Isaac E. Lagaris

According to our database1, Isaac E. Lagaris authored at least 42 papers between 1998 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
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, 2020

Variance Counterbalancing for Stochastic Large-scale Learning.
Int. J. Artif. Intell. Tools, 2020

2015
p-MEMPSODE: Parallel and irregular memetic global optimization.
Comput. Phys. Commun., 2015

Modeling of blood flow through sutured micro-vascular anastomoses.
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.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

2014
NDL-v2.0: A new version of the numerical differentiation library for parallel architectures.
Comput. Phys. Commun., 2014

Supporting adaptive and irregular parallelism for non-linear numerical optimization.
Appl. Math. Comput., 2014

2013
A Spectral Clustering Approach Based on Newton's Equations of Motion.
Int. J. Intell. Syst., 2013

A parallel hybrid optimization algorithm for fitting interatomic potentials.
Appl. Soft Comput., 2013

Concurrent Nomadic and Bundle Search: A Class of Parallel Algorithms for Local Optimization.
Proceedings of the Parallel Processing and Applied Mathematics, 2013

Adaptive memetic particle swarm optimization with variable local search pool size.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Particle swarm optimization with deliberate loss of information.
Soft Comput., 2012

MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches.
Comput. Phys. Commun., 2012

MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Task-parallel global optimization with application to protein folding.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

High-Performance Numerical Optimization on Multicore Clusters.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2009
A numerical differentiation library exploiting parallel architectures.
Comput. Phys. Commun., 2009

Towards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domain.
Appl. Math. Comput., 2009

Newtonian Spectral Clustering.
Proceedings of the Artificial Neural Networks, 2009

2008
MinFinder v2.0: An improved version of MinFinder.
Comput. Phys. Commun., 2008

GenMin: An enhanced genetic algorithm for global optimization.
Comput. Phys. Commun., 2008

Stopping rules for box-constrained stochastic global optimization.
Appl. Math. Comput., 2008

2007
Newtonian clustering: An approach based on molecular dynamics and global optimization.
Pattern Recognit., 2007

Design of quantum filters with pre-determined reflection and transmission properties.
Microelectron. J., 2007

Split-Merge Incremental LEarning (SMILE) of Mixture Models.
Proceedings of the Artificial Neural Networks, 2007

2006
Solving differential equations with genetic programming.
Genet. Program. Evolvable Mach., 2006

GenAnneal: Genetically modified Simulated Annealing.
Comput. Phys. Commun., 2006

MinFinder: Locating all the local minima of a function.
Comput. Phys. Commun., 2006

Genetically controlled random search: a global optimization method for continuous multidimensional functions.
Comput. Phys. Commun., 2006

2005
A spatially constrained mixture model for image segmentation.
IEEE Trans. Neural Networks, 2005

Mixture model analysis of DNA microarray images.
IEEE Trans. Medical Imaging, 2005

Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks.
Neural Parallel Sci. Comput., 2005

2004
Mixture model based image segmentation with spatial constraints.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
A Portable Decision Making Tool for Health Professionals Based on Neural Networks.
Health Informatics J., 2003

2002
Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002

2000
Neural-network methods for boundary value problems with irregular boundaries.
IEEE Trans. Neural Networks Learn. Syst., 2000

1999
Training Reinforcement Neurocontrollers Using the Polytope Algorithm.
Neural Process. Lett., 1999

1998
Artificial neural networks for solving ordinary and partial differential equations.
IEEE Trans. Neural Networks, 1998

Neural network training and simulation using a multidimensional optimization system.
Int. J. Comput. Math., 1998

Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains
CoRR, 1998

A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization Strategy.
Proceedings of the 24th EUROMICRO '98 Conference, 1998


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