@conference {707,
	title = {Interpretable Neural Causal Models with TRAM-DAGs},
	booktitle = {Proceedings of the Fourth Conference on Causal Learning and Reasoning},
	year = {2025},
	month = {07{\textendash}09 May},
	pages = {606{\textendash}630},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {The ultimate goal of most scientific studies is to understand the underlying causal mechanism between the involved variables. Structural causal models (SCMs) are widely used to represent such causal mechanisms. Given an SCM, causal queries on all three levels of Pearl{\textquoteright}s causal hierarchy can be answered: $\mathcalL_1$ observational, $\mathcalL_2$ interventional, and $\mathcalL_3$ counterfactual. An essential aspect of modeling the SCM is to model the dependency of each variable on its causal parents. Traditionally this is done by parametric statistical models, such as linear or logistic regression models. This allows to handle all kinds of data types and fit interpretable models but bears the risk of introducing a bias due to the assumed rigid functional form. More recently neural causal models came up using neural networks (NNs) to model the causal relationships, allowing the estimation of nearly any underlying functional form without bias. However, current neural causal models are generally restricted to continuous variables and do not yield an interpretable form of the causal relationships. Transformation models range from simple statistical regressions to complex networks and can handle continuous, ordinal, and binary data. Here, we propose to use TRAMs to model the functional relationships in SCMs allowing us to bridge the gap between interpretability and flexibility in causal modeling. We call this method TRAM-DAG and assume currently that the underlying directed acyclic graph (DAG) is known. For the fully observed case, we benchmark TRAM-DAGs against state-of-the-art statistical and NN-based causal models. We show that TRAM-DAGs are interpretable but also achieve equal or superior performance in queries ranging from $\mathcalL_1$ to $\mathcalL_3$ in the causal hierarchy. For the continuous case, TRAM-DAGs allow for counterfactual queries for three common causal structures, including unobserved confounding.},
	url = {https://proceedings.mlr.press/v275/sick25a.html},
	author = {Sick, Beate and D{\"u}rr, Oliver},
	editor = {Huang, Biwei and Drton, Mathias}
}
@conference {694,
	title = {Paths and Ambient Spaces in Neural Loss Landscapes},
	booktitle = {Proceedings of The 28th International Conference on Artificial Intelligence and Statistics},
	year = {2025},
	month = {03{\textendash}05 May},
	pages = {10{\textendash}18},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {Understanding the structure of neural network loss surfaces, particularly the emergence of low-loss tunnels, is critical for advancing neural network theory and practice. In this paper, we propose a novel approach to directly embed loss tunnels into the loss landscape of neural networks. Exploring the properties of these loss tunnels offers new insights into their length and structure and sheds light on some common misconceptions. We then apply our approach to Bayesian neural networks, where we improve subspace inference by identifying pitfalls and proposing a more natural prior that better guides the sampling procedure.},
	url = {https://proceedings.mlr.press/v258/dold25a.html},
	author = {Dold, Daniel and Kobialka, Julius and Palm, Nicolai and Sommer, Emanuel and R{\"u}gamer, David and D{\"u}rr, Oliver},
	editor = {Li, Yingzhen and Mandt, Stephan and Agrawal, Shipra and Khan, Emtiyaz}
}
@conference {691,
	title = {Solgenia{\textemdash}A test vessel toward energy-efficient autonomous water taxi applications},
	booktitle = {Ocean Engineering},
	year = {2025},
	doi = {https://doi.org/10.1016/j.oceaneng.2025.121011},
	url = {https://www.sciencedirect.com/science/article/pii/S0029801825007243},
	author = {Hannes Homburger and Stefan Wirtensohn and Patrick Hoher and Tim Baur and Dennis Griesser and Moritz Diehl and Johannes Reuter}
}
@conference {693,
	title = {Bayesian Semi-structured Subspace Inference},
	booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
	year = {2024},
	month = {02{\textendash}04 May},
	pages = {1819{\textendash}1827},
	publisher = {PMLR},
	organization = {PMLR},
