Niels Cornelisse,
Evgeni Tsivtsivadze,
Marieke Meijer,
Tjeerd Dijkstra,
Tom Heskes,
and Matthijs Verhage.
Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion.
PLOS Computational Biology,
8:e1002450,
2012.
@ARTICLE{cl12, AUTHOR = {Niels Cornelisse and Evgeni Tsivtsivadze and Marieke Meijer and Tjeerd Dijkstra and Tom Heskes and Matthijs Verhage}, TITLE = {Molecular machines in the synapse: overlapping protein sets control distinct steps in neurosecretion}, JOURNAL = {PLOS Computational Biology}, YEAR = 2012, VOLUME = 8, PAGES = {e1002450}, URL = {http://dx.doi.org/10.1371/journal.pcbi.1002450}, PDF = {http://www.ploscompbiol.org/article/fetchObjectAttachment.action?uri=info:doi/10.1371/journal.pcbi.1002450&representation=PDF} }
Marcel van Gerven,
Zenas Chao,
and Tom Heskes.
On the decoding of intracranial data using sparse orthonormalized partial least squares.
Journal of Neural Engineering,
9:026017,
2012.
@ARTICLE{gerven2012a, AUTHOR = {Marcel van Gerven and Zenas Chao and Tom Heskes}, TITLE = {On the decoding of intracranial data using sparse orthonormalized partial least squares}, JOURNAL = {Journal of Neural Engineering}, VOLUME = 9, PAGES = {026017}, YEAR = 2012, URL = {http://dx.doi.org/10.1088/1741-2560/9/2/026017} }
Ali Bahramisharif,
Marcel van Gerven,
Jan-Mathijs Schoffelen,
Zoubin Ghahramani,
and Tom Heskes.
The dynamic beamformer.
In Georg Langs,
Irina Rish,
Moritz Grosse-Wentrup,
and Brian Murphy, editors,
Machine Learning and Interpretation in Neuroimaging,
volume 7263 of Lecture Notes in Computer Science,
pages 148-155,
2012.
Springer Berlin Heidelberg.
@INPROCEEDINGS{bahramisharif2011b, YEAR = {2012}, ISBN = {978-3-642-34712-2}, BOOKTITLE = {Machine Learning and Interpretation in Neuroimaging}, SERIES = {Lecture Notes in Computer Science}, EDITOR = {Langs, Georg and Rish, Irina and Grosse-Wentrup, Moritz and Murphy, Brian}, URL = {10.1007/978-3-642-34713-9_19}, TITLE = {The dynamic beamformer}, URL = {http://dx.doi.org/10.1007/978-3-642-34713-9_19}, PUBLISHER = {Springer Berlin Heidelberg}, VOLUME = 7263, AUTHOR = {Bahramisharif, Ali and Gerven, Marcel van and Schoffelen, Jan-Mathijs and Ghahramani, Zoubin and Heskes, Tom}, PAGES = {148-155} }
Tom Claassen and Tom Heskes.
A Bayesian approach to constraint based causal inference.
In UAI 2012, Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence,
pages 207-216,
2012.
@INPROCEEDINGS{claassen2012, YEAR = 2012, AUTHOR = {Claassen, Tom and Heskes, Tom}, TITLE = {A {B}ayesian approach to constraint based causal inference}, BOOKTITLE = {UAI 2012, Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence}, PAGES = {207-216}, PDF = {http://www.auai.org/uai2012/papers/234.pdf} }
Daniel Kühlwein,
Twan Laarhoven,
Evgeni Tsivtsivadze,
Josef Urban,
and Tom Heskes.
Overview and evaluation of premise selection techniques for large theory mathematics.
In Bernhard Gramlich,
Dale Miller,
and Uli Sattler, editors,
International Joint Conference on Automated Reasoning,
volume 7364 of Lecture Notes in Computer Science,
pages 378-392,
2012.
Springer Berlin Heidelberg.
