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Sriharsha Veeramachaneni
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2020 – today
- 2022
- [j8]Sina Taheri
, Vassilis Kekatos
, Sriharsha Veeramachaneni, Baosen Zhang
:
Data-Driven Modeling of Aggregate Flexibility Under Uncertain and Non-Convex Device Models. IEEE Trans. Smart Grid 13(6): 4572-4582 (2022) - [i6]Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni, Baosen Zhang:
Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models. CoRR abs/2201.11952 (2022) - 2020
- [i5]Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni:
Strategic Investment in Energy Markets: A Multiparametric Programming Approach. CoRR abs/2004.06483 (2020)
2010 – 2019
- 2019
- [j7]Guido Cavraro
, Vassilis Kekatos
, Sriharsha Veeramachaneni:
Voltage Analytics for Power Distribution Network Topology Verification. IEEE Trans. Smart Grid 10(1): 1058-1067 (2019) - 2018
- [j6]Siddharth Bhela
, Vassilis Kekatos
, Sriharsha Veeramachaneni:
Enhancing Observability in Distribution Grids Using Smart Meter Data. IEEE Trans. Smart Grid 9(6): 5953-5961 (2018) - 2017
- [c24]Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni:
Power grid probing for load learning: Identifiability over multiple time instances. CAMSAP 2017: 1-5 - [c23]Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni:
Power distribution system observability with smart meter data. GlobalSIP 2017: 1070-1074 - [c22]Siddharth Bhela, Vassilis Kekatos
, Liang Zhang, Sriharsha Veeramachaneni:
Enhancing observability in power distribution grids. ICASSP 2017: 4551-4555 - 2016
- [i4]Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni:
Enhancing Observability in Distribution Grids using Smart Meter Data. CoRR abs/1612.06669 (2016) - 2013
- [c21]Vassilis Kekatos
, Sriharsha Veeramachaneni, Marc Light, Georgios B. Giannakis
:
Day-ahead electricity market forecasting using kernels. ISGT 2013: 1-5 - 2012
- [j5]Emanuele Olivetti
, Sriharsha Veeramachaneni, Ewa Nowakowska:
Bayesian hypothesis testing for pattern discrimination in brain decoding. Pattern Recognit. 45(6): 2075-2084 (2012) - [i3]Sriharsha Veeramachaneni:
Time-series Scenario Forecasting. CoRR abs/1211.3010 (2012) - 2011
- [c20]Jack G. Conrad, Christopher Dozier, Hugo Molina-Salgado, Merine Thomas, Sriharsha Veeramachaneni:
Public record aggregation using semi-supervised entity resolution. ICAIL 2011: 239-248 - [c19]Emanuele Olivetti
, Sriharsha Veeramachaneni, Paolo Avesani
:
Testing for Information with Brain Decoding. PRNI 2011: 33-36 - 2010
- [c18]Wenhui Liao, Sriharsha Veeramachaneni:
Unsupervised learning for reranking-based patent retrieval. PaIR@CIKM 2010: 23-26 - [c17]Emanuele Olivetti
, Sriharsha Veeramachaneni, Susanne Greiner, Paolo Avesani
:
Brain connectivity analysis by reduction to pair classification. CIP 2010: 275-280 - [c16]Christopher Dozier, Ravikumar Kondadadi, Marc Light, Arun Vachher, Sriharsha Veeramachaneni, Ramdev Wudali:
Named Entity Recognition and Resolution in Legal Text. Semantic Processing of Legal Texts 2010: 27-43
2000 – 2009
- 2009
- [p2]Diego Sona
, Emanuele Olivetti
, Paolo Avesani
, Sriharsha Veeramachaneni:
Learning to Interpret Cognitive States from fMRI Brain Images. Computational Intelligence and Bioengineering 2009: 21-35 - [i2]Frank Schilder, Ravi Kondadadi, Harsha Veeramachaneni:
Thomson Reuters at TAC 2009: ContextChain and Fractional Conditional Compressibility of Models. TAC 2009 - 2008
- [p1]George Nagy
, Sriharsha Veeramachaneni:
Adaptive and Interactive Approaches to Document Analysis. Machine Learning in Document Analysis and Recognition 2008: 221-257 - [i1]Sriharsha Veeramachaneni, Ravikumar Kondadadi:
Surrogate Learning - An Approach for Semi-Supervised Classification. CoRR abs/0809.4632 (2008) - 2007
- [j4]Sriharsha Veeramachaneni, George Nagy
:
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1280-1285 (2007) - [c15]Sriharsha Veeramachaneni, George Nagy:
Interaction for style-constrained OCR. DRR 2007: 650006 - [c14]Diego Sona
, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani
:
Inferring Cognition from fMRI Brain Images. ICANN (2) 2007: 869-878 - [c13]Conor Hayes, Paolo Avesani, Sriharsha Veeramachaneni:
An Analysis of the Use of Tags in a Blog Recommender System. IJCAI 2007: 2772-2777 - 2006
- [c12]Sriharsha Veeramachaneni, Emanuele Olivetti
, Paolo Avesani
:
Active sampling for detecting irrelevant features. ICML 2006: 961-968 - [c11]Diego Sona
, Sriharsha Veeramachaneni, Nicola Polettini, Paolo Avesani
:
Regularization for Unsupervised Classification on Taxonomies. ISMIS 2006: 691-696 - 2005
- [j3]Sriharsha Veeramachaneni, George Nagy
:
Style Context with Second-Order Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 27(1): 14-22 (2005) - [c10]Sriharsha Veeramachaneni, Prateek Sarkar, George Nagy:
Modeling Context as Statistical Dependence. CONTEXT 2005: 515-528 - [c9]Sriharsha Veeramachaneni, Diego Sona, Paolo Avesani:
Hierarchical Dirichlet model for document classification. ICML 2005: 928-935 - [c8]Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti
, Paolo Avesani
:
Active Sampling for Knowledge Discovery from Biomedical Data. PKDD 2005: 343-354 - 2003
- [j2]Sriharsha Veeramachaneni, George Nagy
:
Adaptive classifiers for multisource OCR. Int. J. Document Anal. Recognit. 6(3): 154-166 (2003) - [j1]Elisa H. Barney Smith
, David Monn, Sriharsha Veeramachaneni, Koichi Kise, Alessio Malizia
, Leon Todoran, Adnan El-Nasan, Rolf Ingold
:
Reports of the DAS02 working groups. Int. J. Document Anal. Recognit. 6(3): 200-206 (2003) - [c7]Adnan El-Nasan, Sriharsha Veeramachaneni, George Nagy
:
Handwriting Recognition Using Position Sensitive Letter N-Gram Matching. ICDAR 2003: 577- - [c6]Sriharsha Veeramachaneni, George Nagy
:
Towards a Ptolemaic Model for OCR. ICDAR 2003: 1060-1064 - [c5]Sriharsha Veeramachaneni, Paolo Avesani:
Active Sampling for Feature Selection. ICDM 2003: 665-668 - 2002
- [c4]Sriharsha Veeramachaneni, George Nagy:
Classifier Adaptation with Non-representative Training Data. Document Analysis Systems 2002: 123-133 - [c3]Sriharsha Veeramachaneni, Hiromichi Fujisawa
, Cheng-Lin Liu, George Nagy
:
Classifying isogenous fields. IWFHR 2002: 41-46 - [c2]Sriharsha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy:
Style-Conscious Quadratic Field Classifier. ICPR (2) 2002: 72-75 - 2001
- [c1]Adnan El-Nasan, Sriharsha Veeramachaneni, George Nagy
:
Word Discrimination Based on Bigram Co-Occurrences. ICDAR 2001: 149-153
Coauthor Index
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