	abstract = {Semi-structured regression models enable the joint modeling of interpretable structured and complex unstructured feature effects. The structured model part is inspired by statistical models and can be used to infer the input-output relationship for features of particular importance. The complex unstructured part defines an arbitrary deep neural network and thereby provides enough flexibility to achieve competitive prediction performance. While these models can also account for aleatoric uncertainty, there is still a lack of work on accounting for epistemic uncertainty. In this paper, we address this problem by presenting a Bayesian approximation for semi-structured regression models using subspace inference. To this end, we extend subspace inference for joint posterior sampling from a full parameter space for structured effects and a subspace for unstructured effects. Apart from this hybrid sampling scheme, our method allows for tunable complexity of the subspace and can capture multiple minima in the loss landscape. Numerical experiments validate our approach{\textquoteright}s efficacy in recovering structured effect parameter posteriors in semi-structured models and approaching the full-space posterior distribution of MCMC for increasing subspace dimension. Further, our approach exhibits competitive predictive performance across simulated and real-world datasets.},
	url = {https://proceedings.mlr.press/v238/dold24a.html},
	author = {Dold, Daniel and Ruegamer, David and Sick, Beate and D{\"u}rr, Oliver},
	editor = {Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen}
}
@article {704,
	title = {Bernstein flows for flexible posteriors in variational Bayes},
	journal = {AStA Advances in Statistical Analysis},
	volume = {108},
	year = {2024},
	pages = {375{\textendash}394},
	issn = {1863-818X},
	doi = {10.1007/s10182-024-00497-z},
	url = {http://dx.doi.org/10.1007/s10182-024-00497-z},
	author = {D{\"u}rr, Oliver and H{\"o}rtling, Stefan and Dold, Danil and Kovylov, Ivonne and Sick, Beate}
}
@article {706,
	title = {Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo},
	journal = {Journal of Statistical Software},
	volume = {111},
	year = {2024},
	issn = {1548-7660},
	doi = {10.18637/jss.v111.i10},
	url = {http://dx.doi.org/10.18637/jss.v111.i10},
	author = {Kook, Lucas and Baumann, Philipp F. M. and D{\"u}rr, Oliver and Sick, Beate and R{\"u}gamer, David}
}
@article {679,
	title = {Bayesian Calibration of MEMS Accelerometers},
	journal = {IEEE Sensors Journal},
	year = {2023},
	author = {D{\"u}rr, Oliver and Fan, Po-Yu and Yin, Zong-Xian}
}
@article {672,
	title = {Deep probabilistic modelling for energy forecasting},
	year = {2023},
	author = {Daniel Dold and Marcel Arpogaus and Oliver D{\"u}rr}
}
@article {680,
	title = {Deep transformation models for functional outcome prediction after acute ischemic stroke},
	journal = {Biometrical Journal},
	volume = {65},
	year = {2023},
	pages = {2100379},
	author = {Herzog, Lisa and Kook, Lucas and G{\"o}tschi, Andrea and Petermann, Katrin and H{\"a}nsel, Martin and Hamann, Janne and D{\"u}rr, Oliver and Wegener, Susanne and Sick, Beate}
}
@conference {675,
	title = {Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model},
	booktitle = { International Conference on Information Fusion (FUSION)},
	year = {2023},
	pages = {1-8},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Charleston, SC, USA},
	doi = {10.23919/FUSION52260.2023.10224159},
	author = {Patrick Hoher and Johannes Reuter and Daniel Dold and Dennis Griesser and Felix Govaers and Wolfgang Koch}
}
@article {682,
	title = {Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays},
	journal = {Global Spine Journal},
	year = {2023},
	pages = {21925682231154543},
	author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@article {705,
	title = {Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays},
	journal = {Global Spine Journal},
	volume = {14},
	year = {2023},
	pages = {1728{\textendash}1737},
	issn = {2192-5690},
	doi = {10.1177/21925682231154543},
	url = {http://dx.doi.org/10.1177/21925682231154543},
	author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@article {681,
	title = {Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows},
	journal = {IEEE Transactions on Smart Grid},
	year = {2023},
	author = {Arpogaus, Marcel and Voss, Marcus and Sick, Beate and Nigge-Uricher, Mark and D{\"u}rr, Oliver}
}
@booklet {703,
