Michael E. Houle

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James BaileyProfessor, School of Computing and Information Systems, University of MelbourneDirección de correo verificada de unimelb.edu.au
Arthur ZimekUniversity of Southern DenmarkDirección de correo verificada de imada.sdu.dk
Erich SchubertProfessor of Data Mining, TU Dortmund UniversityDirección de correo verificada de cs.tu-dortmund.de
Vincent OriaNew Jersey Institute of TechnologyDirección de correo verificada de njit.edu
Sarah M. ErfaniAssociate Professor and DECRA Fellow, Computing and Information Systems, University of MelbourneDirección de correo verificada de unimelb.edu.au
Xingjun MaAssociate Professor, School of Computer Science, Fudan UniversityDirección de correo verificada de unimelb.edu.au
Oussama ChellyMicrosoft AI & IoT Insider Lab EuropeDirección de correo verificada de microsoft.com
Ken-ichi KawarabayashiNational Institute of InformaticsDirección de correo verificada de nii.ac.jp
Miloš RadovanovićProfessor of Computer Science, University of Novi Sad, SerbiaDirección de correo verificada de dmi.uns.ac.rs
Yisen WangAssistant Professor, Peking UniversityDirección de correo verificada de pku.edu.cn
Sudanthi WijewickremaSenior Research Fellow, University of MelbourneDirección de correo verificada de unimelb.edu.au
Xiguo MaSoftware Engineer, GoogleDirección de correo verificada de njit.edu
Barbora MicenkováAarhus UniversityDirección de correo verificada de cs.au.dk
Jörg SanderProfessor, Computing Science, University of AlbertaDirección de correo verificada de ualberta.ca
Ricardo J. G. B. CampelloFull Professor, Dept. of Mathematics and Computer Science, University of Southern DenmarkDirección de correo verificada de imada.sdu.dk
Peer KrögerChristian-Albrechts-University KielDirección de correo verificada de informatik.uni-kiel.de
Sue WhitesidesProfessor of Computer Science, University of Victoria BCDirección de correo verificada de uvic.ca
Vladimir Estivill-CastroProfessor of Computer ScienceDirección de correo verificada de upf.edu
Teddy FuronINRIA Rennes - IRISADirección de correo verificada de inria.fr
Vinh NguyenDeep Learning @NVIDIADirección de correo verificada de nvidia.com

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Michael E. Houle

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

Dirección de correo verificada de unimelb.edu.au

Data Mining Machine Learning Similarity Search Algorithmics Extreme Value Theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	705	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	691	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	365	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	333	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	301	2008
Computing the width of a set ME Houle, GT Toussaint Proceedings of the first annual symposium on Computational geometry, 1-7, 1985	249	1985
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	145	2015
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
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	95	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	92	2014
Local intrinsic dimensionality I: an extreme-value-theoretic foundation for similarity applications ME Houle Similarity Search and Applications: 10th International Conference, SISAP …, 2017	91	2017
Dimensionality, discriminability, density and distance distributions ME Houle 2013 IEEE 13th International Conference on Data Mining Workshops, 468-473, 2013	89	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	74	2002
Generalized expansion dimension ME Houle, H Kashima, M Nett 2012 IEEE 12th International Conference on Data Mining Workshops, 587-594, 2012	72	2012
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	68	2017
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	66	2003
Robust distance-based clustering with applications to spatial data mining V Estivill-Castro, ME Houle Algorithmica 30, 216-242, 2001	65	2001
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

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