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D. Kotsur, R. Yakobenchuk, R. Leube, R. Windoffer, J. Mattes. An algorithm for individual intermediate filament tracking. In N. Lepore, J. Brieva, E. Romero, D. Racoceanu, L. Joskowicz (editors), Processing and Analysis of Biomedical Information - SaMBa 2018, Revised Selected Papers, Lecture Notes in Computer Science, volume 11379, pages 66-74, DOI 10.1007/978-3-030-13835-6_8, Springer, March, 2019.

V. Wieser, A. Widner. iCME Abschlussbericht 2018. Technical Report, number SCCH-TR-19016, January, 2019.

H. Eghbal-zadeh, W. Zellinger, G. Widmer. Mixture density generative adversarial networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 5820-5829, June, 2019.

B. Moser, M. Lunglmayr. On quasi-isometry of threshold-based sampling. IEEE Transactions on Signal Processing, volume 67, number 14, pages 3832-3841, DOI: 10.1109/TSP.2019.2919415, May, 2019.

D. Kotsur, V. Tereshchenko. Optimization heuristics for computing the voronoi skeleton. In J. Rodrigues, E. al. (editors), Computational Science – Proc. ICCS 2019, Part I, Lecture Notes in Computer Science, volume 11536, pages 96-111, DOI 10.1007/978-3-030-22734-0_8, Springer, June, 2019.

M. Ambros, M. Berneder, L. Fischer, M. Feuerstein, A. Hanbury, I. Ambros, P. Ambros, S. Taschner-Mandl. Spot detectoion at the single cell level: A computational approach to analyse ifish spots in consecutive sections of heterogeneous neuroblastoma tumors. pages Poster, June, 2019.

S. Vora, D. Kotsur, R. Windoffer, J. Mattes. A computational framework for simulating the dynamics of keratin filament networks. pages Abstract 15, September, 2018.

H. Eghbal-zadeh, R. Vogl, G. Widmer, P. Knees. A GAN based drum pattern generation UI prototype. Proceedings of ISMIR2018 Late-Breaking Demos Session, pages https://drive.google.com/file/d/12uktQ77d7MNyuQdOUfNKrT6zNIaJ-HeY/view, September, 2018.

B. Moser. A novel fibonacci pattern in pascal's triangle. arXiv:1811.02085v1 [math.HO], November, 2018.

M. Dorfer, B. Lehner, H. Eghbal-zadeh, C. Heindl, F. Paischer, G. Widmer. Acoustic scene classification with fully convolutional neural networks and i-vectors. pages http://dcase.community/challenge2018/task-acoustic-scene-classification-results-a#technical-reports, July, 2018.

P. Meloni, D. Loi, G. Deriu, A. Pimentel, D. Sapra, B. Moser, N. Shepeleva, F. Conti, L. Benini, O. Ripolles, D. Solans, M. Pintor, B. Biggio, T. Stefanov, S. Minakova, N. Fragoulis, I. Theodorakopoulos, M. Masin, F. Palumbo. ALOHA: An architectural-aware framework for deep learning at the edge. roceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications (INTESA'18), pages 19-26, DOI 10.1145/3285017.3285019, ACM, October, 2018.

D. Kotsur, R. Yakobenchuk, J. Mattes, R. Leube, R. Windoffer. Automated detection, tracking and motion analysis of cytoskeletal keratin filaments in microscopic time-lapse fluorescence recordings. pages Poster No. 135, January, 2018.

D. Kotsur, S. Vora, R. Leube, R. Windoffer, J. Mattes. Automatic segmentation and tracking of keratin filaments in. pages Abstract 14, September, 2018.

D. Lazic, F. Kromp, F. Rifatbegovic, L. Fischer, C. Ostalecki, I. Ambros, P. Ambros, S. Taschner-Mandl. Characterizing new tumor biomarkers and the microenvironment of the metastatic bone marrow niche in stage M neuroblastoma using quantitative imaging and deep-learning based feature extraction. pages Poster, October, 2018.

O. Kupyn, V. Budzan, M. Mykhailych, D. Mishkin, J. Matas. DeblurGAN: Blind motion deblurring using conditional adversarial networks. Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), pages 8183-8192, DOI 10.1109/CVPR.2018.00854, December, 2018.

L. Zhao. Deep learning based trajectory prediction and anomaly detection in crowds. Master thesis, Université Jean Monnet Saint-Etienne, June, 2018.

F. Kromp, S. Taschner-Mandl, M. Ambros, M. Berneder, L. Fischer, M. Feuerstein, A. Hanbury, I. Ambros, P. Ambros. Deep learning-based tool to analyze I-FISH spots in consecutive sections of heterogeneously amplified neuroblastoma tumors. May, 2018.

H. Eghbal-zadeh, L. Fischer, N. Popitsch, F. Kromp, S. Taschner-Mandl, K. Koutini, T. Gerber, E. Bozsaky, P. Ambros, I. Ambros, G. Widmer, B. Moser. Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. pages Poster, July, 2018.

H. Eghbal-zadeh, L. Fischer, N. Popitsch, F. Kromp, S. Taschner-Mandl, T. Gerber, E. Bozsaky, P. Ambros, I. Ambros, G. Widmer, B. Moser. Deep SNP: An end-to-end deep neural network with attention-based localization for break-point detection in SNP array genomic data. Journal of Computational Biology, DOI: 10.1089/cmb.2018.0172, December, 2018.

