Haimonti Dutta

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 10

Top Topics

Large Scale Data Sets

Linear Support Vector Machines

Vertically Partitioned

Top Venues

Decis. Support Syst.

Publications

Haimonti Dutta, Aayushee Gupta
PNRank: Unsupervised ranking of person name entities from noisy OCR text. Decis. Support Syst. 152 (2022)
Haimonti Dutta
A Consensus Algorithm for Linear Support Vector Machines. Manag. Sci. 68 (5) (2022)
Haimonti Dutta, Saurabh Amarnath Mahindre, Nitin Nataraj
Consensus Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing. DS (2021)
Haimonti Dutta, Nitin Nataraj, Saurabh Amarnath Mahindre
Consensus Based Multi-Layer Perceptrons for Edge Computing. CoRR (2021)
Bao Huynh, Haimonti Dutta, Dane Taylor
Impact of Community Structure on Consensus Machine Learning. CoRR (2020)
Haimonti Dutta, Nitin Nataraj
GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs. CoRR (2018)
Haimonti Dutta, Kyounghee Hazel Kwon, H. Raghav Rao
A system for intergroup prejudice detection: The case of microblogging under terrorist attacks. Decis. Support Syst. 113 (2018)
Aayushee Gupta, Haimonti Dutta, Srikanta Bedathur, Lipika Dey
A Machine Learning Approach to Quantitative Prosopography. CoRR (2018)
Haimonti Dutta, Ashwin Srinivasan
Consensus-based modeling using distributed feature construction with ILP. Mach. Learn. 107 (5) (2018)
Ajinkya Yogesh Thorve, Haimonti Dutta
Ranking Clinical Trials Using Elasticsearch. TREC (2017)
Megha Gupta, Haimonti Dutta, Brian Geiger
Classification of crowdsourced text correction. CODS (2015)
Nipun Batra, Jack Kelly, Oliver Parson, Haimonti Dutta, William J. Knottenbelt, Alex Rogers, Amarjeet Singh, Mani B. Srivastava
NILMTK: an open source toolkit for non-intrusive load monitoring. e-Energy (2014)
Haimonti Dutta, Ashwin Srinivasan
Consensus-Based Modelling using Distributed Feature Construction. CoRR (2014)
Jack Kelly, Nipun Batra, Oliver Parson, Haimonti Dutta, William J. Knottenbelt, Alex Rogers, Amarjeet Singh, Mani B. Srivastava
NILMTK v0.2: a non-intrusive load monitoring toolkit for large scale data sets: demo abstract. BuildSys@SenSys (2014)
Nipun Batra, Amarjeet Singh, Pushpendra Singh, Haimonti Dutta, Venkatesh Sarangan, Mani B. Srivastava
Data Driven Energy Efficiency in Buildings. CoRR (2014)
Jack Kelly, Nipun Batra, Oliver Parson, Haimonti Dutta, William J. Knottenbelt, Alex Rogers, Amarjeet Singh, Mani B. Srivastava
NILMTK v0.2: A Non-intrusive Load Monitoring Toolkit for Large Scale Data Sets. CoRR (2014)
Nipun Batra, Haimonti Dutta, Amarjeet Singh
INDiC: Improved Non-intrusive Load Monitoring Using Load Division and Calibration. ICMLA (1) (2013)
Cynthia Rudin, David L. Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome
Machine Learning for theNew York City Power Grid. IEEE Trans. Pattern Anal. Mach. Intell. 34 (2) (2012)
Xianshu Zhu, Tushar Mahule, Haimonti Dutta, Sugandha Arora, Hillol Kargupta, Kirk D. Borne
Peer-to-peer distributed text classifier learning in PADMINI. Stat. Anal. Data Min. 5 (5) (2012)
Domenico Talia, Alex Delis, Haimonti Dutta, Arkady B. Zaslavsky
Topic 5: Parallel and Distributed Data Management. Euro-Par (2012)
Haimonti Dutta, William Chan, Deepak Shankargouda, Manoj Pooleery, Axinia Radeva, Kyle Rego, Boyi Xie, Rebecca J. Passonneau, Austin Lee, Barbara Taranto
Leveraging Subjective Human Annotation for Clustering Historic Newspaper Articles CoRR (2012)
Rebecca J. Passonneau, Ashish Tomar, Somnath Sarkar, Haimonti Dutta, Axinia Radeva
Multivariate Assessment of a Repair Program for a New York City Electrical Grid. ICMLA (2) (2012)
Boyi Xie, Rebecca J. Passonneau, Haimonti Dutta, Jing-Yeu Miaw, Axinia Radeva, Ashish Tomar, Cynthia Rudin
Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid. SEKE (2012)
Haimonti Dutta, Rebecca J. Passonneau, Austin Lee, Axinia Radeva, Boyi Xie, David L. Waltz
Learning Parameters of the K-Means Algorithm From Subjective Human Annotation. FLAIRS Conference (2011)
Cynthia Rudin, Rebecca J. Passonneau, Axinia Radeva, Haimonti Dutta, Steve Ierome, Delfina Isaac
A process for predicting manhole events in Manhattan. Mach. Learn. 80 (1) (2010)
Haimonti Dutta, David L. Waltz, Karthik M. Ramasamy, Philip Gross, Ansaf Salleb-Aouissi, Hatim Diab, Manoj Pooleery, Catherine A. Schevon, Ronald Emerson
Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering. ICMLA (2010)
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol Kargupta, Kirk D. Borne, Codrina Lauth, Florian Holz, Gerhard Heyer
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents. ICDM Workshops (2009)
Haimonti Dutta
Measuring Diversity in Regression Ensembles. IICAI (2009)
Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta, Albert Boulanger
Ranking Electrical Feeders of the New York Power Grid. ICMLA (2009)
Haimonti Dutta, Ananda Matthur
Distributed Optimization Strategies for Mining on Peer-to-Peer Networks. ICMLA (2008)
Haimonti Dutta, Hillol Kargupta
Distributed Linear Programming and Resource Management for Data Mining in Distributed Environments. ICDM Workshops (2008)
Haimonti Dutta, Chris Giannella, Kirk D. Borne, Hillol Kargupta
Distributed Top-K Outlier Detection from Astronomy Catalogs using the DEMAC System. SDM (2007)
Hillol Kargupta, Byung-Hoon Park, Haimonti Dutta
Orthogonal Decision Trees. IEEE Trans. Knowl. Data Eng. 18 (8) (2006)
Haimonti Dutta, Hillol Kargupta, Anupam Joshi
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices. HiPC (2005)
Hillol Kargupta, Haimonti Dutta
Orthogonal Decision Trees. ICDM (2004)
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Krishnamoorthy Sivakumar
Analysis of privacy preserving random perturbation techniques: further explorations. WPES (2003)
Vasileios Megalooikonomou, Haimonti Dutta, Despina Kontos
Fast and effective characterization of 3D region data. ICIP (1) (2002)