Stefano Lonardi

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideEmail verificata su cs.ucr.edu
Timothy J CloseUniversity of CaliforniaEmail verificata su ucr.edu
Jessica LinGeorge Mason UniversityEmail verificata su gmu.edu
Karine Le RochProfessor, University of California, RiversideEmail verificata su ucr.edu
Yonghui WuGoogle BrainEmail verificata su google.com
Rachid OunitUniversity of California, RiversideEmail verificata su cs.ucr.edu
Elena HarrisAssistant Professor, California State University, ChicoEmail verificata su csuchico.edu
Bill ChiuEmail verificata su tapiama.org
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityEmail verificata su chula.ac.th
Tao JiangUC RiversideEmail verificata su cs.ucr.edu
Vladimir Vacic23andMe, Inc.Email verificata su 23andme.com
Philip RobertsEmail verificata su ucr.edu
María Muñoz-AmatriaínUniversidad de LeónEmail verificata su unileon.es
Sassoum LoUniversity of California DavisEmail verificata su ucr.edu
Prasanna BhatData Stewardship Lead at Monsanto Research Center, BangaloreEmail verificata su monsanto.com
Jie ZhengAssociate Professor, School of Information Science and Technology, ShanghaiTech UniversityEmail verificata su shanghaitech.edu.cn
Wojciech SzpankowskiPurdue UniversityEmail verificata su purdue.edu
Qihua LiangUniversity of California, RiversideEmail verificata su ucr.edu
Thanawin RakthanmanonDept. of Computer Engineering, Kasetsart University, ThailandEmail verificata su ku.ac.th
Scott EvansPrincipal Scientist Machine Learning, GE ResearchEmail verificata su ge.com

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Stefano Lonardi

Professor of Computer Science, University of California, Riverside

Email verificata su cs.ucr.edu - Home page

Computational Biology Bioinformatics Data Mining Data Compression Epigenetics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	2592	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	2062	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	1870	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	1452	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	1172	2017
Towards parameter-free data mining E Keogh, S Lonardi, CA Ratanamahatana Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	814	2004
Probabilistic discovery of time series motifs B Chiu, E Keogh, S Lonardi Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	803	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	690	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	569	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	544	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	540	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	381	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	374	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	335	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	248	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	226*	2005
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	222	2004
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	214	2019
Assumption-Free Anomaly Detection in Time Series. L Wei, N Kumar, VN Lolla, EJ Keogh, S Lonardi, ... SSDBM 5, 237-242, 2005	200	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	199	2005

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