H. Eghbal-zadeh, M. Dorfer, G. Widmer. Deep within-class covariance analysis for robust audio representation learning. Proceedings of NIPS 2018 Workshop Interpretability and Rubustness in Audio, Speech, and Language (IRASL), pages https://openreview.net/forum?id=S1giWPGsjQ, September, 2018.

R. Leser, T. Hoch, X. Tan, B. Moser, G. Kellermayr, A. Baca. Finding efficient strategies in 3-versus-2 soccer small-sided games of youth soccer players. Kinesiology: International journal of fundamental and applied kinesiology, volume 51, number 1, pages https://hrcak.srce.hr/203816, July, 2018.

R. Vogl, H. Eghbal-zadeh, G. Widmer, P. Knees. GANs and Poses: An interactive generative music installation controlled by dance moves. Proceedings of ISMIR2018 Interactive Machine-Learning for Music (IML4M) @Exhibition, pages http://ismir2018.ircam.fr/pages/events-exhibition.html,, September, 2018.

R. Yakobenchuk, D. Kotsur, G. Sakaeva, B. Hoffmann, R. Merkel, J. Mattes. Image analysis of cytoskeletal network dynamics. pages Poster No.12, February, 2018.

K. Koutini, H. Eghbal-zadeh, G. Widmer. Iterative knowledge distillation in r-cnns for weakly-labeled semi-supervised sound event detection. In M. Plumbley, C. Kroos, J. Bello, G. Richard, D. Ellis, A. Mesaros (editors), Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), pages 173-177, Tampere University, November, 2018.

R. Serizel, N. Turpault, H. Eghbal-zadeh, A. Parag Shah. Large-scale weakly labeled semi-supervised sound event detection in domestic environments. In M. Plumbley, C. Kroos, J. Bello, G. Richard, D. Ellis, A. Mesaros (editors), Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), pages 29-23, Tampere University, November, 2018.

K. Sahni, D. Kotsur, G. Sakaeva, G. Dreissen, J. Mattes, B. Hoffmann, R. Merkel. Migration component dynamics in epithelial cell motility. pages Poster No.20, February, 2018.

K. Sahni, D. Kotsur, G. Sakaeva, G. Dreissen, J. Mattes, B. Hoffmann, R. Merkel. Migration component dynamics in epithelial cell motility. January, 2018.

K. Sahni, G. Dreissen, D. Kotsur, G. Sakaeva, J. Mattes, B. Hoffmann, R. Merkel. Migration component dynamics in epithelial cell motility. September, 2018.

H. Eghbal-zadeh, W. Zellinger, G. Widmer. Mixture density generative adversarial networks. Proceedings of NIPS 2018 Workshop Bayesian Deep Learning, pages http://bayesiandeeplearning.org/, September, 2018.

M. Dorfer. Multimodal deep representation learning and its application to audio and sheet music. PhD thesis, Johannes Kepler University Linz, October, 2018.

B. Moser. On quasi-isometry of threshold-based sampling. arXiv:1811.01436v1 [eess.SP], November, 2018.

B. Moser. On the discrepancy normed space of event sequences for threshold-based sampling. arXiv:1806.06273v1 [math.MG], June, 2018.

D. Kotsur, R. Windoffer, R. Leube, S. Pereverzyev, J. Mattes. Parameters estimation of active contour models for the problem of automatic cellular filaments tracking. March, 2018.

G. Sakaeva, D. Kotsur, K. Sahni, G. Dreissen, J. Mattes, B. Hoffmann, R. Merkel. Polarized epithelial cell migration depends on rear end stress fiber tension. pages Poster No.4, February, 2018.

G. Sakaeva, D. Kotsur, K. Sahni, G. Dreissen, J. Mattes, B. Hoffmann, R. Hoffmann. Polarized epithelial cell migration depends on rear end stress fiber tension. January, 2018.

G. Sakaeva, D. Kotsur, K. Sahni, G. Dreissen, J. Mattes, B. Hoffmann, R. Merkel. Polarized epithelial cell migration depends on rear end stress fiber tension. pages Abstract 01, September, 2018.

N. Shepeleva, T. Hoch, L. Fischer, W. Kloihofer, B. Moser. Removing nuisance in tracklet data. In H. Bouma, R. Prabhu, R. Stokes, Y. Yitzjaky (editors), Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II - Proc. SPIE 2018, volume 10802, pages 08020S, DOI 10.1117/12.2325636, SPIE, November, 2018.

D. Mishkin, F. Radenović, J. Matas. Repeatability is not enough: Learning affine regions via discriminability. In V. Ferrari, M. Hebert, C. Sminchisescu, Y. Weiss (editors), Computer Vision - ECCV 2018, Part IX, Lecture Notes in Computer Science, volume 11213, pages 287-304, DOI 10.1007/978-3-030-01240-3_18, Springer, September, 2018.