	title = {Single-shot Bayesian approximation for neural networks},
	year = {2023},
	url = {https://arxiv.org/abs/2308.12785},
	author = {Kai Brach and Beate Sick and Oliver D{\"u}rr}
}
@article {683,
	title = {140. Automated measurement technique for coronal parameters using a novel artificial intelligence algorithm: an independent validation study on 100 preoperative AP spine X-rays},
	journal = {The Spine Journal},
	volume = {22},
	year = {2022},
	pages = {S74},
	author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and D{\"u}rr, Oliver and Obid, Peter}
}
@article {684,
	title = {Deep and interpretable regression models for ordinal outcomes},
	journal = {Pattern Recognition},
	volume = {122},
	year = {2022},
	pages = {108263},
	author = {Kook, Lucas and Herzog, Lisa and Hothorn, Torsten and D{\"u}rr, Oliver and Sick, Beate}
}
@conference {668,
	title = {DeepDoubt - Improving uncertainty measures in machine learning to improve explainability and transparency},
	booktitle = {2022 All-Hands-Meeting of the BMBF-funded AI Research Projects at Munich Center for Machine Learning},
	year = {2022},
	author = {Matthias Hermann and Daniel Dold and Georg Umlauf and Oliver D{\"u}rr}
}
@article {708,
	title = {Design and Calibration of Plane Mirror Setups for Mobile Robots with a 2D-Lidar},
	journal = {Sensors},
	volume = {22},
	year = {2022},
	pages = {7830},
	issn = {1424-8220},
	doi = {10.3390/s22207830},
	url = {http://dx.doi.org/10.3390/s22207830},
	author = {Kibii, James E. and Dreher, Andreas and Wormser, Paul L. and Gimpel, Hartmut}
}
@conference {665,
	title = {Targetless Lidar-camera registration using patch-wise mutual information},
	booktitle = {International Conference on Information Fusion},
	year = {2022},
	author = {Matthias Hermann and Dennis Griesser and Bernhard Gundel and Daniel Dold and Georg Umlauf and Matthias O. Franz}
}
@article {685,
	title = {Validation study of an algorithm based on artificial intelligence for automated computation of coronal parameters on preoperative AP X-rays},
	journal = {Brain and Spine},
	volume = {2},
	year = {2022},
	pages = {101156},
	author = {Adomeit, Sonja and Berlin, Clara and Grover, Priyanka and Dreischarf, Marcel and Halm, Henry and D{\"u}rr, Oliver and Obid, Peter}
}
@conference {642,
	title = {Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations},
	booktitle = {2021 International Conference on Data Mining Workshops (ICDMW)},
	year = {2021},
	month = {07/2021},
	pages = {398-404},
	author = {Philipp Scharpf and Chi Lap Hong and Oliver Duerr}
}
@conference {686,
	title = {Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations},
	booktitle = {2021 International Conference on Data Mining Workshops (ICDMW)},
	year = {2021},
	pages = {398{\textendash}404},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Scharpf, Philipp and Hong, Chi Lap and D{\"u}rr, Oliver}
}
@conference {624,
	title = {Deep transformation models: Tackling complex regression problems with neural network based transformation models},
	booktitle = {Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021},
	year = {2021},
	author = {Sick, Beate and Hothorn, Torsten and D{\"u}rr, Oliver}
}
@conference {687,
	title = {Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows},
	booktitle = {ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual},
	year = {2021},
	author = {Arpogaus, Marcel and Vo{\ss}, Marcus and Sick, Beate and Nigge-Uricher, Mark and D{\"u}rr, Oliver}
}
@conference {640,
	title = {Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows},
	booktitle = {ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual},
	year = {2021},
	author = {Marcel Arpogaus and Marcus Vo{\ss} and Beate Sick and Mark Nigge-Uricher and Oliver D{\"u}rr}
}
@article {641,
	title = {Transformation models for flexible posteriors in variational bayes},
	journal = {arXiv preprint},
	year = {2021},
	pages = {2106.00528},
	author = {Sefan H{\"o}rtling and Daniel Dold and Oliver D{\"u}rr and Beate Sick}
}
@proceedings {627,
	title = {CNN-Based Monocular 3D Ship Detection Using Inverse Perspective},
	year = {2020},
	author = {Dennis Griesser and Daniel Dold and Georg Umlauf and Matthias O. Franz}
}
@article {639,
	title = {Deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv preprint},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@article {625,
	title = {Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data},
	journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
	volume = {168},
	year = {2020},
	pages = {156 - 169},
	keywords = {Convolutional networks, Deep learning, Forest establishment, Object detection, Tree seedlings, Unmanned aerial vehicles},
	issn = {0924-2716},
	doi = {https://doi.org/10.1016/j.isprsjprs.2020.08.005},
	url = {http://www.sciencedirect.com/science/article/pii/S0924271620302136},
	author = {Grant D. Pearse and Alan Y.S. Tan and Michael S. Watt and Matthias O. Franz and Jonathan P. Dash}
}
@article {623,
	title = {Integrating uncertainty in deep neural networks for MRI based stroke analysis},
	journal = {Medical Image Analysis},
	volume = {65},
	year = {2020},
	pages = {101790},
	author = {Herzog, Lisa and Murina, Elvis and D{\"u}rr, Oliver and Wegener, Susanne and Sick, Beate}
}
@article {638,
	title = {Ordinal neural network transformation models: deep and interpretable regression models for ordinal outcomes},
	journal = {arXiv e-prints},
	year = {2020},
	pages = {2010.08376},
	author = {Lucas Kook and Lisa Herzog and Torsten Hothorn and Oliver D{\"u}rr and Beate Sick}
}
@book {621,
	title = {Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability},
	year = {2020},
	publisher = {Manning Publications},
	organization = {Manning Publications},
	isbn = {9781617296079},
	url = {https://www.manning.com/books/probabilistic-deep-learning},
	author = {Oliver D{\"u}rr and Beate Sick and Elvis Murina}
}
@book {688,
	title = {Probabilistic deep learning: With python, keras and tensorflow probability},
	year = {2020},
	publisher = {Manning Publications},
	organization = {Manning Publications},
	author = {D{\"u}rr, Oliver and Sick, Beate and Murina, Elvis}
}
@conference {622,
	title = {Single Shot MC Dropout Approximation},
	booktitle = {ICML Workshop on Uncertainty and Robustness in Deep Learning},
	year = {2020},
	author = {Brach, Kai and Beate Sick and Oliver D{\"u}rr}
}
@inbook {614,
	title = {Beyond ImageNet: Deep Learning in Industrial Practice},
	booktitle = {Applied Data Science},
	year = {2019},
	pages = {205-232},
	publisher = {Springer},
	organization = {Springer},
	isbn = {978-3-030-11820-4},
	issn = {978-3-030-11821-1},
	doi = {https://doi.org/10.1007/978-3-030-11821-1_12},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-030-11821-1_12},
	author = {Stadelmann, Thilo and Tolkachev, Vasily and Sick, Beate and D{\"u}rr, Oliver}
}
@article {613,
	title = {Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks},
	year = {2019},
	url = {https://www.journals.elsevier.com/computers-and-electrical-engineering},
	author = {Rohrbach, Janick and Rainhard, Tobias and Sick, Beate and D{\"u}rr, Oliver}
}
@conference {616,
	title = {Automatic classification of non-small cell lung cancer histologic sub-types by deep learning},
	booktitle = {VIRCHOWS ARCHIV},
	year = {2018},
	month = {09/18},
	pages = {108-108},
	publisher = {Springer},
	organization = {Springer},
	author = {Casanova, R and Murina, Elvis and Haberecker, M and Honcharova-Biletska, H and Vrugt, B and D{\"u}rr, Oliver and Sick, Beate and Soltermann, A}
}
@conference {stadelmann2018capturing,
	title = {Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering},
	booktitle = {IAPR Workshop on Artificial Neural Networks in Pattern Recognition},
	year = {2018},
	pages = {333{\textendash}345},
	publisher = {Springer},
	organization = {Springer},
	url = {https://www.springerprofessional.de/capturing-suprasegmental-features-of-a-voice-with-rnns-for-impro/16083698},
	author = {Stadelmann, Thilo and Glinski-Haefeli, Sebastian and Gerber, Patrick and D{\"u}rr, Oliver}
}
@article {593,
	title = {Developing deep learning applications for life science and pharma industry},
	journal = {Drug research},
	volume = {68},
	year = {2018},
	pages = {305{\textendash}310},
	doi = {https://doi.org/10.1055/s-0043-124761},
	url = {https://doi.org/10.1055/s-0043-124761},
	author = {Siegismund, Daniel and Tolkachev, Vasily and Heyse, Stephan and Sick, Beate and D{\"u}rr, Oliver and Steigele, Stephan}
}
@article {durr2018know,
	title = {Know When You Don{\textquoteright}t Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes},
	journal = {Assay and drug development technologies},
	volume = {16},
	number = {6},
	year = {2018},
	pages = {343{\textendash}349},
	publisher = {Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA},
	url = {https://www.liebertpub.com/doi/10.1089/adt.2018.859},
