Isaac E. Lagaris

发表

MERLIN-3.1.1. A new version of the Merlin optimization environment

Dimitris G. Papageorgiou, Ioannis N. Demetropoulos, Isaac E. Lagaris, 2004 .

Mixture model based image segmentation with spatial constraints

Nikolas P. Galatsanos, Isaac E. Lagaris, Konstantinos Blekas, 2004, 2004 12th European Signal Processing Conference.

Supporting adaptive and irregular parallelism for non-linear numerical optimization

Vassilios V. Dimakopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, 2014, Appl. Math. Comput..

A Rectangular Trust-Region Approach for Unconstrained and Box-Constrained Optimization Problems

Isaac E. Lagaris, C. Voglis, 2019 .

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

Isaac E. Lagaris, Aristidis Likas, Ioannis G. Tsoulos, 2002, SETN.

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

Dimitris G. Papageorgiou, Isaac E. Lagaris, Constantinos Voglis, 2013, PPAM.

Task-parallel global optimization with application to protein folding

Vassilios V. Dimakopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, 2011, 2011 International Conference on High Performance Computing & Simulation.

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

Dimitrios I. Fotiadis, Isaac E. Lagaris, Aristidis Likas, 2003, Health Informatics J..

High-Performance Numerical Optimization on Multicore Clusters

Vassilios V. Dimakopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, 2011, Euro-Par.

MCL — Optimization oriented programming language

Dimitris G. Papageorgiou, Isaac E. Lagaris, C. S. Chassapis, 1989 .

GenMin: An enhanced genetic algorithm for global optimization

Isaac E. Lagaris, Ioannis G. Tsoulos, I. Lagaris, 2008, Comput. Phys. Commun..

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

Isaac E. Lagaris, Aristidis Likas, K. Valasoulis, 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

GenAnneal: Genetically modified Simulated Annealing

Isaac E. Lagaris, Ioannis G. Tsoulos, 2006, Comput. Phys. Commun..

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

Panagiotis Angelikopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, 2014, Comput. Phys. Commun..

A parallel hybrid optimization algorithm for fitting interatomic potentials

Dimitris G. Papageorgiou, Isaac E. Lagaris, Panagiotis E. Hadjidoukas, 2013, Appl. Soft Comput..

A HYBRID METHOD FOR NEURAL–NETWORK TRAINING

Isaac E. Lagaris, C. Voglis, 2004 .

Mixture model analysis of DNA microarray images

Nikolas P. Galatsanos, Isaac E. Lagaris, Konstantinos Blekas, 2005, IEEE Transactions on Medical Imaging.

Adaptive memetic particle swarm optimization with variable local search pool size

Dimitris G. Papageorgiou, Isaac E. Lagaris, Panagiotis E. Hadjidoukas, 2013, GECCO '13.

MCL - OVI1MIZATION ORIENTED PROGRAMMING LANGUAGE

Dimitris G. Papageorgiou, Isaac E. Lagaris, C. S. Chassapis, 1989 .

Artificial neural networks for solving ordinary and partial differential equations

Dimitrios I. Fotiadis, Isaac E. Lagaris, Aristidis Likas, 1997, IEEE Trans. Neural Networks.

Merlin-3.0. A multidimensional optimization environment

Dimitris G. Papageorgiou, Ioannis N. Demetropoulos, Isaac E. Lagaris, 1998 .

Newtonian Spectral Clustering

Isaac E. Lagaris, Konstantinos Blekas, K. Christodoulidou, 2009, ICANN.

A numerical differentiation library exploiting parallel architectures ✩

Dimitris G. Papageorgiou, Isaac E. Lagaris, Panagiotis E. Hadjidoukas, 2009 .

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

Isaac E. Lagaris, Constantinos Voglis, I. Lagaris, 2009, Appl. Math. Comput..

p-MEMPSODE: Parallel and irregular memetic global optimization

Michael N. Vrahatis, Dimitris G. Papageorgiou, Isaac E. Lagaris, 2015, Comput. Phys. Commun..

Neural network training and simulation using a multidimensional optimization system

Dimitris A. Karras, Isaac E. Lagaris, Aristidis Likas, 1998, Int. J. Comput. Math..

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

Dimitris G. Papageorgiou, Isaac E. Lagaris, Konstantinos E. Parsopoulos, 2012, GECCO '12.

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

Dimitris G. Papageorgiou, Isaac E. Lagaris, Aristidis Likas, 1998, ArXiv.

Program Summary

Isaac E. Lagaris, Ioannis G. Tsoulos, 1986, PMLA/Publications of the Modern Language Association of America.

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

Isaac E. Lagaris, Aristidis Likas, Ioannis G. Tsoulos, 2005, Neural Parallel Sci. Comput..

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

Dimitrios I. Fotiadis, Isaac E. Lagaris, Antonis I. Sakellarios, 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

Additional Referees

Ioannis Stamelos, Yannis Avrithis, Georgios Dounias, 2005, ITCC.

