Publications of year 2014

Articles in journal or book chapters

• Syed Saiden Abbas, Tjeerd Dijkstra, and Tom Heskes. A comparative study of cell classifiers for image-based high-throughput screening. BMC Bioinformatics, 15:342, 2014.
  

  @ARTICLE{abbas2014a,
  AUTHOR = {Syed Saiden Abbas and Tjeerd Dijkstra and Tom Heskes},
  TITLE = {A comparative study of cell classifiers for image-based high-throughput screening},
  JOURNAL = {BMC Bioinformatics},
  VOLUME = 15,
  PAGES = {342},
  YEAR = 2014,
  URL = {http://dx.doi.org/10.1186/1471-2105-15-342} 
  }
  

• Jesse Alama, Tom Heskes, Daniel Kühlwein, Evgeni Tsivtsivadze, and Josef Urban. Premise selection for mathematics by corpus analysis and kernel methods. Journal of Automated Reasoning, 52:191-213, 2014.
  

  @ARTICLE{alama2013,
  JOURNAL = {Journal of Automated Reasoning},
  TITLE = {Premise selection for mathematics by corpus analysis and kernel methods},
  URL = {http://dx.doi.org/10.1007/s10817-013-9286-5},
  AUTHOR = {Alama, Jesse and Heskes, Tom and K{\"u}hlwein, Daniel and Tsivtsivadze, Evgeni and Urban, Josef},
  VOLUME = 52,
  PAGES = {191-213},
  YEAR = 2014 
  }
  

• Tom Heskes, Rob Eisinga, and Rainer Breitling. A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments. BMC Bioinformatics, 15:367, 2014.
  

  @ARTICLE{heskes2014,
  AUTHOR = {Tom Heskes and Rob Eisinga and Rainer Breitling},
  TITLE = {A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments},
  JOURNAL = {BMC Bioinformatics},
  VOLUME = 15,
  PAGES = 367,
  URL = {http://dx.doi.org/10.1186/s12859-014-0367-1},
  YEAR = 2014 
  }
  

• Max Hinne, Luca Ambrogioni, Ronald Janssen, Tom Heskes, and Marcel van Gerven. Structurally-informed Bayesian functional connectivity analysis. NeuroImage, 86:294-305, 2014.
  

  @ARTICLE{hinne2013,
  AUTHOR = {Max Hinne and Luca Ambrogioni and Ronald Janssen and Tom Heskes and Marcel van Gerven},
  TITLE = {Structurally-informed {B}ayesian functional connectivity analysis},
  JOURNAL = {NeuroImage},
  URL = {http://dx.doi.org/10.1016/j.neuroimage.2013.09.075},
  YEAR = 2014,
  VOLUME = 86,
  PAGES = {294-305} 
  }
  

• Max Hinne, Alex Lenkoski, Tom Heskes, and Marcel van Gerven. Efficient sampling of Gaussian graphical models using conditional Bayes factors. Stat, 3(1):326-336, 2014.
  

  @ARTICLE{hinne2014,
  AUTHOR = {Hinne, Max and Lenkoski, Alex and Heskes, Tom and van Gerven, Marcel},
  TITLE = {Efficient sampling of Gaussian graphical models using conditional Bayes factors},
  JOURNAL = {Stat},
  VOLUME = {3},
  NUMBER = {1},
  ISSN = {2049-1573},
  URL = {http://dx.doi.org/10.1002/sta4.66},
  PAGES = {326-336},
  YEAR = {2014} 
  }
  

• Ronald Janssen, Max Hinne, Tom Heskes, and Marcel van Gerven. Quantifying uncertainty in brain network measures using Bayesian connectomics. Frontiers in Computational Neuroscience, 8(126), 2014.
  

  @ARTICLE{janssen2014,
  AUTHOR = {Ronald Janssen and Max Hinne and Tom Heskes and Marcel van Gerven},
  TITLE = {Quantifying uncertainty in brain network measures using {B}ayesian connectomics},
  JOURNAL = {Frontiers in Computational Neuroscience},
  VOLUME = {8},
  YEAR = {2014},
  NUMBER = {126},
  PDF = {http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00126/pdf},
  URL = {http://dx.doi.org/10.3389/fncom.2014.00126} 
  }
  

• Frank Koopmans, Niels Cornelisse, Tom Heskes, and Tjeerd Dijkstra. An empirical Bayesian random censoring threshold model improves detection of differentially abundant proteins. Journal of Proteome Research, 13:3871-3880, 2014.
  

