Fuzzy model predictive control of non-linear processes using genetic algorithms. - Haralambos Sarimveis; George V. Bafas (Fuzzy Sets Syst., 2003)

A fast training algorithm for RBF networks based on subtractive clustering. - Haralambos Sarimveis; Alex Alexandridis; George V. Bafas (Neurocomputing, 2003)

A new algorithm for online structure and parameter adaptation of RBF networks. - Alex Alexandridis; Haralambos Sarimveis; George V. Bafas (Neural Networks, 2003)

A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms. - Haralambos Sarimveis; Alex Alexandridis; Stefanos Mazarakis; George V. Bafas (Comput. Chem. Eng., 2004)

Model predictive control for distributed parameter systems using rbf neural networks. - Eleni Aggelogiannaki; Haralambos Sarimveis (ICINCO, 2005)

A line up evolutionary algorithm for solving nonlinear constrained optimization problems. - Haralambos Sarimveis; Athanassios Nikolakopoulos (Comput. Oper. Res., 2005)

A hierarchical fuzzy-clustering approach to fuzzy modeling. - George E. Tsekouras; Haralambos Sarimveis; Evangelia Kavakli; George V. Bafas (Fuzzy Sets Syst., 2005)

A classification technique based on radial basis function neural networks. - Haralambos Sarimveis; Philip Doganis; Alex Alexandridis (Adv. Eng. Softw., 2006)

Investigation of substituent effect of 1-(3, 3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques. - Antreas Afantitis; Georgia Melagraki; Haralambos Sarimveis; Panayiotis A. Koutentis; John Markopoulos; Olga Igglessi-Markopoulou (J. Comput. Aided Mol. Des., 2006)

A threshold accepting heuristic with intense local search for the solution of special instances of the traveling salesman problem. - Athanassios Nikolakopoulos; Haralambos Sarimveis (Eur. J. Oper. Res., 2007)

Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening. - Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Panayiotis A. Koutentis; John Markopoulos; Olga Igglessi-Markopoulou (J. Comput. Aided Mol. Des., 2007)

A Simulated Annealing Algorithm for Prioritized Multiobjective Optimization-Implementation in an Adaptive Model Predictive Control Configuration. - Eleni Aggelogiannaki; Haralambos Sarimveis (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Optimal production scheduling for the dairy industry. - Philip Doganis; Haralambos Sarimveis (Ann. Oper. Res., 2008)

Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models. - Eleni Aggelogiannaki; Haralambos Sarimveis (Comput. Chem. Eng., 2008)

Dynamic modeling and control of supply chain systems: A review. - Haralambos Sarimveis; Panagiotis Patrinos; Christos D. Tarantilis; Chris T. Kiranoudis (Comput. Oper. Res., 2008)

A metaheuristic approach for the sequencing by hybridization problem with positive and negative errors. - Athanassios Nikolakopoulos; Haralambos Sarimveis (Eng. Appl. Artif. Intell., 2008)

Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images. - Ilias Maglogiannis; Haralambos Sarimveis; Chris T. Kiranoudis; Aristotelis A. Chatziioannou; N. Oikonomou; Vassilis Aidinis (IEEE Trans. Inf. Technol. Biomed., 2008)

Nonlinear robust control of parabolic distributed parameter systems by means of radial basis function neural networks and singular value. - Eleni Aggelogiannaki; Haralambos Sarimveis (ECC, 2009)

A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings. - Panagiotis Patrinos; Haralambos Sarimveis (Autom., 2010)

Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. - Panagiotis Patrinos; Alex Alexandridis; Konstantinos Ninos; Haralambos Sarimveis (Int. J. Neural Syst., 2010)

Collaborative development of predictive toxicology applications. - Barry J. Hardy; Nicki Douglas; Christoph Helma; Micha Rautenberg; Nina Jeliazkova; Vedrin Jeliazkov; Ivelina Nikolova; Romualdo Benigni; Olga Tcheremenskaia; Stefan Kramer 001; Tobias Girschick; Fabian Buchwald; et al. (J. Cheminformatics, 2010)

A Radial Basis Function network training algorithm using a non-symmetric partition of the input space - Application to a Model Predictive Control configuration. - Alex Alexandridis; Haralambos Sarimveis; Konstantinos Ninos (Adv. Eng. Softw., 2011)

Convex parametric piecewise quadratic optimization: Theory and algorithms. - Panagiotis Patrinos; Haralambos Sarimveis (Autom., 2011)

A global piecewise smooth Newton method for fast large-scale model predictive control. - Panagiotis Patrinos; Pantelis Sopasakis; Haralambos Sarimveis (Autom., 2011)

An integer programming approach for optimal drug dose computation. - Pantelis Sopasakis; Haralambos Sarimveis (Comput. Methods Programs Biomed., 2012)

Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization. - Alex Alexandridis; Eva Chondrodima; Haralambos Sarimveis (IEEE Trans. Neural Networks Learn. Syst., 2013)

The first eNanoMapper prototype: A substance database to support safe-by-design. - Nina Jeliazkova; Philip Doganis; Bengt Fadeel; Roland Grafstrom; Janna Hastings; Vedrin Jeliazkov; Pekka Kohonen; Cristian R. Munteanu; Haralambos Sarimveis; Bart Smeets; Georgia Tsiliki; David Vorgrimmler; et al. (BIBM, 2014)

