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ORCIDHaralambos Sarimveis
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- affiliation: National Technical University of Athens, School of Chemical Engineering, Greece
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2020 – today
- 2024
[j41]Despina Karamichailidou, Georgios Gerolymatos, Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis
:
Radial basis function neural network training using variable projection and fuzzy means. Neural Comput. Appl. 36(33): 21137-21151 (2024)- 2023
- [j40]Chrysoula Gousiadou, Philip Doganis, Haralambos Sarimveis:
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. 12(1): 16 (2023) - 2021
- [j39]Dimitra-Danai Varsou, Nikoletta-Maria Koutroumpa, Haralambos Sarimveis:
Automated Grouping of Nanomaterials and Read-Across Prediction of Their Adverse Effects Based on Mathematical Optimization. J. Chem. Inf. Model. 61(6): 2766-2779 (2021) - [j38]Myron Papadimitrakis, Marios Stogiannos, Haralambos Sarimveis, Alex Alexandridis:
Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions. Sensors 21(21): 6959 (2021) - [c7]Marios Stogiannos, Myron Papadimitrakis, Haralambos Sarimveis, Alex Alexandridis:
Vessel Trajectory Prediction Using Radial Basis Function Neural Networks. EUROCON 2021: 113-118 - 2020
- [j37]Marios Stogiannos, Alex Alexandridis, Haralambos Sarimveis:
An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles. Appl. Soft Comput. 89: 106135 (2020) - [j36]Panagiotis Erodotou, Epaminondas Voutsas, Haralambos Sarimveis:
A genetic algorithm approach for parameter estimation in vapour-liquid thermodynamic modelling problems. Comput. Chem. Eng. 134: 106684 (2020)
2010 – 2019
- 2018
- [j35]Dimitra-Danai Varsou, Georgia Tsiliki, Penny Nymark, Pekka Kohonen, Roland Grafstrom, Haralambos Sarimveis:
toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data. J. Chem. Inf. Model. 58(3): 543-549 (2018) - [j34]Alex Alexandridis, Marios Stogiannos, Nikolaos Papaioannou, Elias N. Zois, Haralambos Sarimveis:
An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models. Sensors 18(1): 315 (2018) - 2017
- [j33]Pantelis Sopasakis, Haralambos Sarimveis:
Stabilising model predictive control for discrete-time fractional-order systems. Autom. 75: 24-31 (2017) - [j32]Charalampos Chomenidis, Georgios Drakakis, Georgia Tsiliki, Evangelia Anagnostopoulou, Angelos Valsamis, Philip Doganis, Pantelis Sopasakis, Haralambos Sarimveis:
Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics. J. Chem. Inf. Model. 57(9): 2161-2172 (2017) - [j31]Alex Alexandridis, Eva Chondrodima, Nikolaos Giannopoulos, Haralambos Sarimveis:
A Fast and Efficient Method for Training Categorical Radial Basis Function Networks. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2831-2836 (2017) - 2016
- [j30]Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis:
Cooperative learning for radial basis function networks using particle swarm optimization. Appl. Soft Comput. 49: 485-497 (2016) - [c6]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:
Answering Scientific Questions with linked European Nanosafety Data. SWAT4LS 2016 - 2015
- [j29]Georgia Tsiliki, Cristian R. Munteanu, José A. Seoane, Carlos Fernandez-Lozano, Haralambos Sarimveis, Egon L. Willighagen:
RRegrs: an R package for computer-aided model selection with multiple regression models. J. Cheminformatics 7: 46:1-46:16 (2015) - [j28]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad:
Model Predictive Control for Linear Impulsive Systems. IEEE Trans. Autom. Control. 60(8): 2277-2282 (2015) - [c5]Pantelis Sopasakis, Sotirios Ntouskas, Haralambos Sarimveis:
Robust model predictive control for discrete-time fractional-order systems? MED 2015: 384-389 - 2014
- [j27]Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis, Alberto Bemporad:
Stochastic model predictive control for constrained discrete-time Markovian switching systems. Autom. 50(10): 2504-2514 (2014) - [j26]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis:
Robust model predictive control for optimal continuous drug administration. Comput. Methods Programs Biomed. 116(3): 193-204 (2014) - [j25]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis:
MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time. IEEE Trans. Autom. Control. 59(4): 1088-1093 (2014) - [c4]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:
The first eNanoMapper prototype: A substance database to support safe-by-design. BIBM 2014: 1-9 - 2013
- [j24]Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis:
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization. IEEE Trans. Neural Networks Learn. Syst. 24(2): 219-230 (2013) - 2012
- [j23]Pantelis Sopasakis, Haralambos Sarimveis:
