Isaac E. Lagaris

51 papers A 1C 1Journal 36Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Optimized neural forms for solving ordinary differential equations. CoRR Adam D. Kypriadis, Isaac E. Lagaris, Aristidis Likas, Konstantinos E. Parsopoulos
2023	J	`jnl`	SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Softw. Impacts Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris
2023	J	`jnl`	Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Appl. Soft Comput. Dimitra G. Triantali, Konstantinos E. Parsopoulos, Isaac E. Lagaris
2021	J	`jnl`	Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending. CoRR Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris
2020	J	`jnl`	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 Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani, Isaac E. Lagaris
2020	J	`jnl`	Variance Counterbalancing for Stochastic Large-scale Learning. Int. J. Artif. Intell. Tools Pola Lydia Lagari, Lefteri H. Tsoukalas, Isaac E. Lagaris
2016	J	`jnl`	Prerequisites of Autonomous Software Operations in Home UbiHealth Described Formally with Denotational Mathematics. Int. J. Softw. Sci. Comput. Intell. John C. Sarivougioukas, Aristides Th. Vagelatos, Isaac E. Lagaris
2015	J	`jnl`	Administration of Medical Contexts with Denotational Mathematics in Ubiquitous Computing Home Environments. Int. J. Softw. Sci. Comput. Intell. John C. Sarivougioukas, Aristides Th. Vagelatos, Isaac E. Lagaris
2015	C	`conf`	Fluid-structure interaction analysis of anastomosis in patient specific arterial segment. BIBE 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
2015	—	`conf`	Modeling of blood flow through sutured micro-vascular anastomoses. EMBC 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
2015	—	`conf`	Use of Denotational Mathematics for the formal description of autonomous migration and polymorphism as prerequisites for mobility in home UbiHealth. ICCI*CC John C. Sarivougioukas, Aristides Th. Vagelatos, Isaac E. Lagaris
2015	J	`jnl`	p-MEMPSODE: Parallel and irregular memetic global optimization. Comput. Phys. Commun. Constantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
2014	J	`jnl`	NDL-v2.0: A new version of the numerical differentiation library for parallel architectures. Comput. Phys. Commun. Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Costas Voglis, Dimitris G. Papageorgiou, Isaac E. Lagaris
2014	J	`jnl`	Supporting adaptive and irregular parallelism for non-linear numerical optimization. Appl. Math. Comput. Panagiotis E. Hadjidoukas, Costas Voglis, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou
2013	J	`jnl`	A Spectral Clustering Approach Based on Newton's Equations of Motion. Int. J. Intell. Syst. Konstantinos Blekas, Isaac E. Lagaris
2013	J	`jnl`	A parallel hybrid optimization algorithm for fitting interatomic potentials. Appl. Soft Comput. Constantinos Voglis, Panagiotis E. Hadjidoukas, Dimitris G. Papageorgiou, Isaac E. Lagaris
2013	A	`conf`	Adaptive memetic particle swarm optimization with variable local search pool size. GECCO Costas Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris
2013	—	`conf`	Concurrent Nomadic and Bundle Search: A Class of Parallel Algorithms for Local Optimization. PPAM (2) Costas Voglis, Dimitris G. Papageorgiou, Isaac E. Lagaris
2012	J	`jnl`	MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. Comput. Phys. Commun. Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
2012	—	`conf`	MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbed. GECCO (Companion) Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris
2012	—	`conf`	MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization framework. GECCO (Companion) Costas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris
2012	J	`jnl`	Particle swarm optimization with deliberate loss of information. Soft Comput. Costas Voglis, Konstantinos E. Parsopoulos, Isaac E. Lagaris
2011	—	`conf`	High-Performance Numerical Optimization on Multicore Clusters. Euro-Par (2) Panagiotis E. Hadjidoukas, Constantinos Voglis, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou
2011	—	`conf`	Task-parallel global optimization with application to protein folding. HPCS Constantinos Voglis, Panagiotis E. Hadjidoukas, Vassilios V. Dimakopoulos, Isaac E. Lagaris, Dimitris G. Papageorgiou
