Haralambos Sarimveis

发表

MCDCalc: Markov Chain Molecular Descriptors Calculator for Medicinal Chemistry.

Georgia Tsiliki, Paula Carracedo-Reboredo, Ramiro Corona, 2019, Current topics in medicinal chemistry.

Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing

Panagiotis Patrinos, Haralambos Sarimveis, Philip Doganis, 2006 .

A classification technique based on radial basis function neural networks

Haralambos Sarimveis, Philip Doganis, Alex Alexandridis, 2006, Adv. Eng. Softw..

Fuzzy model predictive control of non-linear processes using genetic algorithms

Haralambos Sarimveis, George V. Bafas, H. Sarimveis, 2003, Fuzzy Sets Syst..

Operational optimization and real-time control of fuel-cell systems

Haralambos Sarimveis, N. C. Markatos, J. Hasikos, 2009 .

A Radial Basis Function network training algorithm using a non-symmetric partition of the input space - Application to a Model Predictive Control configuration

Haralambos Sarimveis, Alex Alexandridis, Konstantinos Ninos, 2011, Adv. Eng. Softw..

Optimal energy management in pulp and paper mills

Haralambos Sarimveis, A. S. Angelou, T. R. Retsina, 2003 .

Apellis: an online tool for read-across model development

Haralambos Sarimveis, Dimitra-Danai Varsou, 2021 .

Robust optimal control: calculation of the explicitcontrol law combining dynamic programming and multiparametric optimization

Panagiotis Patrinos, Haralambos Sarimveis, 2007 .

Model Predictive Control for Linear Impulsive Systems

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2015, IEEE Trans. Autom. Control..

Development of a novel computational tool for optimizing the operation of fuel cells systems: Application for phosphoric acid fuel cells

Haralambos Sarimveis, N. C. Markatos, P. L. Zervas, 2008 .

QSAR modeling of the toxicity classification of superparamagnetic iron oxide nanoparticles (SPIONs) in stem-cell monitoring applications: an integrated study from data curation to model development

Haralambos Sarimveis, Marianna I. Kotzabasaki, Iason Sotiropoulos, 2020, RSC advances.

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

Panagiotis Patrinos, Haralambos Sarimveis, Panagiotis Patrinos, 2010, Autom..

A Novel RBF Neural Network Training Methodology to Predict Toxicity to Vibrio Fischeri

Haralambos Sarimveis, Alex Alexandridis, Georgia Melagraki, 2006, Molecular Diversity.

Transcriptomics in Toxicogenomics, Part II: Preprocessing and Differential Expression Analysis for High Quality Data

Haralambos Sarimveis, Tomasz Puzyn, Antreas Afantitis, 2020, Nanomaterials.

Read-across predictions of nanoparticle hazard endpoints: a mathematical optimization approach

Haralambos Sarimveis, Georgia Melagraki, Dimitra-Danai Varsou, 2019, Nanoscale advances.

Nonlinear robust control of parabolic distributed parameter systems by means of radial basis function neural networks and singular value

Haralambos Sarimveis, Eleni Aggelogiannaki, 2009, 2009 European Control Conference (ECC).

A fast training algorithm for RBF networks based on subtractive clustering

Haralambos Sarimveis, Alex Alexandridis, George V. Bafas, 2003, Neurocomputing.

Jaqpot Quattro: A Novel Computational Web Platform for Modeling and Analysis in Nanoinformatics

Pantelis Sopasakis, Georgia Tsiliki, Haralambos Sarimveis, 2017, J. Chem. Inf. Model..

A Fast and Efficient Method for Training Categorical Radial Basis Function Networks

Haralambos Sarimveis, Alex Alexandridis, Eva Chondrodima, 2017, IEEE Trans. Neural Networks Learn. Syst..

AN RBF BASED NEURO-DYNAMIC APPROACH FOR THE CONTROL OF STOCHASTIC DYNAMIC SYSTEMS

Panagiotis Patrinos, Haralambos Sarimveis, 2005 .

An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models

Haralambos Sarimveis, Alex Alexandridis, Elias N. Zois, 2018, Sensors.

