Sriharsha Veeramachaneni

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Paolo AvesaniFondazione Bruno KesslerVerified email at fbk.eu
Vassilis KekatosAssociate Professor, Virginia TechVerified email at vt.edu
George NagyElectrical,Computer,and Systems Engineering, Rensselaer Polytechnic InstituteVerified email at ecse.rpi.edu
Emanuele OlivettiResearcher, Bruno Kessler FoundationVerified email at fbk.eu
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 avalara.com
Jack G. ConradThomson ReutersVerified email at acm.org
Guido CavraroSenior Researcher, National Renewable Energy LabVerified email at nrel.gov
Sina TaheriPh.D., ML Engineer, Ibotta Inc.Verified email at vt.edu
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
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
Fujisawa HiromichiWaseda UniversityVerified email at xd6.so-net.ne.jp
Francesca DemichelisDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, ItalyVerified email at unitn.it
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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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	142	2017
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	138	2009
Named entity recognition and resolution in legal text C Dozier, R Kondadadi, M Light, A Vachher, S Veeramachaneni, ... Semantic processing of legal texts: where the language of law meets the law …, 2010	123	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	107	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	73	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	60	2009
Style context with second-order statistics S Veeramachaneni, G Nagy IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (1), 14-22, 2005	57	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	47	2006
Systems, methods, and software for entity relationship resolution JG Conrad, CC Dozier, S Veeramachaneni US Patent 9,600,509, 2017	37	2017
Hierarchical dirichlet model for document classification S Veeramachaneni, D Sona, P Avesani Proceedings of the 22nd international conference on Machine learning, 928-935, 2005	35	2005
Bayesian hypothesis testing for pattern discrimination in brain decoding E Olivetti, S Veeramachaneni, E Nowakowska Pattern Recognition 45 (6), 2075-2084, 2012	28	2012
Adaptive classifiers for multisource OCR S Veeramachaneni, G Nagy Document Analysis and Recognition 6 (3), 154-166, 2003	26	2003
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	25	2007
Adaptive and interactive approaches to document analysis G Nagy, S Veeramachaneni Machine learning in document analysis and recognition, 221-257, 2008	20	2008
Active sampling for detecting irrelevant features S Veeramachaneni, E Olivetti, P Avesani Proceedings of the 23rd international conference on machine learning, 961-968, 2006	18	2006
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
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
Smart inverter grid probing for learning loads: Part I—Identifiability analysis S Bhela, V Kekatos, S Veeramachaneni IEEE Transactions on Power Systems 34 (5), 3527-3536, 2019	16	2019
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	14	1998

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