Stochastic model predictive control for constrained discrete-time Markovian switching systems. - Panagiotis Patrinos; Pantelis Sopasakis; Haralambos Sarimveis; Alberto Bemporad (Autom., 2014)

Robust model predictive control for optimal continuous drug administration. - Pantelis Sopasakis; Panagiotis Patrinos; Haralambos Sarimveis (Comput. Methods Programs Biomed., 2014)

MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time. - Pantelis Sopasakis; Panagiotis Patrinos; Haralambos Sarimveis (IEEE Trans. Autom. Control., 2014)

Robust model predictive control for discrete-time fractional-order systems? - Pantelis Sopasakis; Sotirios Ntouskas; Haralambos Sarimveis (MED, 2015)

RRegrs: an R package for computer-aided model selection with multiple regression models. - Georgia Tsiliki; Cristian R. Munteanu; José A. Seoane; Carlos Fernandez-Lozano; Haralambos Sarimveis; Egon L. Willighagen (J. Cheminformatics, 2015)

Model Predictive Control for Linear Impulsive Systems. - Pantelis Sopasakis; Panagiotis Patrinos; Haralambos Sarimveis; Alberto Bemporad (IEEE Trans. Autom. Control., 2015)

Answering Scientific Questions with linked European Nanosafety Data. - Egon L. Willighagen; Micha Rautenberg; Denis Gebele; Linda Rieswijk; Friederike Ehrhart; Jiakang Chang; Georgios Drakakis; Penny Nymark; Pekka Kohonen; Gareth I. Owen; Haralambos Sarimveis; Christoph Helma; et al. (SWAT4LS, 2016)

Cooperative learning for radial basis function networks using particle swarm optimization. - Alex Alexandridis; Eva Chondrodima; Haralambos Sarimveis (Appl. Soft Comput., 2016)

Stabilising model predictive control for discrete-time fractional-order systems. - Pantelis Sopasakis; Haralambos Sarimveis (Autom., 2017)

A Fast and Efficient Method for Training Categorical Radial Basis Function Networks. - Alex Alexandridis; Eva Chondrodima; Nikolaos Giannopoulos; Haralambos Sarimveis (IEEE Trans. Neural Networks Learn. Syst., 2017)

Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics. - Charalampos Chomenidis; Georgios Drakakis; Georgia Tsiliki; Evangelia Anagnostopoulou; Angelos Valsamis; Philip Doganis; Pantelis Sopasakis; Haralambos Sarimveis (J. Chem. Inf. Model., 2017)

toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data. - Dimitra-Danai Varsou; Georgia Tsiliki; Penny Nymark; Pekka Kohonen; Roland Grafstrom; Haralambos Sarimveis (J. Chem. Inf. Model., 2018)

An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models. - Alex Alexandridis; Marios Stogiannos; Nikolaos Papaioannou; Elias N. Zois; Haralambos Sarimveis (Sensors, 2018)

An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles. - Marios Stogiannos; Alex Alexandridis; Haralambos Sarimveis (Appl. Soft Comput., 2020)

A genetic algorithm approach for parameter estimation in vapour-liquid thermodynamic modelling problems. - Panagiotis Erodotou; Epaminondas Voutsas; Haralambos Sarimveis (Comput. Chem. Eng., 2020)

Vessel Trajectory Prediction Using Radial Basis Function Neural Networks. - Marios Stogiannos; Myron Papadimitrakis; Haralambos Sarimveis; Alex Alexandridis (EUROCON, 2021)

Automated Grouping of Nanomaterials and Read-Across Prediction of Their Adverse Effects Based on Mathematical Optimization. - Dimitra-Danai Varsou; Nikoletta-Maria Koutroumpa; Haralambos Sarimveis (J. Chem. Inf. Model., 2021)

Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions. - Myron Papadimitrakis; Marios Stogiannos; Haralambos Sarimveis; Alex Alexandridis (Sensors, 2021)

Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2. - Chrysoula Gousiadou; Philip Doganis; Haralambos Sarimveis (Netw. Model. Anal. Health Informatics Bioinform., 2023)

Radial basis function neural network training using variable projection and fuzzy means. - Despina Karamichailidou; Georgios Gerolymatos; Panagiotis Patrinos; Haralambos Sarimveis; Alex Alexandridis (Neural Comput. Appl., 2024)

The SABYDOMA Safety by Process Control framework for the production of functional, safe and sustainable nanomaterials. - Argyri Kardamaki; Athanassios Nikolakopoulos; Mihalis Kavousanakis; Philip Doganis; Matt Jellicoe; William Stokes; Vesa Hongisto; Matthew Simmons; Thomas W. Chamberlain; Nikil Kapur; Roland Grafstrom; Andrew Nelson; et al. (Comput. Chem. Eng., 2025)

Control of wastewater treatment plants using economic-oriented MPC and attention-based RNN disturbance prediction models. - Teo Protoulis; Ioannis Kordatos; Ioannis Kalogeropoulos; Haralambos Sarimveis; Alex Alexandridis (Comput. Chem. Eng., 2025)

Prediction of blood-brain barrier and Caco-2 permeability through the Enalos Cloud Platform: combining contrastive learning and atom-attention message passing neural networks. - Nikoletta-Maria Koutroumpa; Andreas Tsoumanis; Haralambos Sarimveis; Iseult Lynch; Georgia Melagraki; Antreas Afantitis (J. Cheminformatics, 2025)