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2020 – today
- 2024
[j34]Magfura Pervin, Asim Paul, Sankar Kumar Roy, Dharma Lesmono, Leonidas Sakalauskas:
An integrated vendor-buyer model with sustainability and remanufacturing of returned product. RAIRO Oper. Res. 58(4): 3291-3319 (2024)- 2023
- [j33]Haripriya Barman
, Sankar Kumar Roy, Leonidas Sakalauskas, Gerhard-Wilhelm Weber:
Inventory model involving reworking of faulty products with three carbon policies under neutrosophic environment. Adv. Eng. Informatics 57: 102081 (2023) - 2021
- [j32]Jurate Vaiciulyte, Leonidas Sakalauskas:
Isolated Word Recognition by Recursive HMM Parameter Estimation Algorithm. Comput. Informatics 40(2) (2021) - [j31]Igoris Belovas, Leonidas Sakalauskas, Vadimas Starikovicius, Edward W. Sun:
Mixed-Stable Models: An Application to High-Frequency Financial Data. Entropy 23(6): 739 (2021) - [j30]Saulius Minkevicius, Leonidas Sakalauskas:
On the law of iterated logarithm for extreme queue length in an open queueing network. Int. J. Comput. Math. Comput. Syst. Theory 6(3): 220-235 (2021) - 2020
- [j29]Ruta Dadeliene, Stanislav Dadelo, Natalija Pozniak, Leonidas Sakalauskas:
Analysis of top kayakers' training-intensity distribution and physiological adaptation based on structural modelling. Ann. Oper. Res. 289(2): 195-210 (2020) - [j28]Rasa Karbauskaite, Leonidas Sakalauskas, Gintautas Dzemyda:
Kriging Predictor for Facial Emotion Recognition Using Numerical Proximities of Human Emotions. Informatica 31(2): 249-275 (2020)
2010 – 2019
- 2019
- [j27]Donatas Kavaliauskas, Leonidas Sakalauskas:
Study of Convergence in Metaheuristics Algorithms. Balt. J. Mod. Comput. 7(3) (2019) - [j26]Jurate Vaiciulyte, Leonidas Sakalauskas:
Recursive estimation of multivariate hidden Markov model parameters. Comput. Stat. 34(3): 1337-1353 (2019) - [j25]Natalija Pozniak, Leonidas Sakalauskas, Laura Saltyte:
Kriging Model with Fractional Euclidean Distance Matrices. Informatica 30(2): 367-390 (2019) - [j24]Darius Plikynas, Leonidas Sakalauskas, Aistis Raudys:
Conceptual Modelling of Brain State Dynamics as Free Energy and Entropy-Based Processes. Informatica 30(4): 749-780 (2019) - [j23]Liudvikas Kaklauskas, Leonidas Sakalauskas, Vitalijus Denisovas:
Stalling for solving slow server problem. RAIRO Oper. Res. 53(4): 1097-1107 (2019) - [c5]Darius Plikynas, Rimvydas Lauzikas, Leonidas Sakalauskas, Arunas Miliauskas, Vytautas Dulskis:
Agent-Based Simulation of Cultural Events Impact on Social Capital Dynamics. IntelliSys (1) 2019: 1138-1154 - 2018
- [j22]Albertas Jurgelevicius, Leonidas Sakalauskas:
Big Data Mining Using Public Distributed Computing. Inf. Technol. Control. 47(2): 236-248 (2018) - [j21]Ana Uspuriene, Leonidas Sakalauskas, Gediminas Gricius:
Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem. Inf. Technol. Control. 47(4): 728-738 (2018) - 2017
- [j20]Ana Uspuriene, Leonidas Sakalauskas, Valerijonas Dumskis:
Financial Resource Allocation in Higher Education. Informatics Educ. 16(2): 289-300 (2017) - [j19]Igoris Belovas, Leonidas Sakalauskas, Vadimas Starikovicius:
A Mixed-Stable Approach to the Management of the Portfolio Using High-Frequency Financial Data. Inf. Technol. Control. 46(3): 295-307 (2017) - 2015
- [j18]Valerijonas Dumskis, Leonidas Sakalauskas:
