Michael E. Houle

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James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Arthur ZimekUniversity of Southern DenmarkVerified email at imada.sdu.dk
Erich SchubertProfessor of Data Mining, TU Dortmund UniversityVerified email at cs.tu-dortmund.de
Vincent OriaNew Jersey Institute of TechnologyVerified email at njit.edu
Sarah M. ErfaniAssociate Professor and DECRA Fellow, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Xingjun MaSchool of Computer Science, Fudan UniversityVerified email at unimelb.edu.au
Oussama ChellyMicrosoft AI & IoT Insider Lab EuropeVerified email at microsoft.com
Ken-ichi KawarabayashiNational Institute of InformaticsVerified email at nii.ac.jp
Sue WhitesidesProfessor of Computer Science, University of Victoria BCVerified email at uvic.ca
Xiguo MaSoftware Engineer, GoogleVerified email at njit.edu
Miloš RadovanovićProfessor of Computer Science, University of Novi Sad, SerbiaVerified email at dmi.uns.ac.rs
Yisen WangAssistant Professor, Peking UniversityVerified email at pku.edu.cn
Sudanthi WijewickremaSenior Research Fellow, University of MelbourneVerified email at unimelb.edu.au
Peer KrögerChristian-Albrechts-University KielVerified email at informatik.uni-kiel.de
Barbora MicenkováAarhus UniversityVerified email at cs.au.dk
Jörg SanderProfessor, Computing Science, University of AlbertaVerified email at ualberta.ca
Ricardo J. G. B. CampelloFull Professor, Dept. of Mathematics and Computer Science, University of Southern DenmarkVerified email at imada.sdu.dk
Vladimir Estivill-CastroProfessor of Computer ScienceVerified email at upf.edu
Teddy FuronINRIA Rennes - IRISAVerified email at inria.fr
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de

Michael E. Houle

Principal Fellow, School of Computing and Information Systems, University of Melbourne

Verified email at unimelb.edu.au

Data Mining Machine Learning Similarity Search Algorithmics Extreme Value Theory


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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ... Data mining and knowledge discovery 30, 891-927, 2016	630	2016
Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, G Schoenebeck, D Song, ... arXiv preprint arXiv:1801.02613, 2018	595	2018
Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, S Erfani, S Xia, S Wijewickrema, ... International Conference on Machine Learning, 3355-3364, 2018	338	2018
Can shared-neighbor distances defeat the curse of dimensionality? ME Houle, HP Kriegel, P Kröger, E Schubert, A Zimek Scientific and Statistical Database Management: 22nd International …, 2010	323	2010
Computer system, method, and program product for generating a data structure for information retrieval, and an associated graphical user interface ME Houle US Patent 7,428,541, 2008	299	2008
Computing the width of a set ME Houle, GT Toussaint Proceedings of the first annual symposium on Computational geometry, 1-7, 1985	244	1985
Fast approximate similarity search in extremely high-dimensional data sets ME Houle, J Sakuma 21st International Conference on Data Engineering (ICDE'05), 619-630, 2005	137	2005
Estimating local intrinsic dimensionality L Amsaleg, O Chelly, T Furon, S Girard, ME Houle, K Kawarabayashi, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	132	2015
Finding local anomalies in very high dimensional space T De Vries, S Chawla, ME Houle 2010 IEEE International Conference on Data Mining, 128-137, 2010	92	2010
Expansion of the APC superfamily of secondary carriers A Vastermark, S Wollwage, ME Houle, R Rio, MH Saier Jr Proteins: Structure, Function, and Bioinformatics 82 (10), 2797-2811, 2014	87	2014
Local intrinsic dimensionality I: an extreme-value-theoretic foundation for similarity applications ME Houle Similarity Search and Applications: 10th International Conference, SISAP …, 2017	85	2017
Dimensionality, discriminability, density and distance distributions ME Houle 2013 IEEE 13th International Conference on Data Mining Workshops, 468-473, 2013	81	2013
A visibility representation for graphs in three dimensions P Bose, H Everett, SP Fekete, ME Houle, A Lubiw, H Meijer, K Romanik, ... Graph Algorithms And Applications I, 103-118, 2002	75	2002
Generalized expansion dimension ME Houle, H Kashima, M Nett 2012 IEEE 12th International Conference on Data Mining Workshops, 587-594, 2012	70	2012
Information processing using a hierarchy structure of randomized samples M Aono, ME Houle, M Kobayashi US Patent 7,216,129, 2007	68	2007
Rank-based similarity search: Reducing the dimensional dependence ME Houle, M Nett IEEE transactions on pattern analysis and machine intelligence 37 (1), 136-150, 2014	66	2014
Extracting spatial knowledge from the web Y Morimoto, M Aono, ME Houle, KS McCurley 2003 Symposium on Applications and the Internet, 2003. Proceedings., 326-333, 2003	65	2003
Finding the best viewpoints for three-dimensional graph drawings P Eades, ME Houle, R Webber Graph Drawing: 5th International Symposium, GD'97 Rome, Italy, September 18 …, 1997	65	1997
The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality L Amsaleg, J Bailey, D Barbe, S Erfani, ME Houle, V Nguyen, ... 2017 ieee workshop on information forensics and security (wifs), 1-6, 2017	62	2017
Robust distance-based clustering with applications to spatial data mining V Estivill-Castro, ME Houle Algorithmica 30, 216-242, 2001	61	2001

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