Counting Star-Battle Configurations.

Sumitra Mukherjee Sumitra M. Mukherjee

Michael J. Laszlo Sumitra Mukherjee Counting Star-Battle Configurations. 8 2023 June 17 Math. Comput. Sci. 2 https://doi.org/10.1007/s11786-023-00558-7 db/journals/mics/mics17.html#LaszloM23

Alexander Verner Sumitra Mukherjee An LSTM-Based Method for Detection and Classification of Sensor Anomalies. 39-45 2020 ICMLT https://doi.org/10.1145/3409073.3409089 https://www.wikidata.org/entity/Q130923673 conf/icmlt/2020 db/conf/icmlt/icmlt2020.html#VernerM20 Aiman Darwiche Sumitra Mukherjee Machine Learning Methods for Septic Shock Prediction. 104-110 2018 AIVR https://doi.org/10.1145/3293663.3293673 conf/aivr2/2018 db/conf/aivr2/aivr2018.html#DarwicheM18 Svitlana Galeshchuk Sumitra Mukherjee Cooperative Agents for Discovering Pareto-Optimal Classifiers Under Dynamic Costs. 164-174 2018 PAAMS https://doi.org/10.1007/978-3-319-94580-4_13 conf/paams/2018 db/conf/paams/paams2018.html#GaleshchukM18

Svitlana Galeshchuk Sumitra Mukherjee Deep networks for predicting direction of change in foreign exchange rates. 100-110 2017 24 Intell. Syst. Account. Finance Manag. 4 https://doi.org/10.1002/isaf.1404 db/journals/isafm/isafm24.html#GaleshchukM17

Svitlana Galeshchuk Sumitra Mukherjee FOREX Trading Strategy Optimization. 69-76 2017 Decision Economics@DCAI https://doi.org/10.1007/978-3-319-60882-2_9 conf/dcai/2017de db/conf/dcai/de2017.html#GaleshchukM17 Svitlana Galeshchuk Sumitra Mukherjee Deep Learning for Predictions in Emerging Currency Markets. 681-686 2017 ICAART (2) https://doi.org/10.5220/0006250506810686 conf/icaart/2017-2 db/conf/icaart/icaart2017-2.html#GaleshchukM17 Svitlana Galeshchuk Sumitra Mukherjee Evolving Trading Signals at Foreign Exchange Market. 107-116 2017 PAAMS (Workshops) https://doi.org/10.1007/978-3-319-60285-1_9 conf/paams/2017w db/conf/paams/paams2017w.html#GaleshchukM17 Newton Campbell Jr. Michael J. Laszlo Sumitra Mukherjee Landmark routing for large graphs in fixed-memory environments. 1-7 2016 HPEC https://doi.org/10.1109/HPEC.2016.7761581 conf/hpec/2016 db/conf/hpec/hpec2016.html#CampbellLM16

Michael J. Laszlo Sumitra Mukherjee Iterated local search for microaggregation. 15-26 2015 100 J. Syst. Softw. https://doi.org/10.1016/j.jss.2014.10.012 db/journals/jss/jss100.html#LaszloM15

Michael J. Laszlo Sumitra Mukherjee Optimal univariate microaggregation with data suppression. 677-682 2013 86 J. Syst. Softw. 3 https://doi.org/10.1016/j.jss.2012.10.901 db/journals/jss/jss86.html#LaszloM13

Stephen C. Dinkel William Hafner Paulo C. G. Costa Sumitra Mukherjee Service-based situational awareness on the Semantic Web. 246-253 2013 CogSIMA https://doi.org/10.1109/CogSIMA.2013.6523854 conf/cogsima/2013 db/conf/cogsima/cogsima2013.html#DinkelHCM13 Stephen C. Dinkel William Hafner Paulo C. G. Costa Sumitra Mukherjee Uncertainty reasoning for service-based situational awareness information on the Semantic Web. 102-105 2011 CogSIMA https://doi.org/10.1109/COGSIMA.2011.5753425 conf/cogsima/2011 db/conf/cogsima/cogsima2011.html#DinkelHCM11 Krishnaveni Palaniappan Sumitra Mukherjee Predicting "Essential" Genes across Microbial Genomes: A Machine Learning Approach. 189-194 2011 ICMLA (2) https://doi.org/10.1109/ICMLA.2011.114 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2011.114 conf/icmla/2011-2 db/conf/icmla/icmla2011-2.html#PalaniappanM11

Michael J. Laszlo Sumitra Mukherjee Approximation Bounds for Minimum Information Loss Microaggregation. 1643-1647 2009 21 IEEE Trans. Knowl. Data Eng. 11 https://doi.org/10.1109/TKDE.2009.78 http://doi.ieeecomputersociety.org/10.1109/TKDE.2009.78 db/journals/tkde/tkde21.html#LaszloM09

Michael J. Laszlo Sumitra Mukherjee An approximation algorithm for network design problems with downwards-monotone demand functions. 171-175 2008 2 Optim. Lett. 2 https://doi.org/10.1007/s11590-007-0051-8 db/journals/ol/ol2.html#LaszloM08

Michael J. Laszlo Sumitra Mukherjee A genetic algorithm that exchanges neighboring centers for k-means clustering. 2359-2366 2007 28 Pattern Recognit. Lett. 16 https://doi.org/10.1016/j.patrec.2007.08.006 db/journals/prl/prl28.html#LaszloM07