Consensus QSAR modeling and domain of applicability: an integrated approach

Pantelis Sopasakis, Haralambos Sarimveis, Georgia Melagraki, 2010 .

An explicit optimal control approach for mean-risk dynamic portfolio allocation

Panagiotis Patrinos, Haralambos Sarimveis, Panagiotis Patrinos, 2007, 2007 European Control Conference (ECC).

Optimal production scheduling for the dairy industry

Haralambos Sarimveis, Philip Doganis, 2008, Ann. Oper. Res..

Robust model predictive control for optimal continuous drug administration

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2014, Comput. Methods Programs Biomed..

Development of Deep Learning Models for Predicting the Effects of Exposure to Engineered Nanomaterials on Daphnia magna.

Haralambos Sarimveis, Philip Doganis, Antreas Afantitis, 2020, Small.

Physiologically Based Pharmacokinetic Modeling and Predictive Control

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2011 .

A global piecewise smooth Newton method for fast large-scale model predictive control

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2011, Autom..

Using the RRegrs R package for automating predictive modelling

Georgia Tsiliki, Carlos Fernandez-Lozano, Haralambos Sarimveis, 2015 .

Stochastic Model Predictive Control for Constrained Networked Control Systems with Random Time Delay

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2011 .

Direct versus indirect neural control based on radial basis function networks

Haralambos Sarimveis, Alex Alexandridis, Evangelos Zervas, 2014, 2014 6th Computer Science and Electronic Engineering Conference (CEEC).

Multiobjective constrained mpc with simultaneous closed loop identification for mimo processes

Haralambos Sarimveis, George Bafas, Eleni Aggelogiannaki, 2004 .

Deliverable Report D5.7 Final Report On User Applications

Georgia Tsiliki, Haralambos Sarimveis, Philip Doganis, 2016 .

A Data Fusion Pipeline for Generating and Enriching Adverse Outcome Pathway Descriptions

Georgia Tsiliki, Haralambos Sarimveis, Egon Willighagen, 2017, Toxicological sciences : an official journal of the Society of Toxicology.

Predictive control algorithms for congestion management in electric power distribution grids

Haralambos Sarimveis, Ioannis Kalogeropoulos, H. Sarimveis, 2020 .

Adaptive control of continuous pulp digesters based on radial basis function neural network models

Haralambos Sarimveis, Alex Alexandridis, George Bafas, 2003 .

A genetic algorithm approach for parameter estimation in vapour-liquid thermodynamic modelling problems

Haralambos Sarimveis, Panagiotis Erodotou, Epaminondas Voutsas, 2020, Comput. Chem. Eng..

The first eNanoMapper prototype: A substance database to support safe-by-design

Egon L. Willighagen, Georgia Tsiliki, Haralambos Sarimveis, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Answering Scientific Questions with linked European Nanosafety Data

Egon L. Willighagen, Haralambos Sarimveis, Gareth Owen, 2016, SWAT4LS.

MPC for Sampled-Data Linear Systems: guaranteeing continuous-time positive invariance

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2014 .

toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data

Georgia Tsiliki, Haralambos Sarimveis, Dimitra-Danai Varsou, 2017, J. Chem. Inf. Model..

Transcriptomics in Toxicogenomics, Part I: Experimental Design, Technologies, Publicly Available Data, and Regulatory Aspects

Haralambos Sarimveis, Tomasz Puzyn, Antreas Afantitis, 2020, Nanomaterials.

An integer programming approach for optimal drug dose computation

Pantelis Sopasakis, Haralambos Sarimveis, H. Sarimveis, 2012, Comput. Methods Programs Biomed..

An adaptive model predictive control configuration for production-inventory systems

Haralambos Sarimveis, Philip Doganis, Eleni Aggelogiannaki, 2008 .

Model Predictive Control for Linear Impulsive Systems

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

RRegrs: an R package for computer-aided model selection with multiple regression models

Egon L. Willighagen, Georgia Tsiliki, Carlos Fernandez-Lozano, 2015, Journal of Cheminformatics.

Robust model predictive control for discrete-time fractional-order systems

Pantelis Sopasakis, Haralambos Sarimveis, Sotirios Ntouskas, 2015, 2015 23rd Mediterranean Conference on Control and Automation (MED).

Development of a methodology for the computation of a near-optimal explicit control law for nonlinear systems that are subject to constraints coupling fuzzy model predictive control and multi-parametric programming

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2009 .

Explicit control for nonlinear constrained systems combining fuzzy model predictive control and multiparametricprogramming

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2009 .

A Computational Tool for Optimising the Performance of PAFC Fuel- Cells (In Greek ). ΑΝΑΠΤΥΞΗ ΕΝΟΣ ΟΛΟΚΛΗΡΩΜΕΝΟΥ ΥΠΟΛΟΓΙΣΤΙΚΟΥ ΕΡΓΑΛΕΙΟΥ ΓΙΑ ΤΗΝ ΑΡΙΣΤΟΠΟΙΗΣΗ ΤΗΣ ΛΕΙΤΟΥΡΓΙΑΣ ΚΕΛΙΩΝ ΚΑΥΣΙΜΟΥ ΤΥΠΟΥ PAFC

Haralambos Sarimveis, P. L. Zervas, A. G. Tatsis, 2007 .

Optimal scheduling in a yogurt production line based on mixed integer linear programming

Haralambos Sarimveis, Philip Doganis, H. Sarimveis, 2007 .

An MILP Model for Optimal Scheduling of the Lubricant Production Plant

Haralambos Sarimveis, Philip Doganis, George Bafas, 2005 .

Stabilising model predictive control for discrete-time fractional-order systems

Pantelis Sopasakis, Haralambos Sarimveis, H. Sarimveis, 2016, Autom..

A Model Predictive Control Framework for Residential Microgrids

Lazaros G. Papageorgiou, Haralambos Sarimveis, E. D. Mehleri, 2012 .

NEURAL NETWORK MODEL IDENTIFICATION BASED ON THE SUBTRACTIVE CLUSTERING METHOD

Haralambos Sarimveis, Alex Alexandridis, George Bafas, 2002 .

A Model Predictive Control Approach for Optimal Drug Administration

Pantelis Sopasakis, Haralambos Sarimveis, Georgia Melagraki, 2009 .

Model predictive control for distributed parameter systems using rbf neural networks

Haralambos Sarimveis, Eleni Aggelogiannaki, 2005, ICINCO.

Modeling and administration scheduling of fractional-order pharmacokinetic systems

Aris Dokoumetzidis, Pantelis Sopasakis, Panagiotis Patrinos, 2017, 1701.08668.

Radial Basis Function Neural Networks Classification for the Recognition of Idiopathic Pulmonary Fibrosis in Microscopic Images

Chris T. Kiranoudis, Vassilis Aidinis, Haralambos Sarimveis, 2008, IEEE Transactions on Information Technology in Biomedicine.

A safe-by-design tool for functionalised nanomaterials through the Enalos Nanoinformatics Cloud platform

Haralambos Sarimveis, Antreas Afantitis, Andreas Tsoumanis, 2018, Nanoscale advances.

Artificial neural networks for input-output dynamic modeling of nonlinear processes

Haralambos Sarimveis, 1992 .

Dynamic Optimization for Vortex Shedding Suppression

Haralambos Sarimveis, Ioannis Bonis, Dimitrios Koubogiannis, 2016 .

eNanoMapper Updates and its Collaborations with the Community #2

Georgia Tsiliki, Haralambos Sarimveis, Philip Doganis, 2016 .

Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment

Haralambos Sarimveis, Tomasz Puzyn, Antreas Afantitis, 2020, Nanomaterials.

Optimal Design and Operation of Distributed Energy Systems

Lazaros G. Papageorgiou, Haralambos Sarimveis, E. D. Mehleri, 2011 .

MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2014, IEEE Transactions on Automatic Control.

Derivation of a feedback control law in explicit form for nonlinear systems coupling Fuzzy Model Predictive Control and multi-parametric programming

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2008 .