An integer programming approach for optimal drug dose computation. Comput. Methods Programs Biomed. 108(3): 1022-1035 (2012) - [c3]Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, Alberto Bemporad:
Model Predictive Control for Linear Impulsive Systems. CDC 2012: 5164-5169 - 2011
- [j22]Alex Alexandridis, Haralambos Sarimveis, Konstantinos Ninos:
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. 42(10): 830-837 (2011) - [j21]Panagiotis Patrinos, Haralambos Sarimveis:
Convex parametric piecewise quadratic optimization: Theory and algorithms. Autom. 47(8): 1770-1777 (2011) - [j20]Panagiotis Patrinos, Pantelis Sopasakis, Haralambos Sarimveis:
A global piecewise smooth Newton method for fast large-scale model predictive control. Autom. 47(9): 2016-2022 (2011) - 2010
- [j19]Panagiotis Patrinos, Haralambos Sarimveis:
A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings. Autom. 46(9): 1405-1418 (2010) - [j18]Panagiotis Patrinos, Alex Alexandridis, Konstantinos Ninos, Haralambos Sarimveis:
Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. Int. J. Neural Syst. 20(5): 365-379 (2010) - [j17]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:
Collaborative development of predictive toxicology applications. J. Cheminformatics 2: 7 (2010)
2000 – 2009
- 2009
- [c2]Eleni Aggelogiannaki, Haralambos Sarimveis:
Nonlinear robust control of parabolic distributed parameter systems by means of radial basis function neural networks and singular value. ECC 2009: 2289-2294 - 2008
- [j16]Philip Doganis, Haralambos Sarimveis:
Optimal production scheduling for the dairy industry. Ann. Oper. Res. 159(1): 315-331 (2008) - [j15]Eleni Aggelogiannaki, Haralambos Sarimveis:
Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models. Comput. Chem. Eng. 32(6): 1225-1237 (2008) - [j14]Haralambos Sarimveis, Panagiotis Patrinos, Christos D. Tarantilis, Chris T. Kiranoudis:
Dynamic modeling and control of supply chain systems: A review. Comput. Oper. Res. 35(11): 3530-3561 (2008) - [j13]Athanassios Nikolakopoulos, Haralambos Sarimveis:
A metaheuristic approach for the sequencing by hybridization problem with positive and negative errors. Eng. Appl. Artif. Intell. 21(2): 247-258 (2008) - [j12]Ilias Maglogiannis, Haralambos Sarimveis, Chris T. Kiranoudis, Aristotelis A. Chatziioannou, N. Oikonomou, Vassilis Aidinis:
Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images. IEEE Trans. Inf. Technol. Biomed. 12(1): 42-54 (2008) - 2007
- [j11]Athanassios Nikolakopoulos, Haralambos Sarimveis:
A threshold accepting heuristic with intense local search for the solution of special instances of the traveling salesman problem. Eur. J. Oper. Res. 177(3): 1911-1929 (2007) - [j10]Georgia Melagraki, Antreas Afantitis, Haralambos Sarimveis, Panayiotis A. Koutentis, John Markopoulos, Olga Igglessi-Markopoulou:
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. 21(5): 251-267 (2007) - [j9]Eleni Aggelogiannaki, Haralambos Sarimveis:
A Simulated Annealing Algorithm for Prioritized Multiobjective Optimization-Implementation in an Adaptive Model Predictive Control Configuration. IEEE Trans. Syst. Man Cybern. Part B 37(4): 902-915 (2007) - 2006
- [j8]Haralambos Sarimveis, Philip Doganis, Alex Alexandridis:
A classification technique based on radial basis function neural networks. Adv. Eng. Softw. 37(4): 218-221 (2006) - [j7]Antreas Afantitis, Georgia Melagraki, Haralambos Sarimveis, Panayiotis A. Koutentis, John Markopoulos, Olga Igglessi-Markopoulou:
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. 20(2): 83-95 (2006) - 2005
- [j6]Haralambos Sarimveis, Athanassios Nikolakopoulos:
A line up evolutionary algorithm for solving nonlinear constrained optimization problems. Comput. Oper. Res. 32: 1499-1514 (2005) - [j5]George E. Tsekouras, Haralambos Sarimveis, Evangelia Kavakli, George V. Bafas:
A hierarchical fuzzy-clustering approach to fuzzy modeling. Fuzzy Sets Syst. 150(2): 245-266 (2005) - [c1]Eleni Aggelogiannaki, Haralambos Sarimveis:
Model predictive control for distributed parameter systems using rbf neural networks. ICINCO 2005: 19-24 - 2004
- [j4]Haralambos Sarimveis, Alex Alexandridis, Stefanos Mazarakis, George V. Bafas:
A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms. Comput. Chem. Eng. 28(1-2): 209-217 (2004) - 2003
- [j3]Haralambos Sarimveis, George V. Bafas:
Fuzzy model predictive control of non-linear processes using genetic algorithms. Fuzzy Sets Syst. 139(1): 59-80 (2003) - [j2]Haralambos Sarimveis, Alex Alexandridis, George V. Bafas:
A fast training algorithm for RBF networks based on subtractive clustering. Neurocomputing 51: 501-505 (2003) - [j1]Alex Alexandridis, Haralambos Sarimveis, George V. Bafas:
A new algorithm for online structure and parameter adaptation of RBF networks. Neural Networks 16(7): 1003-1017 (2003)
Coauthor Index
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