Michael J. Laszlo Sumitra Mukherjee A class of heuristics for the constrained forest problem. 6-14 2006 154 Discret. Appl. Math. 1 https://doi.org/10.1016/j.dam.2005.06.006 db/journals/dam/dam154.html#LaszloM06

Michael J. Laszlo Sumitra Mukherjee A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering. 533-543 2006 28 IEEE Trans. Pattern Anal. Mach. Intell. 4 https://doi.org/10.1109/TPAMI.2006.66 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.66 https://www.wikidata.org/entity/Q51945100 db/journals/pami/pami28.html#LaszloM06

Michael J. Laszlo Sumitra Mukherjee Another greedy heuristic for the constrained forest problem. 629-633 2005 33 Oper. Res. Lett. 6 https://doi.org/10.1016/j.orl.2004.11.010 db/journals/orl/orl33.html#LaszloM05

Michael J. Laszlo Sumitra Mukherjee Minimum Spanning Tree Partitioning Algorithm for Microaggregation. 902-911 2005 17 IEEE Trans. Knowl. Data Eng. 7 https://doi.org/10.1109/TKDE.2005.112 http://doi.ieeecomputersociety.org/10.1109/TKDE.2005.112 db/journals/tkde/tkde17.html#LaszloM05

Stephen Lee Hansen Sumitra Mukherjee A Polynomial Algorithm for Optimal Univariate Microaggregation. 1043-1044 2003 15 IEEE Trans. Knowl. Data Eng. 4 https://doi.org/10.1109/TKDE.2003.1209020 http://doi.ieeecomputersociety.org/10.1109/TKDE.2003.1209020 db/journals/tkde/tkde15.html#HansenM03

Randy Justice Sumitra Mukherjee Inferential Disclosure Limitation in Multivariate Categorical Databases. 650-653 2003 conf/csreaSAM/2003-2 Security and Management db/conf/csreaSAM/csreaSAM2003-2.html#JusticeM03 Raghu Korrapati Sumitra Mukherjee Kakarla V. Chalam A Bayesian Framework to Determine Patient Compliance in Glaucoma Cases. 2000 AMIA https://knowledge.amia.org/amia-55142-a2000a-1.606968/t-002-1.608710/f-001-1.608711/a-298-1.609080/a-299-1.609077 conf/amia/2000 db/conf/amia/amia2000.html#KorrapatiMC00 Alfiedo Cruz Sumitra Mukherjee PLAGA: a highly parallelizable genetic algorithm for programmable logic arrays test pattern generation. 944-954 1999 CEC https://doi.org/10.1109/CEC.1999.782524 conf/cec/1999 db/conf/cec/cec1999.html#CruzM99 Sumitra Mukherjee Should Non-Sensitive Attributes be Masked? Data Quality Implications of Data Perturbation in Regression Analysis. 223- 1998 conf/hicss/1998 HICSS (6) https://doi.org/10.1109/HICSS.1998.654777 https://doi.ieeecomputersociety.org/10.1109/HICSS.1998.654777 db/conf/hicss/hicss1998.html#Mukherjee98 Sumitra Mukherjee George T. Duncan Disclosure Limitation through Additive Noise Data Masking: Analysis of Skewed Sensitive Data. 581- 1997 conf/hicss/1997 HICSS (3) https://doi.org/10.1109/HICSS.1997.661702 https://doi.ieeecomputersociety.org/10.1109/HICSS.1997.661702 db/conf/hicss/hicss1997.html#MukherjeeD97 Sumit Dutta Chowdhury George T. Duncan Ramayya Krishnan Stephen F. Roehrig Sumitra Mukherjee Logical vs. Numerical Inference on Statistical Databases. 3- 1996 conf/hicss/1996 HICSS (2) https://doi.org/10.1109/HICSS.1996.495374 https://doi.ieeecomputersociety.org/10.1109/HICSS.1996.495374 db/conf/hicss/hicss1996.html#ChowdhuryDKRM96

George T. Duncan Ramayya Krishnan Sumitra M. Mukherjee Inference channel detection in multilevel relational databases: A graph-based approach. 123-138 1995 5 J. Organ. Comput. 2 https://doi.org/10.1080/10919399509540246 db/journals/jocec/jocec5.html#DuncanKM95

Hemant K. Bhargava Ramayya Krishnan Sumitra Mukherjee On the integration of data and mathematical modeling languages. 69-95 1992 38 Ann. Oper. Res. 1 https://doi.org/10.1007/BF02283651 db/journals/anor/anor38.html#BhargavaKM92

George T. Duncan Sumitra Mukherjee Disclosure Limitation using Autocorrelated Noise. 211-224 1992 conf/dbsec/1992 DBSec db/conf/dbsec/dbsec92.html#DuncanM92 George T. Duncan Sumitra Mukherjee Microdata Disclosure Limitation in Statistical Databases: Query Size and Random Sample Query Control. 278-287 1991 conf/sp/1991 S&P db/conf/sp/sp1991.html#DuncanM91 https://doi.org/10.1109/RISP.1991.130795 https://doi.ieeecomputersociety.org/10.1109/RISP.1991.130795 Hemant K. Bhargava Newton Campbell Jr. Kakarla V. Chalam Sumit Dutta Chowdhury Paulo C. G. Costa Alfiedo Cruz Aiman Darwiche Stephen C. Dinkel George T. Duncan Svitlana Galeshchuk William Hafner Stephen Lee Hansen Randy Justice Raghu Korrapati Ramayya Krishnan Michael J. Laszlo Krishnaveni Palaniappan Stephen F. Roehrig Alexander Verner