Oliver Dürr
Oliver Dürr
Professor of Data Science, Konstanz University of Applied Sciences
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Zitiert von
Zitiert von
Speaker Identification and Clustering using Convolution Neural Networks
Y Lukic, C Vogt, O Dürr, T Stadelmann
IEEE International workshop on Machine Learning for Signal Processing, 2016
Probabilistic deep learning: With python, keras and tensorflow probability
O Dürr, B Sick, E Murina
Manning Publications, 2020
Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks
O Dürr, B Sick
Journal of biomolecular screening 21 (9), 998-1003, 2016
Percolation concepts in solid state ionics
W Dieterich, O Dürr, P Pendzig, A Bunde, A Nitzan
Physica A: Statistical Mechanics and its Applications 266 (1-4), 229-237, 1999
Integrating uncertainty in deep neural networks for MRI based stroke analysis
L Herzog, E Murina, O Dürr, S Wegener, B Sick
Medical image analysis 65, 101790, 2020
Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay
O Dürr, F Duval, A Nichols, P Lang, A Brodte, S Heyse, D Besson
SLAS Discovery 12 (8), 1042-1049, 2007
Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks
J Rohrbach, T Reinhard, B Sick, O Dürr
Computers & Electrical Engineering 78, 472-481, 2019
Potential and Limitations of Commercial Sentiment Detection Tools.
M Cieliebak, O Dürr, F Uzdilli
ESSEM@ AI* IA, 47-58, 2013
Effective medium theory of conduction in stretched polymer electrolytes
O Dürr, W Dieterich, P Maass, A Nitzan
The Journal of Physical Chemistry B 106 (24), 6149-6155, 2002
Deep and interpretable regression models for ordinal outcomes
L Kook, L Herzog, T Hothorn, O Dürr, B Sick
Pattern Recognition 122, 108263, 2022
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
Dynamic percolation theory for particle diffusion in a polymer network
O Dürr, T Volz, W Dieterich, A Nitzan
The Journal of chemical physics 117 (1), 441-447, 2002
Coupled ion and network dynamics in polymer electrolytes: Monte Carlo study of a lattice model
O Dürr, W Dieterich, A Nitzan
The Journal of chemical physics 121 (24), 12732-12739, 2004
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
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
Deep transformation models: Tackling complex regression problems with neural network based transformation models
B Sick, T Hathorn, O Dürr
2020 25th International Conference on Pattern Recognition (ICPR), 2476-2481, 2021
Know when you don't know: a robust deep learning approach in the presence of unknown phenotypes
O Dürr, E Murina, D Siegismund, V Tolkachev, S Steigele, B Sick
Assay and drug development technologies 16 (6), 343-349, 2018
Single shot mc dropout approximation
K Brach, B Sick, O Dürr
arXiv preprint arXiv:2007.03293, 2020
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
Deep Learning on a Raspberry Pi for Real Time Face Recognition.
O Dürr, Y Pauchard, D Browarnik, R Axthelm, M Loeser
Eurographics (Posters), 11-12, 2015
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