Clemens-Alexander Brust

Orcid: 0000-0001-5419-1998

According to our database1, Clemens-Alexander Brust authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
1
1
1
1
1
3
3
2
2
1
4
1
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic (short paper).
Proceedings of the 16th ZEUS Workshop, Ulm, Germany, February 29-March 1, 2024., 2024

Finding a Needle in a Haystack: Threat Analysis in Open-Source Projects.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Vulnerability Prediction and Assessment Using Software Product Metrics and Machine Learning: What Does Not Work.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

2023
ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language.
Comput. Secur., May, 2023

TIPICAL - Type Inference for Python In Critical Accuracy Level.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

A Static Analysis Platform for Investigating Security Trends in Repositories.
Proceedings of the 1st IEEE/ACM International Workshop on Software Vulnerability, 2023

2022
Semantic knowledge integration for learning from semantically imprecise data.
PhD thesis, 2022

Self-supervised Learning from Semantically Imprecise Data.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Generalizability of Code Clone Detection on CodeBERT.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
ROMEO: Exploring Juliet through the Lens of Assembly Language.
CoRR, 2021

Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance.
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.
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.
Künstliche Intell., 2020

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Active Learning for Deep Object Detection.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks.
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.
Proceedings of the Pattern Recognition, 2019

Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Not just a matter of semantics: the relationship between visual similarity and semantic similarity.
CoRR, 2018

2017
Towards Automated Visual Monitoring of Individual Gorillas in the Wild.
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.
CoRR, 2016

2015
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding.
Proceedings of the VISAPP 2015, 2015


  Loading...