Publikationen

2019

2018

2017

  • Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes (2017). Massively-parallel best subset selection for ordinary least-squares regression, 2017 IEEE Symposium Series on Computational Intelligence (SSCI),pp.1-8,IEEE 207
  • K. L. Polsterer (2017). Astroinformatics; a new discipline or business as usual?, In Astronomical Data Analysis Software an Systems XXVII (ADASS XXVII), vol. 496 of Astronomical Society of the Pacific Conference Series, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2017 209

2016

  • Kai L. Polsterer (2016). Dealing with Uncertain Multimodal Photometric Redshift Estimations, Proc. IAU 12(S325):156-165. 2016 106
  • Kai L. Polsterer (2016). Dealing with Uncertain Multimodal Photometric Redshift Estimations., Proc. IAU 12(S325):156-165 208
  • E. Crawford, R. P. Norris, Kai L. Polsterer (2016). WTF? Discovering the Unexpected in next-generation radio continuum surveys, In Astronomical Data Analysis Software an Systems XXV (ADASS XXV), vol. 496 of Astronomical Society of the Pacific Conference Series, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2016 105
  • Kai L. Polsterer, Fabian Gieseke (2016). Probability Density Functions for Astronomy, In Astronomical Data Analysis Software an Systems XXV (ADASS XXV), vol. 496 of Astronomical Society of the Pacific Conference Series, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2016 108
  • Sven D. Kügler, Nikolaos Gianniotis, Kai L. Polsterer (2016). An explorative approach for inspecting Kepler data, Monthly Notices of the Royal Astronomical Society, 455(4):4399–4405 102
  • Kai L. Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis (2016). Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs, In European Symposium on Artificial Neural Networks (ESANN), pp. 405–410 103

2015

  • Maximilian Hoecker, Kai Lars Polsterer, Sven Dennis Kugler, Vincent Heuveline (2015). Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties, 2015 IEEE 18th International Conference on Computational Science and Engineering,pp.82-91,IEEE 36
  • A. R. López-Sánchez, W. P. Maksym, K. L. Polsterer, K. Borden, R. P. Hollow, L. Whyte (2015). Radio Galaxy Zoo: host galaxies and radio morphologies derived from visual inspection, Mon. Not. R. Astron. Soc. 453(3):2327-2341 35
  • K. L. Polsterer, F. Gieseke, C. Igel (2015). Automatic Galaxy Classification via Machine Learning Techniques: Parallelized Rotation/Flipping INvariant Kohonen Maps (PINK), In Astronomical Data Analysis Software an Systems XXIV (ADASS XXIV), vol. 495 of Astronomical Society of the Pacific Conference Series, p. 81, Eds: Taylor, A. R. and Rosolowsky, E., Sep 2015 34
  • K. L. Polsterer, F. Gieseke, N. Gianniotis, S. D. Kuegler (2015). Analyzing Complex and Structured Data via Unsupervised Learning Techniques, IAU General Assembly, 22:2258115, Aug 2015 32
  • S. D. Kügler, N. Gianniotis, K. L. Polsterer (2015). Featureless classification of light curves, Mon. Not. R. Astron. Soc. 451(4):3385-3392 33
  • N. Gianniotis, S. D. Kügler, P. Tino, K. L. Polsterer, R. Misra (2015). Autoencoding Time Series for Visualisation, In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 495-500, May 2015 31
  • S. D. Kügler, K. Polsterer, M. Hoecker (2015). Determining spectroscopic redshifts by using k nearest neighbor regression. I. Description of method and analysis, A&A 576:A132 30
  • Maximilian Hoecker, Kai Lars Polsterer, Sven Dennis Kugler, Vincent Heuveline (2015). Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties, In Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, pp. 82-91 62

