Publications

2023

A Static Analysis Platform for Investigating Security Trends in Repositories
SVM
Tim Sonnekalb and Christopher-Tobias Knaust and Bernd Gruner and Clemens-Alexander Brust and Lynn von Kurnatowski and Andreas Schreiber and Thomas S. Heinze and Patrick Mäder

TIPICAL - Type Inference for Python In Critical Accuracy Level
SERA
Jonathan Elkobi and Bernd Gruner and Clemens-Alexander Brust

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
MSR | pdf
Bernd Gruner and Tim Sonnekalb and Thomas S. Heinze and Clemens-Alexander Brust

Untersuchung der Domänenabhängigkeit tiefer Lernverfahren für die Typinferenz in Python
KPS | pdf
Bernd Gruner and Tim Sonnekalb and Thomas S. Heinze and Clemens-Alexander Brust

ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language
Computers & Security (COSE) | pdf
Clemens-Alexander Brust and Tim Sonnekalb and Bernd Gruner

Towards Enabling Level 3A AI in Avionic Platforms
AvioSE | pdf
Wanja Zaeske and Clemens-Alexander Brust and Andreas Lund and Umut Durak

2022

Self-Supervised Learning from Semantically Imprecise Data
VISAPP | pdf
Clemens-Alexander Brust and Björn Barz and Joachim Denzler

Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research
Mamm. Biol.
Paul Bodesheim and Jan Blunk and Matthias Körschens and Clemens-Alexander Brust and Christoph Käding and Joachim Denzler

Generalizability of Code Clone Detection on CodeBERT
ASE | pdf
Tim Sonnekalb and Bernd Gruner and Clemens-Alexander Brust and Patrick Mäder

2021

Investigating the Consistency of Uncertainty Sampling in Deep Active Learning
GCPR
Niklas Penzel and Christian Reimers and Clemens-Alexander Brust and Joachim Denzler

Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance
CS4BIODIVERSITY | pdf
Clemens-Alexander Brust and Björn Barz and Joachim Denzler

2020

Active and Incremental Learning with Weak Supervision
Künstliche Intelligenz (KI) | pdf
Clemens-Alexander Brust and Joachim Denzler

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
ICPR | pdf
Clemens-Alexander Brust and Björn Barz and Joachim Denzler

2019

Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers
ACPR | pdf
Clemens-Alexander Brust and Joachim Denzler

Registration of High Resolution SAR and Optical Satellite Imagery Using Fully Convolutional Networks
IGARSS
Stefan Hoffmann and Clemens-Alexander Brust and Maha Shadaydeh and Joachim Denzler

Active Learning for Deep Object Detection
VISAPP | pdf
Clemens-Alexander Brust and Christoph Käding and Joachim Denzler

2018

Keeping the Human in the Loop: Towards Automatic Visual Monitoring in Biodiversity Research
ICEI
Joachim Denzler and Christoph Käding and Clemens-Alexander Brust

Dataless Black-Box Model Comparison
ICPRAI (ICPRAI)
Christoph Theiß and Clemens-Alexander Brust and Joachim Denzler

2017

Towards Automated Visual Monitoring of Individual Gorillas in the Wild
ICCV-WS | pdf
Clemens-Alexander Brust and Tilo Burghardt and Milou Groenenberg and Christoph Käding and Hjalmar Kühl and Marie L. Manguette and Joachim Denzler

You Have To Look More Than Once: Active and Continuous Exploration using YOLO
CVPR-WS
Clemens-Alexander Brust and Christoph Käding and Joachim Denzler

2016

Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks
arXiv | pdf
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler

2015

Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding
VISAPP | pdf
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler

Efficient Convolutional Patch Networks for Scene Understanding
CVPR-WS | pdf
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler