Thilo Stadelmann
Thilo Stadelmann
Professor of AI/ML, ZHAW
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Speaker identification and clustering using convolutional neural networks
Y Lukic, C Vogt, O Dürr, T Stadelmann
2016 IEEE 26th international workshop on machine learning for signal …, 2016
Automated machine learning in practice: state of the art and recent results
L Tuggener, M Amirian, K Rombach, S Lörwald, A Varlet, C Westermann, ...
2019 6th Swiss Conference on Data Science (SDS), 31-36, 2019
Deep watershed detector for music object recognition
L Tuggener, I Elezi, J Schmidhuber, T Stadelmann
arXiv preprint arXiv:1805.10548, 2018
Fully convolutional neural networks for newspaper article segmentation
B Meier, T Stadelmann, J Stampfli, M Arnold, M Cieliebak
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
DeepScores - a dataset for segmentation, detection and classification of tiny objects
L Tuggener, I Elezi, J Schmidhuber, M Pelillo, T Stadelmann
2018 24th International Conference on Pattern Recognition (ICPR), 3704-3709, 2018
Deep learning in the wild
T Stadelmann, M Amirian, I Arabaci, M Arnold, GF Duivesteijn, I Elezi, ...
Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018
A scalable service-oriented architecture for multimedia analysis, synthesis and consumption
S Heinzl, D Seiler, E Juhnke, T Stadelmann, R Ewerth, M Grauer, ...
International Journal of Web and Grid Services 5 (3), 219-260, 2009
Fast and robust speaker clustering using the earth mover's distance and Mixmax models
T Stadelmann, B Freisleben
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
Applied Data Science
M Braschler, T Stadelmann, K Stockinger
Springer International Publishing, 2019
Data Science für Lehre, Forschung und Praxis
K Stockinger, T Stadelmann
HMD Praxis der Wirtschaftsinformatik 51 (4), 469-479, 2014
University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction.
M Mühling, R Ewerth, T Stadelmann, C Zöfel, B Shi, B Freisleben
Applied data science in Europe: Challenges for academia in keeping up with a highly demanded topic
T Stadelmann, K Stockinger, M Braschler, M Cieliebak, G Baudinot, ...
9th European Computer Science Summit, Amsterdam, Niederlande, 8-9 October 2013, 2013
Learning neural models for end-to-end clustering
BB Meier, I Elezi, M Amirian, O Dürr, T Stadelmann
Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018
Videana: a software toolkit for scientific film studies
R Ewerth, M Mühling, T Stadelmann, J Gllavata, M Grauer, B Freisleben
transcript, 2009
Data Scientist als Beruf
K Stockinger, T Stadelmann, A Ruckstuhl
Big Data: Grundlagen, Systeme und Nutzungspotenziale, 59-81, 2016
Learning embeddings for speaker clustering based on voice equality
YX Lukic, C Vogt, O Dürr, T Stadelmann
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
Unfolding speaker clustering potential: a biomimetic approach
T Stadelmann, B Freisleben
Proceedings of the 17th ACM international conference on Multimedia, 185-194, 2009
Is it enough to optimize cnn architectures on imagenet?
L Tuggener, J Schmidhuber, T Stadelmann
Frontiers Media SA, 2022
Beyond ImageNet: deep learning in industrial practice
T Stadelmann, V Tolkachev, B Sick, J Stampfli, O Dürr
Applied data science: lessons learned for the data-driven business, 205-232, 2019
Trace and detect adversarial attacks on CNNs using feature response maps
M Amirian, F Schwenker, T Stadelmann
Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018
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