Sriharsha Veeramachaneni

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Paolo AvesaniFondazione Bruno KesslerVerified email at fbk.eu
George NagyElectrical,Computer,and Systems Engineering, Rensselaer Polytechnic InstituteVerified email at ecse.rpi.edu
Emanuele OlivettiResearcher, Bruno Kessler FoundationVerified email at fbk.eu
Vassilis KekatosAssociate Professor, Virginia TechVerified email at vt.edu
Diego SonaFondazione Bruno Kessler & Istituto Italiano di TecnologiaVerified email at iit.it
christopher dozierlead research scientist, thomson reutersVerified email at thomsonreuters.com
Siddharth BhelaResearch Scientist, Siemens TechnologyVerified email at vt.edu
Ravi KondadadiVerified email at optum.com
Jack G. ConradThomson ReutersVerified email at thomsonreuters.com
Guido CavraroSenior Researcher, National Renewable Energy LabVerified email at nrel.gov
Frank SchilderSr. Director, Research, Thomson ReutersVerified email at thomsonreuters.com
Conor HayesData Science Institute, School of Computer Science, NUI GalwayVerified email at nuigalway.ie
Cheng-Lin LiuInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Sina TaheriPh.D., Research Assistant, Virginia TechVerified email at vt.edu
Ben AbbottSt Mary’s University/Southwest Research InstituteVerified email at stmarytx.edu
Georgios B. GiannakisMcKnight Presidential Chair in ECE Dept., University of MinnesotaVerified email at umn.edu
Prateek SarkarGoogleVerified email at google.com
Francesca DemichelisDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, ItalyVerified email at unitn.it
Fujisawa HiromichiWaseda UniversityVerified email at xd6.so-net.ne.jp
Susanne GreinerPhD student, Trento UniversityVerified email at fbk.eu

Sriharsha Veeramachaneni

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Machine learning statistics pattern recognition optimization control


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A simple semi-supervised algorithm for named entity recognition W Liao, S Veeramachaneni Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for …, 2009	122	2009
Enhancing observability in distribution grids using smart meter data S Bhela, V Kekatos, S Veeramachaneni IEEE Transactions on Smart Grid 9 (6), 5953-5961, 2017	105	2017
Named entity recognition and resolution in legal text C Dozier, R Kondadadi, M Light, A Vachher, S Veeramachaneni, ... Semantic Processing of Legal Texts, 27-43, 2010	91	2010
Voltage analytics for power distribution network topology verification G Cavraro, V Kekatos, S Veeramachaneni IEEE Transactions on Smart Grid 10 (1), 1058-1067, 2017	67	2017
Method and system for ranking intellectual property documents using claim analysis W Liao, S Veeramachaneni, G Quick, A Vachher US Patent 9,110,971, 2015	58	2015
Systems, methods, and software for entity extraction and resolution coupled with event and relationship extraction M Light, F Schilder, RK Kondadadi, CC Dozier, W Liao, ... US Patent App. 12/341,926, 2009	55	2009
Style context with second-order statistics S Veeramachaneni, G Nagy IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (1), 14-22, 2005	54	2005
An analysis of bloggers, topics and tags for a blog recommender system C Hayes, P Avesani, U Bojars Workshop on Web Mining, 1-20, 2006	46	2006
Hierarchical dirichlet model for document classification S Veeramachaneni, D Sona, P Avesani Proceedings of the 22nd international conference on Machine learning, 928-935, 2005	33	2005
Systems, methods, and software for entity relationship resolution JG Conrad, CC Dozier, S Veeramachaneni US Patent 9,600,509, 2017	28	2017
Analytical results on style-constrained Bayesian classification of pattern fields S Veeramachaneni, G Nagy IEEE transactions on pattern analysis and machine intelligence 29 (7), 1280-1285, 2007	26	2007
Adaptive classifiers for multisource OCR S Veeramachaneni, G Nagy Document Analysis and Recognition 6 (3), 154-166, 2003	26	2003
Bayesian hypothesis testing for pattern discrimination in brain decoding E Olivetti, S Veeramachaneni, E Nowakowska Pattern Recognition 45 (6), 2075-2084, 2012	25	2012
Adaptive and interactive approaches to document analysis G Nagy, S Veeramachaneni Machine learning in document analysis and recognition, 221-257, 2008	20	2008
Inferring cognition from fMRI brain images D Sona, S Veeramachaneni, E Olivetti, P Avesani International Conference on Artificial Neural Networks, 869-878, 2007	17	2007
Active sampling for detecting irrelevant features S Veeramachaneni, E Olivetti, P Avesani Proceedings of the 23rd international conference on machine learning, 961-968, 2006	17	2006
Word discrimination based on bigram co-occurrences A El-Nasan, S Veeramachaneni, G Nagy Proceedings of Sixth International Conference on Document Analysis and …, 2001	17	2001
Making e-learning better through machine learning PS Saini, D Sona, S Veeramachaneni, M Ronchetti international conference on methods and technologies for learning, 1-6, 2005	16	2005
Laser-based obstacle detection and avoidance system MW Torrie, S Veeramachaneni, BA Abbott Robotic and Semi-Robotic Ground Vehicle Technology 3366, 2-7, 1998	13	1998
Enhancing observability in power distribution grids S Bhela, V Kekatos, L Zhang, S Veeramachaneni 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017	12	2017

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