  @ARTICLE{koopmans2014,
  AUTHOR = {Frank Koopmans and Niels Cornelisse and Tom Heskes and Tjeerd Dijkstra},
  TITLE = {An empirical {B}ayesian random censoring threshold model improves detection of differentially abundant proteins},
  JOURNAL = {Journal of Proteome Research},
  VOLUME = 13,
  PAGES = {3871-3880},
  URL = {http://dx.doi.org/10.1021/pr500171u},
  YEAR = 2014 
  }
  

Conference articles

• Adriana Birlutiu and Tom Heskes. Using Topology Information for Protein-Protein Interaction Prediction. In Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, and Jagath Rajapakse, editors, Pattern Recognition in Bioinformatics, volume 8626 of Lecture Notes in Computer Science, pages 10-22, 2014. Springer International Publishing.
  

  @INPROCEEDINGS{birlutiu2014a,
  YEAR = {2014},
  ISBN = {978-3-319-09191-4},
  BOOKTITLE = {Pattern Recognition in Bioinformatics},
  VOLUME = {8626},
  SERIES = {Lecture Notes in Computer Science},
  EDITOR = {Comin, Matteo and K{\"a}ll, Lukas and Marchiori, Elena and Ngom, Alioune and Rajapakse, Jagath},
  TITLE = {Using Topology Information for Protein-Protein Interaction Prediction},
  URL = {http://dx.doi.org/10.1007/978-3-319-09192-1_2},
  PUBLISHER = {Springer International Publishing},
  AUTHOR = {Birlutiu, Adriana and Heskes, Tom},
  PAGES = {10-22} 
  }
  

• Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude, and Tom Heskes. Unsupervised feature learning for visual sign language identification. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland, pages 370-376, 2014. Association for Computational Linguistics.
  

  @INPROCEEDINGS{gebre2014b,
  YEAR = 2014,
  TITLE = {Unsupervised feature learning for visual sign language identification},
  AUTHORS = {Binyam Gebrekidan Gebre and Onno Crasborn and Peter Wittenburg and Sebastian Drude and Tom Heskes},
  BOOKTITLE = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics},
  PUBLISHER = {Redhook, NY: Curran Proceedings},
  PAGES = {370-376},
  PDF = {http://www.aclweb.org/anthology/P/P14/P14-2061.pdf},
  ADDRESS = {Baltimore, Maryland},
  PUBLISHER = {Association for Computational Linguistics},
  URL = {http://www.aclweb.org/anthology/P14-2061} 
  }
  

• Binyam Gebrekidan Gebre, Peter Wittenburg, Sebastian Drude, Marijn Huijbregts, and Tom Heskes. Speaker diarization using gesture and speech. In Proceedings of Interspeech 2014: 15th Annual Conference of the International Speech Communication Association, 2014.
  

  @INPROCEEDINGS{gebre2014c,
  YEAR = 2014,
  TITLE = {Speaker diarization using gesture and speech},
  AUTHORS = {Binyam Gebrekidan Gebre and Peter Wittenburg and Sebastian Drude and Marijn Huijbregts and Tom Heskes},
  BOOKTITLE = {Proceedings of Interspeech 2014: 15th Annual Conference of the International Speech Communication Association} 
  }
  

• Binyam Gebrekidan Gebre, Peter Wittenburg, Tom Heskes, and Sebastian Drude. Motion history images for online speaker/signer diarization. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pages 1537-1541, 2014.
  

