Biblio

Export 177 results:
Author Title Type [ Year(Asc)]
2021
Sick, B., T. Hothorn, and O. Dürr, "Deep transformation models: Tackling complex regression problems with neural network based transformation models", Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021, 2021.
2018
Casanova, R., E. Murina, M. Haberecker, H. Honcharova-Biletska, B. Vrugt, O. Dürr, B. Sick, and A. Soltermann, "Automatic classification of non-small cell lung cancer histologic sub-types by deep learning", VIRCHOWS ARCHIV: Springer, pp. 108-108, 09/18, 2018.
Stadelmann, T., S. Glinski-Haefeli, P. Gerber, and O. Dürr, "Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering", IAPR Workshop on Artificial Neural Networks in Pattern Recognition: Springer, pp. 333–345, 2018.
PDF icon ANNPR_2018b.pdf (692.47 KB)
Zirkler, R., T. Eckhard, and B. Jödicke, "A concept for a multi-spectral snap-shot camera based on single-chip RGB sensor", Forum Bildverarbeitung, pp. Poster, 2018.
Laube, P., M. O. Franz, and G. Umlauf, "Deep Learning Parametrization for B-Spline Curve Approximation", 2018 International Conference on 3D Vision (3DV): IEEE, pp. 691–699, 2018.
PDF icon 0109.pdf (675.91 KB)
Siegismund, D., V. Tolkachev, S. Heyse, B. Sick, O. Dürr, and S. Steigele, "Developing deep learning applications for life science and pharma industry", Drug research, vol. 68, pp. 305–310, 2018.
Laube, P., G. Michael, M. O. Franz, and G. Umlauf, "Image Inpainting for High-Resolution Textures using CNN Texture Synthesis", Computer Graphics & Visual Computing (CGVC), Swansea UK, Eurographics Association, 2018.
PDF icon gcvc18.pdf (5.73 MB)
Dürr, O., E. Murina, D. Siegismund, V. Tolkachev, S. Steigele, and B. Sick, "Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes", Assay and drug development technologies, vol. 16, no. 6: Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, pp. 343–349, 2018.
PDF icon adt.2018.859.pdf (711.06 KB)
Meier, B. Bruno, I. Elezi, M. Amirian, O. Dürr, and T. Stadelmann, "Learning Neural Models for End-to-End Clustering", IAPR Workshop on Artificial Neural Networks in Pattern Recognition: Springer, pp. 126–138, 2018.
PDF icon ANNPR_2018a.pdf (3.43 MB)
Laube, P., M. O. Franz, and G. Umlauf, "Learnt knot placement in B-spline curve approximation using support vector machines", Computer Aided Geometric Design, vol. 62, pp. 104–116, 2018.
PDF icon GMP18.pdf (865.85 KB)
Schall, M., H. P. Buehrig, M-P. Schambach, and M. O. Franz, "LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries", 13th IAPR International Workshop on Document Analysis Systems: IEEE, 2018.
PDF icon 2018-04 LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.pdf (145.78 KB)
Schall, M., M-P. Schambach, and M. O. Franz, "Multi-Dimensional Connectionist Classification: Reading Text in One Step", 13th IAPR International Workshop on Document Analysis Systems: IEEE, 2018.
PDF icon 2018-04 Multi-Dimensional Connectionist Classification Reading Text in One Step.pdf (485.57 KB)
Grunwald, M., M. Hermann, F. Freiberg, and M. O. Franz, "Optical Surface Detection: A novelty detection approach based on CNN-encoded features", SPIE Optics and Photonics, pp. 10752 - 10752 - 13, 10/2018.
Schall, M., D. Sacha, M. Stein, M. O. Franz, and D. A. Keim, "Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition", Visualization in Data Science (VDS at IEEE VIS) 2018, Berlin/Germany, IEEE, 2018.
PDF icon Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.pdf (1.03 MB)
2017
Laube, P., M. O. Franz, and G. Umlauf, "Evaluation of features for SVM-based classification of geometric primitives in point clouds", Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on: IEEE, pp. 59–62, 2017.
PDF icon paper.pdf (1.5 MB)

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