	author = {D{\"u}rr, Oliver and Murina, Elvis and Siegismund, Daniel and Tolkachev, Vasily and Steigele, Stephan and Sick, Beate}
}
@conference {meier2018learning,
	title = {Learning Neural Models for End-to-End Clustering},
	booktitle = {IAPR Workshop on Artificial Neural Networks in Pattern Recognition},
	year = {2018},
	pages = {126{\textendash}138},
	publisher = {Springer},
	organization = {Springer},
	doi = {https://doi.org/10.1007/978-3-319-99978-4_10},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-319-99978-4_10},
	author = {Meier, Benjamin Bruno and Elezi, Ismail and Amirian, Mohammadreza and D{\"u}rr, Oliver and Stadelmann, Thilo}
}
@book {637,
	title = {Learning to Cluster},
	year = {2018},
	author = {Benjamin Bruno Meier and Thilo Stadelmann and Oliver D{\"u}rr}
}
@conference {lukic2017learning,
	title = {Learning embeddings for speaker clustering based on voice equality},
	booktitle = {Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on},
	year = {2017},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Lukic, Yanick X and Vogt, Carlo and D{\"u}rr, Oliver and Stadelmann, Thilo}
}
@conference {666,
	title = {Analyzing environmental conditions and vital signs to increase healthy living},
	booktitle = {Mobile Networks for Biometric Data Analysis},
	year = {2016},
	author = {R Seepold and C Dermati and A Kostka and L Pfeil and R Lange and Hermann, Matthias and B Martinez}
}
@article {durr2016single,
	title = {Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks},
	journal = {Journal of biomolecular screening},
	volume = {21},
	number = {9},
	year = {2016},
	pages = {998{\textendash}1003},
	publisher = {SAGE Publications},
	doi = {https://doi.org/10.1177/1087057116631284},
	url = {https://doi.org/10.1177/1087057116631284},
	author = {D{\"u}rr, Oliver and Sick, Beate}
}
@conference {lukic2016speaker,
	title = {Speaker Identification and Clustering using Convolution Neural Networks},
	booktitle = {IEEE International workshop on Machine Learning for Signal Processing},
	year = {2016},
	author = {Lukic, Yanick and Vogt, Carlo and D{\"u}rr, Oliver and Stadelmann, Thilo}
}
@conference {durr2015deep,
	title = {Deep Learning on a Raspberry Pi for Real Time Face Recognition.},
	booktitle = {Eurographics (Posters)},
	year = {2015},
	pages = {11{\textendash}12},
	author = {D{\"u}rr, Oliver and Pauchard, Yves and Browarnik, Diego and Axthelm, Rebekka and Loeser, Martin}
}
@article {franzini2015gene,
	title = {Gene expression signatures predictive of bevacizumab/erlotinib therapeutic benefit in advanced non-squamous non-small cell lung cancer patients (SAKK 19/05 trial)},
	journal = {Clinical Cancer Research},
	year = {2015},
	pages = {clincanres{\textendash}{\textendash}3135},
	publisher = {American Association for Cancer Research},
	author = {Franzini, Anca and Baty, Florent and Macovei, Ina I and D{\"u}rr, Oliver and Droege, Cornelia and Betticher, Daniel and Grigoriu, Bogdan D and Klingbiel, Dirk and Zappa, Francesco and Brutsche, Martin}
}
@conference {485,
	title = {On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties},
	booktitle = {Curves and Surfaces, 8th International Conference, Paris 2014},
	year = {2015},
	pages = {181-201},
	publisher = {Springer},
	organization = {Springer},
	author = {Klaus Denker and Bernd Hamann and Georg Umlauf},
	editor = {Boissonnat, J-D and Cohen, A and Gibaru, O and Gout, C and Lyche, T and Mazure, M-L and Schumaker, L L}
}
@conference {486,
	title = {{Support Vector Machines for Classification of Geometric Primitives in Point Clouds}},
	booktitle = {Curves and Surfaces, 8th International Conference, Paris 2014},
	year = {2015},
	pages = {80-95},
	publisher = {Springer},
	organization = {Springer},
	author = {Manuel Caputo and Klaus Denker and M O Franz and Pascal Laube and Georg Umlauf},
	editor = {Boissonnat, J-D and Cohen, A and Gibaru, O and Gout, C and Lyche, T and Mazure, M-L and Schumaker, L L}
}
@proceedings {488,
	title = {A Virtual-Reality 3d-Laser-Scan Simulation},
	year = {2015},
	pages = {68},
	author = {Malvin Danhof and Tarek Schneider and Pascal Laube and Georg Umlauf}
}
@article {franzini2014silico,
	title = {In Silico Identification of Cell-type-specific Compartmental Gene Expression Signatures with Predictive Value for Response to Erlotinib/bevacizumab Therapy in Non-small Cell Lung Cancer (nsclc)},
	journal = {Respiration},
	volume = {87},
	number = {6},