  @INPROCEEDINGS{gebre2014a,
  YEAR = 2014,
  AUTHOR = {Binyam Gebrekidan Gebre and Peter Wittenburg and Tom Heskes and Sebastian Drude},
  TITLE = {Motion history images for online speaker/signer diarization},
  BOOKTITLE = {Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
  URL = {http://dx.doi.org/10.1109/ICASSP.2014.6853855},
  PAGES = {1537-1541},
  PDF = {http://pubman.mpdl.mpg.de/pubman/item/escidoc:1914038:8/component/escidoc:1914037/paper.pdf} 
  }
  

• Perry Groot, Markus Peters, Tom Heskes, and Wolfgang Ketter. Fast Laplace approximation for Gaussian processes with a tensor product kernel. In Proceedings of BNAIC 2014, pages 41-48, 2014.
  

  @INPROCEEDINGS{groot2014,
  AUTHOR = {Perry Groot and Markus Peters and Tom Heskes and Wolfgang Ketter},
  TITLE = {Fast Laplace approximation for Gaussian processes with a tensor product kernel},
  BOOKTITLE = {Proceedings of BNAIC 2014},
  PAGES = {41-48},
  YEAR = 2014 
  }
  

• Mike Koeman and Tom Heskes. Mutual information estimation with random forests. In ChuKiong Loo, KeemSiah Yap, KokWai Wong, Andrew Teoh, and Kaizhu Huang, editors, Neural Information Processing, volume 8835 of Lecture Notes in Computer Science, pages 524-531, 2014. Springer International Publishing.
  

  @INPROCEEDINGS{koeman2014,
  YEAR = 2014,
  TITLE = {Mutual information estimation with random forests},
  AUTHORS = {Mike Koeman and Tom Heskes},
  BOOKTITLE = {Neural Information Processing},
  VOLUME = {8835},
  SERIES = {Lecture Notes in Computer Science},
  EDITOR = {Loo, ChuKiong and Yap, KeemSiah and Wong, KokWai and Teoh, Andrew and Huang, Kaizhu},
  URL = {http://dx.doi.org/10.1007/978-3-319-12640-1_63},
  PUBLISHER = {Springer International Publishing},
  PAGES = {524-531} 
  }
  

• Ridho Rahmadi, Perry Groot, and Tom Heskes. Stable specification searches in structural equation modeling using multi-objective evolutionary algorithm. In Proceedings of SNATI 2014, 2014.
  

  @INPROCEEDINGS{rahmadi2014,
  YEAR = 2014,
  TITLE = {Stable specification searches in structural equation modeling using multi-objective evolutionary algorithm},
  AUTHORS = {Ridho Rahmadi and Perry Groot and Tom Heskes},
  BOOKTITLE = {Proceedings of SNATI 2014} 
  }
  

• Sanne Schoenmakers, Marcel van Gerven, and Tom Heskes. Gaussian mixture models improve fMRI-based image reconstruction. In Pattern Recognition in Neuroimaging, 2014 International Workshop on, pages 1-4, 2014.
  

  @INPROCEEDINGS{schoenmakers2014,
  YEAR = 2014,
  TITLE = {Gaussian mixture models improve f{MRI}-based image reconstruction},
  AUTHORS = {Sanne Schoenmakers and Marcel van Gerven and Tom Heskes},
  BOOKTITLE = {Pattern Recognition in Neuroimaging, 2014 International Workshop on},
  URL = {http://dx.doi.org/10.1109/PRNI.2014.6858542},
  PDF = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6858542},
  PAGES = {1-4} 
  }
  

• Elena Sokolova, Perry Groot, Tom Claassen, and Tom Heskes. Causal discovery from databases with discrete and continuous variables. In Linda van der Gaag and Ad Feelders, editors, Probabilistic Graphical Models, volume 8754 of Lecture Notes in Computer Science, pages 442-457, 2014. Springer International Publishing.
  

  @INPROCEEDINGS{sokolova2014,
  YEAR = 2014,
  TITLE = {Causal discovery from databases with discrete and continuous variables},
  AUTHORS = {Elena Sokolova and Perry Groot and Tom Claassen and Tom Heskes},
  BOOKTITLE = {Probabilistic Graphical Models},
  VOLUME = {8754},
  SERIES = {Lecture Notes in Computer Science},
  EDITOR = {van der Gaag, Linda and Feelders, Ad},
  PAGES = {442-457},
  PUBLISHER = {Springer International Publishing},
  URL = {http://dx.doi.org/10.1007/978-3-319-11433-0_29} 
  }