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Isaac E. Lagaris
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2020 – today
- 2024
- [i4]Adam D. Kypriadis, Isaac E. Lagaris, Aristidis Likas, Konstantinos E. Parsopoulos:
Optimized neural forms for solving ordinary differential equations. CoRR abs/2404.19454 (2024) - 2023
- [j32]Dimitra G. Triantali
, Konstantinos E. Parsopoulos, Isaac E. Lagaris:
Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Appl. Soft Comput. 142: 110331 (2023) - [j31]Dimitra G. Triantali
SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Softw. Impacts 17: 100526 (2023) - 2021
- [i3]Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris:
Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending. CoRR abs/2104.14715 (2021) - 2020
- [j30]Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris:
Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions. Int. J. Artif. Intell. Tools 29(5): 2050009:1-2050009:12 (2020) - [j29]Pola Lydia Lagari, Lefteri H. Tsoukalas, Isaac E. Lagaris:
Variance Counterbalancing for Stochastic Large-scale Learning. Int. J. Artif. Intell. Tools 29(5): 2050010:1-2050010:10 (2020)
2010 – 2019
- 2016
- [j28]John C. Sarivougioukas, Aristides Th. Vagelatos
Prerequisites of Autonomous Software Operations in Home UbiHealth Described Formally with Denotational Mathematics. Int. J. Softw. Sci. Comput. Intell. 8(1): 16-31 (2016) - 2015
- [j27]Constantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis:
p-MEMPSODE: Parallel and irregular memetic global optimization. Comput. Phys. Commun. 197: 190-211 (2015) - [j26]John C. Sarivougioukas, Aristides Th. Vagelatos
Administration of Medical Contexts with Denotational Mathematics in Ubiquitous Computing Home Environments. Int. J. Softw. Sci. Comput. Intell. 7(2): 1-30 (2015) - [c15]John C. Sarivougioukas, Aristides Th. Vagelatos
Use of Denotational Mathematics for the formal description of autonomous migration and polymorphism as prerequisites for mobility in home UbiHealth. ICCI*CC 2015: 368-374 - [c14]Georgia S. Karanasiou
Fluid-structure interaction analysis of anastomosis in patient specific arterial segment. BIBE 2015: 1-4 - [c13]Georgia S. Karanasiou
Modeling of blood flow through sutured micro-vascular anastomoses. EMBC 2015: 1877-1880 - 2014
- [j25]Panagiotis E. Hadjidoukas
Supporting adaptive and irregular parallelism for non-linear numerical optimization. Appl. Math. Comput. 231: 544-559 (2014) - [j24]Panagiotis E. Hadjidoukas
NDL-v2.0: A new version of the numerical differentiation library for parallel architectures. Comput. Phys. Commun. 185(7): 2217-2219 (2014) - 2013
- [j23]Constantinos Voglis, Panagiotis E. Hadjidoukas
A parallel hybrid optimization algorithm for fitting interatomic potentials. Appl. Soft Comput. 13(12): 4481-4492 (2013) - [j22]Konstantinos Blekas, Isaac E. Lagaris:
A Spectral Clustering Approach Based on Newton's Equations of Motion. Int. J. Intell. Syst. 28(4): 394-410 (2013) - [c12]Costas Voglis, Panagiotis E. Hadjidoukas
Adaptive memetic particle swarm optimization with variable local search pool size. GECCO 2013: 113-120 - [c11]Costas Voglis, Dimitris G. Papageorgiou, Isaac E. Lagaris:
Concurrent Nomadic and Bundle Search: A Class of Parallel Algorithms for Local Optimization. PPAM (2) 2013: 343-353 - 2012
- [j21]Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis:
MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. Comput. Phys. Commun. 183(5): 1139-1154 (2012) - [j20]Costas Voglis, Konstantinos E. Parsopoulos, Isaac E. Lagaris:
Particle swarm optimization with deliberate loss of information. Soft Comput. 16(8): 1373-1392 (2012) - [c10]Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed. GECCO (Companion) 2012: 245-252 - [c9]Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris:
MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework. GECCO (Companion) 2012: 253-260 - 2011
- [c8]Panagiotis E. Hadjidoukas
High-Performance Numerical Optimization on Multicore Clusters. Euro-Par (2) 2011: 353-364 - [c7]Constantinos Voglis, Panagiotis E. Hadjidoukas
Task-parallel global optimization with application to protein folding. HPCS 2011: 186-192
2000 – 2009
- 2009
- [j19]Constantinos Voglis, Isaac E. Lagaris:
Towards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domain. Appl. Math. Comput. 213(1): 216-229 (2009) - [j18]Constantinos Voglis, Panagiotis E. Hadjidoukas
A numerical differentiation library exploiting parallel architectures. Comput. Phys. Commun. 180(8): 1404-1415 (2009) - [c6]Konstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris:
Newtonian Spectral Clustering. ICANN (2) 2009: 145-154 - 2008
- [j17]Isaac E. Lagaris, Ioannis G. Tsoulos:
Stopping rules for box-constrained stochastic global optimization. Appl. Math. Comput. 197(2): 622-632 (2008) - [j16]Ioannis G. Tsoulos, Isaac E. Lagaris:
GenMin: An enhanced genetic algorithm for global optimization. Comput. Phys. Commun. 178(11): 843-851 (2008) - [j15]Ioannis G. Tsoulos, Isaac E. Lagaris:
MinFinder v2.0: An improved version of MinFinder. Comput. Phys. Commun. 179(8): 614-615 (2008) - 2007
- [j14]S. A. Sofianos, Gaotsiwe Rampho
Design of quantum filters with pre-determined reflection and transmission properties. Microelectron. J. 38(2): 235-244 (2007) - [j13]Konstantinos Blekas, Isaac E. Lagaris:
Newtonian clustering: An approach based on molecular dynamics and global optimization. Pattern Recognit. 40(6): 1734-1744 (2007) - [c5]Konstantinos Blekas, Isaac E. Lagaris:
Split-Merge Incremental LEarning (SMILE) of Mixture Models. ICANN (2) 2007: 291-300 - 2006
- [j12]Ioannis G. Tsoulos, Isaac E. Lagaris:
Genetically controlled random search: a global optimization method for continuous multidimensional functions. Comput. Phys. Commun. 174(2): 152-159 (2006) - [j11]Ioannis G. Tsoulos, Isaac E. Lagaris:
MinFinder: Locating all the local minima of a function. Comput. Phys. Commun. 174(2): 166-179 (2006) - [j10]Ioannis G. Tsoulos, Isaac E. Lagaris:
GenAnneal: Genetically modified Simulated Annealing. Comput. Phys. Commun. 174(10): 846-851 (2006) - [j9]Ioannis G. Tsoulos, Isaac E. Lagaris:
Solving differential equations with genetic programming. Genet. Program. Evolvable Mach. 7(1): 33-54 (2006) - 2005
- [j8]Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas:
Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. Neural Parallel Sci. Comput. 13(2): 161-178 (2005) - [j7]Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris:
Mixture model analysis of DNA microarray images. IEEE Trans. Medical Imaging 24(7): 901-909 (2005) - [j6]Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris:
A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Networks 16(2): 494-498 (2005) - 2004
- [c4]Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris:
Mixture model based image segmentation with spatial constraints. EUSIPCO 2004: 2119-2122 - 2003
- [j5]Fotis Vartziotis
A Portable Decision Making Tool for Health Professionals Based on Neural Networks. Health Informatics J. 9(4): 273-282 (2003) - 2002
- [c3]Konstantinos Valasoulis, Dimitrios I. Fotiadis, Isaac E. Lagaris, Aristidis Likas:
Solving differential equations with neural networks: implementation on a DSP platform. DSP 2002: 1265-1268 - [c2]Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas:
Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation. SETN 2002: 314-324 - 2000
- [j4]Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou:
Neural-network methods for boundary value problems with irregular boundaries. IEEE Trans. Neural Networks Learn. Syst. 11(5): 1041-1049 (2000)
1990 – 1999
- 1999
- [j3]Aristidis Likas, Isaac E. Lagaris:
Training Reinforcement Neurocontrollers Using the Polytope Algorithm. Neural Process. Lett. 9(2): 119-127 (1999) - 1998
- [j2]Aristidis Likas, Dimitris A. Karras
Neural network training and simulation using a multidimensional optimization system. Int. J. Comput. Math. 67(1-2): 33-46 (1998) - [j1]Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis:
Artificial neural networks for solving ordinary and partial differential equations. IEEE Trans. Neural Networks 9(5): 987-1000 (1998) - [c1]Dimitris A. Karras
A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization Strategy. EUROMICRO 1998: 20683-20687 - [i2]Aristidis Likas, Isaac E. Lagaris:
Training Reinforcement Neurocontrollers Using the Polytope Algorithm. CoRR cs.NE/9812002 (1998) - [i1]Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou:
Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains. CoRR cs.NE/9812003 (1998)
Coauthor Index
aka: Costas Voglis
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