Publications of year 2011

Articles in journal or book chapters

• Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, and Tom Heskes. Co-regularized least-squares for label ranking. In Johannes Fürnkranz and Eyke Hüllermeier, editors, Preference Learning, pages 107-123. Springer, 2011.
  

  @INCOLLECTION{tsivtsivadze10b,
  AUTHOR = {Evgeni Tsivtsivadze and Tapio Pahikkala and Jorma Boberg and Tapio Salakoski and Tom Heskes},
  TITLE = {Co-regularized least-squares for label ranking},
  BOOKTITLE = {Preference Learning},
  EDITOR = {Johannes F{\"u}rnkranz and Eyke H{\"u}llermeier},
  YEAR = {2011},
  PAGES = {107-123},
  PUBLISHER = {Springer},
  URL = {http://www.springer.com/computer/ai/book/978-3-642-14124-9} 
  }
  

• Onno Zoeter and Tom Heskes. Expectation propagation and generalised EP methods for inference in switching Kalman filter models. In David Barber, Ali Taylan Cemgil, and Silvia Chiappa, editors, Probabilistic Methods for Time-Series Analysis, pages 181-207. Cambridge University Press, 2011.
  

  @INCOLLECTION{zoeter2011,
  AUTHOR = {Onno Zoeter and Tom Heskes},
  TITLE = {Expectation propagation and generalised EP methods for inference in switching Kalman filter models},
  BOOKTITLE = {Probabilistic Methods for Time-Series Analysis},
  YEAR = 2011,
  PUBLISHER = {Cambridge University Press},
  EDITOR = {David Barber and Ali Taylan Cemgil and Silvia Chiappa},
  PAGES = {181-207} 
  }
  

• Ali Bahramisharif, Tom Heskes, Ole Jensen, and Marcel van Gerven. Lateralized responses during covert attention are modulated by target eccentricity. Neuroscience Letters, 491:35-39, 2011.
  

  @ARTICLE{bahramisharif2011,
  AUTHOR = {Ali Bahramisharif and Tom Heskes and Ole Jensen and Marcel van Gerven},
  TITLE = {Lateralized responses during covert attention are modulated by target eccentricity},
  JOURNAL = {Neuroscience Letters},
  YEAR = 2011,
  PAGES = {35-39},
  VOLUME = 491,
  URL = {http://dx.doi.org/10.1016/j.neulet.2011.01.003} 
  }
  

• Botond Cseke and Tom Heskes. Approximate marginals in latent Gaussian models. Journal of Machine Learning Research, 12:417-454, 2011.
  

  @ARTICLE{cseke2011a,
  AUTHOR = {Botond Cseke and Tom Heskes},
  TITLE = {Approximate marginals in latent Gaussian models},
  JOURNAL = {Journal of Machine Learning Research},
  VOLUME = 12,
  YEAR = 2011,
  PAGES = {417-454},
  PDF = {http://www.jmlr.org/papers/volume12/cseke11a/cseke11a.pdf},
  URL = {http://jmlr.csail.mit.edu/papers/v12/cseke11a.html} 
  }
  

• Botond Cseke and Tom Heskes. Properties of Bethe free energies and message passing in Gaussian models. Journal of Artificial Intelligence Research, 41:1-24, 2011.
  

  @ARTICLE{cseke2011b,
  AUTHOR = {Botond Cseke and Tom Heskes},
  TITLE = {Properties of Bethe free energies and message passing in Gaussian models},
  JOURNAL = {Journal of Artificial Intelligence Research},
  YEAR = 2011,
  VOLUME = 41,
  PAGES = {1-24},
  URL = {http://www.jair.org/papers/paper3195.html},
  PDF = {http://www.jair.org/media/3195/live-3195-5619-jair.pdf} 
  }
  

• Perry Groot, Tom Heskes, Tjeerd Dijkstra, and James Kates. Predicting preference judgments of individual normal and hearing-impaired listeners with Gaussian processes. IEEE Transactions on Audio, Sound, and Language Processing, 19:811-821, 2011.
  