Split-Merge Incremental LEarning (SMILE) of Mixture Models

Isaac E. Lagaris, Konstantinos Blekas, K. Blekas, 2007, ICANN.

MERLIN-2.0 — Enhanced and programmable version

Dimitris G. Papageorgiou, Isaac E. Lagaris, C. S. Chassapis, 1989 .

Stopping rules for box-constrained stochastic global optimization

Isaac E. Lagaris, Ioannis G. Tsoulos, I. Lagaris, 2008, Appl. Math. Comput..

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

Isaac E. Lagaris, Konstantinos Blekas, K. Blekas, 2007, Pattern Recognit..

The Merlin control language for strategic optimization

Dimitris G. Papageorgiou, Ioannis N. Demetropoulos, Isaac E. Lagaris, 1998 .

Particle swarm optimization with deliberate loss of information

Isaac E. Lagaris, Konstantinos E. Parsopoulos, Constantinos Voglis, 2012, Soft Comput..

Functionally weighted neural networks: frugal models with high accuracy

Isaac E. Lagaris, Konstantinos Blekas, K. Blekas, 2020, SN Applied Sciences.

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

Michael N. Vrahatis, Dimitris G. Papageorgiou, Isaac E. Lagaris, 2012, Comput. Phys. Commun..

PLACEBO: a computational platform for health professionals and bioengineers

Dimitrios I. Fotiadis, Isaac E. Lagaris, Aristidis Likas, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Training Reinforcement Neurocontrollers Using the Polytope Algorithm

Isaac E. Lagaris, Aristidis Likas, A. Likas, 1998, Neural Processing Letters.

PANMIN: sequential and parallel global optimization procedures with a variety of options for the local search strategy ✩

Dimitris G. Papageorgiou, Isaac E. Lagaris, F. V Theos, 2004 .

Artificial neural networks with an infinite number of nodes

Isaac E. Lagaris, Konstantinos Blekas, K. Blekas, 2017 .

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

Isaac E. Lagaris, Konstantinos Blekas, K. Blekas, 2013, Int. J. Intell. Syst..

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

Isaac E. Lagaris, Ioannis G. Tsoulos, I. Lagaris, 2006, Comput. Phys. Commun..

Modeling of blood flow through sutured micro-vascular anastomoses

Dimitrios I. Fotiadis, Isaac E. Lagaris, Georgia S. Karanasiou, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Isaac E. Lagaris, S. A. Sofianos, G. J. Rampho, 2007, Microelectron. J..

A spatially constrained mixture model for image segmentation

Nikolas P. Galatsanos, Isaac E. Lagaris, Konstantinos Blekas, 2005, IEEE Transactions on Neural Networks.

Solving differential equations with genetic programming

Isaac E. Lagaris, Ioannis G. Tsoulos, I. Lagaris, 2006, Genetic Programming and Evolvable Machines.

Neural-network methods for boundary value problems with irregular boundaries

Dimitris G. Papageorgiou, Isaac E. Lagaris, Aristidis Likas, 2000, IEEE Trans. Neural Networks Learn. Syst..

A novel neural network training technique based on a multi-algorithm constrained optimization strategy

Dimitris A. Karras, Isaac E. Lagaris, 1998, Proceedings. 24th EUROMICRO Conference (Cat. No.98EX204).

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

Dimitris G. Papageorgiou, Isaac E. Lagaris, Konstantinos E. Parsopoulos, 2012, GECCO '12.

MinFinder v2.0: An improved version of MinFinder

Isaac E. Lagaris, Ioannis G. Tsoulos, 2008, Comput. Phys. Commun..

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

Lefteri H. Tsoukalas, Isaac E. Lagaris, Salar Safarkhani, 2021, ArXiv.

How many conformers of the 1, 2, 3-propanetriol triacetate are present in gas phase and in aqueous solution?

Dimitris G. Papageorgiou, Ioannis N. Demetropoulos, Isaac E. Lagaris, 1996 .

An Efficient Chebyshev-Lanczos Method for Obtaining Eigensolutions of the Schrödinger Equation on a Grid

Dimitris G. Papageorgiou, Isaac E. Lagaris, M. Braun, 1996 .

MERLIN a versatile optimization environment applied to the design of metallic alloys and intermetallic compounds

Dimitris G. Papageorgiou, Isaac E. Lagaris, Hariton M. Polatoglou, 2003 .

MERLIN-2.1 double precision

Dimitris G. Papageorgiou, Isaac E. Lagaris, I. Lagaris, 1990 .

PHENOMENOLOGICAL TWO NUCLEON INTERACTION OPERATOR

Isaac E. Lagaris, I. Lagaris, V. Pandharipande, 1981 .

Merlin - a portable system for multidimensional minimization

Ioannis N. Demetropoulos, Isaac E. Lagaris, I. Lagaris, 1987 .