@INPROCEEDINGS{kuhlwein2012, YEAR = {2012}, BOOKTITLE = {International Joint Conference on Automated Reasoning}, VOLUME = {7364}, SERIES = {Lecture Notes in Computer Science}, EDITOR = {Gramlich, Bernhard and Miller, Dale and Sattler, Uli}, URL = {10.1007/978-3-642-31365-3_30}, TITLE = {Overview and evaluation of premise selection techniques for large theory mathematics}, URL = {http://dx.doi.org/10.1007/978-3-642-31365-3_30}, PUBLISHER = {Springer Berlin Heidelberg}, AUTHOR = {K{\"u}hlwein, Daniel and Laarhoven, Twan and Tsivtsivadze, Evgeni and Urban, Josef and Heskes, Tom}, PAGES = {378-392}, PDF = {http://www.springerlink.com/content/ak12113233488700/fulltext.pdf} }
Tom de Ruijter,
Evgeni Tsivtsivadze,
and Tom Heskes.
Online co-regularized algorithms.
In Jean-Gabriel Ganascia,
Philippe Lenca,
and Jean-Marc Petit, editors,
Discovery Science,
volume 7569 of Lecture Notes in Computer Science,
pages 184-193,
2012.
Springer Berlin Heidelberg.
@INPROCEEDINGS{ruijter2012, YEAR = {2012}, BOOKTITLE = {Discovery Science}, VOLUME = {7569}, SERIES = {Lecture Notes in Computer Science}, EDITOR = {Ganascia, Jean-Gabriel and Lenca, Philippe and Petit, Jean-Marc}, URL = {10.1007/978-3-642-33492-4_16}, TITLE = {Online co-regularized algorithms}, URL = {http://dx.doi.org/10.1007/978-3-642-33492-4_16}, PUBLISHER = {Springer Berlin Heidelberg}, AUTHOR = {Ruijter, Tom de and Tsivtsivadze, Evgeni and Heskes, Tom}, PAGES = {184-193} }
Evgeni Tsivtsivadze,
Katja Hofmann,
and Tom Heskes.
Large scale co-regularized ranking.
In ECAI Workshop on Preference Learning: Problems and Applications in AI,
2012.
@INPROCEEDINGS{tsivtsivadze2012, TITLE = {Large scale co-regularized ranking}, BOOKTITLE = {ECAI Workshop on Preference Learning: Problems and Applications in AI}, YEAR = {2012}, AUTHOR = {Tsivtsivadze, Evgeni and Hofmann, Katja and Heskes, Tom}, PDF = {http://www.ke.tu-darmstadt.de/events/PL-12/papers/09-tsivtsivadze.pdf} }
Hans Wouters,
Marcel van Gerven,
Matthias Treder,
Tom Heskes,
and Ali Bahramisharif.
Covert attention as a paradigm for subject-independent brain-computer interfacing.
In Georg Langs,
Irina Rish,
Moritz Grosse-Wentrup,
and Brian Murphy, editors,
Machine Learning and Interpretation in Neuroimaging,
volume 7263 of Lecture Notes in Computer Science,
pages 156-163,
2012.
Springer Berlin Heidelberg.
@INPROCEEDINGS{wouters2012, YEAR = {2012}, ISBN = {978-3-642-34712-2}, BOOKTITLE = {Machine Learning and Interpretation in Neuroimaging}, SERIES = {Lecture Notes in Computer Science}, EDITOR = {Langs, Georg and Rish, Irina and Grosse-Wentrup, Moritz and Murphy, Brian}, URL = {10.1007/978-3-642-34713-9_20}, TITLE = {Covert attention as a paradigm for subject-independent brain-computer interfacing}, URL = {http://dx.doi.org/10.1007/978-3-642-34713-9_20}, PUBLISHER = {Springer Berlin Heidelberg}, VOLUME = 7263, AUTHOR = {Wouters, Hans and Gerven, Marcel van and Treder, Matthias and Heskes, Tom and Bahramisharif, Ali}, PAGES = {156-163} }