Denis Krompass
Denis Krompass
Verified email at siemens.com
Title
Cited by
Cited by
Year
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
7252013
Performance, accuracy, and web server for evolutionary placement of short sequence reads under maximum likelihood
SA Berger, D Krompass, A Stamatakis
Systematic biology 60 (3), 291-302, 2011
3782011
Pruning rogue taxa improves phylogenetic accuracy: an efficient algorithm and webservice
AJ Aberer, D Krompass, A Stamatakis
Systematic biology 62 (1), 162-166, 2013
2532013
Type-constrained representation learning in knowledge graphs
D Krompaß, S Baier, V Tresp
International semantic web conference, 640-655, 2015
1222015
Tensor-train recurrent neural networks for video classification
Y Yang, D Krompass, V Tresp
arXiv preprint arXiv:1707.01786, 2017
912017
Homology-based inference sets the bar high for protein function prediction
T Hamp, R Kassner, S Seemayer, E Vicedo, C Schaefer, D Achten, F Auer, ...
BMC bioinformatics 14 (S3), S7, 2013
452013
Predicting sequences of clinical events by using a personalized temporal latent embedding model
C Esteban, D Schmidt, D Krompaß, V Tresp
2015 International Conference on Healthcare Informatics, 130-139, 2015
382015
Predicting sequences of clinical events by using a personalized temporal latent embedding model
C Esteban, D Schmidt, D Krompaß, V Tresp
2015 International Conference on Healthcare Informatics, 130-139, 2015
382015
Non-negative tensor factorization with rescal
D Krompaß, M Nickel, X Jiang, V Tresp
Tensor Methods for Machine Learning, ECML workshop, 1-10, 2013
342013
Predicting the co-evolution of event and knowledge graphs
C Esteban, V Tresp, Y Yang, S Baier, D Krompaß
2016 19th International Conference on Information Fusion (FUSION), 98-105, 2016
332016
Querying factorized probabilistic triple databases
D Krompaß, M Nickel, V Tresp
International Semantic Web Conference, 114-129, 2014
292014
Learning with memory embeddings
V Tresp, C Esteban, Y Yang, S Baier, D Krompaß
arXiv preprint arXiv:1511.07972, 2015
182015
Large-scale factorization of type-constrained multi-relational data
D Krompaß, M Nickel, V Tresp
2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014
182014
RogueNaRok: An efficient and exact algorithm for rogue taxon identification
AJ Aberer, D Krompaß, A Stamatakis
Heidelberg Institute for Theoretical Studies: Exelixis-RRDR-2011–10, 2011
162011
Exploiting latent embeddings of nominal clinical data for predicting hospital readmission
D Krompaß, C Esteban, V Tresp, M Sedlmayr, T Ganslandt
KI-Künstliche Intelligenz 29 (2), 153-159, 2015
142015
Towards a new science of a clinical data intelligence
V Tresp, S Zillner, MJ Costa, Y Huang, A Cavallaro, PA Fasching, A Reis, ...
arXiv preprint arXiv:1311.4180, 2013
72013
Probabilistic latent-factor database models
D Krompaß, X Jiang, M Nickel, V Tresp
Linked Data for Knowledge Discovery, 74, 2014
62014
Ensemble solutions for link-prediction in knowledge graphs
D Krompaß, V Tresp
Proceedings of the 2nd Workshop on Linked Data for Knowledge Discovery …, 2015
42015
Learning representations for discrete sensor networks using tensor decompositions
S Baier, D Krompass, V Tresp
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
22016
Factorizing large heterogeneous multirelational-data
D Krompaß, M Nickel, V Tresp
Int. Conf. on Data Science and Advanced Analytics, 2014
22014
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