	year = {2014},
	pages = {562},
	author = {Franzini, A and D{\"u}rr, O and Baty, F and Hosang, J and Brutsche, M H}
}
@conference {durr2014joint_forces,
	title = {JOINT{\_}FORCES: Unite Competing Sentiment Classifiers with Random Forest.},
	booktitle = {SemEval@ COLING},
	year = {2014},
	pages = {366{\textendash}369},
	author = {D{\"u}rr, Oliver and Uzdilli, Fatih and Cieliebak, Mark}
}
@conference {CaEa14,
	title = {Learning geometric primitives in point clouds},
	booktitle = {Symposium on Geometry Processing, Cardiff 2014},
	year = {2014},
	author = {Manuel Caputo and Klaus Denker and M O Franz and Pascal Laube and Georg Umlauf}
}
@conference {cieliebak2014meta,
	title = {Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools.},
	booktitle = {Language Resources and Evaluation Conference (LREC)},
	year = {2014},
	pages = {3100{\textendash}3104},
	author = {Cieliebak, Mark and D{\"u}rr, Oliver and Uzdilli, Fatih}
}
@article {franzini2014tumor,
	title = {Tumor-associated stromal gene expression signatures predict therapeutic response to erlotinib/bevacizumab in non-small cell lung cancer (NSCLC)},
	journal = {European Respiratory Journal},
	volume = {44},
	number = {Suppl 58},
	year = {2014},
	pages = {P821},
	publisher = {Eur Respiratory Soc},
	author = {Franzini, Anca and D{\"u}rr, Oliver and Baty, Florent and Brutsche, Martin}
}
@article {stadelmann2013applied,
	title = {Applied Data Science in Europe: Challenges for Academia in Keeping Up with a Highly Demanded Topic},
	journal = {European Computer Science Summit. Amsterdam, Netherlands},
	year = {2013},
	author = {Stadelmann, T and Stockinger, K and Braschler, M and Cieliebak, M and Baudinot, G and D{\"u}rr, O and Ruckstuhl, A}
}
@conference {Schuldt2013,
	title = {A compact high-performance frequency reference for space applications},
	booktitle = {{29th Intl. Symposium on Space Technology and Science (ISTS 2013), Nagoya (Japan)}},
	year = {2013},
	author = {Schuldt, T and D{\"o}ringshoff, K and St{\"u}hler, J and Kovalchuk, E and M O Franz and Gohlke, M and Weise, D and Johann, U and Peters, A and Braxmaier, C}
}
@conference {198,
	title = {On-line reconstruction of CAD geometry},
	booktitle = {International Conference on 3d Vision},
	year = {2013},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Klaus Denker and Daniel Hagel and Jakob Raible and Georg Umlauf and Bernd Hamann}
}
@conference {cieliebak2013potential,
	title = {Potential and Limitations of Commercial Sentiment Detection Tools.},
	booktitle = {ESSEM@ AI* IA},
	year = {2013},
	pages = {47{\textendash}58},
	publisher = {Citeseer},
	organization = {Citeseer},
	author = {Cieliebak, Mark and D{\"u}rr, Oliver and Uzdilli, Fatih}
}
@conference {192,
	title = {3d hand gesture recognition based on sensor fusion of commodity hardware},
	booktitle = {Mensch und Computer},
	year = {2012},
	publisher = {Oldenbourg Verlag},
	organization = {Oldenbourg Verlag},
	author = {Manuel Caputo and Klaus Denker and Benjamin Dums and Georg Umlauf},
	editor = {H.~Reiterer and O.~Deussen}
}
@conference {187,
	title = {A hand-held laser scanner based on multi-camera stereo-matching},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2012},
	author = {Christoph Bender and Klaus Denker and Markus Friedrich and Kai Hirt and Georg Umlauf}
}
@article {durr2012using,
	title = {Using Community Structure for Complex Network Layout},
	journal = {arXiv preprint arXiv:1207.6282},
	year = {2012},
	author = {D{\"u}rr, Oliver and Brandenburg, Arnd}
}
@article {200,
	title = {An accurate real-time multi-camera matching on the GPU for 3d reconstruction},
	journal = {Journal of WSCG},
	volume = {19},
	year = {2011},
	pages = {9-16},
	author = {Klaus Denker and Georg Umlauf}
}
@conference {Hensler2011,
	title = {Hybrid face recognition based on real-time multi-camera stereo-matching},
	booktitle = {Advances in Visual Computing, Proc. ISVC 2011, LNCS},
	year = {2011},
	pages = {158{\textendash}167},
	publisher = {Springer},
	organization = {Springer},
	address = {Heidelberg},
	author = {Hensler, J and Klaus Denker and M O Franz and Georg Umlauf},
	editor = {Bebis et al., G.}
}
@article {199,
	title = {Real-time triangulation of point streams},
	journal = {Engineering with Computers},
	volume = {27},
	year = {2011},
	pages = {67-80},
	author = {Klaus Denker and Burkhard Lehner and Georg Umlauf}
}
@conference {201,
