Scientific Publications
2025
T.
Haselhoff,
M. D.
Jedrusiak,
F.
Weichert and
S.
Moebus,
"Introducing NORBAERT - an open source software to facilitate the research on complex networks from the acoustic environment",
2025.
2024
M.
Jedrusiak,
T.
Harweg,
T.
Haselhoff,
B. T.
Lawrence,
S.
Moebus and
F.
Weichert,
"Towards an interdisciplinary formalization of soundscapes"
,
Journal of the Acoustical Society of America,
vol. 155,
no. 4,
2024.
F. A.
Dreger,
S.
Kuhlmann,
F.
Weichert and
G.
Rinkenauer,
"4-DOF Robotic Arm Simulator for Machine Operator Training and Performance Evaluation: Engineering Design and Experimental Validation"
,
International Conference on Applied Human Factors and Ergonomics,
2024.
2023
T.
Harweg,
M.
Wagner and
F.
Weichert,
"Agent-Based Simulation for Infectious Disease Modelling over a Period of Multiple Days, with Application to an Airport Scenario"
,
International Journal of Environmental Research and Public Health,
vol. 20,
no. 1,
2023.
 Link |
T.
Ambrosat,
F.
Gierschner,
A.
Hundrup,
T.
Harweg,
F.
Weichert,
D.
Ungermann and
W.
Flügge,
"Automatisierte Inspektion von stahlbaulichen Strukturen mittels Drohne im Innenbereich"
,
zfv,
vol. 5,
2023.
 10.12902/zfv-0441-2023 |
K.
Wüstefeld,
R.
Ebbinghaus and
F.
Weichert,
"Learning to Segment Blob-like Objects by Image-Level Counting"
,
Applied Sciences,
vol. 13,
no. 22,
2023.
 File | 10.3390/app132212219 |
D.
Matuszczyk and
F.
Weichert,
"Reading Direct-Part Marking Data Matrix Code in the Context of Polymer-Based Additive Manufacturing"
,
Sensors,
vol. 23,
no. 3,
2023.
| File | 10.3390/s23031619 |
N.
Piatkowski,
K.
Morik,
N.
Kriege,
C.
Morris,
M.
Fey,
F.
Weichert,
N.
Bertram,
J.
Ellert,
J.
Fischer and
L.
Pfahler,
"Structured Data"
in Machine Learning under Resource Constraints - Fundamentals,
De Gruyter,
2023,
pp. 99--178.
| doi:10.1515/9783110785944-004 |
N.
Sharar,
K.
Wüstefeld,
R. M.
Talukder,
J.
Skolnik,
K.
Kaufmann,
B.
Giebel,
F.
Börger,
C.
Watzl,
F.
Weichert,
R.
Hergenröder and
V.
Shpacovitch,
"The employment of the surface plasmon resonance (SPR) microscopy sensor for the detection of individual extracellular vesicles and non-biological nanoparticles"
,
Biosensors,
vol. 13,
no. 4,
2023.
R.
Hergenröder,
F.
Weichert,
K.
Wüstefeld and
V.
Shpacovitch,
"Virus Detection"
in Machine Learning under Resource Constraints - Applications,
De Gruyter,
2023,
pp. 21--42.
| doi:10.1515/9783110785982-010 |
H.
Müller and
F.
Weichert,
Vorkurs Informatik - Der Einstieg ins Informatikstudium (2023).
....
6
Springer Vieweg,
2023.
| Link |
2022
N.
Tschorn,
D.
Matuszczyk and
F.
Weichert,
"Deep Learning based Synthetic Image Generation for Defect Detection in Additive Manufacturing Industrial Environments"
,
International Conference on Mechanical Engineering and Robotics Research,
2022.
C.
Rest,
D.
Fisseler,
F.
Weichert and
G. G. W.
Müller,
"Illumination-based augmentation for cuneiform deep neural sign classification"
,
Journal on Computing and Cultural Heritage (accepted for publication),
2022.
| Link |
J.
Lins,
T.
Harweg,
F.
Weichert and
K.
Wohlgemuth,
"Potential of deep learning methods for deep level particle characterization in crystallization"
,
Applied Sciences (accepted for publication),
2022.
2021
M.
Fey,
J. E.
Lenssen,
F.
Weichert and
J.
Leskovec,
"GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings"
,
International Conference on Machine Learning (ICML),
2021.
| Link |
T.
Harweg,
D.
Bachmann and
F.
Weichert,
"Agent-based Simulation of Pedestrian Dynamics for Exposure Time Estimationin Epidemic Risk Assessment"
,
Journal of Public Health,
2021.
| Link | https://doi.org/10.1007/s10389-021-01489-y |
A.
Roth,
K.
Wüstefeld and
F.
Weichert,
"A Data-Centric Augmentation Approach for Disturbed Sensor Image Segmentation"
,
Journal of Imaging,
vol. 7 (10),
2021.
| PDF | https://doi.org/10.3390/jimaging7100206 |
2020
M. D.
Jedrusiak and
F.
Weichert,
"A Deep Learning Approach for Denoising Air-Coupled Ultrasonic Responds Data"
,
International Journal of Artificial Intelligence and Applications (IJAIA),
vol. 11,
no. 4,
pp. 15-28,
2020.
 PDF | Link |
M.
Kleineberg,
M.
Fey and
F.
Weichert,
"Adversarial Generation of Continuous Implicit Shape Representations"
in Eurographics,
2020.
| PDF | Link |
K.
Wüstefeld and
F.
Weichert,
"An Automated Rapid Test for Viral Nanoparticles Based on Spatiotemporal Deep Learning"
,
IEEE Sensors,
pp. 1-4,
2020.
| PDF | Link | 10.1109/SENSORS47125.2020.9278935 |
T.
Harweg,
A.
Peter,
D.
Bachmann and
F.
Weichert,
CNN-Based Deep Architecture for Health Monitoring of Civil and Industrial Structures using UAVs:
6th International Electronic Conference on Sensors and Applications.
| PDF | https://doi.org/10.3390/ecsa-6-06640 |
J. E.
Lenssen,
C.
Osendorfer and
J.
Masci,
"Deep Iterative Surface Normal Estimation"
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2020.
| PDF | Link |
R.
Chabra,
J. E.
Lenssen,
E.
Ilg,
T.
Schmidt,
J.
Straub,
S.
Lovegrove and
R.
Newcombe,
"Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction"
in European Conference on Computer Vision (ECCV),
2020.
| Link |
M.
Fey,
J.
Yuen and
F.
Weichert,
"Hierarchical Inter-Message Passing for Learning on Molecular Graphs"
in ICML Graph Representation Learning and Beyond (GRL+),
2020.
| PDF | Link |