I. Tsoulos

发表

On locating all roots of systems of nonlinear equations inside bounded domain using global optimization methods

A. Stavrakoudis, I. Tsoulos, 2010 .

Configurational Entropy Reallocation and Complex Loop Dynamics of the Mosquito-Stage Pvs25 Protein Complexed with the Fab Fragment of the Malaria Transmission Blocking Antibody 2A8.

A. Stavrakoudis, I. Tsoulos, 2011, Journal of chemical theory and computation.

Piecewise continuous approximation of two – dimensional functions using neural networks

A. Likas, I. Lagaris, I. Tsoulos, 2022 .

Nuclear muon capture rates by using relativistic muon wavefunctions

I. Tsoulos, V. Stavrou, I. Kardaras, 2019 .

Homology modeling and molecular dynamics simulations of MUC1-9/H-2Kb complex suggest novel binding interactions

V. Apostolopoulos, A. Stavrakoudis, F. Hudecz, 2011, Journal of molecular modeling.

Gradient–Controlled, Typical–Distance Clustering for Global Optimization

I. Lagaris, I. Tsoulos, 2022 .

RbfDeSolver: A Software Tool to Approximate Differential Equations Using Radial Basis Functions

A. Tzallas, I. Tsoulos, E. Karvounis, 2022, Axioms.

DiracSolver: A tool for solving the Dirac equation

Ioannis G. Tsoulos, Vasilis Stavrou, Odysseas T. Kosmas, 2018, Comput. Phys. Commun..

Exploiting Dirac equations solution for exact integral calculations in processes of muonic atoms

I. Tsoulos, T. S. Kosmas, O. Kosmas, 2021 .

Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution

Ioannis G. Tsoulos, Alexandros T. Tzallas, Markos G. Tsipouras, 2018, Inventions.

Creating classification rules using grammatical evolution

Ioannis G. Tsoulos, I. Tsoulos, 2020, Int. J. Comput. Intell. Stud..

Learning Functions and Classes Using Rules

I. Tsoulos, 2022, AI.

QFC: A Parallel Software Tool for Feature Construction, Based on Grammatical Evolution

I. Tsoulos, 2022, Algorithms.

Language Inference Using Elman Networks with Evolutionary Training

E. Dermatas, I. Tsoulos, E. Karvounis, 2022, Signals.

Changes in the cytokine profile in first-episode, drug-naïve patients with psychosis after short-term antipsychotic treatment

A. Tzallas, P. Voulgari, I. Tsoulos, 2017, Psychiatry Research.

Prediction of COVID-19 Cases Using Constructed Features by Grammatical Evolution

A. Tzallas, D. Tsalikakis, I. Tsoulos, 2022, Symmetry.

Evolutionary Grammar Induction for Protein Relation Extraction

E. Dermatas, D. Gavrilis, I. Tsoulos, 2005 .

GenClass: A parallel tool for data classification based on Grammatical Evolution

A. Tzallas, I. Tsoulos, Nikolaos P. Anastasopoulos, 2021, SoftwareX.

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images

Euripidis Glavas, Ioannis G. Tsoulos, Alexandros T. Tzallas, 2021, Array.

A Novel Sampling Technique for Multistart-Based Methods

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis, 2020, SN Comput. Sci..

Locate the Bounding Box of Neural Networks with Intervals

Ioannis G. Tsoulos, Alexandros T. Tzallas, Nikolaos Anastasopoulos, 2020, Neural Processing Letters.

Genetic Feature Construction Genetic Feature Construction: a parallel implementation of a genetic programming tool for feature construction

Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis, 2019, European Journal of Engineering Research and Science.

A-Class: a novel classification method

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evripidis Glavas, 2014, Panhellenic Conference on Informatics.

Neural network construction and training using grammatical evolution

Euripidis Glavas, Ioannis G. Tsoulos, Dimitris Gavrilis, 2008, Neurocomputing.

Modifications of real code genetic algorithm for global optimization

Ioannis G. Tsoulos, I. Tsoulos, 2008, Appl. Math. Comput..

Molecular dynamics simulation of antimicrobial peptide arenicin‐2: β‐Hairpin stabilization by noncovalent interactions

A. Stavrakoudis, I. Tsoulos, T. Ovchinnikova, 2009, Biopolymers.

Modelling Hydrocortisone Pharmacokinetics on a Subcutaneous Pulsatile Infusion Replacement Strategy in Patients with Adrenocortical Insufficiency

A. Tzallas, M. Tsipouras, S. Lightman, 2021, Pharmaceutics.

Spin-flip relaxation mechanism in self-assembled quantum dots via phonon emission

I. Tsoulos, V. Stavrou, O. Kosmas, 2020 .

A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques

Pinelopi Manousou, Nikolaos Giannakeas, Markos G Tsipouras, 2017, Comput. Methods Programs Biomed..

Solving constrained optimization problems using a novel genetic algorithm

Ioannis G. Tsoulos, I. Tsoulos, I. Tsoulos, 2009, Appl. Math. Comput..

Grammatical evolution for features of epileptic oscillations in clinical intracranial electroencephalograms

George K. Georgoulas, Otis Smart, Ioannis G. Tsoulos, 2011, Expert Syst. Appl..

