Isaac E. Lagaris

According to our database, Isaac E. Lagaris authored at least 49 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning.

Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris

Softw. Impacts, September, 2023

Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning.

Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris

Appl. Soft Comput., 2023

2021

Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending.

Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris

CoRR, 2021

2020

Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions.

Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris

Int. J. Artif. Intell. Tools, 2020

Variance Counterbalancing for Stochastic Large-scale Learning.

Pola Lydia Lagari, Lefteri H. Tsoukalas, Isaac E. Lagaris

Int. J. Artif. Intell. Tools, 2020

2016

Prerequisites of Autonomous Software Operations in Home UbiHealth Described Formally with Denotational Mathematics.

John C. Sarivougioukas, Aristides Th. Vagelatos, Isaac E. Lagaris

Int. J. Softw. Sci. Comput. Intell., 2016

2015

Administration of Medical Contexts with Denotational Mathematics in Ubiquitous Computing Home Environments.

John C. Sarivougioukas, Aristides Th. Vagelatos, Isaac E. Lagaris

Int. J. Softw. Sci. Comput. Intell., 2015

p-MEMPSODE: Parallel and irregular memetic global optimization.

Constantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis

Comput. Phys. Commun., 2015

Modeling of blood flow through sutured micro-vascular anastomoses.

Georgia 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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Fluid-structure interaction analysis of anastomosis in patient specific arterial segment.

Georgia 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

Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

Use of Denotational Mathematics for the formal description of autonomous migration and polymorphism as prerequisites for mobility in home UbiHealth.

John C. Sarivougioukas, Aristides Th. Vagelatos, Isaac E. Lagaris

Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2014

NDL-v2.0: A new version of the numerical differentiation library for parallel architectures.

Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Costas Voglis, Dimitris G. Papageorgiou, Isaac E. Lagaris

Comput. Phys. Commun., 2014

Supporting adaptive and irregular parallelism for non-linear numerical optimization.

Panagiotis E. Hadjidoukas, Costas Voglis, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou

Appl. Math. Comput., 2014

2013

A Spectral Clustering Approach Based on Newton's Equations of Motion.

Konstantinos Blekas, Isaac E. Lagaris

Int. J. Intell. Syst., 2013

A parallel hybrid optimization algorithm for fitting interatomic potentials.

Constantinos Voglis, Panagiotis E. Hadjidoukas, Dimitris G. Papageorgiou, Isaac E. Lagaris

Appl. Soft Comput., 2013

Concurrent Nomadic and Bundle Search: A Class of Parallel Algorithms for Local Optimization.

Costas Voglis, Dimitris G. Papageorgiou, Isaac E. Lagaris

Proceedings of the Parallel Processing and Applied Mathematics, 2013

Adaptive memetic particle swarm optimization with variable local search pool size.

Costas Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Particle swarm optimization with deliberate loss of information.

Costas Voglis, Konstantinos E. Parsopoulos, Isaac E. Lagaris

Soft Comput., 2012

MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches.

Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis

Comput. Phys. Commun., 2012

MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework.

Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed.

Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Task-parallel global optimization with application to protein folding.

Constantinos Voglis, Panagiotis E. Hadjidoukas, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou

Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

High-Performance Numerical Optimization on Multicore Clusters.

Panagiotis E. Hadjidoukas, Constantinos Voglis, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou

Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2009

A numerical differentiation library exploiting parallel architectures.

Constantinos Voglis, Panagiotis E. Hadjidoukas, Isaac E. Lagaris, Dimitris G. Papageorgiou

Comput. Phys. Commun., 2009

Towards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domain.

Constantinos Voglis, Isaac E. Lagaris

Appl. Math. Comput., 2009

Newtonian Spectral Clustering.

Konstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris

Proceedings of the Artificial Neural Networks, 2009

2008

MinFinder v2.0: An improved version of MinFinder.

Ioannis G. Tsoulos, Isaac E. Lagaris

Comput. Phys. Commun., 2008

GenMin: An enhanced genetic algorithm for global optimization.

Ioannis G. Tsoulos, Isaac E. Lagaris

Comput. Phys. Commun., 2008

Stopping rules for box-constrained stochastic global optimization.

Isaac E. Lagaris, Ioannis G. Tsoulos

Appl. Math. Comput., 2008

2007

Newtonian clustering: An approach based on molecular dynamics and global optimization.

Konstantinos Blekas, Isaac E. Lagaris

Pattern Recognit., 2007

Design of quantum filters with pre-determined reflection and transmission properties.

S. A. Sofianos, Gaotsiwe Rampho, H. Azemtsa Donfack, Isaac E. Lagaris, H. Leeb

Microelectron. J., 2007

Split-Merge Incremental LEarning (SMILE) of Mixture Models.

Konstantinos Blekas, Isaac E. Lagaris

Proceedings of the Artificial Neural Networks, 2007

2006

Solving differential equations with genetic programming.

Ioannis G. Tsoulos, Isaac E. Lagaris

Genet. Program. Evolvable Mach., 2006

GenAnneal: Genetically modified Simulated Annealing.

Ioannis G. Tsoulos, Isaac E. Lagaris

Comput. Phys. Commun., 2006

MinFinder: Locating all the local minima of a function.

Ioannis G. Tsoulos, Isaac E. Lagaris

Comput. Phys. Commun., 2006

Genetically controlled random search: a global optimization method for continuous multidimensional functions.

Ioannis G. Tsoulos, Isaac E. Lagaris

Comput. Phys. Commun., 2006

2005

A spatially constrained mixture model for image segmentation.

Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris

IEEE Trans. Neural Networks, 2005

Mixture model analysis of DNA microarray images.

Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris

IEEE Trans. Medical Imaging, 2005

Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks.

Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas

Neural Parallel Sci. Comput., 2005

2004

Mixture model based image segmentation with spatial constraints.

Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

A Portable Decision Making Tool for Health Professionals Based on Neural Networks.

Fotis Vartziotis, Dimitrios I. Fotiadis, Aristidis Likas, Isaac E. Lagaris

Health Informatics J., 2003

2002

Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation.

Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas

Proceedings of the Methods and Applications of Artificial Intelligence, 2002

Solving differential equations with neural networks: implementation on a DSP platform.

Konstantinos Valasoulis, Dimitrios I. Fotiadis, Isaac E. Lagaris, Aristidis Likas

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

2000

Neural-network methods for boundary value problems with irregular boundaries.

Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou

IEEE Trans. Neural Networks Learn. Syst., 2000

1999

Training Reinforcement Neurocontrollers Using the Polytope Algorithm.

Aristidis Likas, Isaac E. Lagaris

Neural Process. Lett., 1999

1998

Artificial neural networks for solving ordinary and partial differential equations.

Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis

IEEE Trans. Neural Networks, 1998

Neural network training and simulation using a multidimensional optimization system.

Aristidis Likas, Dimitris A. Karras, Isaac E. Lagaris

Int. J. Comput. Math., 1998

Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains

Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou

CoRR, 1998

A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization Strategy.

Dimitris A. Karras, Isaac E. Lagaris

Proceedings of the 24th EUROMICRO '98 Conference, 1998