Sriharsha Veeramachaneni

According to our database, Sriharsha Veeramachaneni authored at least 39 papers between 2001 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Data-Driven Modeling of Aggregate Flexibility Under Uncertain and Non-Convex Device Models.

Sina Taheri, Vassilis Kekatos, Sriharsha Veeramachaneni, Baosen Zhang

IEEE Trans. Smart Grid, 2022

Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models.

Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni, Baosen Zhang

CoRR, 2022

2020

Strategic Investment in Energy Markets: A Multiparametric Programming Approach.

Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni

CoRR, 2020

2019

Voltage Analytics for Power Distribution Network Topology Verification.

Guido Cavraro, Vassilis Kekatos, Sriharsha Veeramachaneni

IEEE Trans. Smart Grid, 2019

2018

Enhancing Observability in Distribution Grids Using Smart Meter Data.

Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni

IEEE Trans. Smart Grid, 2018

2017

Enhancing observability in power distribution grids.

Siddharth Bhela, Vassilis Kekatos, Liang Zhang, Sriharsha Veeramachaneni

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Power distribution system observability with smart meter data.

Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Power grid probing for load learning: Identifiability over multiple time instances.

Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2013

Day-ahead electricity market forecasting using kernels.

Vassilis Kekatos, Sriharsha Veeramachaneni, Marc Light, Georgios B. Giannakis

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013

2012

Bayesian hypothesis testing for pattern discrimination in brain decoding.

Emanuele Olivetti, Sriharsha Veeramachaneni, Ewa Nowakowska

Pattern Recognit., 2012

Time-series Scenario Forecasting

Sriharsha Veeramachaneni

CoRR, 2012

2011

Testing for Information with Brain Decoding.

Emanuele Olivetti, Sriharsha Veeramachaneni, Paolo Avesani

Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Public record aggregation using semi-supervised entity resolution.

Jack G. Conrad, Christopher Dozier, Hugo Molina-Salgado, Merine Thomas, Sriharsha Veeramachaneni

Proceedings of the 13th International Conference on Artificial Intelligence and Law, 2011

2010

Named Entity Recognition and Resolution in Legal Text.

Christopher Dozier, Ravikumar Kondadadi, Marc Light, Arun Vachher, Sriharsha Veeramachaneni, Ramdev Wudali

Proceedings of the Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language, 2010

Brain connectivity analysis by reduction to pair classification.

Emanuele Olivetti, Sriharsha Veeramachaneni, Susanne Greiner, Paolo Avesani

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Unsupervised learning for reranking-based patent retrieval.

Wenhui Liao, Sriharsha Veeramachaneni

Proceedings of the 3rd International Workshop on Patent Information Retrieval, 2010

2009

Learning to Interpret Cognitive States from fMRI Brain Images.

Diego Sona, Emanuele Olivetti, Paolo Avesani, Sriharsha Veeramachaneni

Proceedings of the Computational Intelligence and Bioengineering, 2009

Thomson Reuters at TAC 2009: ContextChain and Fractional Conditional Compressibility of Models.

Frank Schilder, Ravi Kondadadi, Harsha Veeramachaneni

Proceedings of the Second Text Analysis Conference, 2009

2008

Adaptive and Interactive Approaches to Document Analysis.

George Nagy, Sriharsha Veeramachaneni

Proceedings of the Machine Learning in Document Analysis and Recognition, 2008

Surrogate Learning - An Approach for Semi-Supervised Classification

Sriharsha Veeramachaneni, Ravikumar Kondadadi

CoRR, 2008

2007

Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields.

Sriharsha Veeramachaneni, George Nagy

IEEE Trans. Pattern Anal. Mach. Intell., 2007

An Analysis of the Use of Tags in a Blog Recommender System.

Conor Hayes, Paolo Avesani, Sriharsha Veeramachaneni

Proceedings of the IJCAI 2007, 2007

Inferring Cognition from fMRI Brain Images.

Diego Sona, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani

Proceedings of the Artificial Neural Networks, 2007

Interaction for style-constrained OCR.

Sriharsha Veeramachaneni, George Nagy

Proceedings of the Document Recognition and Retrieval XIV, San Jose, California, USA, January 30, 2007

2006

Regularization for Unsupervised Classification on Taxonomies.

Diego Sona, Sriharsha Veeramachaneni, Nicola Polettini, Paolo Avesani

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Active sampling for detecting irrelevant features.

Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani

Proceedings of the Machine Learning, 2006

2005

Style Context with Second-Order Statistics.

Sriharsha Veeramachaneni, George Nagy

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Active Sampling for Knowledge Discovery from Biomedical Data.

Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti, Paolo Avesani

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Hierarchical Dirichlet model for document classification.

Sriharsha Veeramachaneni, Diego Sona, Paolo Avesani

Proceedings of the Machine Learning, 2005

Modeling Context as Statistical Dependence.

Sriharsha Veeramachaneni, Prateek Sarkar, George Nagy

Proceedings of the Modeling and Using Context, 2005

2003

Adaptive classifiers for multisource OCR.

Sriharsha Veeramachaneni, George Nagy

Int. J. Document Anal. Recognit., 2003

Reports of the DAS02 working groups.

Elisa H. Barney Smith, David Monn, Sriharsha Veeramachaneni, Koichi Kise, Alessio Malizia, Leon Todoran, Adnan El-Nasan, Rolf Ingold

Int. J. Document Anal. Recognit., 2003

Active Sampling for Feature Selection.

Sriharsha Veeramachaneni, Paolo Avesani

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Towards a Ptolemaic Model for OCR.

Sriharsha Veeramachaneni, George Nagy

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Handwriting Recognition Using Position Sensitive Letter N-Gram Matching.

Adnan El-Nasan, Sriharsha Veeramachaneni, George Nagy

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

2002

Style-Conscious Quadratic Field Classifier.

Sriharsha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Classifying isogenous fields.

Sriharsha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy

Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Classifier Adaptation with Non-representative Training Data.

Sriharsha Veeramachaneni, George Nagy

Proceedings of the Document Analysis Systems V, 5th International Workshop, 2002

2001

Word Discrimination Based on Bigram Co-Occurrences.

Adnan El-Nasan, Sriharsha Veeramachaneni, George Nagy

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001