Sumitra Mukherjee - researchr alias

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Viewing Publication 1 - 29 from 29

2020

An LSTM-Based Method for Detection and Classification of Sensor AnomaliesAlexander Verner, Sumitra Mukherjee. icmlt 2020: 39-45 [doi]

2018

Machine Learning Methods for Septic Shock PredictionAiman Darwiche, Sumitra Mukherjee. aivr2 2018: 104-110 [doi]

Cooperative Agents for Discovering Pareto-Optimal Classifiers Under Dynamic CostsSvitlana Galeshchuk, Sumitra Mukherjee. paams 2018: 164-174 [doi]

2017

2016

Landmark routing for large graphs in fixed-memory environmentsNewton Campbell, Michael J. Laszlo, Sumitra Mukherjee. hpec 2016: 1-7 [doi]

2015

Iterated local search for microaggregationMichael Laszlo, Sumitra Mukherjee. jss, 100:15-26, 2015. [doi]

2013

Service-based situational awareness on the Semantic WebStephen C. Dinkel, William Hafner, Paulo C. G. Costa, Sumitra Mukherjee. cogsima 2013: 246-253 [doi]

Optimal univariate microaggregation with data suppressionMichael Laszlo, Sumitra Mukherjee. jss, 86(3):677-682, 2013. [doi]

2011

Uncertainty reasoning for service-based situational awareness information on the Semantic WebStephen C. Dinkel, William Hafner, Paulo C. G. Costa, Sumitra Mukherjee. cogsima 2011: 102-105 [doi]

Predicting "Essential" Genes across Microbial Genomes: A Machine Learning ApproachKrishnaveni Palaniappan, Sumitra Mukherjee. icmla 2011: 189-194 [doi]

2008

An approximation algorithm for network design problems with downwards-monotone demand functionsMichael Laszlo, Sumitra Mukherjee. ol, 2(2):171-175, 2008. [doi]

2007

A genetic algorithm that exchanges neighboring centers for k-means clusteringMichael Laszlo, Sumitra Mukherjee. prl, 28(16):2359-2366, 2007. [doi]

2006

A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means ClusteringMichael Laszlo, Sumitra Mukherjee. pami, 28(4):533-543, 2006. [doi]

A class of heuristics for the constrained forest problemMichael Laszlo, Sumitra Mukherjee. DAM, 154(1):6-14, 2006. [doi]

2005

Another greedy heuristic for the constrained forest problemMichael Laszlo, Sumitra Mukherjee. orl, 33(6):629-633, 2005. [doi]

Minimum Spanning Tree Partitioning Algorithm for MicroaggregationMichael Laszlo, Sumitra Mukherjee. tkde, 17(7):902-911, 2005. [doi]

2003

A Polynomial Algorithm for Optimal Univariate MicroaggregationStephen Lee Hansen, Sumitra Mukherjee. tkde, 15(4):1043-1044, 2003. [doi]

Inferential Disclosure Limitation in Multivariate Categorical DatabasesRandy Justice, Sumitra Mukherjee. csreaSAM 2003: 650-653

2000

A Bayesian Framework to Determine Patient Compliance in Glaucoma CasesRaghu Korrapati, Sumitra Mukherjee, Kakarla V. Chalam. amia 2000: [doi]

1999

PLAGA: a highly parallelizable genetic algorithm for programmable logic arrays test pattern generationAlfiedo Cruz, Sumitra Mukherjee. cec 1999: 944-954 [doi]

1998

Should Non-Sensitive Attributes be Masked? Data Quality Implications of Data Perturbation in Regression AnalysisSumitra Mukherjee. hicss 1998: 223 [doi]

1997

Disclosure Limitation through Additive Noise Data Masking: Analysis of Skewed Sensitive DataSumitra Mukherjee, George T. Duncan. hicss 1997: 581 [doi]

1996

Logical vs. Numerical Inference on Statistical DatabasesSumit Dutta Chowdhury, George T. Duncan, Ramayya Krishnan, Stephen F. Roehrig, Sumitra Mukherjee. hicss 1996: 3 [doi]

1992

On the integration of data and mathematical modeling languagesHemant K. Bhargava, Ramayya Krishnan, Sumitra Mukherjee. anor, 38(1):69-95, 1992. [doi]

Disclosure Limitation using Autocorrelated NoiseGeorge T. Duncan, Sumitra Mukherjee. dbsec 1993: 211-224

1991

Microdata Disclosure Limitation in Statistical Databases: Query Size and Random Sample Query ControlGeorge T. Duncan, Sumitra Mukherjee. sp 1991: 278-287

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