D’Isanto A, Cavuoti S, Gieseke F, Polsterer KL (2018). Return of the features – Efficient feature selection and interpretation for photometric redshifts, Astronomy & Astrophysics, 616:A97 315
Polsterer K (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
Polsterer K (2017). Photometric redshift estimations, Proceedings of the International Astronomical Union Symposia and Colloquia, Cambridge University Press 444
Polsterer K (2016). Dealing with Uncertain Multimodal Photometric Redshift Estimations, Proc. IAU 12(S325):156-165. 2016 106
Disanto A (2016). Uncertain Photometric Redshifts with Deep Learning Methods, IAU Symposium, Astroinformatics, vol. 325, Eds: Brescia, M. and Djorgovski, G. and Feigelson, E. and Longo, G. and S. Cavuoti, eds., Oct 2016 107
Crawford E, Norris R, Polsterer K (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
Polsterer K, Gieseke F (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
Disanto A, Cavuoti S, Brescia M, Donalek C, Longo G, Riccio G, Djorgovski S (2016). An analysis of feature relevance in the classification of astronomical transients with machine learning methods, Monthly Notices of the Royal Astronomical Society, 457:3119–3132 99
Kügler S, Gianniotis N, Polsterer K (2016). An explorative approach for inspecting Kepler data, Monthly Notices of the Royal Astronomical Society, 455(4):4399–4405 102
Polsterer K, Gieseke F, Igel C, Doser B, Gianniotis N (2016). Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs, In European Symposium on Artificial Neural Networks (ESANN), pp. 405–410 103
Polsterer KL, Gieseke F, Igel C (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
Polsterer KL, Gieseke F, Gianniotis N, Kuegler SD (2015). Analyzing Complex and Structured Data via Unsupervised Learning Techniques, IAU General Assembly, 22:2258115, Aug 2015 32
Gianniotis N, Kügler SD, Tino P, Polsterer KL, Misra R (2015). Autoencoding Time Series for Visualisation, In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 495-500, May 2015 31
Polsterer KL, Gieseke F, Igel C, Goto T (2014). Improving the performance of photometric regression models via massive parallel feature selection, Astronomical Data Analysis Software and Systems XXIII, 485:425 447
Gieseke F, Polsterer K, Oancea CE, Igel C (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
Heinermann J, Kramer O, Polsterer KL, Gieseke F (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
Gieseke F, Polsterer K, Zinn P (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
Assef RJ, Denney KD, Kochanek CS, Peterson BM, Kozłowski S, Ageorges N, Barrows RS, Buschkamp P, Dietrich M, Falco E, Feiz C, Gemperlein H, Germeroth A, Grier CJ, Hofmann R, Juette M, Khan R, Kilic M, Knierim V, Laun W, Lederer R, Lehmitz M, Lenzen R, Mall U, Madsen KK, Mandel H, Martini P, Mathur S, Mogren K, Mueller P, Naranjo V, Pasquali A, Polsterer K, Pogge RW, Quirrenbach A, Seifert W, Stern D, Shappee B, Storz C, Saders JV, Weiser P, Zhang D (2011). Black Hole Mass Estimates Based on C IV are Consistent with Those Based on the Balmer Lines, ApJ 742(2):93 453
Pasquali A, Bik A, Zibetti S, Ageorges N, Seifert W, Brandner W, Rix H, Jütte M, Knierim V, Buschkamp P, Feiz C, Gemperlein H, Germeroth A, Hofmann R, Laun W, Lederer R, Lehmitz M, Lenzen R, Mall U, Mandel H, Müller P, Naranjo V, Polsterer K, Quirrenbach A, Schäffner L, Storz C, Weiser P (2011). Infrared Narrowband Tomography of the Local Starburst NGC 1569 with the Large Binocular Telescope/LUCIFER., The Astronomical Journal 141(4):132 454
2010
Gieseke F, Polsterer KL, Thom A, Zinn P, Bomanns D, Dettmar R, Kramer O, Vahrenhold J (2010). Detecting Quasars in Large-Scale Astronomical Surveys, 2010 Ninth International Conference on Machine Learning and Applications,pp.352-357,IEEE 452
Jütte M, Knierim V, Polsterer K, Lehmitz M, Storz C, Seifert W, Ageorges N (2010). The LUCIFER control software, Software and Cyberinfrastructure for Astronomy,p.774004,SPIE 469
Ageorges N, Seifert W, Jütte M, Knierim V, Lehmitz M, Germeroth A, Buschkamp P, Polsterer K, Pasquali A, Naranjo V, Gemperlein H, Hill J, Feiz C, Hofmann R, Laun W, Lederer R, Lenzen R, Mall U, Mandel H, Müller P, Quirrenbach A, Schäffner L, Storz C, Weiser P (2010). LUCIFER1 commissioning at the LBT, Ground-based and Airborne Instrumentation for Astronomy III,p.77351L,SPIE 466
Mandel HG, Appenzeller I, Seifert W, Baumeister H, Dettmar R, Feiz C, Gemperlein H, Germeroth A, Grimm B, Heidt J, Herbst T, Hofmann R, Jütte M, Knierim V, Laun W, Luks T, Lehmitz M, Lenzen R, Polsterer K, Quirrenbach A, Rohloff R, Rosenberger J, Weiser P, Weisz H (2006). LUCIFER status report: Summer 2006, Ground-based and Airborne Instrumentation for Astronomy,p.62693F,SPIE 461
2004
Mandel H, Appenzeller I, Seifert W, Baumeister H, Bizenberger P, Dettmar R, Gemperlein H, Grimm B, Herbst TM, Hofmann R, Jutte M, Laun W, Lehmitz M, Ligori S, Lenzen R, Polsterer K, Rohloff R, Schuetze A, Seltmann A, Weiser P, Weisz H, Xu W (2004). LUCIFER status report, summer 2004, Ground-based Instrumentation for Astronomy,p.1208,SPIE 458
Hofmann R, Gemperlein H, Grimm B, Jutte M, Mandel H, Polsterer K, Weisz H (2004). The cryogenic MOS unit for LUCIFER, Ground-based Instrumentation for Astronomy,p.1243,SPIE 459
Jütte M, Polsterer K, Lehmitz M, Dettmar R (2002). LUCIFER control software: an OO approach using CORBA technology, SPIE Proceedings 4848 : 387 486
Seifert W, Appenzeller I, Baumeister H, Bizenberger P, Bomans D, Dettmar R, Grimm B, Herbst T, Hofmann R, Juette M, Laun W, Lehmitz M, Lemke R, Lenzen R, Mandel H, Polsterer K, Rohloff R, Schuetze A, Seltmann A, Thatte NA, Weiser P, Xu W (2002). LUCIFER: a Multi-Mode NIR Instrument for the LBT, Instrument Design and Performance for Optical/Infrared Ground-based Telescopes,p.962,SPIE 457
2023
Schweder F (2023). Probabilistic Modelling of Time Series for explorative Big Data Analysis in Astronomy (Master’s Thesis)1626
2019
Hopkins E (2019). Semi-Automated Morphological Classification of All Radio Galaxies in the FIRST Survey Catalog Including Near-IR Counterparts
in UKIDSS (Master’s Thesis)1640
Kugler SD (2015). On the application of machine learning approaches in astronomy: Exploring novel representations of high-dimensional and complex astronomical data (Doctoral Thesis)1625
