@incollection{H{\"u}lsmannBorscheidFriedrich2011,
  author    = {H{\"u}lsmann, Marco and Borscheid, Detlef and Friedrich, Christoph M.},
  title     = {General sales forecast models for automobile markets based on time series analysis and data mining techniques},
  series = {Advances in data mining : applications and theoretical aspects},
  publisher = {Springer-Verlag},
  address   = {Berlin},
  pages     = {15},
  year      = {2011},
  language  = {en}
}
@incollection{CheboutiFriedrich2015,
  author    = {Chebouti, Issam and Friedrich, Christoph M.},
  title     = {Association between tumor infiltrating immune cells, circulating tumor cells in blood and disseminated tumor cells in the bone marrow in patients with primary ovarian cancer},
  series = {Proceedings : AACR 106th annual meeting 2015 ; April 18-22, 2015, Philadelphia, PA},
  publisher = {American Association for Cancer Research},
  address   = {Philadelphia, PA},
  year      = {2015},
  language  = {en}
}
@incollection{PelkaFriedrich2015,
  author    = {Pelka, Obioma and Friedrich, Christoph M.},
  title     = {FHDO biomedical computer science group at medical classication task of ImageCLEF 2015},
  series = {CLEF 2015 working notes : working notes of CLEF 2015 - Conference and Labs of the Evaluation forum, Toulouse, France, September 8 - 11, 2015},
  year      = {2015},
  language  = {en}
}
@incollection{GurulingappaM{\"u}llerFriedrich2010,
  author    = {Gurulingappa, Harsha and M{\"u}ller, Bernd and Friedrich, Christoph M.},
  title     = {Prior art search in chemistry patents based on semantic concepts and co-citation analysis},
  series = {The nineteenth text REtrieval conference (TREC 2010) proceedings},
  year      = {2010},
  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}
}
@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}
}
@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{SahadevanHofmann-ApitiusFriedrich2012,
  author    = {Sahadevan, S. and Hofmann-Apitius, M. and Friedrich, Christoph M.},
  title     = {Text mining in livestock animal science},
  series = {Journal of animal science},
  volume    = {90 (2012)},
  number    = {10},
  issn      = {1525-3163},
  pages     = {11},
  year      = {2012},
  language  = {en}
}
@article{YounesiToldoFriedrich2012,
  author    = {Younesi, E. and Toldo, L. and Friedrich, Christoph M.},
  title     = {Mining biomarker information in biomedical literature},
  series = {BMC Medical informatics \& decision making},
  issn      = {1472-6947},
  year      = {2012},
  language  = {en}
}
@article{H{\"u}lsmannBorscheidFriedrich2012,
  author    = {H{\"u}lsmann, Marco and Borscheid, Detlef and Friedrich, Christoph M.},
  title     = {General sales forecast models for automobile markets and their analysis},
  series = {Transactions on machine learning and data mining},
  volume    = {5 (2012)},
  number    = {2},
  issn      = {1865-6781},
  pages     = {22},
  year      = {2012},
  language  = {en}
}