Haralambos Sarimveis

51 papers C 1Journal 44Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Control of wastewater treatment plants using economic-oriented MPC and attention-based RNN disturbance prediction models.
Comput. Chem. Eng.
Teo Protoulis, Ioannis Kordatos, Ioannis Kalogeropoulos, Haralambos Sarimveis, Alex Alexandridis
2025 J jnl
Prediction of blood-brain barrier and Caco-2 permeability through the Enalos Cloud Platform: combining contrastive learning and atom-attention message passing neural networks.
J. Cheminformatics
Nikoletta-Maria Koutroumpa, Andreas Tsoumanis, Haralambos Sarimveis, Iseult Lynch, Georgia Melagraki, Antreas Afantitis
2025 J jnl
The SABYDOMA Safety by Process Control framework for the production of functional, safe and sustainable nanomaterials.
Comput. Chem. Eng.
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, Haralambos Sarimveis
2024 J jnl
Radial basis function neural network training using variable projection and fuzzy means.
Neural Comput. Appl.
Despina Karamichailidou, Georgios Gerolymatos, Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis
2023 J jnl
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.
Chrysoula Gousiadou, Philip Doganis, Haralambos Sarimveis
2021 J jnl
Automated Grouping of Nanomaterials and Read-Across Prediction of Their Adverse Effects Based on Mathematical Optimization.
J. Chem. Inf. Model.
Dimitra-Danai Varsou, Nikoletta-Maria Koutroumpa, Haralambos Sarimveis
2021 J jnl
Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions.
Sensors
Myron Papadimitrakis, Marios Stogiannos, Haralambos Sarimveis, Alex Alexandridis
2021 — conf
Vessel Trajectory Prediction Using Radial Basis Function Neural Networks.
EUROCON
Marios Stogiannos, Myron Papadimitrakis, Haralambos Sarimveis, Alex Alexandridis
2020 J jnl
A genetic algorithm approach for parameter estimation in vapour-liquid thermodynamic modelling problems.
Comput. Chem. Eng.
Panagiotis Erodotou, Epaminondas Voutsas, Haralambos Sarimveis
2020 J jnl
An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles.
Appl. Soft Comput.
Marios Stogiannos, Alex Alexandridis, Haralambos Sarimveis
2018 J jnl
An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models.
Sensors
Alex Alexandridis, Marios Stogiannos, Nikolaos Papaioannou, Elias N. Zois, Haralambos Sarimveis
2018 J jnl
toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data.
J. Chem. Inf. Model.
Dimitra-Danai Varsou, Georgia Tsiliki, Penny Nymark, Pekka Kohonen, Roland Grafstrom, Haralambos Sarimveis
2017 J jnl
A Fast and Efficient Method for Training Categorical Radial Basis Function Networks.
IEEE Trans. Neural Networks Learn. Syst.
Alex Alexandridis, Eva Chondrodima, Nikolaos Giannopoulos, Haralambos Sarimveis
2017 J jnl
Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics.
J. Chem. Inf. Model.
Charalampos Chomenidis, Georgios Drakakis, Georgia Tsiliki, Evangelia Anagnostopoulou, Angelos Valsamis, Philip Doganis, Pantelis Sopasakis, Haralambos Sarimveis
2017 J jnl
Stabilising model predictive control for discrete-time fractional-order systems.
Autom.
Pantelis Sopasakis, Haralambos Sarimveis
2016 — conf
Answering Scientific Questions with linked European Nanosafety Data.
SWAT4LS
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, Nina Jeliazkova
2016 J jnl
Cooperative learning for radial basis function networks using particle swarm optimization.
Appl. Soft Comput.
Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis
2015 J jnl
Model Predictive Control for Linear Impulsive Systems.
IEEE Trans. Autom. Control.
Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad
2015 J jnl
RRegrs: an R package for computer-aided model selection with multiple regression models.
J. Cheminformatics
Georgia Tsiliki, Cristian R. Munteanu, José A. Seoane, Carlos Fernandez-Lozano, Haralambos Sarimveis, Egon L. Willighagen
2015 — conf
Robust model predictive control for discrete-time fractional-order systems?
MED
Pantelis Sopasakis, Sotirios Ntouskas, Haralambos Sarimveis
2014 J jnl
MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time.
IEEE Trans. Autom. Control.
Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis
2014 J jnl
Robust model predictive control for optimal continuous drug administration.
Comput. Methods Programs Biomed.
Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis
2014 J jnl
Stochastic model predictive control for constrained discrete-time Markovian switching systems.
Autom.
Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis, Alberto Bemporad
2014 — conf
The first eNanoMapper prototype: A substance database to support safe-by-design.