A Simulated Annealing Algorithm for Prioritized Multiobjective Optimization—Implementation in an Adaptive Model Predictive Control Configuration

Haralambos Sarimveis, Eleni Aggelogiannaki, H. Sarimveis, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

MODELING AND CONTROL OF CONTINUOUS DIGESTERS USING THE PLS METHODOLOGY

Haralambos Sarimveis, Alex Alexandridis, George Bafas, 2004 .

Optimization of window-openings design for thermal comfort in naturally ventilated buildings

Haralambos Sarimveis, N. C. Markatos, P. L. Zervas, 2012 .

The eNanoMapper database for nanomaterial safety information

Georgia Tsiliki, Haralambos Sarimveis, Philip Doganis, 2015, Beilstein journal of nanotechnology.

Jaqpot: an open source web platform for modelling and model publishing integrated into a safety assessment e-infrastructure

Georgia Tsiliki, Haralambos Sarimveis, Philip Doganis, 2017 .

Model predictive temperature control in long ducts by means of a neural network approximation tool

Haralambos Sarimveis, Eleni Aggelogiannaki, Dimitrios Koubogiannis, 2007 .

Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2010, Int. J. Neural Syst..

Music genre classification using radial basis function networks and particle swarm optimization

Haralambos Sarimveis, Alex Alexandridis, Eva Chondrodima, 2014, 2014 6th Computer Science and Electronic Engineering Conference (CEEC).

Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models

Haralambos Sarimveis, Eleni Aggelogiannaki, H. Sarimveis, 2008, Comput. Chem. Eng..

Training algorithms and learning abilities of three different types of artificial neural networks

Haralambos Sarimveis, H. Sarimveis, 2000 .

Design and Operational Optimisation of a Heating Pipeline Network within a Microgrid

Haralambos Sarimveis, Lazaros G. Papageorgiou, E. D. Mehleri, 2011 .

Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?

Haralambos Sarimveis, Philip Doganis, Egon Willighagen, 2020, Nanomaterials.

Optimal design and operation of distributed energy systems: Application to Greek residential sector

Lazaros G. Papageorgiou, Haralambos Sarimveis, E. D. Mehleri, 2013 .

A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level

Lazaros G. Papageorgiou, Haralambos Sarimveis, E. D. Mehleri, 2012 .

A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms

Haralambos Sarimveis, Alex Alexandridis, George V. Bafas, 2004, Comput. Chem. Eng..

NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment

Jerzy Leszczynski, Haralambos Sarimveis, Philip Doganis, 2020, Computational and structural biotechnology journal.

Design of a novel adaptive inventory control system based on the online identification of lead time

Haralambos Sarimveis, Eleni Aggelogiannaki, H. Sarimveis, 2008 .

Decision Trees for Continuous Data and Conditional Mutual Information as a Criterion for Splitting Instances.

Haralambos Sarimveis, Philip Doganis, Georgios Drakakis, 2016, Combinatorial chemistry & high throughput screening.

Model-based optimal control of a hybrid power generation system consisting of photovoltaic arrays and fuel cells

Haralambos Sarimveis, N. C. Markatos, P. L. Zervas, 2008 .

Stochastic model predictive control for constrained discrete-time Markovian switching systems

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2014, Autom..

A Fast and Efficient Method for Training Categorical Radial Basis Function Networks

Haralambos Sarimveis, Alex Alexandridis, Eva Chondrodima, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology.

Haralambos Sarimveis, Emilio Benfenati, Tomasz Puzyn, 2017, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

Selection of window sizes for optimizing occupational comfort and hygiene based on computational fluid dynamics and neural networks

Haralambos Sarimveis, N. C. Markatos, P. L. Zervas, 2011 .

Enanomapper Applications To Support The Risk Assessment Of Nanomaterials

Haralambos Sarimveis, Philip Doganis, Egon Willighagen, 2017 .

Dynamic modeling and control of supply chain systems: A review

Christos D. Tarantilis, Chris T. Kiranoudis, Panagiotis Patrinos, 2008, Comput. Oper. Res..

A hierarchical fuzzy-clustering approach to fuzzy modeling

Haralambos Sarimveis, George V. Bafas, George E. Tsekouras, 2005, Fuzzy Sets Syst..

Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization

Haralambos Sarimveis, Alex Alexandridis, Eva Chondrodima, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Development of nonlinear quantitative structure-activity relationships using RBF networks and evolutionary computing

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2004 .

INFERENTIAL SENSORS FOR ON-LINE MONITORING OF TISSUE MACHINE QUALITY PROPERTIES

Haralambos Sarimveis, H. Sarimveis, 2001 .

A fuzzy logic approach for the classification of product qualitative characteristics

Haralambos Sarimveis, George E. Tsekouras, George Bafas, 2002 .

A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms

Haralambos Sarimveis, Alex Alexandridis, George Bafas, 2002, Comput. Chem. Eng..

Chapter 11:Computational Modelling of Biological Responses to Engineered Nanomaterials

Haralambos Sarimveis, Philip Doganis, Barry Hardy, 2017 .

Neural network model-based paper machine marginal cost curves

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2005 .

Optimal production scheduling for dairy industries

Panagiotis Patrinos, Haralambos Sarimveis, Philip Doganis, 2005 .

Collaborative development of predictive toxicology applications

Pantelis Sopasakis, Surajit Ray, Haralambos Sarimveis, 2010, J. Cheminformatics.

Cooperative learning for radial basis function networks using particle swarm optimization

Haralambos Sarimveis, Alex Alexandridis, Eva Chondrodima, 2016, Appl. Soft Comput..

Control of processes with multiple steady states using MPC and RBF neural networks

Haralambos Sarimveis, Alex Alexandridis, 2011 .

A metaheuristic approach for the sequencing by hybridization problem with positive and negative errors

Haralambos Sarimveis, Athanassios Nikolakopoulos, 2008, Eng. Appl. Artif. Intell..

ToxOtis: A Java Interface to the OpenTox Predictive Toxicology Network

Pantelis Sopasakis, Haralambos Sarimveis, 2013 .

An enhanced decentralized artificial immune-based strategy formulation algorithm for swarms of autonomous vehicles

Haralambos Sarimveis, Alex Alexandridis, Marios Stogiannos, 2020, Appl. Soft Comput..

Radial basis function neural networks classification using very high spatial resolution satellite imagery: an application to the habitat area of Lake Kerkini (Greece)

Chris T. Kiranoudis, Haralambos Sarimveis, Iphigenia Keramitsoglou, 2005 .

A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2005 .

Optimization of power production through coordinated use of hydroelectric and conventional power units

Haralambos Sarimveis, Philip Doganis, 2014 .

Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2007, J. Comput. Aided Mol. Des..

A Model Predictive Control and Time Series Forecasting Framework for Supply Chain Management

Haralambos Sarimveis, Philip Doganis, Eleni Aggelogiannaki, 2008 .

Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006, J. Comput. Aided Mol. Des..

A threshold accepting heuristic with intense local search for the solution of special instances of the traveling salesman problem

Haralambos Sarimveis, Athanassios Nikolakopoulos, H. Sarimveis, 2007, Eur. J. Oper. Res..

Ecosystem classification using artificial intelligence neural networks and very high spatial resolution satellite imagery

Chris T. Kiranoudis, Haralambos Sarimveis, Iphigenia Keramitsoglou, 2004, SPIE Remote Sensing.

Nonlinear adaptive model predictive control based on self‐correcting neural network models

Haralambos Sarimveis, Alex Alexandridis, H. Sarimveis, 2005 .

A line up evolutionary algorithm for solving nonlinear constrained optimization problems

Haralambos Sarimveis, Athanassios Nikolakopoulos, H. Sarimveis, 2005, Comput. Oper. Res..

Maximization of profit through optimal selection of inventory levels and production rates in pulp and paper mills

Haralambos Sarimveis, George Bafas, Theodora Retsina, 2003 .

MouseTox: An online toxicity assessment tool for small molecules through Enalos Cloud platform.

Haralambos Sarimveis, Georgia Melagraki, Dimitra-Danai Varsou, 2017, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

A Fast and Efficient Algorithm for Training Radial Basis Function Neural Networks Based on a Fuzzy Partition of the Input Space

Haralambos Sarimveis, Alex Alexandridis, George E. Tsekouras, 2002 .

