A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization Strategy. - Dimitris A. Karras; Isaac E. Lagaris (EUROMICRO, 1998)

Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains - Isaac E. Lagaris; Aristidis Likas; Dimitris G. Papageorgiou (CoRR, 1998)

Neural network training and simulation using a multidimensional optimization system. - Aristidis Likas; Dimitris A. Karras; Isaac E. Lagaris (Int. J. Comput. Math., 1998)

Artificial neural networks for solving ordinary and partial differential equations. - Isaac E. Lagaris; Aristidis Likas; Dimitrios I. Fotiadis (IEEE Trans. Neural Networks, 1998)

Training Reinforcement Neurocontrollers Using the Polytope Algorithm. - Aristidis Likas; Isaac E. Lagaris (Neural Process. Lett., 1999)

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)

Solving differential equations with neural networks: implementation on a DSP platform. - Konstantinos Valasoulis; Dimitrios I. Fotiadis; Isaac E. Lagaris; Aristidis Likas (DSP, 2002)

Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation. - Ioannis G. Tsoulos; Isaac E. Lagaris; Aristidis Likas (SETN, 2002)

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)

Mixture model based image segmentation with spatial constraints. - Konstantinos Blekas; Aristidis Likas; Nikolas P. Galatsanos; Isaac E. Lagaris (EUSIPCO, 2004)

Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. - Ioannis G. Tsoulos; Isaac E. Lagaris; Aristidis Likas (Neural Parallel Sci. Comput., 2005)

Mixture model analysis of DNA microarray images. - Konstantinos Blekas; Nikolas P. Galatsanos; Aristidis Likas; Isaac E. Lagaris (IEEE Trans. Medical Imaging, 2005)

A spatially constrained mixture model for image segmentation. - Konstantinos Blekas; Aristidis Likas; Nikolas P. Galatsanos; Isaac E. Lagaris (IEEE Trans. Neural Networks, 2005)

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

GenAnneal: Genetically modified Simulated Annealing. - Ioannis G. Tsoulos; Isaac E. Lagaris (Comput. Phys. Commun., 2006)

Solving differential equations with genetic programming. - Ioannis G. Tsoulos; Isaac E. Lagaris (Genet. Program. Evolvable Mach., 2006)

Split-Merge Incremental LEarning (SMILE) of Mixture Models. - Konstantinos Blekas; Isaac E. Lagaris (ICANN (2), 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)

Newtonian clustering: An approach based on molecular dynamics and global optimization. - Konstantinos Blekas; Isaac E. Lagaris (Pattern Recognit., 2007)

Stopping rules for box-constrained stochastic global optimization. - Isaac E. Lagaris; Ioannis G. Tsoulos (Appl. Math. Comput., 2008)

GenMin: An enhanced genetic algorithm for global optimization. - Ioannis G. Tsoulos; Isaac E. Lagaris (Comput. Phys. Commun., 2008)

MinFinder v2.0: An improved version of MinFinder. - Ioannis G. Tsoulos; Isaac E. Lagaris (Comput. Phys. Commun., 2008)

Newtonian Spectral Clustering. - Konstantinos Blekas; K. Christodoulidou; Isaac E. Lagaris (ICANN (2), 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)

A numerical differentiation library exploiting parallel architectures. - Constantinos Voglis; Panagiotis E. Hadjidoukas; Isaac E. Lagaris; Dimitris G. Papageorgiou (Comput. Phys. Commun., 2009)

High-Performance Numerical Optimization on Multicore Clusters. - Panagiotis E. Hadjidoukas; Constantinos Voglis; Vassilios V. Dimakopoulos; Isaac E. Lagaris; Dimitris G. Papageorgiou (Euro-Par (2), 2011)

Task-parallel global optimization with application to protein folding. - Constantinos Voglis; Panagiotis E. Hadjidoukas; Vassilios V. Dimakopoulos; Isaac E. Lagaris; Dimitris G. Papageorgiou (HPCS, 2011)

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 (GECCO (Companion), 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 (GECCO (Companion), 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)

Particle swarm optimization with deliberate loss of information. - Costas Voglis; Konstantinos E. Parsopoulos; Isaac E. Lagaris (Soft Comput., 2012)

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 (GECCO, 2013)

Concurrent Nomadic and Bundle Search: A Class of Parallel Algorithms for Local Optimization. - Costas Voglis; Dimitris G. Papageorgiou; Isaac E. Lagaris (PPAM (2), 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)

A Spectral Clustering Approach Based on Newton's Equations of Motion. - Konstantinos Blekas; Isaac E. Lagaris (Int. J. Intell. Syst., 2013)

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)

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)

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 (ICCI*CC, 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 001; Isaac E. Lagaris; Ioannis P. Kostas-Agnantis; Ioannis Gkiatas; Alexandros E. Beris; Antonis I. Sakellarios; Dimitrios I. Fotiadis (BIBE, 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 001; Isaac E. Lagaris; Ioannis P. Kostas-Agnantis; Ioannis Gkiatas; Alexandros E. Beris; Dimitrios I. Fotiadis (EMBC, 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)

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)

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)

Variance Counterbalancing for Stochastic Large-scale Learning. - Pola Lydia Lagari; Lefteri H. Tsoukalas; Isaac E. Lagaris (Int. J. Artif. Intell. Tools, 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)

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)

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)

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, 2023)

Optimized neural forms for solving ordinary differential equations. - Adam D. Kypriadis; Isaac E. Lagaris; Aristidis Likas; Konstantinos E. Parsopoulos (CoRR, 2024)