Niels Landwehr
Niels Landwehr
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Logistic model trees
N Landwehr, M Hall, E Frank
Machine learning 59 (1-2), 161-205, 2005
kFOIL: Learning simple relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Aaai 6, 389-394, 2006
nFOIL: Integrating naıve bayes and FOIL
N Landwehr, K Kersting, L De Raedt
Proceedings of the twentieth national conference on artificial intelligence …, 2005
Integrating naive bayes and FOIL.
N Landwehr, K Kersting, L De Raedt
Journal of Machine Learning Research 8 (3), 2007
The future agricultural biogas plant in Germany: A vision
S Theuerl, C Herrmann, M Heiermann, P Grundmann, N Landwehr, ...
Energies 12 (3), 396, 2019
A nonergodic ground‐motion model for California with spatially varying coefficients
N Landwehr, NM Kuehn, T Scheffer, N Abrahamson
Bulletin of the Seismological Society of America 106 (6), 2574-2583, 2016
Towards digesting the alphabet-soup of statistical relational learning
L De Raedt, B Demoen, D Fierens, B Gutmann, G Janssens, A Kimmig, ...
NIPS* 2008 Workshop Probabilistic Programming, Date: 2008/12/13-2008/12/13 …, 2008
Active risk estimation
C Sawade, N Landwehr, S Bickel, T Scheffer
ICML, 2010
Stochastic relational processes: Efficient inference and applications
I Thon, N Landwehr, L De Raedt
Machine Learning 82 (2), 239-272, 2011
Relational transformation-based tagging for activity recognition
N Landwehr, B Gutmann, I Thon, L De Raedt, M Philipose
Fundamenta Informaticae 89 (1), 111-129, 2008
Fast learning of relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Machine learning 78 (3), 305-342, 2010
Modeling interleaved hidden processes
N Landwehr
Proceedings of the 25th international conference on Machine learning, 520-527, 2008
From face to face: the contribution of facial mimicry to cognitive and emotional empathy
H Drimalla, N Landwehr, U Hess, I Dziobek
Cognition and Emotion, 2019
A simple model for sequences of relational state descriptions
I Thon, N Landwehr, L De Raedt
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
Boosting relational sequence alignments
A Karwath, K Kersting, N Landwehr
2008 Eighth IEEE International Conference on Data Mining, 857-862, 2008
Probabilistic seismic hazard analysis in California using nonergodic ground‐motion models
NA Abrahamson, NM Kuehn, M Walling, N Landwehr
Bulletin of the Seismological Society of America 109 (4), 1235-1249, 2019
Active estimation of f-measures
C Sawade, N Landwehr, T Scheffer
Advances in Neural Information Processing Systems 23, 2083-2091, 2010
Learning to identify regular expressions that describe email campaigns
P Prasse, C Sawade, N Landwehr, T Scheffer
arXiv preprint arXiv:1206.4637, 2012
Relational sequence learning
K Kersting, L De Raedt, B Gutmann, A Karwath, N Landwehr
Probabilistic inductive logic programming, 28-55, 2008
Constrained hidden markov models for population-based haplotyping
N Landwehr, T Mielikäinen, L Eronen, H Toivonen, H Mannila
BMC bioinformatics 8 (S2), S9, 2007
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