D. Lazic, F. Kromp, F. Rifatbegovic, L. Fischer, C. Ostalecki, I. Ambros, P. Ambros, S. Taschner-Mandl. Towards characterizing new biomarkers for disseminated tumor cells and the microenvironment of the metastatic bone marrow niche in stage M neuroblastoma. pages Poster, October, 2018.

D. Kotsur, R. Yakobenchuk, R. Leube, R. Windoffer, J. Mattes. Tracking the dynamics of keratin filaments. pages Poster No.11, February, 2018.

Y. Taha. Trajectory prediction in the realm of sparse data. Diploma Thesis, Johannes Kepler University Linz, July, 2018.

E. Bozsaky, T. Gerber, F. Rifatbegovic, R. Abbasi, N. Popitsch, M. Kauer, L. Fischer, H. Eghbal-zadeh, K. Bühler, S. Alemzadeh, K. Matkovic, A. Kriegner, J. Palme, M. Dulovits, A. Hanbury, M. Lupu, A. Aziz Taha, A. Bampoulidis, C. Ostalecki, M. Kampel, M. Atanasov, M. Berneder, A. Ziegler, I. Ambros, S. Taschner-Mandl, P. Ambros. VISIOMICS - Platform supporting an integrated analysis of image and multiOMICs data for biology based advanced tumor diagnostics. October, 2018.

H. Eghbal-zadeh, B. Lehner, M. Dorfer, G. Widmer. A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification. Proceedings of the 25th European Signal Processing Conference ( EUSiPCO2017), pages 2749-2753, DOI 10.23919/EUSIPCO.2017.8081711, IEEE, October, 2017.

T. Hoch, X. Tan, R. Leser, A. Baca, B. Moser. A knowledge discovery framework for the assessment of tactical behaviour in soccer based on spatiotemporal data. Mathematical and Computer Modelling of Dynamical Systems, volume 23, number 4, pages 384-398, DOI: 10.1080/13873954.2017.1336634, June, 2017.

D. Kotsur, R. Leube, R. Windoffer, J. Mattes. Active contour models for individual keratin filament tracking. In P. Roth, M. Vincze, W. Kubinger, A. Müller, B. Blaschitz, S. Stolc (editors), Proceedings of the OAGM&ARW Joint Workshop on Vision, Automation and Robotic (OAGM&ARW 2017), pages 109-110, Verlag der Technischen Universität Graz, May, 2017.

S. Baumbach, J. Binder, A. Synek, F. Mück, Y. Chevalier, E. Euler, G. Langs, L. Fischer. Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models. BMC Med Imaging, volume 17, number 1, DOI: 10.1186/s12880-017-0193-9, March, 2017.

B. Lehner, H. Eghbal-zadeh, M. Dorfer, F. Korzeniowski, K. Koutini, G. Widmer. Classifying short acoustic scenes with i-vectors and CNNS: Challenges and optimisations for the 2017 DCASE ASC task. November, 2017.

B. Bielesz, J. Patsch, L. Fischer, M. Bojic, W. Winnicki, M. Weber, D. Cejka. Cortical porosity not superior to conventional densitometry in identifying hemodialysis patients with fragility fracture. PLOS ONE, volume 12, number 2, DOI: 10.1371/journal.pone.0171873, February, 2017.

M. Kremser. Embedded Vision - Plattform für eine Online-Qualitätsinspektion. Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Embedded Systems Design, September, 2017.

B. Moser. Estimating the signal reconstruction error from threshold-based sampling without knowing the original signal. Proceedings of the 3rd International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP 2017), DOI 10.1109/EBCCSP.2017.8022834, IEEE, August, 2017.

H. Eghbal-zadeh, G. Widmer. Likelihood estimation for generative adversarial networks. pages https://arxiv.org/abs/1707.07530, July, 2017.

K. Sahni, D. Kotsur, G. Dreissen, J. Mattes, B. Hoffmann, R. Merkel, G. Sakaeva. Migration component dynamics and front-rear interplay. December, 2017.

B. Moser. Novel similarity and distance measures with applications in machine learning, image and signal processing. March, 2017.

X. Tan, V. Wieser, S. Lustig, B. Moser. Riemannian manifold approach to scheimpflug camera calibration for embedded laser-camera application. In P. Roth, M. Vincze, W. Kubinger, A. Müller, B. Blaschitz, S. Stolc (editors), Proceedings of the OAGM&ARW Joint Workshop on Vision, Automation and Robotic (OAGM&ARW 2017), pages 123,124, Verlag der Technischen Universität Graz, May, 2017.

M. Smid, J. Matas. Rolling shutter camera synchronization with sub-millisecond accuracy. Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), VISAPP, volume 4, pages 238-245, DOI 10.5220/0006175402380245, Scitepress, February, 2017.

T. Vojir. Short-term visual object tracking in real-time. PhD thesis, Czech Technical University in Prague/Faculty of Electrical Engineering, May, 2017.

B. Moser. Similarity recovery from threshold-based sampling under general conditions. IEEE Transactions on Signal Processing, volume 65, number 17, pages 4645-4654, DOI: 10.1109/TSP.2017.2712121, September, 2017.

D. Kotsur, R. Yakobenchuk, R. Leube, J. Mattes, R. Windoffer. Tracking the dynamics of individual keratin filaments (poster). June, 2017.