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

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

A Parallel Implementation of the Differential Evolution Method

I. Tsoulos, Vasileios Charilogis, 2023, Analytics.

Stopping rules for box-constrained stochastic global optimization

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

Modifications for the Differential Evolution Algorithm

A. Tzallas, I. Tsoulos, E. Karvounis, 2022, Symmetry.

Enhancing PSO methods for global optimization

Ioannis G. Tsoulos, Athanassios Stavrakoudis, A. Stavrakoudis, 2010, Appl. Math. Comput..

GenMin: An enhanced genetic algorithm for global optimization

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

Train RBF networks with a hybrid genetic algorithm

Ioannis G. Tsoulos, Alexandros Tzallas, Georgios Ntritsos, 2021, Evolutionary Intelligence.

Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm

Fardin Ahmadizar, Fardin AkhlaghianTab, Khabat Soltanian, 2015, Eng. Appl. Artif. Intell..

An Improved Controlled Random Search Method

Ioannis Tsoulos, Nikolaos Anastasopoulos, Vasileios Charilogis, 2021, Symmetry.

Bound the Parameters of Neural Networks Using Particle Swarm Optimization

D. Tsalikakis, I. Tsoulos, E. Karvounis, 2023, De Computis.

PDoublePop: An implementation of parallel genetic algorithm for function optimization

Ioannis G. Tsoulos, Alexandros T. Tzallas, Dimitrios G. Tsalikakis, 2016, Comput. Phys. Commun..

Solving differential equations with constructed neural networks

Euripidis Glavas, Ioannis G. Tsoulos, Dimitris Gavrilis, 2009, Neurocomputing.

Novel approach for fetal heart rate classification introducing grammatical evolution

Chrysostomos D. Stylios, George K. Georgoulas, Peter P. Groumpos, 2007, Biomed. Signal Process. Control..

Location of amide I mode of vibration in computed data utilizing constructed neural networks

Euripidis Glavas, Ioannis G. Tsoulos, G. V. Papamokos, 2009, Expert Syst. Appl..

GenConstraint: A programming tool for constraint optimization problems

Ioannis G. Tsoulos, Dimitrios G. Tsalikakis, Vasileios Stavrou, 2019, SoftwareX.

Transformations for FIR and IIR Filters' Design

Nikos E. Mastorakis, V. N. Stavrou, I. G. Tsoulos, 2021, Symmetry.

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

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

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

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

Locating the Parameters of RBF Networks Using a Hybrid Particle Swarm Optimization Method

I. Tsoulos, Vasileios Charilogis, 2023, Algorithms.

Use RBF as a Sampling Method in Multistart Global Optimization Method

Ioannis G. Tsoulos, A. Tzallas, D. Tsalikakis, 2022, Signals.

Toward an Ideal Particle Swarm Optimizer for Multidimensional Functions

I. Tsoulos, Vasileios Charilogis, 2022, Inf..

Feature Selection for Robust Detection of Distributed Denial-of-Service Attacks Using Genetic Algorithms

Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos Dermatas, 2004, SETN.

Introducing Grammatical Evolution in Fetal Heart Rate Analysis and Classification

D. Gavrilis, I. Tsoulos, G. Georgoulas, 2006, 2006 3rd International IEEE Conference Intelligent Systems.

Classification of fetal heart rate using grammatical evolution

D. Gavrilis, I.G. Tsoulos, D. Gavrilis, 2005, IEEE Workshop on Signal Processing Systems Design and Implementation, 2005..

Application of Machine Learning in a Parkinson's Disease Digital Biomarker Dataset Using Neural Network Construction (NNC) Methodology Discriminates Patient Motor Status

Ioannis G. Tsoulos, Athanassios Stavrakoudis, Georgia Mitsi, 2019, Front. ICT.

Selecting and constructing features using grammatical evolution

Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos Dermatas, 2008, Pattern Recognit. Lett..

Coupled quantum dots: spin based qubits

I. Tsoulos, V. Stavrou, 2021, Molecular Crystals and Liquid Crystals.

Improving the PSO method for global optimization problems

Ioannis G. Tsoulos, Alexandros T. Tzallas, Evaggelos C. Karvounis, 2020, Evol. Syst..

A Feature Construction Method That Combines Particle Swarm Optimization and Grammatical Evolution

I. Tsoulos, Alexandros T. Tzallas, 2023, Applied Sciences.

Constructing Features Using a Hybrid Genetic Algorithm

I. Tsoulos, 2022, Signals.

Solving differential equations with genetic programming

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

Training Artificial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks

I. Tsoulos, Alexandros T. Tzallas, 2023, AI.

Training Artiﬁcial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks

I. Tsoulos, Alexandros T. Tzallas, Kenji Suzuki, 2022 .

COVID-19 Predictive Models Based on Grammatical Evolution

C. Stylios, I. Tsoulos, Vlasis Charalampous, 2023, SN Computer Science.

Exact wave functions of bound μ− for calculating ordinary muon capture rates

I. Tsoulos, V. Stavrou, I. Kardaras, 2013 .