2014

  • K. L. Polsterer, F. Gieseke, Christian Igel, Tomotsugu Goto (2014). Improving the performance of photometric regression models via massive parallel feature selection, Astronomical Data Analysis Software and Systems XXIII, 485:425 447
  • F. Gieseke, Kai L. Polsterer, Cosmin Eugen Oancea, Christian Igel (2014). Speedy Greedy Feature Selection: Better Redshift Estimation via Massive Parallelism, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 23-25 April 2014 446

2013

  • Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke (2013). On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy, In KI 2013: Advances in Artificial Intelligence, pp. 86–97, Springer Berlin Heidelberg, Berlin, Heidelberg 448

2012

  • F. Gieseke, Kai L. Polsterer, Peter-Christian Zinn (2012). Photometric Redshift Estimation of Quasars: Local versus Global Regression, Astronomical Data Analysis Software and Systems XXI. Proceedings of a Conference held at Marriott Rive Gauche Conference Center, Paris, France, 6-10 November 470

2011

  • R. J. Assef, K. D. Denney, C. S. Kochanek, B. M. Peterson, S. Kozłowski, N. Ageorges, R. S. Barrows, P. Buschkamp, M. Dietrich, E. Falco, C. Feiz, H. Gemperlein, A. Germeroth, C. J. Grier, R. Hofmann, M. Juette, R. Khan, M. Kilic, V. Knierim, W. Laun, R. Lederer, M. Lehmitz, R. Lenzen, U. Mall, K. K. Madsen, H. Mandel, P. Martini, S. Mathur, K. Mogren, P. Mueller, V. Naranjo, A. Pasquali, K. Polsterer, R. W. Pogge, A. Quirrenbach, W. Seifert, D. Stern, B. Shappee, C. Storz, J. Van Saders, P. Weiser, D. Zhang (2011). Black Hole Mass Estimates Based on C IV are Consistent with Those Based on the Balmer Lines, ApJ 742(2):93 453
  • A. Pasquali, A. Bik, S. Zibetti, N. Ageorges, W. Seifert, W. Brandner, H.-W. Rix, M. Jütte, V. Knierim, P. Buschkamp, C. Feiz, H. Gemperlein, A. Germeroth, R. Hofmann, W. Laun, R. Lederer, M. Lehmitz, R. Lenzen, U. Mall, H. Mandel, P. Müller, V. Naranjo, K. Polsterer, A. Quirrenbach, L. Schäffner, C. Storz, P. Weiser (2011). Infrared Narrowband Tomography of the Local Starburst NGC 1569 with the Large Binocular Telescope/LUCIFER., The Astronomical Journal 141(4):132 454

2004

  • Holger Mandel, Immo Appenzeller, Walter Seifert, Harald Baumeister, Peter Bizenberger, Ralf-Juergen Dettmar, Hans Gemperlein, Bernhard Grimm, Tom M. Herbst, Reiner Hofmann, Marcus Jutte, Werner Laun, Michael Lehmitz, Sebastiano Ligori, Rainer Lenzen, Kai Polsterer, Ralf-Rainer Rohloff, Andreas Schuetze, Andreas Seltmann, Peter Weiser, Harald Weisz, Wenli Xu (2004). LUCIFER status report, summer 2004, Ground-based Instrumentation for Astronomy,p.1208,SPIE 458

2002

  • Walter Seifert, Immo Appenzeller, Harald Baumeister, Peter Bizenberger, Dominik Bomans, Ralf-Juergen Dettmar, Bernard Grimm, Tom Herbst, Reiner Hofmann, Marcus Juette, Werner Laun, Michael Lehmitz, Roland Lemke, Rainer Lenzen, Holger Mandel, K. Polsterer, Ralf-Rainer Rohloff, A. Schuetze, Andreas Seltmann, Niranjan A. Thatte, Peter Weiser, Wenli Xu (2002). LUCIFER: a Multi-Mode NIR Instrument for the LBT, Instrument Design and Performance for Optical/Infrared Ground-based Telescopes,p.962,SPIE 457

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