Nonlinear Stochastic Programming Involving CVaR in the Objective and Constraints. Informatica 26(4): 569-591 (2015) - [j17]Vladimiras Dolgopolovas, Valentina Dagiene, Saulius Minkevicius, Leonidas Sakalauskas:
Teaching Scientific Computing: A Model-Centered Approach to Pipeline and Parallel Programming with C. Sci. Program. 2015: 820803:1-820803:18 (2015) - 2014
- [j16]Loreta Savulioniene, Leonidas Sakalauskas:
A Stochastic Algorithm of Frequent Set Search for Mining Association Rules. Inf. Technol. Control. 43(2): 121-132 (2014) - [j15]Vladimiras Dolgopolovas, Valentina Dagiene, Saulius Minkevicius, Leonidas Sakalauskas:
Python for scientific computing education: Modeling of queueing systems. Sci. Program. 22(1): 37-51 (2014) - 2013
- [j14]Liudvikas Kaklauskas, Leonidas Sakalauskas:
Study of on-line measurement of traffic self-similarity. Central Eur. J. Oper. Res. 21(1): 63-84 (2013) - [j13]Leonidas Sakalauskas:
Locally Homogeneous and Isotropic Gaussian Fields in Kriging. Informatica 24(2): 253-274 (2013) - [c4]Loreta Savulioniene, Leonidas Sakalauskas:
Modified Stochastic Algorithm for Mining Frequent Subsequences. ICIST 2013: 222-235 - 2012
- [j12]Saulius Minkevicius, Leonidas Sakalauskas:
Modeling of the Phenomena in Multiserver Networks. Inf. Technol. Control. 41(2): 125-135 (2012) - [c3]Leonidas Sakalauskas, Ingrida Vaiciulyte:
Maximum Likelihood Estimation of Multivariate Skew t-Distribution. ICORES 2012: 200-203 - [c2]Vaidas Giedrimas, Leonidas Sakalauskas:
Simulated annealing and variable neighborhood search algorithm for automated software services composition. MIPRO 2012: 395-399 - 2011
- [j11]Gintautas Dzemyda, Leonidas Sakalauskas:
Large-Scale Data Analysis Using Heuristic Methods. Informatica 22(1): 1-10 (2011)
2000 – 2009
- 2009
- [j10]Gintautas Dzemyda, Leonidas Sakalauskas:
Optimization and Knowledge-Based Technologies. Informatica 20(2): 165-172 (2009) - 2007
- [j9]Vaida Bartkute, Leonidas Sakalauskas:
Simultaneous perturbation stochastic approximation of nonsmooth functions. Eur. J. Oper. Res. 181(3): 1174-1188 (2007) - [j8]Darius Grigaitis, Vaida Bartkute, Leonidas Sakalauskas:
An Optimization of System for Automatic Recognition of Ischemic Stroke Areas in Computed Tomography Images. Informatica 18(4): 603-614 (2007) - 2006
- [j7]Leonidas Sakalauskas, Jakob Krarup:
Heuristic and stochastic methods in optimization. Eur. J. Oper. Res. 171(3): 723-724 (2006) - [j6]Leonidas Sakalauskas:
Modelling and simulation of business systems. Eur. J. Oper. Res. 175(3): 1339 (2006) - 2004
- [j5]Leonidas Sakalauskas:
Financial risk in open economies. Eur. J. Oper. Res. 155(2): 267 (2004) - [j4]Leonidas Sakalauskas:
Application of the Monte-Carlo Method to Nonlinear Stochastic Optimization with Linear Constraints. Informatica 15(2): 271-282 (2004) - [c1]Leonidas Sakalauskas:
Towards Implementable Nonlinear Stochastic Programming. Coping with Uncertainty 2004: 257-279 - 2002
- [j3]Leonidas Sakalauskas:
Nonlinear stochastic programming by Monte-Carlo estimators. Eur. J. Oper. Res. 137(3): 558-573 (2002) - 2000
- [j2]Leonidas Sakalauskas, Saulius Minkevicius:
On the law of the iterated logarithm in open queueing networks. Eur. J. Oper. Res. 120(3): 632-640 (2000) - [j1]Leonidas Sakalauskas:
Nonlinear Stochastic Optimization by the Monte-Carlo Method. Informatica 11(4): 455-468 (2000)
Coauthor Index
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