Botond Cseke,
Andrew Zammit-Mangion,
Tom Heskes,
and Guido Sanguinetti.
Sparse approximate inference for spatio-temporal point process models.
Journal of the American Statistical Association,
111(516):1746-1763,
2016.
@ARTICLE{cseke2016,
AUTHOR = {Botond Cseke and Andrew Zammit-Mangion and Tom Heskes and Guido Sanguinetti},
TITLE = {Sparse approximate inference for spatio-temporal point process models},
JOURNAL = {Journal of the American Statistical Association},
VOLUME = {111},
NUMBER = {516},
PAGES = {1746-1763},
YEAR = {2016},
URL = {http://dx.doi.org/10.1080/01621459.2015.1115357}
}
Mohsen Ghafoorian,
Nico Karssemeijer,
Inge van Uden,
Frank Erik de Leeuw,
Tom Heskes,
Elena Marchiori,
and Bram Platel.
Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease.
Medical Physics,
43:6246,
2016.
@ARTICLE{ghafoorian16a,
AUTHOR = {Mohsen Ghafoorian and Nico Karssemeijer and Inge van Uden and Frank Erik de Leeuw and Tom Heskes and Elena Marchiori and Bram Platel},
TITLE = {Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease},
JOURNAL = {Medical Physics},
VOLUME = 43,
PAGES = {6246},
YEAR = {2016},
URL = {http://dx.doi.org/10.1118/1.4966029}
}
Elena Sokolova,
Perry Groot,
Tom Claassen,
Kimm van Hulzen,
Jeffrey Glennon,
Barbara Franke,
Tom Heskes,
and Jan Buitelaar.
Statistical evidence suggests that inattention drives hyperactivity/impulsivity in attention deficit-hyperactivity disorder.
PLOS ONE,
11(10):e0165120,
2016.
@ARTICLE{sokolova2016b,
YEAR = 2016,
JOURNAL = {PLOS ONE},
AUTHOR = {Elena Sokolova and Perry Groot and Tom Claassen and Kimm van Hulzen and Jeffrey Glennon and Barbara Franke and Tom Heskes and Jan Buitelaar},
TITLE = {Statistical evidence suggests that inattention drives hyperactivity/impulsivity in attention deficit-hyperactivity disorder},
VOLUME = 11,
NUMBER = 10,
PAGES = {e0165120},
URL = {http://dx.doi.org/10.1371/journal.pone.0165120}
}
Bram Thijssen,
Tjeerd Dijkstra,
Tom Heskes,
and Lodewyk Wessels.
BCM: toolkit for Bayesian analysis of Computational Models using samplers.
BMC Systems Biology,
10(1):100,
2016.
@ARTICLE{thijssen2016,
YEAR = 2016,
JOURNAL = {BMC Systems Biology},
AUTHOR = {Bram Thijssen and Tjeerd Dijkstra and Tom Heskes and Lodewyk Wessels},
TITLE = {{BCM}: toolkit for {B}ayesian analysis of {C}omputational {M}odels using samplers},
VOLUME = {10},
NUMBER = {1},
PAGES = {100},
URL = {http://dx.doi.org/10.1186/s12918-016-0339-3}
}
Christiaan de Leeuw,
Benjamin Neale,
Tom Heskes,
and Danielle Posthuma.
The statistical properties of gene-set analysis.
Nature Review Genetics,
17:353-364,
2016.
@ARTICLE{deleeuw2016,
YEAR = 2016,
JOURNAL = {Nature Review Genetics},
AUTHOR = {de Leeuw, Christiaan and Neale, Benjamin and Heskes, Tom and Posthuma, Danielle},
TITLE = {The statistical properties of gene-set analysis},
VOLUME = 17,
PAGES = {353-364},
URL = {http://dx.doi.org/10.1038/nrg.2016.29}
}
Harm Berntsen,
Wouter Kuijper,
and Tom Heskes.
The artificial mind's eye: resisting adversarials for convolutional neural networks using internal projection.
In Proceedings of the Workshop New Challenges in Neural Computation (NC2) 2016,
2016.
