Adriana Birlutiu,
Florence d'Alché-Buc,
and Tom Heskes.
A Bayesian framework for combining protein and network topology information for predicting protein-protein interactions.
IEEE/ACM Transactions on Computational Biology and Bioinformatics,
12:538-550,
2015.
@ARTICLE{birlutiu2015,
AUTHOR = {Adriana Birlutiu and Florence d'Alch{\'e}-Buc and Tom Heskes},
TITLE = {A {B}ayesian framework for combining protein and network topology information for predicting protein-protein interactions},
JOURNAL = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
YEAR = 2015,
VOLUME = 12,
PAGES = {538-550},
URL = {http://dx.doi.org/10.1109/TCBB.2014.2359441}
}
Max Hinne,
Matthias Ekman,
Ronald Janssen,
Tom Heskes,
and Marcel van Gerven.
Probabilistic clustering of the human connectome identifies communities and hubs.
PLOS ONE,
10(1):e0117179,
2015.
@ARTICLE{hinne2015,
AUTHOR = {Hinne, Max and Ekman, Matthias and Janssen, Ronald and Heskes, Tom and van Gerven, Marcel},
TITLE = {Probabilistic clustering of the human connectome identifies communities and hubs},
JOURNAL = {PLOS ONE},
URL = {http://dx.doi.org/10.1371/journal.pone.0117179},
PDF = {http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0117179&representation=PDF},
PAGES = {e0117179},
VOLUME = 10,
NUMBER = 1,
YEAR = {2015}
}
Max Hinne,
Ronald Janssen,
Tom Heskes,
and Marcel van Gerven.
Bayesian estimation of conditional independence graphs improves functional connectivity estimates.
PLOS Computational Biology,
11(11):e1004534,
2015.
@ARTICLE{hinne2015b,
AUTHOR = {Hinne, Max and Janssen, Ronald, and Heskes, Tom and van Gerven, Marcel},
YEAR = 2015,
TITLE = {Bayesian estimation of conditional independence graphs improves functional connectivity estimates},
JOURNAL = {PLOS Computational Biology},
VOLUME = 11,
NUMBER = 11,
PAGES = {e1004534},
URL = {http://dx.doi.org/10.1371/journal.pcbi.1004534}
}
Sanne Schoenmakers,
Umut Güçlü,
Marcel van Gerven,
and Tom Heskes.
Gaussian mixture models and semantic gating improve reconstructions from human brain activity.
Frontiers in Computational Neuroscience,
8(173),
2015.
@ARTICLE{schoenmakers2015,
AUTHOR = {Sanne Schoenmakers and Umut G{\"{u}}{\c{c}}l{\"{u}} and Marcel van Gerven and Tom Heskes},
TITLE = {Gaussian mixture models and semantic gating improve reconstructions from human brain activity},
JOURNAL = {Frontiers in Computational Neuroscience},
VOLUME = {8},
YEAR = {2015},
NUMBER = {173},
PDF = {http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00173/pdf},
URL = {http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2014.00173/abstract}
}
Elena Sokolova,
Martine Hoogman,
Perry Groot,
Tom Claassen,
Alejandro Arias Vasquez,
Jan Buitelaar,
Barbara Franke,
and Tom Heskes.
Causal discovery in an adult ADHD data set suggests indirect link between DAT1 genetic variants and striatal brain activation during reward processing.
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics,
9999B:1-8,
2015.
@ARTICLE{sokolova2015a,
AUTHOR = {Sokolova, Elena and Hoogman, Martine and Groot, Perry and Claassen, Tom and Vasquez, Alejandro Arias and Buitelaar, Jan and Franke, Barbara and Heskes, Tom},
TITLE = {Causal discovery in an adult ADHD data set suggests indirect link between DAT1 genetic variants and striatal brain activation during reward processing},
JOURNAL = {American Journal of Medical Genetics Part B: Neuropsychiatric Genetics},
VOLUME = {9999B},
PAGES = {1-8},
URL = {http://dx.doi.org/10.1002/ajmg.b.32310},
YEAR = {2015}
}
Christiaan de Leeuw,
Joris Mooij,
Tom Heskes,
and Danielle Posthuma.
MAGMA: Generalized Gene-Set Analysis of GWAS Data.
PLOS Computational Biology,
11(4):e1004219,
2015.
@ARTICLE{leeuw2015magma,
TITLE = {MAGMA: Generalized Gene-Set Analysis of GWAS Data},
AUTHOR = {de Leeuw, Christiaan and Mooij, Joris and Heskes, Tom and Posthuma, Danielle},
JOURNAL = {PLOS Computational Biology},
URL = {http://dx.doi.org/10.1371/journal.pcbi.1004219},
PDF = {http://www.ploscompbiol.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pcbi.1004219&representation=PDF},
PAGES = {e1004219},
VOLUME = 11,
NUMBER = 4,
YEAR = {2015}
}
Fabian Gieseke,
Tapio Pahikkala,
and Tom Heskes.
Batch steepest-descent-mildest-ascent for interactive maximum margin clustering.
In Elisa Fromont,
Tijl De Bie,
and Matthijs van Leeuwen, editors,
Advances in Intelligent Data Analysis XIV,
volume 9385 of Lecture Notes in Computer Science,
pages 95-107,
2015.
Springer International Publishing.
