Sriharsha Veeramachaneni
Sriharsha Veeramachaneni
NextEra Analytics
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Zitiert von
Zitiert von
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
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
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
Voltage analytics for power distribution network topology verification
G Cavraro, V Kekatos, S Veeramachaneni
IEEE Transactions on Smart Grid 10 (1), 1058-1067, 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
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
Style context with second-order statistics
S Veeramachaneni, G Nagy
IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (1), 14-22, 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
Systems, methods, and software for entity relationship resolution
JG Conrad, CC Dozier, S Veeramachaneni
US Patent 9,600,509, 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
Bayesian hypothesis testing for pattern discrimination in brain decoding
E Olivetti, S Veeramachaneni, E Nowakowska
Pattern Recognition 45 (6), 2075-2084, 2012
Adaptive classifiers for multisource OCR
S Veeramachaneni, G Nagy
Document Analysis and Recognition 6 (3), 154-166, 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
Adaptive and interactive approaches to document analysis
G Nagy, S Veeramachaneni
Machine learning in document analysis and recognition, 221-257, 2008
Inferring cognition from fMRI brain images
D Sona, S Veeramachaneni, E Olivetti, P Avesani
International Conference on Artificial Neural Networks, 869-878, 2007
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
Active sampling for detecting irrelevant features
S Veeramachaneni, E Olivetti, P Avesani
Proceedings of the 23rd international conference on machine learning, 961-968, 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
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
Controlling a behind the meter energy storage and dispatch system to improve power efficiency
AJG Epel, M Rezaie, MD Briercliffe, BD Grindy, S Veeramachaneni, ...
US Patent 10,535,998, 2020
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