Publications of year 2017

Articles in journal or book chapters

• Francesco Del Carratore, Andris Jankevics, Rob Eisinga, Tom Heskes, Fangxin Hong, and Rainer Breitling. RankProd 2.0: a refactored Bioconductor package for detecting differentially expressed features in molecular profiling datasets. Bioinformatics, 33:2774-2775, 2017.
  

  @ARTICLE{Carratore2017,
  AUTHOR = {Francesco Del Carratore and Andris Jankevics and Rob Eisinga and Tom Heskes and Fangxin Hong and Rainer Breitling},
  TITLE = {RankProd 2.0: a refactored Bioconductor package for detecting differentially expressed features in molecular profiling datasets},
  JOURNAL = {Bioinformatics},
  YEAR = {2017},
  VOLUME = 33,
  PAGES = {2774-2775},
  URL = {http://dx.doi.org/10.1093/bioinformatics/btx292} 
  }
  

• Rob Eisinga, Tom Heskes, Ben Pelzer, and Manfred Te Grotenhuis. Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers. BMC Bioinformatics, 18:68, 2017.
  

  @ARTICLE{Eisinga2017,
  AUTHOR = {Eisinga, Rob and Heskes, Tom and Pelzer, Ben and Te Grotenhuis, Manfred},
  TITLE = {Exact p-values for pairwise comparison of {F}riedman rank sums, with application to comparing classifiers},
  JOURNAL = {BMC Bioinformatics},
  YEAR = {2017},
  VOLUME = {18},
  PAGES = {68},
  URL = {http://dx.doi.org/10.1186/s12859-017-1486-2} 
  }
  

• Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, and Bram Platel. Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin. NeuroImage Clinical, 14:391-399, 2017.
  

  @ARTICLE{ghafoorian17a,
  AUTHOR = {Mohsen Ghafoorian and Nico Karssemeijer and Tom Heskes and Mayra Bergkamp and Joost Wissink and Jiri Obels and Karlijn Keizer and Frank-Erik de Leeuw and Bram van Ginneken and Elena Marchiori and Bram Platel},
  TITLE = {Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin},
  JOURNAL = {NeuroImage Clinical},
  VOLUME = {14},
  PAGES = {391-399},
  YEAR = {2017},
  URL = {http://dx.doi.org/10.1016/j.nicl.2017.01.033} 
  }
  

• Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge van Uden, Clara Sanchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, and Bram Platel. Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities. Scientific Reports, 7:5110, 2017.
  

  @ARTICLE{ghafoorian17a,
  AUTHOR = {Mohsen Ghafoorian and Nico Karssemeijer and Tom Heskes and Inge van Uden and Clara Sanchez and Geert Litjens and Frank-Erik de Leeuw and Bram van Ginneken and Elena Marchiori and Bram Platel},
  TITLE = {Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities},
  JOURNAL = {Scientific Reports},
  VOLUME = {7},
  PAGES = {5110},
  YEAR = {2017},
  URL = {http://dx.doi.org/10.1038/s41598-017-05300-5} 
  }
  

• Fabian Gieseke, Steven Bloemen, Cas van den Bogaard, Tom Heskes, Jonas Kindler, Richard Scalzo, Valèrio Ribeiro, Jan van Roestel, Paul Groot, Fang Yuan, Anais Möller, and Brad Tucker. Convolutional neural networks for transient candidate vetting in large-scale surveys. Monthly Notices of the Royal Astronomical Society, 472:3101-3114, 2017.
  

  @ARTICLE{gieseke17,
  AUTHOR = {Fabian Gieseke and Steven Bloemen and Cas van den Bogaard and Tom Heskes and Jonas Kindler and Richard Scalzo and Val{\`e}rio Ribeiro and Jan van Roestel and Paul Groot and Fang Yuan and Anais M{\"o}ller and Brad Tucker},
  TITLE = {Convolutional neural networks for transient candidate vetting in large-scale surveys},
  JOURNAL = {Monthly Notices of the Royal Astronomical Society},
  VOLUME = 472,
  PAGES = {3101-3114},
  YEAR = {2017},
  URL = {https://doi.org/10.1093/mnras/stx2161} 
  }
  

• Thomas Grubinger, Adriana Birlutiu, Holger Schöner, Thomas Natschläger, and Tom Heskes. Multi-domain transfer component analysis for domain generalization. Neural Processing Letters, 46:845-855, 2017.
  

  @ARTICLE{Grubinger2017,
  AUTHOR = {Grubinger, Thomas and Birlutiu, Adriana and Sch{\"o}ner, Holger and Natschl{\"a}ger, Thomas and Heskes, Tom},
  TITLE = {Multi-domain transfer component analysis for domain generalization},
  JOURNAL = {Neural Processing Letters},
  YEAR = {2017},
  VOLUME = 46,
  PAGES = {845-855},
  URL = {http://dx.doi.org/10.1007/s11063-017-9612-8} 
  }
  

• Ridho Rahmadi, Perry Groot, Marianne Heins, Hans Knoop, and Tom Heskes. Causality on cross-sectional data: Stable specification search in constrained structural equation modeling. Applied Soft Computing, 52:687-698, 2017.
  