A. Mishchuk, D. Mishkin, F. Radenovic, J. Matas. Working hard to know your neighbor's margins: Local descriptor learning loss. Advances in Neural Information Processing Systems 30 - Proc. NIPS 2017, pages online, December, 2017.

T. Hoch. An ensemble learning approach for the kaggle taxi travel time prediction challenge. In A. Martínez-Usó, J. Mendes-Moreira, L. Moreira-Matias, M. Kull, N. Lachiche (editors), Proceedings of the ECML/PKDD 2015 Discovery Challenges, CEUR Workshop Proceedings, volume 1526, pages http://ceur-ws.org/Vol-1526/paper22.pdf, CEUR, January, 2016.

M. Dorfer, R. Kelz, G. Widmer. Deep linear discriminant analysis. Published as a conference paper at ICLR 2016 - 4th International Conference on Learning Representations, San Juan, Puerto Rico, May 2-4, 2016., pages https://arxiv.org/abs/1511.04707, February, 2016.

F. Krebs, S. Böck, M. Dorfer, G. Widmer. Downbeat tracking using beat synchronous features with recurrent neural networks. Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), pages 129-135, August, 2016.

T. Hoch, R. Leser, X. Tan, A. Baca, B. Moser. Identifying tactical patterns in soccer game play by means of an explanatory computational model. Book of Abstracts of the 21st annual Congress of the European College of Sport Science (ECSS 2016), pages 548, July, 2016.

W. Zellinger, B. Moser. Improving visual discomfort prediction for stereoscopic images via disparity-based contrast. Proceedings of the IS&T International Symposium on Electronic Imaging 2016 (EI 2016), volume Image Quality and System Performance XIII, pages 1-9(9), February, 2016.

W. Reisner, B. Moser, A. Chouikhi, M. Gelautz, F. Seitner, M. Nezveda. Linear optimization approach for depth range adaption of stereoscopic videos. Proceedings of the IS&T International Symposium on Electronic Imaging 2016 (EI 2016), volume Stereoscopic Displays and Applications XXVII, pages 1-6(6), February, 2016.

C. Motz, B. Moser. On a fast implementation of 2D-variant of Weyl's discrepancy measure. In K. Niel, P. Roth, M. Vincze (editors), Proceedings of the 1st OAGM-ARM Joint Workshop Vision Meets Robotics, pages 43-50, May, 2016.

B. Moser. On preserving metric properties of integrate-and-fire sampling. Electronic Proceedings of the 2nd International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP 2016), June, 2016.

R. Kelz, M. Dorfer, F. Korzeniowski, S. Böck, A. Artz, G. Widmer. On the potential of simple framewise approaches to piano transcription. Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), pages 475-481, August, 2016.

R. Vogl, M. Dorfer, P. Knees. Recurrent neural networks for drum transcription. Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), pages 730-736,, August, 2016.

M. Dorfer, J. Mattes. Recursive water flow: A shape decomposition approach for cell clump splitting. Proceedings of the 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), pages 811-815, IEEE, April, 2016.

R. Leser, T. Hoch, X. Tan, B. Moser, A. Baca. Searching tactical patterns in soccer game play by unsupervised machine learning. volume Book of Abstracts of the 21st annual Congress of the European College of Sport Science (ECSS 2016), pages 548, July, 2016.

T. Hoch, M. Dorfer, C. Helmbrecht. Subpixel localisation of nanoparticles in image sequences. In K. Niel, P. Roth, M. Vincze (editors), Proceedings of the 1st OAGM-ARM Joint Workshop Vision Meets Robotics, pages 61, May, 2016.

T. Hoch, X. Tan, R. Leser, A. Baca, B. Moser. Towards data-based assessment of individual tactics skills in team sports based on fuzzy petri nets. Technical Report, number SCCH-TR-16022, December, 2016.

M. Dorfer, A. Arzt, G. Widmer. Towards score following In sheet music images. roceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), pages 789-795, August, 2016.

W. Zellinger. Visual discomfort prevention: A new motion-based comfort zone. Technical Report, number SCCH-TR-1626, May, 2016.

M. Dorfer, T. Kazmar, M. Šmíd, S. Sanchit, J. Kneißl, S. Keller, O. Debeir, B. Luber, J. Mattes. Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories. Medical Image Analysis (in press, available online), DOI: http://dx.doi.org/10.1016/j.media.2015.03.007, April, 2015.

R. Leser, T. Hoch, B. Moser, A. Baca. Expert oriented analysis of football duels by means of position data. In J. Bangsbo, P. Krustrup (editors), Book of Abstracts of the 8th World Congress on Science and Football (WCSF 2015), pages 65, May, 2015.

R. Leser, B. Moser, T. Hoch, J. Stöger, G. Kellermayr, S. Reinsch, A. Baca. Expert-oriented modelling of a 1vs1-situation in football. International Journal of Performance Analysis in Sport, volume 15, number 3, pages 949-966, December, 2015.

M. Dorfer, T. Hoch, C. Helmbrecht. Exploring sub-populations in EV samples with transient nano-particle tracking analysis (t-NTA). volume 4, pages http://dx.doi.org/10.3402/jev.v4.27783, April, 2015.