	title = {Survey on benchmarks for a GPU based multi camera stereo matching algorithm},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2011},
	author = {Klaus Denker and Georg Umlauf}
}
@conference {183,
	title = {Geometric properties of the adaptice Delaunay tessellation},
	booktitle = {Mathematical Methods of Curves and Surfaces, Tondsberg 2008},
	year = {2010},
	author = {Tom Bobach and Alexandru Constantiniu and Paul Steinmann and Georg Umlauf},
	editor = {D{\ae}hlen, M. and Floater, M.S. and Lyche, T. and Merrien, J.-L. and Morken, K. and Schumaker, L.L.}
}
@conference {Barbero2009,
	title = {Implicit {Wiener} series analysis of epileptic seizure recordings.},
	booktitle = {{Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}},
	year = {2009},
	pages = {5304{\textendash}5307},
	doi = {10.1109/IEMBS.2009.5333080},
	author = {Barbero, A and M O Franz and van Drongelen, W and Dorronsoro, J R and Sch{\"o}lkopf, B and Grosse-Wentrup, M}
}
@article {YovEa09a,
	title = {The voice of bats: how greater mouse-eared bats recognize individuals based on their echolocation calls},
	journal = {PLoS Comput. Biol.},
	volume = {5},
	number = {6},
	year = {2009},
	pages = {e1000400:10.1371/journal.pcbi.1000400},
	issn = {1553-7358},
	doi = {10.1371/journal.pcbi.1000400},
	author = {Y Yovel and M L Melc{\'o}n and M O Franz and A Denzinger and H.-U Schnitzler}
}
@conference {207,
	title = {Online triangulation of laser-scan data},
	booktitle = {Proceedings of the 17th International Meshing Roundtable 2008},
	year = {2008},
	author = {Klaus Denker and Burkhard Lehner and Georg Umlauf},
	editor = {R.~Garimella}
}
@conference {durr2007glassy,
	title = {Glassy and Polymeric Ionic Conductors: Statistical Modeling and Monte Carlo Simulations},
	booktitle = {Superionic Conductor Physics},
	volume = {1},
	year = {2007},
	pages = {77{\textendash}80},
	author = {D{\"u}rr, O and Dieterich, W}
}
@article {durr2007robust,
	title = {Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay},
	journal = {Journal of biomolecular screening},
	volume = {12},
	number = {8},
	year = {2007},
	pages = {1042{\textendash}1049},
	publisher = {Sage Publications Sage CA: Los Angeles, CA},
	author = {D{\"u}rr, Oliver and Duval, Fran{\c c}ois and Nichols, Anthony and Lang, Paul and Brodte, Annette and Heyse, Stephan and Besson, Dominique}
}
@inbook {702,
	title = {Stochastic modelling of ion diffusion in complex systems},
	booktitle = {Anomalous Diffusion From Basics to Applications},
	year = {2007},
	pages = {175{\textendash}185},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	isbn = {9783540654162},
	doi = {10.1007/bfb0106841},
	url = {http://dx.doi.org/10.1007/bfb0106841},
	author = {Dieterich, W. and D{\"u}rr, O. and Pendzig, P. and Nitzan, A.}
}
@conference {701,
	title = {Multivariate analysis of siRNA/high content screening data},
	year = {2006},
	author = {Duerr, Oliver and Heyse, Stephan}
}
@conference {189,
	title = {Natural neighbor interpolation and order of continuity},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2006},
	author = {Tom Bobach and Georg Umlauf},
	editor = {H.~Hagen and A.~Kerren and P.~Dannenmann}
}
@conference {211,
	title = {Topographic distance functions for interpolation of meteorological data},
	booktitle = {GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets},
	year = {2006},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann and Susan Ustin},
	editor = {H.~Hagen and A.~Kerren and P.~Dannenmann}
}
@article {heyse2005quantifying,
	title = {Quantifying bioactivity on a large scale: quality assurance and analysis of multiparametric ultra-HTS data},
	journal = {JALA: Journal of the Association for Laboratory Automation},
	volume = {10},
	number = {4},
	year = {2005},
	pages = {207{\textendash}212},
	publisher = {SAGE Publications Sage CA: Los Angeles, CA},
	author = {Heyse, Stephan and Brodte, Annette and Bruttger, Oliver and Duerr, Oliver and Freeman, Tobe and Jung, Tom and Lindemann, Michael and Ottl, Johannes and Rinn, Bernd}
}
@article {durr2004coupled,
	title = {Coupled ion and network dynamics in polymer electrolytes: Monte Carlo study of a lattice model},
	journal = {The Journal of chemical physics},
	volume = {121},
	number = {24},
	year = {2004},
	pages = {12732{\textendash}12739},
	publisher = {AIP},
	author = {D{\"u}rr, O and Dieterich, W and Nitzan, A}
}
@conference {Franz2004b,
	title = {Implicit estimation of {Wiener} series},