  @ARTICLE{Rahmadi2017a,
  TITLE = {Causality on cross-sectional data: Stable specification search in constrained structural equation modeling },
  JOURNAL = {Applied Soft Computing },
  VOLUME = {52},
  PAGES = {687-698},
  YEAR = {2017},
  URL = {http://dx.doi.org/10.1016/j.asoc.2016.10.003},
  AUTHOR = {Ridho Rahmadi and Perry Groot and Marianne Heins and Hans Knoop and Tom Heskes} 
  }
  

• Elena Sokolova, Anoek Oerlemans, Nanda Rommelse, Perry Groot, Catharina Hartman, Jeffrey Glennon, Tom Claassen, Tom Heskes, and Jan Buitelaar. A causal and mediation analysis of the comorbidity between attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Journal of Autism and Developmental Disorders, 47:1595-1604, 2017.
  

  @ARTICLE{Sokolova2017,
  AUTHOR = {Sokolova, Elena and Oerlemans, Anoek and Rommelse, Nanda and Groot, Perry and Hartman, Catharina and Glennon, Jeffrey and Claassen, Tom and Heskes, Tom and Buitelaar, Jan},
  TITLE = {A causal and mediation analysis of the comorbidity between attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD)},
  JOURNAL = {Journal of Autism and Developmental Disorders},
  YEAR = {2017},
  VOLUME = 47,
  PAGES = {1595-1604},
  URL = {http://dx.doi.org/10.1007/s10803-017-3083-7} 
  }
  

• Elena Sokolova, Daniel von Rhein, Jilly Naaijen, Perry Groot, Tom Claassen, Jan Buitelaar, and Tom Heskes. Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD. International Journal of Data Science and Analytics, 3:105-119, 2017.
  

  @ARTICLE{Sokolova2016,
  AUTHOR = {Sokolova, Elena and von Rhein, Daniel and Naaijen, Jilly and Groot, Perry and Claassen, Tom and Buitelaar, Jan and Heskes, Tom},
  TITLE = {Handling hybrid and missing data in constraint-based causal discovery to study the etiology of {ADHD}},
  JOURNAL = {International Journal of Data Science and Analytics},
  YEAR = {2017},
  VOLUME = 3,
  PAGES = {105-119},
  URL = {http://dx.doi.org/10.1007/s41060-016-0034-x} 
  }
  

Conference articles

• Ioan Gabriel Bucur, Tom Claassen, and Tom Heskes. Robust causal estimation in the large-sample limit without strict faithfulness. In Aarti Singh and Jerry Zhu, editors, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, volume 54 of Proceedings of Machine Learning Research, Fort Lauderdale, FL, USA, pages 1523-1531, 20-22 Apr 2017. PMLR.
  

  @INPROCEEDINGS{bucur17a,
  TITLE = {{Robust causal estimation in the large-sample limit without strict faithfulness}},
  AUTHOR = {Ioan Gabriel Bucur and Tom Claassen and Tom Heskes},
  BOOKTITLE = {Proceedings of the 20th International Conference on Artificial Intelligence and Statistics},
  PAGES = {1523-1531},
  YEAR = {2017},
  EDITOR = {Aarti Singh and Jerry Zhu},
  VOLUME = {54},
  SERIES = {Proceedings of Machine Learning Research},
  ADDRESS = {Fort Lauderdale, FL, USA},
  MONTH = {20-22 Apr},
  PUBLISHER = {PMLR},
  PDF = {http://proceedings.mlr.press/v54/bucur17a/bucur17a.pdf},
  URL = {http://proceedings.mlr.press/v54/bucur17a.html} 
  }
  

• Ruifei Cui, Perry Groot, and Tom Heskes. Robust estimation of Gaussian copula causal structure from mixed data with missing values. In 2017 IEEE International Conference on Data Mining (ICDM), pages 835-840, 2017.
  

  @INPROCEEDINGS{cui17,
  AUTHOR = {Ruifei Cui and Perry Groot and Tom Heskes},
  TITLE = {Robust estimation of {G}aussian copula causal structure from mixed data with missing values},
  BOOKTITLE = {2017 IEEE International Conference on Data Mining (ICDM)},
  YEAR = {2017},
  PAGES = {835-840},
  URL = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.101} 
  }
  

• Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, and Tom Heskes. Massively-parallel best subset selection for ordinary least-squares regression. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1-8, 2017.
  

  @INPROCEEDINGS{gieseke2017,
  AUTHOR = {Fabian Gieseke and Kai Lars Polsterer and Ashish Mahabal and Christian Igel and Tom Heskes},
  BOOKTITLE = {2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
  TITLE = {Massively-parallel best subset selection for ordinary least-squares regression},
  YEAR = {2017},
  PAGES = {1-8},
  URL = {https://doi.org/10.1109/SSCI.2017.8285225} 
  }