  @ARTICLE{groot2010b,
  AUTHOR = {Perry Groot and Tom Heskes and Tjeerd Dijkstra and James Kates},
  TITLE = {Predicting preference judgments of individual normal and hearing-impaired listeners with Gaussian processes},
  JOURNAL = {IEEE Transactions on Audio, Sound, and Language Processing},
  VOLUME = 19,
  PAGES = {811-821},
  YEAR = 2011,
  URL = {http://dx.doi.org/10.1109/TASL.2010.2064311},
  PDF = {http://www.cs.ru.nl/~perry/publications/2010/groot10-IEEE.pdf} 
  }
  

• Marcel van Gerven, Peter Kok, Floris de Lange, and Tom Heskes. Dynamic decoding of ongoing perception. NeuroImage, 53:950-957, 2011.
  

  @ARTICLE{gerven2011b,
  AUTHOR = {Marcel van Gerven and Peter Kok and Floris de Lange and Tom Heskes},
  TITLE = {Dynamic decoding of ongoing perception},
  JOURNAL = {NeuroImage},
  VOLUME = 53,
  PAGES = {950-957},
  YEAR = 2011,
  PDF = {http://www.florisdelange.com/files/vanGerven_NIMG2011.pdf},
  URL = {http://dx.doi.org/10.1016/j.neuroimage.2011.05.020} 
  }
  

Conference articles

• Tom Claassen and Tom Heskes. A logical characterization of constraint-based causal discovery. In UAI 2011, Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, pages 135-144, 2011.
  

  @INPROCEEDINGS{claassen2011b,
  AUTHOR = {Tom Claassen and Tom Heskes},
  TITLE = {A logical characterization of constraint-based causal discovery},
  BOOKTITLE = {UAI 2011, Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence},
  YEAR = 2011,
  PAGES = {135-144},
  PDF = {http://www.cs.ru.nl/~tomc/docs/UAI2011_LCCausD.pdf} 
  }
  

• Tom Claassen and Tom Heskes. A structure independent algorithm for causal discovery. In ESANN 2011, pages 309-314, 2011.
  

  @INPROCEEDINGS{claassen2011a,
  TITLE = {A structure independent algorithm for causal discovery},
  AUTHOR = {Tom Claassen and Tom Heskes},
  BOOKTITLE = {ESANN 2011},
  PAGES = {309-314},
  PDF = {http://www.cs.ru.nl/~tomc/docs/ESANN_SIArrwhC.pdf},
  YEAR = {2011} 
  }
  

• Perry Groot, Adriana Birlutiu, and Tom Heskes. Learning from multiple annotators with Gaussian processes. In Lecture Notes in Computer Science, Volume 6792, Artificial Neural Networks and Machine Learning (ICANN 2011), pages 159-164, 2011.
  

  @INPROCEEDINGS{groot2011,
  AUTHOR = {Perry Groot and Adriana Birlutiu and Tom Heskes},
  TITLE = {Learning from multiple annotators with Gaussian processes},
  BOOKTITLE = {Lecture Notes in Computer Science, Volume 6792, Artificial Neural Networks and Machine Learning (ICANN 2011)},
  YEAR = 2011,
  PAGES = {159-164},
  PDF = {http://www.cs.ru.nl/~perry/publications/2011/ICANN2011/groot-icann2011.pdf},
  URL = {http://dx.doi.org/10.1007/978-3-642-21738-8_21} 
  }
  

• Daniel Kühlwein, Evgeni Tsivtsivadze, Josef Urban, and Tom Heskes. Learning semantics for automated reasoning. In Antoine Bordes, Jason Weston, Ronan Collobert, and Leon Bottou, editors, NIPS Workshop on Learning Semantics, 2011.
  

  @INPROCEEDINGS{kh11b,
  AUTHOR = {Daniel K{\"u}hlwein and Evgeni Tsivtsivadze and Josef Urban and Tom Heskes},
  TITLE = {Learning semantics for automated reasoning},
  BOOKTITLE = {NIPS Workshop on Learning Semantics},
  EDITOR = {Antoine Bordes and Jason Weston and Ronan Collobert and Leon Bottou},
  YEAR = {2011},
  URL = {http://learningsemanticsnips2011.files.wordpress.com/2011/10/kuhlwein_tsivtsivadze_urban_heskes.pdf} 
  }
  

• Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, and Tom Heskes. Learning2Reason. In James H. Davenport, William M. Farmer, Josef Urban, and Florian Rabe, editors, Calculemus/MKM, volume 6824 of Lecture Notes in Computer Science, pages 298-300, 2011.
  

