Haralambos Sarimveis

Orcid: 0000-0002-8607-9965

Affiliations:
  • National Technical University of Athens, School of Chemical Engineering, Greece


According to our database1, Haralambos Sarimveis authored at least 47 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Radial basis function neural network training using variable projection and fuzzy means.
Neural Comput. Appl., November, 2024

2023
Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2.
Netw. Model. Anal. Health Informatics Bioinform., December, 2023

2021
Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions.
Sensors, 2021

Automated Grouping of Nanomaterials and Read-Across Prediction of Their Adverse Effects Based on Mathematical Optimization.
J. Chem. Inf. Model., 2021

Vessel Trajectory Prediction Using Radial Basis Function Neural Networks.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

2020
A genetic algorithm approach for parameter estimation in vapour-liquid thermodynamic modelling problems.
Comput. Chem. Eng., 2020

An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles.
Appl. Soft Comput., 2020

2018
An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models.
Sensors, 2018

toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data.
J. Chem. Inf. Model., 2018

2017
Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics.
J. Chem. Inf. Model., September, 2017

A Fast and Efficient Method for Training Categorical Radial Basis Function Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

Stabilising model predictive control for discrete-time fractional-order systems.
Autom., 2017

2016
Cooperative learning for radial basis function networks using particle swarm optimization.
Appl. Soft Comput., 2016

Answering Scientific Questions with linked European Nanosafety Data.
Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences, 2016

2015
Model Predictive Control for Linear Impulsive Systems.
IEEE Trans. Autom. Control., 2015

RRegrs: an R package for computer-aided model selection with multiple regression models.
J. Cheminformatics, 2015

Robust model predictive control for discrete-time fractional-order systems?
Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015

2014
MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time.
IEEE Trans. Autom. Control., 2014

Robust model predictive control for optimal continuous drug administration.
Comput. Methods Programs Biomed., 2014

Stochastic model predictive control for constrained discrete-time Markovian switching systems.
Autom., 2014

The first eNanoMapper prototype: A substance database to support safe-by-design.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2013

2012
An integer programming approach for optimal drug dose computation.
Comput. Methods Programs Biomed., 2012

2011
A global piecewise smooth Newton method for fast large-scale model predictive control.
Autom., 2011

Convex parametric piecewise quadratic optimization: Theory and algorithms.
Autom., 2011

A Radial Basis Function network training algorithm using a non-symmetric partition of the input space - Application to a Model Predictive Control configuration.
Adv. Eng. Softw., 2011

2010
Collaborative development of predictive toxicology applications.
J. Cheminformatics, 2010

Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation.
Int. J. Neural Syst., 2010

A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings.
Autom., 2010

2009
Nonlinear robust control of parabolic distributed parameter systems by means of radial basis function neural networks and singular value.
Proceedings of the 10th European Control Conference, 2009

2008
Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images.
IEEE Trans. Inf. Technol. Biomed., 2008

A metaheuristic approach for the sequencing by hybridization problem with positive and negative errors.
Eng. Appl. Artif. Intell., 2008

Dynamic modeling and control of supply chain systems: A review.
Comput. Oper. Res., 2008

Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models.
Comput. Chem. Eng., 2008

Optimal production scheduling for the dairy industry.
Ann. Oper. Res., 2008

2007
A Simulated Annealing Algorithm for Prioritized Multiobjective Optimization-Implementation in an Adaptive Model Predictive Control Configuration.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening.
J. Comput. Aided Mol. Des., 2007

A threshold accepting heuristic with intense local search for the solution of special instances of the traveling salesman problem.
Eur. J. Oper. Res., 2007

2006
Investigation of substituent effect of 1-(3, 3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques.
J. Comput. Aided Mol. Des., 2006

A classification technique based on radial basis function neural networks.
Adv. Eng. Softw., 2006

2005
A hierarchical fuzzy-clustering approach to fuzzy modeling.
Fuzzy Sets Syst., 2005

A line up evolutionary algorithm for solving nonlinear constrained optimization problems.
Comput. Oper. Res., 2005

Model predictive control for distributed parameter systems using rbf neural networks.
Proceedings of the ICINCO 2005, 2005

2004
A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms.
Comput. Chem. Eng., 2004

2003
A new algorithm for online structure and parameter adaptation of RBF networks.
Neural Networks, 2003

A fast training algorithm for RBF networks based on subtractive clustering.
Neurocomputing, 2003

Fuzzy model predictive control of non-linear processes using genetic algorithms.
Fuzzy Sets Syst., 2003


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