JAQPOT RESTful Web Services: An Implementation of the OpenTox Application Programming Interface for On-line Prediction of Toxicological Properties

Pantelis Sopasakis, Haralambos Sarimveis, 2013 .

Design of robust nonsquare constrained model‐predictive control

Haralambos Sarimveis, Michael Nikolaou, Hasmet Genceli, 1996 .

A new algorithm for online structure and parameter adaptation of RBF networks

Haralambos Sarimveis, Alex Alexandridis, George V. Bafas, 2003, Neural Networks.

A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation

Chris T. Kiranoudis, Haralambos Sarimveis, Alex Alexandridis, 2004 .

OpenRiskNet, an open e-infrastructure to support data sharing, knowledge integration and in silico analysis and modelling in risk assessment

Ola Spjuth, Haralambos Sarimveis, Philip Doganis, 2018, Toxicology Letters.

Convex parametric piecewise quadratic optimization: Theory and algorithms

Panagiotis Patrinos, Haralambos Sarimveis, Panagiotis Patrinos, 2011, Autom..

Modelling of nonlinear process dynamics using Kohonen's neural networks, fuzzy systems and Chebyshev series

Constantinos I. Siettos, Haralambos Sarimveis, Alex Alexandridis, 2001 .

The performance of pixel window algorithms in the classification of habitats using VHSR imagery

Chris T. Kiranoudis, Haralambos Sarimveis, Charalambos Kontoes, 2006 .

Population pharmacokinetic reanalysis of a Diazepam PBPK model: a comparison of Stan and GNU MCSim

Georgia Tsiliki, Haralambos Sarimveis, Aristides Dokoumetzidis, 2019, Journal of Pharmacokinetics and Pharmacodynamics.

Decibell: A novel approach to the ORM software in Java

Pantelis Sopasakis, Haralambos Sarimveis, Haralambos Chomenides, 2010 .

A combined model predictive control and time series forecasting framework for production-inventory systems

Haralambos Sarimveis, Philip Doganis, Eleni Aggelogiannaki, 2008 .

NanoSolveIT integration of tools for assessment of human and environmental exposure to nanomaterials

Haralambos Sarimveis, Philip Doganis, Andreas Tsoumanis, 2021, Handbook of Functionalized Nanomaterials.

Automated Grouping of Nanomaterials and Read-Across Prediction of Their Adverse Effects Based on Mathematical Optimization

Haralambos Sarimveis, Dimitra-Danai Varsou, Nikoletta-Maria Koutroumpa, 2021, J. Chem. Inf. Model..

A robust model predictive control framework for the regulation of anesthesia process with Propofol

Haralambos Sarimveis, Sotiris Ntouskas, H. Sarimveis, 2021, Optimal Control Applications and Methods.

Development of QSAR ensemble models for predicting the PAMPA Effective Permeability of new, non-peptidic leads with potential antiviral activity against the coronavirus SARS-CoV-2.

Haralambos Sarimveis, Philip Doganis, Chrysoula Gousiadou, 2021 .

Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions

Haralambos Sarimveis, Alex Alexandridis, Marios Stogiannos, 2021, Sensors.

Prediction of daily global solar irradiance on horizontal surfaces based on neural-network techniques

Haralambos Sarimveis, P. L. Zervas, N. C. Markatos, 2008 .

A novel QSAR model for predicting induction of apoptosis by 4-aryl-4H-chromenes.

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006, Bioorganic & medicinal chemistry.

A neural network approach to the prediction of diesel fuel lubricity

Haralambos Sarimveis, Alex Alexandridis, Dimitrios M. Korres, 2002 .

Model predictive control for systems with fast dynamics using inverse neural models.

Haralambos Sarimveis, Alex Alexandridis, Marios Stogiannos, 2017, ISA transactions.

A combined LS-SVM & MLR QSAR workflow for predicting the inhibition of CXCR3 receptor by quinazolinone analogs

George Kollias, Haralambos Sarimveis, Georgia Melagraki, 2010, Molecular Diversity.

