Thilo Stadelmann
Orcid: 0000-0002-3784-0420Affiliations:
- Zurich University of Applied Sciences, Switzerland
According to our database1,
Thilo Stadelmann
authored at least 59 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Trans. Int. Soc. Music. Inf. Retr., January, 2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.
IEEE Access, 2024
2023
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation.
CoRR, 2023
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features.
CoRR, 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.
CoRR, 2023
From Concept to Implementation: The Data-Centric Development Process for AI in Industry.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
2022
Unsupervised Domain Adaptation for Vertebrae Detection and Identification in 3D CT Volumes Using a Domain Sanity Loss.
J. Imaging, 2022
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis.
CoRR, 2022
AI Ethics, 2022
IEEE Access, 2022
2021
A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications.
Proceedings of the 8th Swiss Conference on Data Science, 2021
XGBoost Trained on Synthetic Data to Extract Material Parameters of Organic Semiconductors.
Proceedings of the 8th Swiss Conference on Data Science, 2021
2020
Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling.
Proceedings of the 7th Swiss Conference on Data Science, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020
2019
Proceedings of the 6th Swiss Conference on Data Science, 2019
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
Unsupervised Learning and Simulation for Complexity Management in Business Operations.
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
2018
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2015
2014
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010
2009
A scalable service-oriented architecture for multimedia analysis, synthesis and consumption.
Int. J. Web Grid Serv., 2009
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009
Proceedings of the 17th International Conference on Multimedia 2009, 2009
Proceedings of the iiWAS'2009, 2009
The Web Service Browser: Automatic Client Generation and Efficient Data Transfer for Web Services.
Proceedings of the IEEE International Conference on Web Services, 2009
Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse.
Proceedings of the Gemeinschaften in Neuen Medien (GeNeMe) 2009, Dresden, 2009
2008
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008
2007
University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction.
Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007
2006
University of Marburg at TRECVID 2006: Shot Boundary Detection and Rushes Task Results.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006
Fast and Robust Speaker Clustering Using the Earth Mover'S Distance and Mixmax Models.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
University of Marburg at TRECVID 2005: Shot Boundary Detection and Camera Motion Estimation Results.
Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005