  @INPROCEEDINGS{kh11a,
  AUTHOR = {Daniel K{\"u}hlwein and Josef Urban and Evgeni Tsivtsivadze and Herman Geuvers and Tom Heskes},
  TITLE = {Learning2Reason},
  BOOKTITLE = {Calculemus/MKM},
  YEAR = {2011},
  PAGES = {298-300},
  EDITOR = {James H. Davenport and William M. Farmer and Josef Urban and Florian Rabe},
  SERIES = {Lecture Notes in Computer Science},
  VOLUME = {6824},
  YEAR = {2011},
  URL = {http://www.springerlink.com/content/h08t8k1048374761/} 
  }
  

• Daniel Kühlwein, Josef Urban, Evgeni Tsivtsivadze, Herman Geuvers, and Tom Heskes. Multi-output ranking for automated reasoning. In International Conference on Knowledge Discovery and Information Retrieval, 2011.
  

  @INPROCEEDINGS{kh11c,
  AUTHOR = {Daniel K{\"u}hlwein and Josef Urban and Evgeni Tsivtsivadze and Herman Geuvers and Tom Heskes},
  TITLE = {Multi-output ranking for automated reasoning},
  BOOKTITLE = {International Conference on Knowledge Discovery and Information Retrieval},
  YEAR = {2011},
  URL = {http://www.cs.ru.nl/~kuehlwein/preprints/kdir11.pdf} 
  }
  

• Joris Mooij, Dominik Janzing, Tom Heskes, and Bernhard Schölkopf. On causal discovery with cyclic additive noise models. In Advances in Neural Information Processing Systems 24 (NIPS*2011), pages 639-647, 2011.
  

  @INPROCEEDINGS{Mooij_et_al_NIPS_11,
  AUTHOR = {Joris Mooij and Dominik Janzing and Tom Heskes and Bernhard Sch{\"o}lkopf},
  TITLE = {On causal discovery with cyclic additive noise models},
  BOOKTITLE = {{A}dvances in {N}eural {I}nformation {P}rocessing {S}ystems 24 ({NIPS}*2011)},
  EDITOR = {},
  PAGES = {639-647},
  YEAR = {2011},
  PDF = {http://books.nips.cc/papers/files/nips24/NIPS2011_0449.pdf} 
  }
  

• John Quinn, Joris Mooij, Tom Heskes, and Michael Biehl. Learning of causal relations. In ESANN 2011, pages 287-296, 2011.
  

  @INPROCEEDINGS{quinn2011a,
  TITLE = {Learning of causal relations},
  AUTHOR = {John Quinn and Joris Mooij and Tom Heskes and Michael Biehl},
  BOOKTITLE = {ESANN 2011},
  PAGES = {287-296},
  PDF = {http://www.cit.mak.ac.ug/staff/jquinn/papers/ESANN11_LearningCausalRelations.pdf},
  YEAR = {2011} 
  }
  

• Evgeni Tsivtsivadze, Josef Urban, Herman Geuvers, and Tom Heskes. Semantic graph kernels for automated reasoning. In Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, pages 795-803, 2011. SIAM / Omnipress.
  

  @INPROCEEDINGS{tsivtsiv2011,
  AUTHOR = {Evgeni Tsivtsivadze and Josef Urban and Herman Geuvers and Tom Heskes},
  TITLE = {Semantic graph kernels for automated reasoning},
  BOOKTITLE = {Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011},
  PAGES = {795-803},
  PUBLISHER = {SIAM / Omnipress},
  YEAR = 2011,
  PDF = {http://siam.omnibooksonline.com/2011datamining/data/papers/231.pdf} 
  }
  

• Marcel van Gerven, Eric Maris, and Tom Heskes. Markov random field approach to neural encoding and decoding. In Lecture Notes in Computer Science, Volume 6792, Artificial Neural Networks and Machine Learning, ICANN 2011, pages 1-8, 2011.
  

  @INPROCEEDINGS{gerven2011a,
  AUTHOR = {Marcel van Gerven and Eric Maris and Tom Heskes},
  TITLE = {Markov random field approach to neural encoding and decoding},
  BOOKTITLE = {Lecture Notes in Computer Science, Volume 6792, Artificial Neural Networks and Machine Learning, ICANN 2011},
  URL = {http://dx.doi.org/10.1007/978-3-642-21738-8_1},
  PAGES = {1-8},
  YEAR = 2011 
  }