzler

Künstliche Intell., 2020

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge.

Clemens-Alexander Brust, Björn Barz, Joachim Denzler

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Active Learning for Deep Object Detection.

Clemens-Alexander Brust, Christoph Käding, Joachim Denzler

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks.

Stefan Hoffmann, Clemens-Alexander Brust, Maha Shadaydeh, Joachim Denzler

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity.

Clemens-Alexander Brust, Joachim Denzler

Proceedings of the Pattern Recognition, 2019

Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers.

Clemens-Alexander Brust, Joachim Denzler

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Not just a matter of semantics: the relationship between visual similarity and semantic similarity.

Clemens-Alexander Brust, Joachim Denzler

CoRR, 2018

2017

Towards Automated Visual Monitoring of Individual Gorillas in the Wild.

Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks.

Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler

CoRR, 2016

2015

Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding.

Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler

Proceedings of the VISAPP 2015, 2015