@incollection{KoitkaFriedrich2016,
  author    = {Koitka, Sven and Friedrich, Christoph M.},
  title     = {Traditional feature engineering and deep learning approaches at medical classification task of ImageCLEF 2016},
  series = {Working notes of CLEF 2016 : conference and labs of the evaluation forum, {\´E}vora, Portugal, 5-8 September 2016},
  pages     = {14},
  year      = {2016},
  language  = {en}
}
@incollection{M{\"u}llerPl{\"o}gerFriedrich2016,
  author    = {M{\"u}ller, David and Pl{\"o}ger, Sabrina and Friedrich, Christoph M.},
  title     = {Random-Forest-Implementierung auf SAP HANA},
  series = {Schriftenreihe des Fachbereichs Informatik der Fachhochschule Dortmund - Band 2},
  publisher = {Monsenstein und Vannerdat},
  address   = {M{\"u}nster},
  pages     = {15},
  year      = {2016},
  language  = {de}
}
@article{KoitkaFriedrich2016,
  author    = {Koitka, Sven and Friedrich, Christoph M.},
  title     = {nmfgpu4R: GPU-accelerated computation of the Non-Negative Matrix Factorization (NMF) using CUDA capable hardware},
  series = {The R Journal},
  volume    = {8 (2016)},
  number    = {2},
  pages     = {11},
  year      = {2016},
  language  = {en}
}
@article{van't HofRuigrokFriedrich2016,
  author    = {van't Hof, Femke N. G. and Ruigrok, Ynte M. and Friedrich, Christoph M.},
  title     = {Shared genetic risk factors of intracranial, abdominal and thoracic aneurysms},
  series = {Journal of the American Heart Association},
  volume    = {5 (2016)},
  number    = {7},
  year      = {2016},
  language  = {en}
}
@article{PelkaFriedrich2016,
  author    = {Pelka, Obioma and Friedrich, Christoph M.},
  title     = {Modality prediction of biomedical literature images using multimodal feature representation = Klassifikation von Bildern der biomedizinischen Literatur unter Anwendung multimodaler Merkmale},
  series = {GMS Medizinische Informatik, Biometrie und Epidemiologie},
  volume    = {12 (2016)},
  number    = {2},
  issn      = {1860-9171},
  pages     = {11},
  year      = {2016},
  language  = {en}
}