@INPROCEEDINGS{berntsenKH16,
AUTHOR = {Harm Berntsen and Wouter Kuijper and Tom Heskes},
TITLE = {The artificial mind's eye: resisting adversarials for convolutional neural networks using internal projection},
BOOKTITLE = {Proceedings of the Workshop New Challenges in Neural Computation (NC2) 2016},
YEAR = {2016},
URL = {https://arxiv.org/abs/1604.04428}
}
Ruifei Cui,
Perry Groot,
and Tom Heskes.
Copula PC algorithm for causal discovery from mixed data.
In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings, Part II,
pages 377-392,
2016.
@INPROCEEDINGS{cuiGH16,
AUTHOR = {Ruifei Cui and Perry Groot and Tom Heskes},
TITLE = {Copula {PC} algorithm for causal discovery from mixed data},
BOOKTITLE = {Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2016, Proceedings, Part {II}},
PAGES = {377-392},
YEAR = {2016},
URL = {http://dx.doi.org/10.1007/978-3-319-46227-1_24}
}
Mohsen Ghafoorian,
Nico Karssemeijer,
Tom Heskes,
Inge van Uden,
Frank Erik de Leeuw,
Elena Marchiori,
Bram van Ginneken,
and Bram Platel.
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.
In 2016 IEEE 13th International Symposium on Biomedical Imaging ISBI,
pages 1414-1417,
2016.
@INPROCEEDINGS{ghafoorianKHULM16,
AUTHOR = {Mohsen Ghafoorian and Nico Karssemeijer and Tom Heskes and Inge van Uden and Frank Erik de Leeuw and Elena Marchiori and Bram van Ginneken and Bram Platel},
TITLE = {Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation},
BOOKTITLE = {2016 IEEE 13th International Symposium on Biomedical Imaging {ISBI}},
PAGES = {1414-1417},
YEAR = {2016},
URL = {http://dx.doi.org/10.1109/ISBI.2016.7493532}
}
Stefan Leijnen,
Tom Heskes,
and Terrence Deacon.
Exploring constraint: simulating self-organization and autogenesis in the autogenic automaton.
In Proceedings of the Artificial Life Conference 2016,
pages 68-75,
2016.
@INPROCEEDINGS{leijnen2016,
AUTHOR = {Leijnen, Stefan, and Heskes, Tom and Deacon, Terrence},
TITLE = {Exploring constraint: simulating self-organization and autogenesis in the autogenic automaton},
BOOKTITLE = {Proceedings of the Artificial Life Conference 2016},
PAGES = {68-75},
URL = {http://www.informationphilosopher.com/solutions/scientists/deacon/Deacon_Exploring_Constraint.pdf},
YEAR = {2016}
}
Elena Sokolova,
Martine Hoogman,
Perry Groot,
Tom Claassen,
and Tom Heskes.
Computing lower and upper bounds on the probability of causal statements.
In Proceedings of the Eighth International Conference on Probabilistic Graphical Models,
pages 487-498,
2016.
@INPROCEEDINGS{sokolovaHGCH16,
AUTHOR = {Elena Sokolova and Martine Hoogman and Perry Groot and Tom Claassen and Tom Heskes},
TITLE = {Computing lower and upper bounds on the probability of causal statements},
BOOKTITLE = {Proceedings of the Eighth International Conference on Probabilistic Graphical Models},
PAGES = {487-498},
YEAR = {2016},
URL = {http://jmlr.org/proceedings/papers/v52/sokolova16.html}
}
Koen Vijverberg,
Mohsen Ghafoorian,
Inge van Uden,
Frank-Erik de Leeuw,
Bram Platel,
and Tom Heskes.
A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation.
In Proc. SPIE,
volume 9785,
pages 97851C-97851C-7,
2016.
@INPROCEEDINGS{vijverberg2016,
AUTHOR = {Vijverberg, Koen and Ghafoorian, Mohsen and van Uden, Inge and de Leeuw, Frank-Erik and Platel, Bram and Heskes, Tom},
TITLE = {A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation},
BOOKTITLE = {Proc. SPIE},
VOLUME = {9785},
PAGES = {97851C-97851C-7},
YEAR = {2016},
URL = {http://dx.doi.org/10.1117/12.2216409}
}