According to our database1, Haimonti Dutta authored at least 27 papers between 2002 and 2018.
Legend:Book In proceedings Article PhD thesis Other
Consensus-based modeling using distributed feature construction with ILP.
Machine Learning, 2018
A system for intergroup prejudice detection: The case of microblogging under terrorist attacks.
Decision Support Systems, 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: 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.
Statistical Analysis and Data Mining, 2012
Machine Learning for theNew York City Power Grid.
IEEE Trans. Pattern Anal. Mach. Intell., 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.
Machine Learning, 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