@INPROCEEDINGS{gieseke2015,
YEAR = 2015,
AUTHOR = {Gieseke, Fabian and Pahikkala, Tapio and Heskes, Tom},
TITLE = {Batch steepest-descent-mildest-ascent for interactive maximum margin clustering},
BOOKTITLE = {Advances in Intelligent Data Analysis XIV},
VOLUME = {9385},
SERIES = {Lecture Notes in Computer Science},
EDITOR = {Fromont, Elisa and De Bie, Tijl and van Leeuwen, Matthijs},
URL = {http://dx.doi.org/10.1007/978-3-319-24465-5_9},
PUBLISHER = {Springer International Publishing},
PAGES = {95-107}
}
Thomas Grubinger,
Adriana Birlutiu,
Holger Schöner,
Thomas Natschläger,
and Tom Heskes.
Domain Generalization Based on Transfer Component Analysis.
In Ignacio Rojas,
Gonzalo Joya,
and Andreu Catala, editors,
Advances in Computational Intelligence,
volume 9094 of Lecture Notes in Computer Science,
pages 325-334,
2015.
Springer International Publishing.
@INPROCEEDINGS{grubinger2015,
YEAR = {2015},
ISBN = {978-3-319-19257-4},
BOOKTITLE = {Advances in Computational Intelligence},
VOLUME = {9094},
SERIES = {Lecture Notes in Computer Science},
EDITOR = {Rojas, Ignacio and Joya, Gonzalo and Catala, Andreu},
TITLE = {Domain Generalization Based on Transfer Component Analysis},
URL = {http://dx.doi.org/10.1007/978-3-319-19258-1_28},
PUBLISHER = {Springer International Publishing},
AUTHOR = {Grubinger, Thomas and Birlutiu, Adriana and Sch{\"o}ner, Holger and Natschl{\"a}ger, Thomas and Heskes, Tom},
PAGES = {325-334}
}
Ridho Rahmadi,
Perry Groot,
Marianne Heins,
Hans Knoop,
and Tom Heskes.
Causality on longitudinal data: stable specification search in constrained structural equation modeling.
In Proceedings 1st International Workshop on Advanced Analytics and Learning on Temporal Data AALTD 2015,
2015.
@INPROCEEDINGS{rahmadi2015,
YEAR = 2015,
AUTHOR = {Rahmadi, Ridho and Groot, Perry and Heins, Marianne and Knoop, Hans and Heskes, Tom},
TITLE = {Causality on longitudinal data: stable specification search in constrained structural equation modeling},
BOOKTITLE = {Proceedings 1st International Workshop on Advanced Analytics and Learning on Temporal Data AALTD 2015},
URL = {http://ceur-ws.org/Vol-1425/paper14.pdf}
}
Sanne Schoenmakers,
Tom Heskes,
and Marcel van Gerven.
Hidden Markov models for reading words from the human brain.
In Pattern Recognition in NeuroImaging (PRNI), 2015 International Workshop on,
pages 89-92,
2015.
@INPROCEEDINGS{schoenmakers2015,
YEAR = 2015,
BOOKTITLE = {Pattern Recognition in NeuroImaging (PRNI), 2015 International Workshop on},
PAGES = {89-92},
URL = {http://dx.doi.org/10.1109/PRNI.2015.31},
TITLE = {Hidden {M}arkov models for reading words from the human brain},
AUTHORS = {Sanne Schoenmakers and Tom Heskes and Marcel van Gerven}
}
Elena Sokolova,
Perry Groot,
Tom Claassen,
Daniel von Rhein,
Jan Buitelaar,
and Tom Heskes.
Causal discovery from medical data: dealing with missing values and a mixture of discrete and continuous data.
In John H. Holmes,
Riccardo Bellazzi,
Lucia Sacchi,
and Niels Peek, editors,
Artificial Intelligence in Medicine,
volume 9105 of Lecture Notes in Computer Science,
pages 177-181,
2015.
Springer International Publishing.
@INPROCEEDINGS{sokolova2015b,
YEAR = {2015},
ISBN = {978-3-319-19550-6},
BOOKTITLE = {Artificial Intelligence in Medicine},
VOLUME = {9105},
SERIES = {Lecture Notes in Computer Science},
EDITOR = {Holmes, John H. and Bellazzi, Riccardo and Sacchi, Lucia and Peek, Niels},
TITLE = {Causal discovery from medical data: dealing with missing values and a mixture of discrete and continuous data},
URL = {http://dx.doi.org/10.1007/978-3-319-19551-3_23},
PUBLISHER = {Springer International Publishing},
AUTHOR = {Sokolova, Elena and Groot, Perry and Claassen, Tom and von Rhein, Daniel and Buitelaar, Jan and Heskes, Tom},
PAGES = {177-181}
}
Laurens Wiel,
Tom Heskes,
and Evgeni Levin.
KeCo: kernel-based online co-agreement algorithm.
In Nathalie Japkowicz and Stan Matwin, editors,
Discovery Science,
volume 9356 of Lecture Notes in Computer Science,
pages 308-315,
2015.
Springer International Publishing.
@INPROCEEDINGS{wiel2015,
YEAR = {2015},
ISBN = {978-3-319-24281-1},
BOOKTITLE = {Discovery Science},
VOLUME = {9356},
SERIES = {Lecture Notes in Computer Science},
EDITOR = {Japkowicz, Nathalie and Matwin, Stan},
TITLE = {KeCo: kernel-based online co-agreement algorithm},
URL = {http://dx.doi.org/10.1007/978-3-319-24282-8_26},
PUBLISHER = {Springer International Publishing},
AUTHOR = {Wiel, Laurens and Heskes, Tom and Levin, Evgeni},
PAGES = {308-315}
}