Haimonti Dutta

According to our database1, Haimonti Dutta authored at least 38 papers between 2002 and 2022.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


A Consensus Algorithm for Linear Support Vector Machines.
Manag. Sci., 2022

PNRank: Unsupervised ranking of person name entities from noisy OCR text.
Decis. Support Syst., 2022

Consensus Based Multi-Layer Perceptrons for Edge Computing.
CoRR, 2021

Consensus Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing.
Proceedings of the Discovery Science - 24th International Conference, 2021

Impact of Community Structure on Consensus Machine Learning.
CoRR, 2020

Consensus-based modeling using distributed feature construction with ILP.
Mach. Learn., 2018

A system for intergroup prejudice detection: The case of microblogging under terrorist attacks.
Decis. Support Syst., 2018

GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs.
CoRR, 2018

A Machine Learning Approach to Quantitative Prosopography.
CoRR, 2018

Ranking Clinical Trials Using Elasticsearch.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Classification of crowdsourced text correction.
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

NILMTK v0.2: A Non-intrusive Load Monitoring Toolkit for Large Scale Data Sets.
CoRR, 2014

Consensus-Based Modelling using Distributed Feature Construction.
CoRR, 2014

Data Driven Energy Efficiency in Buildings.
CoRR, 2014

NILMTK v0.2: a non-intrusive load monitoring toolkit for large scale data sets: demo abstract.
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014

NILMTK: an open source toolkit for non-intrusive load monitoring.
Proceedings of the Fifth International Conference on Future Energy Systems, 2014

INDiC: Improved Non-intrusive Load Monitoring Using Load Division and Calibration.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Peer-to-peer distributed text classifier learning in PADMINI.
Stat. Anal. Data Min., 2012

Machine Learning for theNew York City Power Grid.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Leveraging Subjective Human Annotation for Clustering Historic Newspaper Articles
CoRR, 2012

Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

Multivariate Assessment of a Repair Program for a New York City Electrical Grid.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Topic 5: Parallel and Distributed Data Management.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Learning Parameters of the K-Means Algorithm From Subjective Human Annotation.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Distributed Storage of Large-Scale Multidimensional Electroencephalogram Data Using Hadoop and HBase.
Proceedings of the Grid and Cloud Database Management, 2011

A process for predicting manhole events in Manhattan.
Mach. Learn., 2010

Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Measuring Diversity in Regression Ensembles.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

Ranking Electrical Feeders of the New York Power Grid.
Proceedings of the International Conference on Machine Learning and Applications, 2009

TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents.
Proceedings of the ICDM Workshops 2009, 2009

Distributed Optimization Strategies for Mining on Peer-to-Peer Networks.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Distributed Linear Programming and Resource Management for Data Mining in Distributed Environments.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Distributed Top-K Outlier Detection from Astronomy Catalogs using the DEMAC System.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Orthogonal Decision Trees.
IEEE Trans. Knowl. Data Eng., 2006

Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices.
Proceedings of the High Performance Computing, 2005

Orthogonal Decision Trees.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Analysis of privacy preserving random perturbation techniques: further explorations.
Proceedings of the 2003 ACM Workshop on Privacy in the Electronic Society, 2003

Fast and effective characterization of 3D region data.
Proceedings of the 2002 International Conference on Image Processing, 2002