• S.D. Kuegler, N. Gianniotis, K. L. Polsterer. A Spectral Model for Multimodal Redshift Estimation. IEEE Symposium on Computational Intelligence and Data Mining, SSCI, 2016
  • K. L. Posterer, F. Gieseke, C. Igel, B. Doser, N. Gianniotis. Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs.  ESANN  2016.
  • N. Gianniotis, S.D. Kuegler, K. L. Polsterer. Model-Coupled Autoencoder for Time Series Visualisation. Neurocomputing  2016.
  • S.D. Kuegler, N. Gianniotis, K. L. Polsterer. An Explorative Approach for Inspecting Kepler Data. MNRAS 2015.
  • S.D. Kuegler, N. Gianniotis, K. L. PolstererFeatureless Classification of Light Curves. MNRAS 2015.
  • N. Gianniotis, S.D. Kuegler, P. Tino, K. L. Polsterer, R. Misra: Autoencoding time series for visualisation. ESANN 2015
  • K. L. Polsterer, F. Gieseke, and C. Igel. Automatic Classification of Galaxies via Machine Learning Techniques. In Astronomical Data Analysis Software and Systems XXIV, Astronomical Society of the Pacific Conference Series, 2014.
  • S. D. Kügler, K. Nilsson, J. Heidt, J. Esser, and T. Schultz. Properties of optically selected BL Lacertae candidates from the SDSS. AAP, 569:A95, 2014.
  • P. Buschkamp, W. Seifert, K. L. Polsterer, J. Heidt, S. Rabien, H. Gemperlein, R. Genzel, M. Lehmitz, A. Pramskiy, W. Raab, D. Thompson, M De La Pena, and J. Ziegleder.  LUCI 2 : binocular and LGS/NGS AO modes of LUCI at LBT. SPIE 2014.
  • F. Gieseke, K. L. Polsterer, C. E. Oancea, and C. Igel. Speedy greedy feature selection: Better redshift estimation via massive parallelism. ESANN 2014.
  • K. L. Polsterer, F. Gieseke, C. Igel, and T. Goto. Improving the Performance of Photometric Regression Models via Massive Parallel Feature Selection. In N. Manset and P. Forshay, editors, Astronomical Data Analysis Software and Systems XXIII, volume 485 of Astronomical Society of the Pacific Conference Series, page 425, 2014.
  • J. Heinermann, O. Kramer, K. L. Polsterer, and F. Gieseke. On GPU-based nearest neighbor queries for large-scale photometric catalogs
    in astronomy. KI, pages 86–97, 2013.
  • O. Kramer, F. Gieseke, and K. L. Polsterer. Learning morphological maps of galaxies with unsupervised regression. Expert Systems with
    Applications, 40(8):2841 – 2844, 2013.
  • K. L. Polsterer, P. C. Zinn, and F. Gieseke. Finding new high-redshift quasars by asking the neighbours. MNRAS, 428:226–235, 2013.