Stefano Lonardi

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
Timothy J CloseUniversity of CaliforniaVerified email at ucr.edu
Jessica LinGeorge Mason UniversityVerified email at gmu.edu
Karine Le RochProfessor, University of California, RiversideVerified email at ucr.edu
Yonghui WuGoogle BrainVerified email at google.com
Rachid OunitUniversity of California, RiversideVerified email at cs.ucr.edu
Elena HarrisAssistant Professor, California State University, ChicoVerified email at csuchico.edu
Bill ChiuVerified email at tapiama.org
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityVerified email at chula.ac.th
Tao JiangUC RiversideVerified email at cs.ucr.edu
Vladimir Vacic23andMe, Inc.Verified email at 23andme.com
Philip RobertsVerified email at ucr.edu
María Muñoz-AmatriaínUniversidad de LeónVerified email at unileon.es
Sassoum LoUniversity of California DavisVerified email at ucr.edu
Prasanna BhatData Stewardship Lead at Monsanto Research Center, BangaloreVerified email at monsanto.com
Jie ZhengAssociate Professor, School of Information Science and Technology, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Qihua LiangUniversity of California, RiversideVerified email at ucr.edu
Wojciech SzpankowskiPurdue UniversityVerified email at purdue.edu
Thanawin RakthanmanonDept. of Computer Engineering, Kasetsart University, ThailandVerified email at ku.ac.th
Scott EvansPrincipal Scientist Machine Learning, GE ResearchVerified email at ge.com

Stefano Lonardi

Professor of Computer Science, University of California, Riverside

Verified email at cs.ucr.edu - Homepage

Computational Biology Bioinformatics Data Mining Data Compression Epigenetics


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A symbolic representation of time series, with implications for streaming algorithms J Lin, E Keogh, S Lonardi, B Chiu Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining …, 2003	2623	2003
A whole-genome assembly of Drosophila EW Myers, GG Sutton, AL Delcher, IM Dew, DP Fasulo, MJ Flanigan, ... Science 287 (5461), 2196-2204, 2000	2079	2000
Experiencing SAX: a novel symbolic representation of time series J Lin, E Keogh, L Wei, S Lonardi Data Mining and knowledge discovery 15, 107-144, 2007	1908	2007
A physical, genetic and functional sequence assembly of the barley genome. KF Mayer, R Waugh, P Langridge, TJ Close, RP Wise, A Graner, ... Nature, 2012	1464	2012
A chromosome conformation capture ordered sequence of the barley genome M Mascher, H Gundlach, A Himmelbach, S Beier, SO Twardziok, T Wicker, ... Nature 544 (7651), 427-433, 2017	1196	2017
Towards parameter-free data mining E Keogh, S Lonardi, CA Ratanamahatana Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	822	2004
Probabilistic discovery of time series motifs B Chiu, E Keogh, S Lonardi Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	809	2003
Development and implementation of high-throughput SNP genotyping in barley TJ Close, PR Bhat, S Lonardi, Y Wu, N Rostoks, L Ramsay, A Druka, ... BMC genomics 10 (1), 1-13, 2009	697	2009
Finding surprising patterns in a time series database in linear time and space E Keogh, S Lonardi, BY Chiu Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	576	2002
CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers R Ounit, S Wanamaker, TJ Close, S Lonardi BMC genomics 16 (1), 1-13, 2015	558	2015
Efficient and accurate construction of genetic linkage maps from the minimum spanning tree of a graph Y Wu, PR Bhat, TJ Close, S Lonardi PLoS genetics 4 (10), e1000212, 2008	550	2008
Composition Profiler: a tool for discovery and visualization of amino acid composition differences V Vacic, VN Uversky, AK Dunker, S Lonardi BMC bioinformatics 8 (1), 1-7, 2007	384	2007
Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival D Bogunovic, DW O'Neill, I Belitskaya-Levy, V Vacic, YL Yu, S Adams, ... Proceedings of the National Academy of Sciences 106 (48), 20429-20434, 2009	377	2009
Mining motifs in massive time series databases P Patel, E Keogh, J Lin, S Lonardi 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 370-377, 2002	337	2002
Comprehensive benchmarking and ensemble approaches for metagenomic classifiers ABR McIntyre, R Ounit, E Afshinnekoo, RJ Prill, E Hénaff, N Alexander, ... Genome biology 18 (1), 1-19, 2017	260	2017
Assignment of orthologous genes via genome rearrangement X Chen, J Zheng, Z Fu, P Nan, Y Zhong, S Lonardi, T Jiang IEEE/ACM Trans Comput Biol Bioinformatics 2 (4), 302-15, 2005	229*	2005
The genome of cowpea (Vigna unguiculata [L.] Walp.) S Lonardi, M Muñoz‐Amatriaín, Q Liang, S Shu, SI Wanamaker, S Lo, ... The Plant Journal 98 (5), 767-782, 2019	228	2019
Visually mining and monitoring massive time series J Lin, E Keogh, S Lonardi, JP Lankford, DM Nystrom Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	223	2004
Assumption-Free Anomaly Detection in Time Series. L Wei, N Kumar, VN Lolla, EJ Keogh, S Lonardi, ... SSDBM 5, 237-242, 2005	201	2005
Time-series bitmaps: a practical visualization tool for working with large time series databases N Kumar, VN Lolla, E Keogh, S Lonardi, CA Ratanamahatana, L Wei Proceedings of the 2005 SIAM international conference on data mining, 531-535, 2005	201	2005

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