W. Zellinger, B. Moser. Improving visual discomfort prediction for stereoscopic images via disparity-based contrast. Journal of Imaging Science and Technology, volume 59, number 6, pages 60401-1-60401-8(8), DOI: http://dx.doi.org/10.2352/J.ImagingSci.Technol.2015.59.6.060401, November, 2015.

T. Hoch, M. Dorfer, R. Leser, G. Stelzhammer, A. Baca. Kamerabasierte Bestimmung der Puck-Position im Eishockey. Sportinformatik X, Schriften der Deutschen Vereinigung für Sportwissenschaft, volume 244, pages 36-41, Feldhaus, June, 2015.

B. Moser. Matching event sequences approach based on Weyl's discrepancy norm. Proceedings of the 1st IEEE International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP 2015), DOI 10.1109/EBCCSP.2015.7300676, IEEE, June, 2015.

W. Reisner. Models and analysis of visual discomfort measures for stereoscopic images. Master thesis, Johannes Kepler Universität Linz/Department for Knowledge-Based Mathematical Systems, March, 2015.

A. Golabgir, T. Hoch, M. Zharyi, C. Herwig. Observability analysis of biochemical process model as a valuable tool for the development of mechanistic soft-sensors. Biotechnology Progress, volume 31, number 6, pages 1703-1715, DOI: 10.1002/btpr.2176, November, 2015.

C. Motz. Pattern matching based on Hermann Weyl’s Discrepancy Norm. Master thesis, FH Hagenberg, Embedded Systems Engineering, August, 2015.

B. Moser. Stability of threshold-based sampling as metric problem. Proceedings of the 1st IEEE International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP 2015), DOI DOI 10.1109/EBCCSP.2015.7300692, IEEE, June, 2015.

A. Serafini, R. Leser, T. Hoch, B. Moser, A. Baca. Towards data-based assessment of individual tactics skills in team sports based on Fuzzy Petri Nets. In F. Breitenecker, A. Kugi, I. Troch (editors), Abstract volume of the 8th Vienna International Conference on Mathematical Modelling - MATHMOD 2015, Argesim Report No. 44, pages 303-304, ARGESIM, February, 2015.

F. Seitner, M. Nezveda, M. Gelautz, G. Braun, C. Kapeller, W. Zellinger, B. Moser. Trifocal system for high-quality inter-camera mapping and virtual view synthesis. Proceedings of the 2015 International Conference on 3D imaging (IC3D 2015), December, 2015.

R. Leser, B. Moser, T. Hoch, O. Drachta, G. Stelzhammer, A. Baca. Wissensbasierte Modellierung der individuellen Spielleistung von LeistungssportlerInnen in Mannschaftsportarten. Sportinformatik X, Schriften der Deutschen Vereinigung für Sportwissenschaft, volume 244, pages 125-129, Feldhaus, June, 2015.

T. Hoch. Mechanistic soft-sensor development for physiological and morphological characterization of filamentous fungi cultivations. Poster, February, 2014.

B. Moser. On a multisection style binomial summation identity for Ffibonacci numbers. International Journal of Contemporary Mathematical Sciences, volume 9, number 4, pages 175-186, March, 2014.

B. Moser, T. Natschläger. On stability of distance measures for event sequences induced by level-crossing sampling. IEEE Transactions on Signal Processing, volume 62, number 8, pages 1987-1999 DOI:10.1109/TSP.2014.2305642, April, 2014.

G. Stübl. Robust defect detection for near-regular textures based on Hermann Weyl’s discrepancy measure. PhD thesis, Software Competence Center Hagenberg GmbH/KVS, January, 2014.

B. Moser. The range of a simple random walk on Z: An elementary combinatorial approach. The Electronic Journal of Combinatorics, volume 22, number 4, pages #P.10, December, 2014.

V. Wieser. A novel illumination technique for specular textured surfaces and its high performance implementation using auto-parallelization techniques. PhD thesis, Software Competence Center Hagenberg/KVS, June, 2013.

G. Stübl, B. Moser, J. Scharinger. On approximate nearest neighbor field algorithms in template matching for surface quality inspection. In A. Quesada-Arencibia et al. (editors), EUROCAST 2013 Computer Aided Systems Theory Extended Abstracts, pages 100-101, IUCTC Universidad Las Palmas, February, 2013.

G. Stübl, B. Moser, J. Scharinger. On approximate nearest neighbor field algorithms in template matching for surface quality inspection. In R. Moreno-Díaz, F. Pichler, A. Quesada-Arencibia (editors), Computer Aided Systems Theory - EUROCAST 2013, Revised Selected Papers, Part II, Lecture Notes in Computer Science, volume 8112, pages 79-86, Springer, December, 2013.

B. Moser, F. Eibensteiner, J. Kogler, G. Stübl. On the relevance of discrepancy norm for similarity-based clustering of delta-event-sequences. In A. Quesada-Arencibia et al. (editors), EUROCAST 2013 Computer Aided Systems Theory Extended Abstracts, pages 22-23, IUCTC Universidad Las Palmas, February, 2013.

B. Moser, F. Eibensteienr, J. Kogler, G. Stübl. On the relevance of discrepancy norm for similarity-based clustering of delta-event-sequences. In R. Moreno-Díaz, F. Pichler, A. Quesada-Arencibia (editors), Computer Aided Systems Theory - EUROCAST 2013, Revised Selected Papers, Part I, Lecture Notes in Computer Science, volume 8111, pages 84-91, Springer, December, 2013.

