Biblio

Export 218 results:
Author Title [ Type(Asc)] Year
Journal Article
Franz, M. O., & Krapp H. G. (2000).  Wide-field, motion-sensitive neurons and matched filters for optic flow fields. Biol. Cybern.. 83, 185 – 197.PDF icon Franz, Krapp_2000_Wide-field, motion-sensitive neurons and matched filters for optic flow fields.pdf (261.7 KB)
Franz, M. O., Schölkopf B., Mallot H. A., & Bülthoff H. H. (1998).  Where did I take that snapshot? Scene-based homing by image matching. Biol. Cybern.. 79, 191 – 202.PDF icon Franz et al._1998_Where did I take that snapshot Scene-based homing by image matching.pdf (488.99 KB)
Yovel, Y., Stilz P., Franz M. O., Boonman A., & Schnitzler H.-U. (2009).  What a plant sounds like: the statistics of vegetation echoes as received by echolocating bats. PLoS Comput. Biol.. 5, e1000429. doi:10.1371/journal.pcbi.1000429.PDF icon Yovel et al._2009_What a plant sounds like the statistics of vegetation echoes as received by echolocating bats.pdf (855.02 KB)
Grunwald, M., & Franz M. O. (2016).  Wahrnehmungsorientierte optische Inspektion von texturierten Oberflächen. INFORMATIK 2016, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik. 259, 1963–1968.
Franz, M. O. (2011).  Volterra and Wiener series. Scholarpedia. 6, 11307.
Yovel, Y., Melcón M. L., Franz M. O., Denzinger A., & Schnitzler H.-U. (2009).  The voice of bats: how greater mouse-eared bats recognize individuals based on their echolocation calls. PLoS Comput. Biol.. 5, e1000400:10.1371/journal.pcbi.1000400.PDF icon Yovel et al._2009_The voice of bats how greater mouse-eared bats recognize individuals based on their echolocation calls.pdf (458.53 KB)
Adomeit, S., Berlin C., Grover P., Dreischarf M., Halm H., Dürr O., et al. (2022).  Validation study of an algorithm based on artificial intelligence for automated computation of coronal parameters on preoperative AP X-rays. Brain and Spine. 2, 101156.
Dürr, O., & Brandenburg A. (2012).  Using Community Structure for Complex Network Layout. arXiv preprint arXiv:1207.6282.
Franz, M. O., & Schölkopf B. (2006).  A unifying view of Wiener and Volterra theory and polynomial kernel regression. Neural Computation. 18, 3097 – 3118.PDF icon Franz, Schölkopf_2006_A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression.pdf (165.97 KB)
Franzini, A., Dürr O., Baty F., & Brutsche M. (2014).  Tumor-associated stromal gene expression signatures predict therapeutic response to erlotinib/bevacizumab in non-small cell lung cancer (NSCLC). European Respiratory Journal. 44, P821.
Hörtling, S., Dold D., Dürr O., & Sick B. (2021).  Transformation models for flexible posteriors in variational bayes. arXiv preprint. 2106.00528.PDF icon 2106.00528.pdf (1.03 MB)
Franz, M. O., Yovel Y., Melcón M. L., Stilz P., & Schnitzler H.-U. (2012).  Systematische Merkmalsbewertung in komplexen Ultraschallsignalen mit Lernmaschinen. Informatik-Spektrum. 35, 348 – 353.PDF icon Franz et al._2011_Systematische Merkmalsbewertung in komplexen Ultraschallsignalen mit Lernmaschinen.pdf (899.32 KB)
Ginkel, I., & Umlauf G. (2008).  Symmetry of shape charts. Computer Aided Geometric Design. 25, 131-136.PDF icon Symmetry.pdf (483.24 KB)
Franz, M. O., & Zhang M. (1995).  Supression and creation of chaos in a periodically forced Lorenz system. Phys. Rev. E. 52, 3558–3565.PDF icon Franz, Zhang_1995_Supression and creation of chaos in a periodically forced Lorenz system.pdf (1.45 MB)
Aguilera, D. N., Ahlers H., Battelier B., Bawamia A., Bertoldi A., Bondarescu R., et al. (2014).  STE-QUEST — Test of the universality of free fall using cold atom interferometry. Classical and Quantum Gravity. 31, 115010.PDF icon Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
Dürr, O., & Sick B. (2016).  Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks. Journal of biomolecular screening. 21, 998–1003.
Arpogaus, M., Voss M., Sick B., Nigge-Uricher M., & Dürr O. (2023).  Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows. IEEE Transactions on Smart Grid.
Dürr, O., Duval F., Nichols A., Lang P., Brodte A., Heyse S., et al. (2007).  Robust hit identification by quality assurance and multivariate data analysis of a high-content, cell-based assay. Journal of biomolecular screening. 12, 1042–1049.
Huber, S., Franz M. O., & Bülthoff H. H. (1999).  On robots and flies: Modeling the visual orientation behavior of flies. Robotics and Autonomous Systems. 29, 227–242.PDF icon Huber, Franz, Bülthoff_1999_On robots and flies Modeling the visual orientation behavior of flies.pdf (473.13 KB)
Denker, K., Lehner B., & Umlauf G. (2011).  Real-time triangulation of point streams. Engineering with Computers. 27, 67-80.PDF icon RTTriangulationPointStreams.pdf (1.05 MB)
Heyse, S., Brodte A., Bruttger O., Duerr O., Freeman T., Jung T., et al. (2005).  Quantifying bioactivity on a large scale: quality assurance and analysis of multiparametric ultra-HTS data. JALA: Journal of the Association for Laboratory Automation. 10, 207–212.
Yovel, Y., Franz M. O., Stilz P., & Schnitzler H.-U. (2008).  Plant classification from bat-like echolocation signals. PLoS Comput.\ Biol.. 4, e1000032.PDF icon Yovel et al._2008_Plant classification from bat-like echolocation signals.pdf (772.54 KB)

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