	booktitle = {{Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop}},
	year = {2004},
	pages = {735{\textendash}744},
	publisher = {IEEE},
	organization = {IEEE},
	address = {New York},
	author = {M O Franz and B Sch{\"o}lkopf},
	editor = {Barros, A and Principe, J C and Larsen, J and Adali, T and Douglas, S}
}
@conference {Ilg2003,
	title = {Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning},
	booktitle = {{Proc. of the 11th International Conference on Advanced Robotics}},
	volume = {2},
	year = {2003},
	pages = {453{\textendash}458},
	publisher = {University of Coimbra},
	organization = {University of Coimbra},
	address = {Coimbra},
	author = {Ilg, W and Bak{\i}r, G H and M O Franz and Giese, M A},
	editor = {Nunes, U and de Almeida, A and Bejczy, A and Kosuge, K and Machado, J}
}
@mastersthesis {durr2003theoretical,
	title = {Theoretical Studies of Relaxation and Ionic Transport in Polymers},
	number = {January 2003},
	year = {2003},
	type = {phd},
	isbn = {3898255859},
	url = {http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-10270},
	author = {D{\"u}rr, Oliver}
}
@article {durr2002diffusion,
	title = {Diffusion in polymer electrolytes and the dynamic percolation model},
	journal = {Solid state ionics},
	volume = {149},
	number = {1},
	year = {2002},
	pages = {125{\textendash}130},
	publisher = {Elsevier},
	author = {D{\"u}rr, O and Dieterich, W and Nitzan, A}
}
@article {durr2002dynamic,
	title = {Dynamic percolation theory for particle diffusion in a polymer network},
	journal = {The Journal of chemical physics},
	volume = {117},
	number = {1},
	year = {2002},
	pages = {441{\textendash}447},
	publisher = {AIP},
	author = {D{\"u}rr, O and Volz, T and Dieterich, W and Nitzan, A}
}
@article {durr2002effective,
	title = {Effective medium theory of conduction in stretched polymer electrolytes},
	journal = {arXiv preprint cond-mat/0202165},
	year = {2002},
	author = {D{\"u}rr, Oliver and Dieterich, Wolfgang and Maas, Philipp and Nitzan, Abraham}
}
@article {durr2001charge,
	title = {Charge Transport in Polymer Ion Conductors: a Monte Carlo Study},
	journal = {arXiv preprint cond-mat/0106197},
	year = {2001},
	author = {D{\"u}rr, O and Dieterich, W and Nitzan, A}
}
@inbook {DahFraKra01,
	title = {Extracting egomotion from optic flow: limits of accuracy and neural matched filters},
	booktitle = {{Motion Vision: Computational, Neural and Ecological Constraints}},
	year = {2001},
	pages = {143-168},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {Dahmen, H.-J and M O Franz and Krapp, H G},
	editor = {J M Zanker and J Zeil}
}
@article {oliver2001melt,
	title = {Melt viscosities of lattice polymers using a Kramers potential treatment},
	journal = {J. Chem. Phys.},
	volume = {115},
	year = {2001},
	pages = {9042{\textendash}9045},
	author = {Oliver, D{\"u}rr and Frisch, Harry and Dieterich, Wolfgang}
}
@article {durr2001model,
	title = {Model studies of diffusion in glassy and polymer ion conductors},
	journal = {arXiv preprint cond-mat/0106196},
	year = {2001},
	author = {D{\"u}rr, O and Pendzig, P and Dieterich, W and Nitzan, A}
}
@article {dieterich1999percolation,
	title = {Percolation concepts in solid state ionics},
	journal = {Physica A: Statistical Mechanics and its Applications},
	volume = {266},
	number = {1},
	year = {1999},
	pages = {229{\textendash}237},
	publisher = {Elsevier},
	author = {Dieterich, W and D{\"u}rr, O and Pendzig, P and Bunde, A and Nitzan, A}
}
@inbook {dieterich1999stochastic,
	title = {Stochastic modelling of ion diffusion in complex systems},
	booktitle = {Anomalous Diffusion From Basics to Applications},
	year = {1999},
	pages = {175{\textendash}185},
	publisher = {Springer, Berlin, Heidelberg},
	organization = {Springer, Berlin, Heidelberg},
	author = {Dieterich, W and D{\"u}rr, O and Pendzig, P and Nitzan, A}
}
@article {durr1998monte,
	title = {Monte-carlo-simulationen zu polymeren ionenleitern},
	year = {1998},
	author = {D{\"u}rr, Oliver}
}
@conference {Distleretal98,
	title = {Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape},
	booktitle = {{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}},
	year = {1998},
	pages = {124~{\textendash}~133},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {Distler, H K and H A H C van Veen and S J Braun and W Heinz and M O Franz and H H B{\"u}lthoff},
	editor = {M Goebel and U Lang and J Landauer and M Walper}
}
