Emmanuel Müller
Emmanuel Müller
Professor of Computer Science, Technical University of Dortmund
Bestätigte E-Mail-Adresse bei cs.tu-dortmund.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Evaluating clustering in subspace projections of high dimensional data
E Müller, S Günnemann, I Assent, T Seidl
Proceedings of the VLDB Endowment 2 (1), 1270-1281, 2009
3252009
Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
3072018
HiCS: High contrast subspaces for density-based outlier ranking
F Keller, E Muller, K Bohm
2012 IEEE 28th international conference on data engineering, 1037-1048, 2012
2982012
Focused clustering and outlier detection in large attributed graphs
B Perozzi, L Akoglu, P Iglesias Sánchez, E Müller
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1782014
DUSC: Dimensionality unbiased subspace clustering
I Assent, R Krieger, E Müller, T Seidl
seventh IEEE international conference on data mining (ICDM 2007), 409-414, 2007
1562007
Statistical selection of relevant subspace projections for outlier ranking
E Müller, M Schiffer, T Seidl
2011 IEEE 27th international conference on data engineering, 434-445, 2011
1382011
Verse: Versatile graph embeddings from similarity measures
A Tsitsulin, D Mottin, P Karras, E Müller
Proceedings of the 2018 world wide web conference, 539-548, 2018
1292018
On using class-labels in evaluation of clusterings
I Färber, S Günnemann, HP Kriegel, P Kröger, E Müller, E Schubert, ...
MultiClust: 1st international workshop on discovering, summarizing and using …, 2010
1272010
INSCY: Indexing subspace clusters with in-process-removal of redundancy
I Assent, R Krieger, E Müller, T Seidl
2008 Eighth IEEE International Conference on Data Mining, 719-724, 2008
1212008
Relevant subspace clustering: Mining the most interesting non-redundant concepts in high dimensional data
E Müller, I Assent, S Günnemann, R Krieger, T Seidl
2009 Ninth IEEE International Conference on Data Mining, 377-386, 2009
872009
OutRank: ranking outliers in high dimensional data
E Muller, I Assent, U Steinhausen, T Seidl
2008 IEEE 24th international conference on data engineering workshop, 600-603, 2008
842008
Ranking outlier nodes in subspaces of attributed graphs
E Müller, PI Sánchez, Y Mülle, K Böhm
2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW …, 2013
802013
Outlier ranking via subspace analysis in multiple views of the data
E Müller, I Assent, P Iglesias, Y Mülle, K Böhm
2012 IEEE 12th international conference on data mining, 529-538, 2012
782012
VISA: visual subspace clustering analysis
I Assent, R Krieger, E Müller, T Seidl
ACM SIGKDD Explorations Newsletter 9 (2), 5-12, 2007
722007
Discovering multiple clustering solutions: Grouping objects in different views of the data
E Muller, S Gunnemann, I Farber, T Seidl
2012 IEEE 28th International Conference on Data Engineering, 1207-1210, 2012
702012
External evaluation measures for subspace clustering
S Günnemann, I Färber, E Müller, I Assent, T Seidl
Proceedings of the 20th ACM international conference on Information and …, 2011
552011
Deep semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
arXiv preprint arXiv:1906.02694, 2019
522019
CMI: An information-theoretic contrast measure for enhancing subspace cluster and outlier detection
HV Nguyen, E Müller, J Vreeken, F Keller, K Böhm
Proceedings of the 2013 SIAM International Conference on Data Mining, 198-206, 2013
522013
Influence of contact pressure and moisture on the signal quality of a newly developed textile ECG sensor shirt
S Kim, S Leonhardt, N Zimmermann, P Kranen, D Kensche, E Muller, ...
2008 5th international summer school and symposium on medical devices and …, 2008
522008
Netlsd: hearing the shape of a graph
A Tsitsulin, D Mottin, P Karras, A Bronstein, E Müller
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
502018
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