Ali Bahramisharif,
Marcel van Gerven,
Tom Heskes,
and Ole Jensen.
Covert attention allows for continuous control of brain-computer interfaces.
European Journal of Neuroscience,
31:1501-1508,
2010.
@ARTICLE{bahramisharif10covert,
AUTHOR = {Ali Bahramisharif and Marcel van Gerven and Tom Heskes and Ole Jensen},
JOURNAL = {European Journal of Neuroscience},
TITLE = {Covert attention allows for continuous control of brain-computer interfaces},
YEAR = {2010},
VOLUME = 31,
PAGES = {1501-1508},
URL = {http://dx.doi.org/10.1111/j.1460-9568.2010.07174.x}
}
Adriana Birlutiu,
Perry Groot,
and Tom Heskes.
Multi-task preference learning with an application to hearing aid personalization.
Neurocomputing,
73:1177-1185,
2010.
@ARTICLE{birlutiu2010a,
AUTHOR = {Adriana Birlutiu and Perry Groot and Tom Heskes},
TITLE = {Multi-task preference learning with an application to hearing aid personalization},
JOURNAL = {Neurocomputing},
YEAR = 2010,
VOLUME = 73,
PAGES = {1177-1185},
URL = {http://dx.doi.org/10.1016/j.neucom.2009.11.025}
}
Marcel van Gerven,
Botond Cseke,
Floris de Lange,
and Tom Heskes.
Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior.
NeuroImage,
50:150-161,
2010.
@ARTICLE{gerven2010a,
AUTHOR = {Marcel van Gerven and Botond Cseke and Floris de Lange and Tom Heskes},
TITLE = {Efficient {B}ayesian multivariate {fMRI} analysis using a sparsifying spatio-temporal prior},
JOURNAL = {NeuroImage},
YEAR = 2010,
VOLUME = 50,
PAGES = {150-161},
URL = {http://dx.doi.org/10.1016/j.neuroimage.2009.11.064}
}
Marcel van Gerven,
Floris de Lange,
and Tom Heskes.
Neural decoding with hierarchical generative models.
Neural Computation,
22:3127-3142,
2010.
@ARTICLE{gerven2010b,
AUTHOR = {Marcel van Gerven and Floris de Lange and Tom Heskes},
TITLE = {Neural decoding with hierarchical generative models},
JOURNAL = {Neural Computation},
YEAR = 2010,
VOLUME = 22,
PAGES = {3127-3142},
URL = {http://dx.doi.org/10.1162/NECO_a_00047}
}
Tom Claassen and Tom Heskes.
Causal discovery in multiple models from different experiments.
In John Lafferty,
Chris Williams,
Richard Zemel,
John Shawe-Taylor,
and Aron Culotta, editors,
Advances in Neural Information Processing Systems 23,
pages 415-423,
2010.
@INPROCEEDINGS{claassen2010b,
TITLE = {Causal discovery in multiple models from different experiments},
AUTHOR = {Tom Claassen and Tom Heskes},
BOOKTITLE = {Advances in Neural Information Processing Systems 23},
EDITOR = {John Lafferty and Chris Williams and Richard Zemel and John Shawe-Taylor and Aron Culotta},
PAGES = {415-423},
YEAR = {2010},
PDF = {http://books.nips.cc/papers/files/nips23/NIPS2010_0764.pdf}
}
Tom Claassen and Tom Heskes.
Learning causal network structure from multiple (in)dependence models.
In Petri Myllymäki,
Teemu Roos,
and Tommi Jaakkola, editors,
Proceedings of PGM 2010,
pages 81-88,
2010.
@INPROCEEDINGS{claassen2010,
AUTHOR = {Tom Claassen and Tom Heskes},
TITLE = {Learning causal network structure from multiple (in)dependence models},
BOOKTITLE = {Proceedings of PGM 2010},
YEAR = 2010,
EDITOR = {Petri Myllym{\"a}ki and Teemu Roos and Tommi Jaakkola},
PAGES = {81-88},
PDF = {http://www.helsinki.fi/pgm2010/papers/claassen.pdf}
}
Botond Cseke and Tom Heskes.