J. Bouchot, G. Stübl, B. Moser. A template matching approach based on the discrepancy norm for defect detection on regularly textured surfaces. In J. Pinoli, J. Debayle, Y. Gavet, F. Gruy, C. Lambert (editors), Proceedings of the 10th International Conference on Quality Control by Artificial Vision (QCAV'2011), volume 800, pages DOI: 10.1117/12.889865, SPIE, May, 2012.

V. Wieser, B. Moser, S. Scholz, S. Herhut, J. Guo. Combining high productivity and high performance in image processing using single assignment C. In J. Pinoli, J. Debayle, Y. Gavet, F. Gruy, C. Lambert (editors), Proceedings of the 10th International Conference on Quality Control by Artificial Vision (QCAV'2011), volume 8000, pages DOI: 10.1117/12.890920, SPIE, May, 2012.

G. Stübl, J. Bouchot, P. Haslinger, B. Moser. Discrepancy norm as fitness function for defect detection on regularly textured surfaces. In A. Prinz, T. Pock, H. Bischof, F. Leberl (editors), Pattern Recognition - Proc. DAGM and OAGM 2012, Lecture Notes in Computer Science, volume 7476, pages 428-437, Springer, August, 2012.

B. Scheuermann, K. Hammond, A. Shaferenko, C. Jesshope, H. Hertlein, V. Wieser, P. Hölzenspies, R. Kirner, T. Iraneus. Engineering concurrent software guided by statistical performance analysis. In K. De Bosschere, E. D'Hollander, G. Joubert, D. Padua, F. Peters (editors), Applications, Tools and Techniques on the Road to Exascale Computing, Advances in Parallel Computing, volume 22, pages 385-394, IOS Press, May, 2012.

J. Mattes, A. Chemelli, M. Wick, D. Soimu, C. Pontow, A. Lopez, M. Netzer, I. Chemelli-Steingruber. Evaluation of a new computerized analysis system developed for the processing of CT follow-up scans after EVR of infrarenal aneurysm. European journal of radiology, volume 81, number 3, pages 496-501, March, 2012.

M. Mayrhofer. Evaluierung von leistungsfähigen Stereo Vision Algorithmen. Master thesis, Software Competence Center Hagenberg/KVS, May, 2012.

V. Wieser, C. Grelck, H. Schöner, P. Haslinger, K. Bosa, B. Moser. GPU-based image processing unse cases: A high-level approach. In K. De Bosschere, E. D'Hollander, G. Joubert, D. Padua, F. Peters (editors), Applications, Tools and Techniques on the Road to Exascale Computing, Advances in Parallel Computing, volume 22, pages 199-206, IOS Press, May, 2012.

M. Felkl, T. Kazmar, M. Šmid, J. Mattes, R. Windoffer, R. Leube. Monitoring the cytoskeletal EGF response in live gastric carcinoma cells. PLoS ONE, volume 7, number 9, pages doi:10.1371/journal.pone.0045280, September, 2012.

B. Moser. A similarity measure for image and volumetric data based on Hermann Weyl's discrepancy. IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, number 11, pages 2321-2329, November 2011, 2011.

B. Scheuermann, K. Hammond, A. Shafarenko, C. Jesshope, H. Hertlein, V. Wieser, H. Schöner, B. Moser, R. Kirner, T. Boekhorst Iraneus. Concurrent software engineering on multicore systems supported by statistical performance analysis. Technical Report, KVS, September, 2011.

B. Moser. Discrete geometric foundation of event based imaging approach. Technical Report, KVS, September, 2011.

B. Moser, G. Stübl, J. Bouchot. On a non-monotonicity effect of similarity measures. In M. Pelillo, E. R. Hancock (editors), Similarity-Based Pattern Recognition, 1st International Workshop, SIMBAD 2011, Lecutre Notes in Computer Science, volume 7005, pages 46-60, Springer, September, 2011.

B. Moser. Recent research results in discrepancy norm project. Technical Report, KVS, July, 2011.

M. Stepnicka, U. Bodenhofer, M. Dankova, V. Novak. Continuity issues of the implicational interpretation of fuzzy rules. Fuzzy Sets and Systems, volume 161, number 14, pages 1959-1972, March, 2010.

T. Kazmar, M. Smid, M. Fuchs, B. Luber, J. Mattes. Learning cellular texture features in microscopic cancer cell images for automated cell-detection. Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 49-52, IEEE, August, 2010.

B. Moser, J. Bouchot, G. Stübl. On a Lipschitz Property of Hermann Weyl's discrepancy norm and its relevance. Technical Report, number SCCH-TR-1011, KVS, September, 2010.

J. Bouchot, J. Himmelbauer, B. Moser. On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis. In A. Prieto (editor), Proceedings of the IEEE World Congress on Computational Intelligence (WCCI 2010), pages 3139 - 3145, IEEE, July, 2010.

Quality analysis of surfaces with confluent mottling. Proceedings of the 9th International Conference on Quality Control by Artificial Vision (QCAV'09), pages ID 116, June, 2010.