BIBM
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, Egon L. Willighagen
2013 J jnl
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis
2012 J jnl
An integer programming approach for optimal drug dose computation.
Comput. Methods Programs Biomed.
Pantelis Sopasakis, Haralambos Sarimveis
2012 — conf
Model Predictive Control for Linear Impulsive Systems.
CDC
Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad
2011 J jnl
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.
Alex Alexandridis, Haralambos Sarimveis, Konstantinos Ninos
2011 J jnl
A global piecewise smooth Newton method for fast large-scale model predictive control.
Autom.
Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis
2011 J jnl
Convex parametric piecewise quadratic optimization: Theory and algorithms.
Autom.
Panagiotis Patrinos, Haralambos Sarimveis
2010 J jnl
A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings.
Autom.
Panagiotis Patrinos, Haralambos Sarimveis
2010 J jnl
Collaborative development of predictive toxicology applications.
J. Cheminformatics
Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey V. Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry S. Druzhilovskiy, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher
2010 J jnl
Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation.
Int. J. Neural Syst.
Panagiotis Patrinos, Alex Alexandridis, Konstantinos Ninos, Haralambos Sarimveis
2009 — conf
Nonlinear robust control of parabolic distributed parameter systems by means of radial basis function neural networks and singular value.
ECC
Eleni Aggelogiannaki, Haralambos Sarimveis
2008 J jnl
A metaheuristic approach for the sequencing by hybridization problem with positive and negative errors.
Eng. Appl. Artif. Intell.
Athanassios Nikolakopoulos, Haralambos Sarimveis
2008 J jnl
Dynamic modeling and control of supply chain systems: A review.
Comput. Oper. Res.
Haralambos Sarimveis, Panagiotis Patrinos, Christos D. Tarantilis, Chris T. Kiranoudis
2008 J jnl
Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models.
Comput. Chem. Eng.
Eleni Aggelogiannaki, Haralambos Sarimveis
2008 J jnl
Optimal production scheduling for the dairy industry.
Ann. Oper. Res.
Philip Doganis, Haralambos Sarimveis
2008 J jnl
Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images.
IEEE Trans. Inf. Technol. Biomed.
Ilias Maglogiannis, Haralambos Sarimveis, Chris T. Kiranoudis, Aristotelis A. Chatziioannou, N. Oikonomou, Vassilis Aidinis
2007 J jnl
A Simulated Annealing Algorithm for Prioritized Multiobjective Optimization-Implementation in an Adaptive Model Predictive Control Configuration.
IEEE Trans. Syst. Man Cybern. Part B
Eleni Aggelogiannaki, Haralambos Sarimveis
2007 J jnl
A threshold accepting heuristic with intense local search for the solution of special instances of the traveling salesman problem.
Eur. J. Oper. Res.
Athanassios Nikolakopoulos, Haralambos Sarimveis
2007 J jnl
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.
Georgia Melagraki, Antreas Afantitis, Haralambos Sarimveis, Panayiotis A. Koutentis, John Markopoulos, Olga Igglessi-Markopoulou
2006 J jnl
A classification technique based on radial basis function neural networks.
Adv. Eng. Softw.
Haralambos Sarimveis, Philip Doganis, Alex Alexandridis
2006 J jnl
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.
Antreas Afantitis, Georgia Melagraki, Haralambos Sarimveis, Panayiotis A. Koutentis, John Markopoulos, Olga Igglessi-Markopoulou
2005 J jnl
A hierarchical fuzzy-clustering approach to fuzzy modeling.
Fuzzy Sets Syst.
George E. Tsekouras, Haralambos Sarimveis, Evangelia Kavakli, George V. Bafas
2005 J jnl
A line up evolutionary algorithm for solving nonlinear constrained optimization problems.
Comput. Oper. Res.
Haralambos Sarimveis, Athanassios Nikolakopoulos
2005 C conf
Model predictive control for distributed parameter systems using rbf neural networks.
ICINCO
Eleni Aggelogiannaki, Haralambos Sarimveis
2004 J jnl
A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms.
Comput. Chem. Eng.
Haralambos Sarimveis, Alex Alexandridis, Stefanos Mazarakis, George V. Bafas
2003 J jnl
A fast training algorithm for RBF networks based on subtractive clustering.
Neurocomputing
Haralambos Sarimveis, Alex Alexandridis, George V. Bafas
2003 J jnl
A new algorithm for online structure and parameter adaptation of RBF networks.
Neural Networks
Alex Alexandridis, Haralambos Sarimveis, George V. Bafas
2003 J jnl
Fuzzy model predictive control of non-linear processes using genetic algorithms.
Fuzzy Sets Syst.
Haralambos Sarimveis, George V. Bafas