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Emmanuel Müller
Emmanuel Müller
Professor of Computer Science, Technical University of Dortmund
Dirección de correo verificada de cs.tu-dortmund.de - Página principal
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Deep one-class classification
L Ruff, R Vandermeulen, N Goernitz, L Deecke, SA Siddiqui, A Binder, ...
International conference on machine learning, 4393-4402, 2018
25832018
Deep semi-supervised anomaly detection
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...
arXiv preprint arXiv:1906.02694, 2019
7412019
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
4942012
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
3662009
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
3342018
Graph clustering with graph neural networks
A Tsitsulin, J Palowitch, B Perozzi, E Müller
Journal of Machine Learning Research 24 (127), 1-21, 2023
3062023
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
2972014
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
1912018
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
1772011
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
1742010
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
1682007
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
1502013
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
1322008
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
1062012
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
972009
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
952008
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
922012
Statistical selection of congruent subspaces for mining attributed graphs
PI Sánchez, E Müller, F Laforet, F Keller, K Böhm
2013 IEEE 13th international conference on data mining, 647-656, 2013
912013
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
872013
VISA: visual subspace clustering analysis
I Assent, R Krieger, E Müller, T Seidl
ACM SIGKDD Explorations Newsletter 9 (2), 5-12, 2007
862007
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Artículos 1–20