2009	J	`jnl`	A numerical differentiation library exploiting parallel architectures. Comput. Phys. Commun. Constantinos Voglis, Panagiotis E. Hadjidoukas, Isaac E. Lagaris, Dimitris G. Papageorgiou
2009	—	`conf`	Newtonian Spectral Clustering. ICANN (2) Konstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris
2009	J	`jnl`	Towards "Ideal Multistart". A stochastic approach for locating the minima of a continuous function inside a bounded domain. Appl. Math. Comput. Constantinos Voglis, Isaac E. Lagaris
2008	J	`jnl`	GenMin: An enhanced genetic algorithm for global optimization. Comput. Phys. Commun. Ioannis G. Tsoulos, Isaac E. Lagaris
2008	J	`jnl`	MinFinder v2.0: An improved version of MinFinder. Comput. Phys. Commun. Ioannis G. Tsoulos, Isaac E. Lagaris
2008	J	`jnl`	Stopping rules for box-constrained stochastic global optimization. Appl. Math. Comput. Isaac E. Lagaris, Ioannis G. Tsoulos
2007	J	`jnl`	Design of quantum filters with pre-determined reflection and transmission properties. Microelectron. J. S. A. Sofianos, Gaotsiwe Rampho, H. Azemtsa Donfack, Isaac E. Lagaris, H. Leeb
2007	J	`jnl`	Newtonian clustering: An approach based on molecular dynamics and global optimization. Pattern Recognit. Konstantinos Blekas, Isaac E. Lagaris
2007	—	`conf`	Split-Merge Incremental LEarning (SMILE) of Mixture Models. ICANN (2) Konstantinos Blekas, Isaac E. Lagaris
2006	J	`jnl`	GenAnneal: Genetically modified Simulated Annealing. Comput. Phys. Commun. Ioannis G. Tsoulos, Isaac E. Lagaris
2006	J	`jnl`	Genetically controlled random search: a global optimization method for continuous multidimensional functions. Comput. Phys. Commun. Ioannis G. Tsoulos, Isaac E. Lagaris
2006	J	`jnl`	MinFinder: Locating all the local minima of a function. Comput. Phys. Commun. Ioannis G. Tsoulos, Isaac E. Lagaris
2006	J	`jnl`	Solving differential equations with genetic programming. Genet. Program. Evolvable Mach. Ioannis G. Tsoulos, Isaac E. Lagaris
2005	J	`jnl`	A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Networks Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
2005	J	`jnl`	Mixture model analysis of DNA microarray images. IEEE Trans. Medical Imaging Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris
2005	J	`jnl`	Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. Neural Parallel Sci. Comput. Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas
2004	—	`conf`	Mixture model based image segmentation with spatial constraints. EUSIPCO Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
2003	J	`jnl`	A Portable Decision Making Tool for Health Professionals Based on Neural Networks. Health Informatics J. Fotis Vartziotis, Dimitrios I. Fotiadis, Aristidis Likas, Isaac E. Lagaris
2002	—	`conf`	Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation. SETN Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas
2002	—	`conf`	Solving differential equations with neural networks: implementation on a DSP platform. DSP Konstantinos Valasoulis, Dimitrios I. Fotiadis, Isaac E. Lagaris, Aristidis Likas
2000	J	`jnl`	Neural-network methods for boundary value problems with irregular boundaries. IEEE Trans. Neural Networks Learn. Syst. Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou
1999	J	`jnl`	Training Reinforcement Neurocontrollers Using the Polytope Algorithm. Neural Process. Lett. Aristidis Likas, Isaac E. Lagaris
1998	—	`conf`	A Novel Neural Network Training Technique Based on a Multi-Algorithm Constrained Optimization Strategy. EUROMICRO Dimitris A. Karras, Isaac E. Lagaris
1998	J	`jnl`	Artificial neural networks for solving ordinary and partial differential equations. IEEE Trans. Neural Networks Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis
1998	J	`jnl`	Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains CoRR Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou
1998	J	`jnl`	Neural network training and simulation using a multidimensional optimization system. Int. J. Comput. Math. Aristidis Likas, Dimitris A. Karras, Isaac E. Lagaris
1998	J	`jnl`	Training Reinforcement Neurocontrollers Using the Polytope Algorithm CoRR Aristidis Likas, Isaac E. Lagaris