B. Moser, P. Haslinger, T. Kazmar. Texture classification with SVM based on Hermann Weyl’s discrepancy norm. Proceedings of the 9th International Conference on Quality Control by Artificial Vision (QCAV'09), pages ID 115, June, 2010.

K. Rohr, W. Godinez, N. Harder, S. Wörz, J. Mattes, W. Tvaruskó, R. Eils. Tracking and quantitative analysis of dynamic movements of cells and particles. Cold Spring Harbor Protocol, volume 2010, number 6, pages doi:10.1101/pdb.top80, June, 2010.

C. Gonzalez-Mocillo, L. Lopez, J. Castro-Schez, B. Moser. A data-mining approach to 3D realistic render setup assistance. In K. Haigh, N. Rychtyckjy (editors), Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference IAAI 2009, pages 93-98, AAAI Press, July, 2009.

W. Beer, W. Kurschl, F. Matusek, S. Mitsch, B. Moser, T. Natschläger, J. Schönböck, S. Sutor. Application development and management of smart camera networks. In A. Belbachir (editor), Smart Cameras, pages 259-266, Springer Berlin Heidelberg, November, 2009.

A. Danila. Enhancing 3D modelling software for inline quality control. Master thesis, Internationaler Universitätslehrgang INFORMATICS: Engineering & Management/KVS, July, 2009.

G. Guta, B. Moser, T. Natschläger. Machine learning extended by semantic reasoning for knowledge discovery of sensory data. Technical Report, number SCCH-TR-0940, KVS, 2009.

B. Moser. On the compactness of admissible transformations of fuzzy partitions in terms of T-equivalence relations. Fuzzy Sets and Systems, volume 160, number 1, pages 95-106, January, 2009.

B. Moser. Similarity measure for image and volumetric data based on Hermann Weyl's discrepancy. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 99, number 1, pages DOI 10.1109/TPAMI.2009.50, 2009.

A. Lopez, K. Fritscher, T. Trieb, R. Schubert, J. Mattes. 3D inter-subject cardiac registration using 4D information. In J. M. Reinhardt; Josien P. W.Pluim (editors), Proceedings of Medical Imaging 2008: Image Processing, volume 6914, pages DOI: 10.1117/12.771386, April, 2008.

J. Mattes, J. Gall, A. Lopez. A maximal mass confinement principle for rigid and locally rigid image registration. In D. Axel, L. Fichtinger, G. Szekely (editors), Proc. MICCAI 2008, Lecture Notes in Computer Science, volume 5242, pages 1058-1065, Springer, September 2008, 2008.

A. Lopez, K. Fritscher, T. Trieb, R. Schubert, J. Mattes. Cardiac 4D image sequence registration. In A. Kuijper, B. Heise, L. Muresan (editors), Proceedings of 32nd Workshop of the Austrian Association for Pattern Recogntion (AAPT/OAGM), Challenges in the Biosciences: Image Analysis and Pattern Recognition Aspects, pages 53-62, OCG, May, 2008.

J. Mattes. Comparing shape and motion of biological and medical objects - methodological aspects and application. In A. Kuijper, B. Heise, L. Muresan (editors), Proceedings of 32nd Workshop of the Austrian Association for Pattern Recogntion (AAPT/OAGM), Challenges in the Biosciences: Image Analysis and Pattern Recognition Aspects, pages 63-78, OCG, May, 2008.

B. Moser, F. Bauer, P. Elbau, B. Heise, H. Schöner. Denoising techniques for raw 3D data of TOF cameras based on clustering and wavelets. In B. D. Corner, M. Mochimaru, R. Sitnik (editors), Electronic Proceedings of Electronic Imaging 2008, Three-Dimensional Image Capture and Applications 2008, volume 6805, pages doi: 10.1117/12.765541, January, 2008.

GPU computing approach for parallelizing support vector machine classification. Master thesis, Internationaler Universitätslehrgang: Informatics: Engineering & Management/KVS, July, 2008.

B. Moser, T. Hoch. Misalignment measure based on Hermann Weyl's. In A. Kuijper, B. Heise, L. Muresan (editors), Proceedings of 32nd Workshop of the Austrian Association for Pattern Recogntion (AAPT/OAGM), Challenges in the Biosciences: Image Analysis and Pattern Recognition Aspects, pages 187-198, OCG, May, 2008.

B. Moser. On well-posedness criteria for optimizing fuzzy systems in terms of t-equivalence relations. Technical Report, number SCCH-TR-0636, KVS, 2008.

B. Moser, H. Schöner, A. Dorrington, M. Cree, D. Carnegie, F. Bauer, B. Heise. Potential von Time Of Flight Kameras für industrielle Anwendungen. Tagungsband Industrielles Symposium Mechatronik Automatisierung, pages 275-277, Clusterland Oberösterreich GmbH / Mechatronik-Cluster, October, 2008.

S. Söll, B. Roither, B. Moser, P. Haslinger, H. Ernst. Rekonstruktion und Bewertung von 3D Profilen von Textiloberflächen mittels der „Shape-From-Shading“ Technolgie. Tagungsband Industrielles Symposium Mechatronik Automatisierung, pages 173-182, Clusterland Oberösterreich GmbH / Mechatronik-Cluster, October, 2008.

