Michael E. Houle

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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
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Sarah M. ErfaniSenior Lecturer, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Xingjun MaLecturer@Deakin University, Honorary Fellow@University of MelbourneVerified email at unimelb.edu.au
Peer KrögerChristian-Albrechts-University KielVerified email at informatik.uni-kiel.de
Xiguo MaSoftware Engineer, GoogleVerified email at njit.edu
Oussama ChellyMicrosoft AI & IoT Insider Lab EuropeVerified email at microsoft.com
Vladimir Estivill-CastroProfessor of Computer ScienceVerified email at upf.edu
Sue WhitesidesProfessor of Computer Science, University of Victoria BCVerified email at uvic.ca
Yisen WangAssistant Professor, Peking UniversityVerified email at pku.edu.cn
Sudanthi WijewickremaSenior Research Fellow, University of MelbourneVerified email at unimelb.edu.au
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.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, School of Mathematical and Physical Sciences, University of NewcastleVerified email at newcastle.edu.au
Ken-ichi KawarabayashiVerified email at nii.ac.jp
Teddy FuronINRIA Rennes - IRISAVerified email at inria.fr
Milos RadovanovicAssociate Professor of Computer Science, University of Novi Sad, SerbiaVerified email at dmi.uns.ac.rs

Michael E. Houle

National Institute of Informatics, Japan

Verified email at nii.ac.jp

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 (4), 891-927, 2016	413	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	333	2018
Can shared-neighbor distances defeat the curse of dimensionality? ME Houle, HP Kriegel, P Kröger, E Schubert, A Zimek International conference on scientific and statistical database management …, 2010	271	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	263	2008
Computing the width of a set ME Houle, GT Toussaint IEEE Transactions on Pattern Analysis and Machine Intelligence 10 (5), 761-765, 1988	239	1988
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	189	2018
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	95	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	82	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	66	2014
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	66	2002
Information processing using a hierarchy structure of randomized samples M Aono, ME Houle, M Kobayashi US Patent 7,216,129, 2007	64	2007
Finding the best viewpoints for three-dimensional graph drawings P Eades, ME Houle, R Webber International Symposium on Graph Drawing, 87-98, 1997	63	1997
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	62	2003
The Relevant‐Set Correlation Model for Data Clustering ME Houle Statistical Analysis and Data Mining: The ASA Data Science Journal 1 (3 …, 2008	60	2008
Robust distance-based clustering with applications to spatial data mining V Estivill-Castro, ME Houle Algorithmica 30 (2), 216-242, 2001	60	2001
Dimensionality, discriminability, density and distance distributions ME Houle 2013 IEEE 13th International Conference on Data Mining Workshops, 468-473, 2013	58	2013
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	56	2014
Graph drawing in motion II C Friedrich, ME Houle International Symposium on Graph Drawing, 220-231, 2001	55	2001
New results on a visibility representation of graphs in 3D SP Fekete, ME Houle, S Whitesides International Symposium on Graph Drawing, 234-241, 1995	53	1995

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