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Viewing Publication 1 - 44 from 44

2023

Single-objective and multi-objective optimization for variance counterbalancing in stochastic learningDimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris. asc, 142:110331, 2023. [doi]

SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learningDimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris. simpa, 17:100526, September 2023. [doi]

2020

Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface ConditionsPola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris. ijait, 29(5), 2020. [doi]

Variance Counterbalancing for Stochastic Large-scale LearningPola Lydia Lagari, Lefteri H. Tsoukalas, Isaac E. Lagaris. ijait, 29(5), 2020. [doi]

2015

Modeling of blood flow through sutured micro-vascular anastomosesGeorgia S. Karanasiou, Dimitrios A. Gatsios, Marios G. Lykissas, Kostas A. Stefanou, George A. Rigas, Isaac E. Lagaris, Ioannis P. Kostas-Agnantis, Ioannis Gkiatas, Alexandros E. Beris, Dimitrios I. Fotiadis. embc 2015: 1877-1880 [doi]

Fluid-structure interaction analysis of anastomosis in patient specific arterial segmentGeorgia S. Karanasiou, Dimitrios A. Gatsios, Marios G. Lykissas, Kostas A. Stefanou, George A. Rigas, Isaac E. Lagaris, Ioannis P. Kostas-Agnantis, Ioannis Gkiatas, Alexandros E. Beris, Antonis I. Sakellarios, Dimitrios I. Fotiadis. bibe 2015: 1-4 [doi]

p-MEMPSODE: Parallel and irregular memetic global optimizationConstantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis. cphysics, 197:190-211, 2015. [doi]

2014

Supporting adaptive and irregular parallelism for non-linear numerical optimizationPanagiotis E. Hadjidoukas, Costas Voglis, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou. amc, 231:544-559, 2014. [doi]

NDL-v2.0: A new version of the numerical differentiation library for parallel architecturesPanagiotis E. Hadjidoukas, P. Angelikopoulos, Costas Voglis, Dimitris G. Papageorgiou, Isaac E. Lagaris. cphysics, 185(7):2217-2219, 2014. [doi]

2013

2012

Particle swarm optimization with deliberate loss of informationCostas Voglis, Konstantinos E. Parsopoulos, Isaac E. Lagaris. soco, 16(8):1373-1392, 2012. [doi]

MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbedCostas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris. gecco 2012: 245-252 [doi]

MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization frameworkCostas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris. gecco 2012: 253-260 [doi]

MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searchesConstantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis. cphysics, 183(5):1139-1154, 2012. [doi]

2011

High-Performance Numerical Optimization on Multicore ClustersPanagiotis E. Hadjidoukas, Constantinos Voglis, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou. europar 2011: 353-364 [doi]

Task-parallel global optimization with application to protein foldingConstantinos Voglis, Panagiotis E. Hadjidoukas, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou. ieeehpcs 2011: 186-192 [doi]

2009

Newtonian Spectral ClusteringKonstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris. icann 2009: 145-154 [doi]

Towards Ideal Multistart . A stochastic approach for locating the minima of a continuous function inside a bounded domainConstantinos Voglis, Isaac E. Lagaris. amc, 213(1):216-229, 2009. [doi]

A numerical differentiation library exploiting parallel architecturesConstantinos Voglis, Panagiotis E. Hadjidoukas, Isaac E. Lagaris, D. G. Papageorgiou. cphysics, 180(8):1404-1415, 2009. [doi]

2008

Stopping rules for box-constrained stochastic global optimizationIsaac E. Lagaris, Ioannis G. Tsoulos. amc, 197(2):622-632, 2008. [doi]

GenMin: An enhanced genetic algorithm for global optimizationIoannis G. Tsoulos, Isaac E. Lagaris. cphysics, 178(11):843-851, 2008. [doi]

MinFinder v2.0: An improved version of MinFinderIoannis G. Tsoulos, Isaac E. Lagaris. cphysics, 179(8):614-615, 2008. [doi]

2007

Split-Merge Incremental LEarning (SMILE) of Mixture ModelsKonstantinos Blekas, Isaac E. Lagaris. icann 2007: 291-300 [doi]

Newtonian clustering: An approach based on molecular dynamics and global optimizationKonstantinos Blekas, Isaac E. Lagaris. PR, 40(6):1734-1744, 2007. [doi]

Design of quantum filters with pre-determined reflection and transmission propertiesS. A. Sofianos, G. J. Rampho, H. Azemtsa Donfack, Isaac E. Lagaris, H. Leeb. mj, 38(2):235-244, 2007. [doi]

2006

2005

A spatially constrained mixture model for image segmentationKonstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris. tnn, 16(2):494-498, 2005. [doi]

Mixture model analysis of DNA microarray imagesKonstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris. tmi, 24(7):901-909, 2005. [doi]

Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural NetworksIoannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas. npsc, 13:161-178, 2005.

2004

Mixture model based image segmentation with spatial constraintsKonstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris. eusipco 2004: 2119-2122 [doi]

2003

A Portable Decision Making Tool for Health Professionals Based on Neural NetworksF. Vartziotis, Dimitrios I. Fotiadis, Aristidis Likas, Isaac E. Lagaris. hij, 9(4):273-282, 2003. [doi]

2002

Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel ComputationIoannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas. setn 2002: 314-324 [doi]

Solving differential equations with neural networks: implementation on a DSP platformKonstantinos Valasoulis, D. L. Fotiadis, Isaac E. Lagaris, Aristidis Likas. icdsp 2002: 1265-1268 [doi]

2000

Neural-network methods for boundary value problems with irregular boundariesIsaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou. tnn, 11(5):1041-1049, 2000. [doi]

1999

Training Reinforcement Neurocontrollers Using the Polytope AlgorithmAristidis Likas, Isaac E. Lagaris. npl, 9(2):119-127, 1999.

1998

A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization StrategyDimitris A. Karras, Isaac E. Lagaris. euromicro 1998: 20683-20687 [doi]

Artificial neural networks for solving ordinary and partial differential equationsIsaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis. tnn, 9(5):987-1000, 1998. [doi]

Neural network training and simulation using a multidimensional optimization systemAristidis Likas, Dimitris A. Karras, Isaac E. Lagaris. ijcm, 67(1-2):33-46, 1998. [doi]

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