B. Moser, M. Smid, J. Mattes, C. Hofer, M. Urban. Robuste und effiziente Konturextraktion zwecks Objekterkennung und - Lokalisierung. Tagungsband Industrielles Symposium Mechatronik Automatisierung, pages 161-169, Clusterland Oberösterreich GmbH / Mechatronik-Cluster, October, 2008.

H. Schöner. Challenges and solutions for process monitoring. ISM Tagungsband, pages 269-274, Clusterland Oberösterreich / Mechatronik-Cluster, October 2007, 2007.

V. Wieser, F. Kossak, S. Larndorfer, B. Moser. High performance surface inspection method for thin-film sensors. In F. Meriaudeau, K. S. Niel (editors), Machine Vision Applications in Industrial Inspection XV, Electronic Imaging 2007 Proc, Electronic Imaging 2007 Proc., volume 6503, January/February, 2007.

B. Moser. On the compactness of admissible transformations of fuzzy partitions. Technical Report, number 635, KVS, 2007.

M. Wachsmann. Pattern and object recognition based on feature extraction - A case study for a pick & place application. Master thesis, FH Hagenberg/KVS, September, 2007.

B. Moser, P. Haslinger, M. Wachsmann, V. Wieser. State-of-the-Art Methoden für die Objektdetektion und Erkennung für industrielle Anwendungen: datengetriebene versus merkmals- und modellbasierte Methoden. ISM Tagungsband, pages 261-268, Clusterland Oberösterreich / Mechatronik-Cluster, October 2007, 2007.

B. Moser, P. Haslinger, V. Wieser. Visuelle Expertensystem für die Oberflächenqualitätskontrolle. ISM Tagungsband, pages 253-259, Clusterland Oberösterreich / Mechatronik-Cluster, October 2007, 2007.

B. Moser. Design of knowledge-based kernels by t-equivalences. Technical Report, number SCCH-TR-0610, KVS, 2006.

B. Moser. Kernels from a fuzzy perspective. January/February, 2006.

P. Haslinger, B. Moser. A knowledge-based approach to the design of kernels: Case studies. Technical Report, number SCCH-TR-0529, KVS, 2005.

B. Moser. Characterization of kernels in the frequency domain: A tutorial. Technical Report, number SCCH-TR-0535, KVS, 2005.

B. Moser. On generating kernels by fuzzy relations. Technical Report, number SCCH-TR-0527, KVS, 2005.

B. Moser. On the relationship of kernels in machine learning and fuzzy similarity relations. Technical Report, number SCCH-TR-0508, KVS, 2005.

B. Moser. Segmentation and tracking by mean shift: A tutorial. Technical Report, number SCCH-TR-0534, KVS, 2005.

M. Drobics, U. Bodenhofer, M. Mittendorfer. A three-stage approach to descriptive data analysis - Identifying clusters and corresponding interpretable descriptions from large data sets. Proc. 7th COST Action 276 Workshop, November, 2004.

D. Soukup. Separation of banknote print layers using a sequence of sample images. Master thesis, KVS, 2004.

U. Bodenhofer. A unified framework of opening and closure operators with respect to arbitrary fuzzy relations. Soft Computing, volume 7, number 4, pages 220-227, February, 2003.

M. Drobics, U. Bodenhofer, E. Klement. FS-FOIL: An inductive learning method for extracting interpretable fuzzy descriptions. International Journal of Approximate Reasoning, volume 32, number 2-3, pages 131-152, February, 2003.

U. Bodenhofer, M. De Cock, E. Kerre. Openings and closures of fuzzy preorderings: Theoretical basics and applications to fuzzy rule-based systems. Int. Journal of General Systems, volume 32, number 4, pages 343-360, 2003.

P. Hobelsberger, M. Drobics, R. Wegenkittl. Analysis and visualization of 4D medical images using self-organizing maps and clustering. In F. Leberl, F. Frauendorfer (editors), Vision with Non-Traditional Sensors - Proc. 26th Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), pages 273-280, OCG, September, 2002.

M. Drobics, U. Bodenhofer, W. Winiwarter. Mining clusters and corresponding interpretable descriptions - A three-stage approach. Expert Systems: The Journal of Knowledge Engineering and Neural Networks, volume 19, number 4, pages 224-234, September, 2002.

U. Bodenhofer. Generalized opening and closure operators of fuzzy relations. Proc. 2nd Int. ICSC Congress on Computational Intelligence: Methods and Applications (CIMA 2001), pages 677-683, June, 2001.

M. Drobics. Image segmentation and labeling using SOMs. Technical Report, number SCCH-TR-0106, KVS, 2001.

M. Drobics. Finding fuzzy descriptions using SOMs. Technical Report, number SCCH-TR-0008, KVS, 2000.

U. Bodenhofer, M. De Cock, E. Kerre. Opening and closure operators of fuzzy preorderings: Basic properties and applications to fuzzy rule-based systems. Technical Report, number SCCH-TR-0061, KVS, 2000.

M. Burger, J. Haslinger, U. Bodenhofer. Regularized optimization of fuzzy controllers. Technical Report, number SCCH-TR-0056, KVS, 2000.