Improving posterior marginal approximations in latent Gaussian models.
In Yee Whye Teh and Mike Titterington, editors,
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics,
pages 121-128,
2010.
JMLR Workshop and Conference Proceedings.
@INPROCEEDINGS{cseke10,
AUTHOR = {Botond Cseke and Tom Heskes},
TITLE = {Improving posterior marginal approximations in latent Gaussian models},
BOOKTITLE = {Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics},
EDITOR = {Yee Whye Teh and Mike Titterington},
YEAR = {2010},
PAGES = {121-128},
PUBLISHER = {JMLR Workshop and Conference Proceedings},
PDF = {http://jmlr.csail.mit.edu/proceedings/papers/v9/cseke10a/cseke10a.pdf}
}
Perry Groot,
Adriana Birlutiu,
and Tom Heskes.
Bayesian Monte Carlo for the global optimization of expensive functions.
In Helder Coelho,
Rudi Studer,
and Michael Wooldridge, editors,
Proceedings of ECAI,
pages 249-254,
2010.
@INPROCEEDINGS{groot2010a,
AUTHOR = {Perry Groot and Adriana Birlutiu and Tom Heskes},
TITLE = {Bayesian Monte Carlo for the global optimization of expensive functions},
BOOKTITLE = {Proceedings of ECAI},
EDITOR = {Helder Coelho and Rudi Studer and Michael Wooldridge},
PAGES = {249-254},
YEAR = 2010,
PDF = {http://www.cs.ru.nl/~perry/publications/2010/ECAI/groot-ecai2010.pdf}
}
Evgeni Tsivtsivadze and Tom Heskes.
Sparse preference learning.
In Irina Rish,
Alexandru Niculescu-Mizil,
Guillermo Cecchi,
and Aurelie Lozano, editors,
NIPS Workshop on Practical Application of Sparse Modeling: Open Issues and New Directions,
2010.
@INPROCEEDINGS{ts10a,
AUTHOR = {Evgeni Tsivtsivadze and Tom Heskes},
TITLE = {Sparse preference learning},
BOOKTITLE = {NIPS Workshop on Practical Application of Sparse Modeling: Open Issues and New Directions},
EDITOR = {Irina Rish and Alexandru Niculescu-Mizil and Guillermo Cecchi and Aurelie Lozano},
YEAR = {2010},
PDF = {https://sites.google.com/site/nips10sparsews/schedule/papers/EvgeniTsivtsivadze.pdf}
}
Florence d'Alché-Buc,
Adriana Birlutiu,
Celine Brouard,
Tom Heskes,
and Marie Szafranski.
Regularized output kernel regression for protein-protein interaction prediction: application to link transfer and transduction.
In Machine Learning in Computational Biology,
2010.
@INPROCEEDINGS{alche2010,
AUTHOR = {Florence d'Alch{\'e}-Buc and Adriana Birlutiu and Celine Brouard and Tom Heskes and Marie Szafranski},
TITLE = {Regularized output kernel regression for protein-protein interaction prediction: application to link transfer and transduction},
BOOKTITLE = {Machine Learning in Computational Biology},
YEAR = {2010},
PDF = {http://www.cs.ru.nl/~adrianab/nips_workshop10-2.pdf}
}
Marcel van Gerven and Tom Heskes.
Sparse orthonormalized partial least squares.
In BNAIC 2010,
2010.
@INPROCEEDINGS{gerven2010c,
AUTHOR = {Marcel van Gerven and Tom Heskes},
TITLE = {Sparse orthonormalized partial least squares},
BOOKTITLE = {BNAIC 2010},
YEAR = 2010,
PDF = {http://bnaic2010.uni.lu/Papers/Category A/Gerven.pdf}
}
Marcel van Gerven,
Floris de Lange,
and Tom Heskes.
A hierarchical generative model for percept reconstruction.
In Human Brain Mapping,
2010.
@INPROCEEDINGS{gerven2010a,
AUTHOR = {Marcel van Gerven and Floris de Lange and Tom Heskes},
TITLE = {A hierarchical generative model for percept reconstruction},
BOOKTITLE = {Human Brain Mapping},
YEAR = 2010
}