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Sumitra Mukherjee
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2020 – today
- 2023
- [j14]Michael J. Laszlo, Sumitra Mukherjee:
Counting Star-Battle Configurations. Math. Comput. Sci. 17(2): 8 (2023) - 2020
- [c18]Alexander Verner, Sumitra Mukherjee:
An LSTM-Based Method for Detection and Classification of Sensor Anomalies. ICMLT 2020: 39-45
2010 – 2019
- 2018
- [c17]Aiman Darwiche, Sumitra Mukherjee:
Machine Learning Methods for Septic Shock Prediction. AIVR 2018: 104-110 - [c16]Svitlana Galeshchuk, Sumitra Mukherjee:
Cooperative Agents for Discovering Pareto-Optimal Classifiers Under Dynamic Costs. PAAMS 2018: 164-174 - 2017
- [j13]Svitlana Galeshchuk, Sumitra Mukherjee:
Deep networks for predicting direction of change in foreign exchange rates. Intell. Syst. Account. Finance Manag. 24(4): 100-110 (2017) - [c15]Svitlana Galeshchuk, Sumitra Mukherjee:
FOREX Trading Strategy Optimization. Decision Economics@DCAI 2017: 69-76 - [c14]Svitlana Galeshchuk, Sumitra Mukherjee:
Deep Learning for Predictions in Emerging Currency Markets. ICAART (2) 2017: 681-686 - [c13]Svitlana Galeshchuk, Sumitra Mukherjee:
Evolving Trading Signals at Foreign Exchange Market. PAAMS (Workshops) 2017: 107-116 - 2016
- [c12]Newton Campbell Jr., Michael J. Laszlo, Sumitra Mukherjee:
Landmark routing for large graphs in fixed-memory environments. HPEC 2016: 1-7 - 2015
- [j12]Michael J. Laszlo, Sumitra Mukherjee:
Iterated local search for microaggregation. J. Syst. Softw. 100: 15-26 (2015) - 2013
- [j11]Michael J. Laszlo, Sumitra Mukherjee:
Optimal univariate microaggregation with data suppression. J. Syst. Softw. 86(3): 677-682 (2013) - [c11]Stephen C. Dinkel, William Hafner, Paulo C. G. Costa, Sumitra Mukherjee:
Service-based situational awareness on the Semantic Web. CogSIMA 2013: 246-253 - 2011
- [c10]Stephen C. Dinkel, William Hafner, Paulo C. G. Costa, Sumitra Mukherjee:
Uncertainty reasoning for service-based situational awareness information on the Semantic Web. CogSIMA 2011: 102-105 - [c9]Krishnaveni Palaniappan, Sumitra Mukherjee:
Predicting "Essential" Genes across Microbial Genomes: A Machine Learning Approach. ICMLA (2) 2011: 189-194
2000 – 2009
- 2009
- [j10]Michael J. Laszlo, Sumitra Mukherjee:
Approximation Bounds for Minimum Information Loss Microaggregation. IEEE Trans. Knowl. Data Eng. 21(11): 1643-1647 (2009) - 2008
- [j9]Michael J. Laszlo, Sumitra Mukherjee:
An approximation algorithm for network design problems with downwards-monotone demand functions. Optim. Lett. 2(2): 171-175 (2008) - 2007
- [j8]Michael J. Laszlo, Sumitra Mukherjee:
A genetic algorithm that exchanges neighboring centers for k-means clustering. Pattern Recognit. Lett. 28(16): 2359-2366 (2007) - 2006
- [j7]Michael J. Laszlo, Sumitra Mukherjee:
A class of heuristics for the constrained forest problem. Discret. Appl. Math. 154(1): 6-14 (2006) - [j6]Michael J. Laszlo, Sumitra Mukherjee:
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 533-543 (2006) - 2005
- [j5]Michael J. Laszlo, Sumitra Mukherjee:
Another greedy heuristic for the constrained forest problem. Oper. Res. Lett. 33(6): 629-633 (2005) - [j4]Michael J. Laszlo, Sumitra Mukherjee:
Minimum Spanning Tree Partitioning Algorithm for Microaggregation. IEEE Trans. Knowl. Data Eng. 17(7): 902-911 (2005) - 2003
- [j3]Stephen Lee Hansen, Sumitra Mukherjee:
A Polynomial Algorithm for Optimal Univariate Microaggregation. IEEE Trans. Knowl. Data Eng. 15(4): 1043-1044 (2003) - [c8]Randy Justice, Sumitra Mukherjee:
Inferential Disclosure Limitation in Multivariate Categorical Databases. Security and Management 2003: 650-653 - 2000
- [c7]Raghu Korrapati, Sumitra Mukherjee, Kakarla V. Chalam:
A Bayesian Framework to Determine Patient Compliance in Glaucoma Cases. AMIA 2000
1990 – 1999
- 1999
- [c6]Alfiedo Cruz, Sumitra Mukherjee:
PLAGA: a highly parallelizable genetic algorithm for programmable logic arrays test pattern generation. CEC 1999: 944-954 - 1998
- [c5]Sumitra Mukherjee:
Should Non-Sensitive Attributes be Masked? Data Quality Implications of Data Perturbation in Regression Analysis. HICSS (6) 1998: 223- - 1997
- [c4]Sumitra Mukherjee, George T. Duncan:
Disclosure Limitation through Additive Noise Data Masking: Analysis of Skewed Sensitive Data. HICSS (3) 1997: 581- - 1996
- [c3]Sumit Dutta Chowdhury, George T. Duncan, Ramayya Krishnan, Stephen F. Roehrig, Sumitra Mukherjee:
Logical vs. Numerical Inference on Statistical Databases. HICSS (2) 1996: 3- - 1995
- [j2]George T. Duncan, Ramayya Krishnan, Sumitra M. Mukherjee:
Inference channel detection in multilevel relational databases: A graph-based approach. J. Organ. Comput. 5(2): 123-138 (1995) - 1992
- [j1]Hemant K. Bhargava, Ramayya Krishnan, Sumitra Mukherjee:
On the integration of data and mathematical modeling languages. Ann. Oper. Res. 38(1): 69-95 (1992) - [c2]George T. Duncan, Sumitra Mukherjee:
Disclosure Limitation using Autocorrelated Noise. DBSec 1992: 211-224 - 1991
- [c1]George T. Duncan, Sumitra Mukherjee:
Microdata Disclosure Limitation in Statistical Databases: Query Size and Random Sample Query Control. S&P 1991: 278-287
Coauthor Index
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