A Method for Fuzzy System Identification Based on Clustering Analysis

Haralambos Sarimveis, George E. Tsekouras, George Bafas, 2002 .

Predictive QSAR workflow for the in silico identification and screening of novel HDAC inhibitors

George Kollias, Haralambos Sarimveis, Georgia Melagraki, 2009, Molecular Diversity.

Modelling of nonlinear process dynamics using Kohonen's neural networks, fuzzy systems and Chebyshev series

Constantinos I. Siettos, Haralambos Sarimveis, Alex Alexandridis, 2002 .

Fractional calculus in pharmacokinetics

Pantelis Sopasakis, Haralambos Sarimveis, Panos Macheras, 2018, Journal of Pharmacokinetics and Pharmacodynamics.

A new neural network model for evaluating the performance of various hourly slope irradiation models: Implementation for the region of Athens

Haralambos Sarimveis, P. L. Zervas, N. C. Markatos, 2010 .

Prediction of intrinsic viscosity in polymer-solvent combinations using a QSPR model

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006 .

Development of a computational tool to quantify architectural-design effects on thermal comfort in naturally ventilated rural houses

Haralambos Sarimveis, P. L. Zervas, N. C. Markatos, 2010 .

Enriching Nanomaterials Omics Data: An Integration Technique to Generate Biological Descriptors

Georgia Tsiliki, Haralambos Sarimveis, Pekka Kohonen, 2017 .

Mixed Integer Linear Programming Scheduling in the Food Industry

Haralambos Sarimveis, Philip Doganis, 2008 .

A Novel QSAR Model for Evaluating and Predicting the Inhibition Activity of Dipeptidyl Aspartyl Fluoromethylketones

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006 .

A novel QSPR model for predicting θ (lower critical solution temperature) in polymer solutions using molecular descriptors

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006, Journal of molecular modeling.

Development and Evaluation of a QSPR Model for the Prediction of Diamagnetic Susceptibility

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2008 .

Prediction of toxicity using a novel RBF neural network training methodology

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006, Journal of molecular modeling.

A simple algorithm for training fuzzy systems using input-output data

Haralambos Sarimveis, George E. Tsekouras, George Bafas, 2003 .

Ligand-based virtual screening procedure for the prediction and the identification of novel β-amyloid aggregation inhibitors using Kohonen maps and Counterpropagation Artificial Neural Networks.

George Kollias, Haralambos Sarimveis, Georgia Melagraki, 2011, European journal of medicinal chemistry.

Identification of a series of novel derivatives as potent HCV inhibitors by a ligand-based virtual screening optimized procedure.

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2007, Bioorganic & medicinal chemistry.

Controlled Drug Administration by a Fractional PID

Pantelis Sopasakis, Haralambos Sarimveis, H. Sarimveis, 2014 .

A novel QSAR model for predicting the inhibition of CXCR3 receptor by 4-N-aryl-[1,4] diazepane ureas.

George Kollias, Haralambos Sarimveis, Georgia Melagraki, 2009, European journal of medicinal chemistry.

Multiobjective constrained MPC with simultaneous closed‐loop identification

Haralambos Sarimveis, Eleni Aggelogiannaki, H. Sarimveis, 2006 .

A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties

Haralambos Sarimveis, Dimitrios Karonis, Evripidis Lois, 2003 .

A GIS based operational system for wildland fire crisis management II. System architecture and case studies

Chris T. Kiranoudis, Haralambos Sarimveis, Alex Alexandridis, 2004 .

Convex parametric piecewise quadratic optimization : Theory , Algorithms and Control Applications

Haralambos Sarimveis, H. Sarimveis, Panagiotis Patrinosa, 2010 .

A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006, Molecular Diversity.

An offset-free neural controller based on a non-extrapolating scheme for approximating the inverse process dynamics

Haralambos Sarimveis, Alex Alexandridis, Marios Stogiannos, 2013 .

In Silico Exploration for Identifying Structure–Activity Relationship of MEK Inhibition and Oral Bioavailability for Isothiazole Derivatives

George Kollias, Haralambos Sarimveis, Georgia Melagraki, 2010, Chemical biology & drug design.