Word Discrimination Based on Bigram Co-Occurrences. - Adnan El-Nasan; Sriharsha Veeramachaneni; George Nagy (ICDAR, 2001)

Classifier Adaptation with Non-representative Training Data. - Sriharsha Veeramachaneni; George Nagy (Document Analysis Systems, 2002)

Classifying isogenous fields. - Sriharsha Veeramachaneni; Hiromichi Fujisawa; Cheng-Lin Liu; George Nagy (IWFHR, 2002)

Style-Conscious Quadratic Field Classifier. - Sriharsha Veeramachaneni; Hiromichi Fujisawa; Cheng-Lin Liu; George Nagy (ICPR (2), 2002)

Handwriting Recognition Using Position Sensitive Letter N-Gram Matching. - Adnan El-Nasan; Sriharsha Veeramachaneni; George Nagy (ICDAR, 2003)

Towards a Ptolemaic Model for OCR. - Sriharsha Veeramachaneni; George Nagy (ICDAR, 2003)

Active Sampling for Feature Selection. - Sriharsha Veeramachaneni; Paolo Avesani (ICDM, 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)

Adaptive classifiers for multisource OCR. - Sriharsha Veeramachaneni; George Nagy (Int. J. Document Anal. Recognit., 2003)

Modeling Context as Statistical Dependence. - Sriharsha Veeramachaneni; Prateek Sarkar; George Nagy (CONTEXT, 2005)

Hierarchical Dirichlet model for document classification. - Sriharsha Veeramachaneni; Diego Sona; Paolo Avesani (ICML, 2005)

Active Sampling for Knowledge Discovery from Biomedical Data. - Sriharsha Veeramachaneni; Francesca Demichelis; Emanuele Olivetti; Paolo Avesani (PKDD, 2005)

Style Context with Second-Order Statistics. - Sriharsha Veeramachaneni; George Nagy (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Active sampling for detecting irrelevant features. - Sriharsha Veeramachaneni; Emanuele Olivetti; Paolo Avesani (ICML, 2006)

Regularization for Unsupervised Classification on Taxonomies. - Diego Sona; Sriharsha Veeramachaneni; Nicola Polettini; Paolo Avesani (ISMIS, 2006)

Interaction for style-constrained OCR. - Sriharsha Veeramachaneni; George Nagy (DRR, 2007)

Inferring Cognition from fMRI Brain Images. - Diego Sona; Sriharsha Veeramachaneni; Emanuele Olivetti; Paolo Avesani (ICANN (2), 2007)

An Analysis of the Use of Tags in a Blog Recommender System. - Conor Hayes; Paolo Avesani; Sriharsha Veeramachaneni (IJCAI, 2007)

Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields. - Sriharsha Veeramachaneni; George Nagy (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Surrogate Learning - An Approach for Semi-Supervised Classification - Sriharsha Veeramachaneni; Ravikumar Kondadadi (CoRR, 2008)

Adaptive and Interactive Approaches to Document Analysis. - George Nagy; Sriharsha Veeramachaneni (Machine Learning in Document Analysis and Recognition, 2008)

Thomson Reuters at TAC 2009: ContextChain and Fractional Conditional Compressibility of Models. - Frank Schilder; Ravi Kondadadi; Harsha Veeramachaneni (TAC, 2009)

Learning to Interpret Cognitive States from fMRI Brain Images. - Diego Sona; Emanuele Olivetti; Paolo Avesani; Sriharsha Veeramachaneni (Computational Intelligence and Bioengineering, 2009)

Unsupervised learning for reranking-based patent retrieval. - Wenhui Liao; Sriharsha Veeramachaneni (PaIR@CIKM, 2010)

Brain connectivity analysis by reduction to pair classification. - Emanuele Olivetti; Sriharsha Veeramachaneni; Susanne Greiner; Paolo Avesani (CIP, 2010)

Named Entity Recognition and Resolution in Legal Text. - Christopher Dozier; Ravikumar Kondadadi; Marc Light; Arun Vachher; Sriharsha Veeramachaneni; Ramdev Wudali (Semantic Processing of Legal Texts, 2010)

Public record aggregation using semi-supervised entity resolution. - Jack G. Conrad; Christopher Dozier; Hugo Molina-Salgado; Merine Thomas; Sriharsha Veeramachaneni (ICAIL, 2011)

Testing for Information with Brain Decoding. - Emanuele Olivetti; Sriharsha Veeramachaneni; Paolo Avesani (PRNI, 2011)

Time-series Scenario Forecasting - Sriharsha Veeramachaneni (CoRR, 2012)

Bayesian hypothesis testing for pattern discrimination in brain decoding. - Emanuele Olivetti; Sriharsha Veeramachaneni; Ewa Nowakowska (Pattern Recognit., 2012)

Day-ahead electricity market forecasting using kernels. - Vassilis Kekatos; Sriharsha Veeramachaneni; Marc Light; Georgios B. Giannakis (ISGT, 2013)

Power grid probing for load learning: Identifiability over multiple time instances. - Siddharth Bhela; Vassilis Kekatos; Sriharsha Veeramachaneni (CAMSAP, 2017)

Power distribution system observability with smart meter data. - Siddharth Bhela; Vassilis Kekatos; Sriharsha Veeramachaneni (GlobalSIP, 2017)

Enhancing observability in power distribution grids. - Siddharth Bhela; Vassilis Kekatos; Liang Zhang 006; Sriharsha Veeramachaneni (ICASSP, 2017)

Enhancing Observability in Distribution Grids Using Smart Meter Data. - Siddharth Bhela; Vassilis Kekatos; Sriharsha Veeramachaneni (IEEE Trans. Smart Grid, 2018)

Voltage Analytics for Power Distribution Network Topology Verification. - Guido Cavraro; Vassilis Kekatos; Sriharsha Veeramachaneni (IEEE Trans. Smart Grid, 2019)

Strategic Investment in Energy Markets: A Multiparametric Programming Approach. - Sina Taheri; Vassilis Kekatos; Harsha Veeramachaneni (CoRR, 2020)

Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models. - Sina Taheri; Vassilis Kekatos; Harsha Veeramachaneni; Baosen Zhang (CoRR, 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)