H. Sarimveis

发表

A new approach for measuring the validity of the fuzzy c -means algorithm

G. Tsekouras, H. Sarimveis, 2004 .

QSAR study on para-substituted aromatic sulfonamides as carbonic anhydrase II inhibitors using topological information indices.

G. Melagraki, A. Afantitis, H. Sarimveis, 2006, Bioorganic & medicinal chemistry.

Prediction of high weight polymers glass transition temperature using RBF neural networks

G. Melagraki, A. Afantitis, H. Sarimveis, 2005 .

Robust nonlinear H∞ control of hyperbolic distributed parameter systems

H. Sarimveis, Eleni Aggelogiannaki, 2009 .

Determination of the optimal tilt angle and orientation for solar photovoltaic arrays

E. D. Mehleri, H. Sarimveis, J. Palyvos, 2010 .

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.

Modeling of continuous digesters using adaptive RBF neural network models

H. Sarimveis, A. Alexandridis, G. Bafas, 2022 .

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 neural network approach to the prediction of diesel fuel lubricity

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

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 .

Risk Management Framework for Nano-Biomaterials Used in Medical Devices and Advanced Therapy Medicinal Products

H. Sarimveis, A. Marcomini, H. Bouwmeester, 2020, Materials.

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.

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

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

A PRIORITIZED MULTIOBJECTIVE MPC CONFIGURATION USING ADAPTIVE RBF NETWORKS AND EVOLUTIONARY COMPUTATION

H. Sarimveis, A. Alexandridis, Eleni Aggelogiannaki, 2005 .

Prioritized adaptive Model Predictive Control using evolutionary algorithms

H. Sarimveis, Eleni Aggelogiannaki, 2005 .

StabilisingModelPredictiveControl forDiscrete-time Fractional-order Systems ?

H. Sarimveis, Pantelis Sopasakis, 2018 .

Model predictive control for offset-free reference tracking of fractional order systems

H. Sarimveis, Pantelis Sopasakis, Sotiris Ntouskas, 2018, 1904.11387.

A Model Predictive Control Framework for Residential Microgrids

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

Affine Radial Basis Function Neural Networks for the Robust Control of Hyperbolic Distributed Parameter Systems

H. Sarimveis, Eleni Aggelogiannaki, 2008 .

A Method for Fuzzy System Identification Based on Clustering Analysis

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

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.

StochasticModelPredictiveControlforConstrained Discrete-timeMarkovianSwitchingSystems ?

A. Bemporad, Panagiotis Patrinos, H. Sarimveis, 2014 .

StochasticModelPredictiveControl forConstrained Discrete-timeMarkovianSwitchingSystems ?

A. Bemporad, Panagiotis Patrinos, H. Sarimveis, 2014 .

Representing and describing nanomaterials in predictive nanoinformatics

E. Wyrzykowska, T. Puzyn, D. Greco, 2022, Nature Nanotechnology.

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

H. Sarimveis, F. Bois, A. Dokoumetzidis, 2019, Journal of Pharmacokinetics and Pharmacodynamics.

Developing Integrated Approaches for Testing and Assessment (IATAs) in order to support nanomaterial safety

H. Sarimveis, H. Bouwmeester, L. Pizzol, 2022, Nanotoxicology.

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.

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.

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

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

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

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

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

Haralambos Sarimveis, H. Sarimveis, 2001 .

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

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

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 of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2

H. Sarimveis, P. Doganis, C. Gousiadou, 2023, Network Modeling Analysis in Health Informatics and Bioinformatics.

Fractional calculus in pharmacokinetics

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

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.

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.

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

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

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

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

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

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

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.

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.

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

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

Predictive control algorithms for congestion management in electric power distribution grids

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

An integer programming approach for optimal drug dose computation

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

A fast training algorithm for RBF networks based on subtractive clustering

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

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.

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

Haralambos Sarimveis, Alex Alexandridis, Marios Stogiannos, 2013 .

Convex parametric piecewise quadratic optimization: Theory and algorithms

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

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

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

Model Predictive Control of distributed energy resources

E. D. Mehleri, H. Sarimveis, L. G. Papageorgiou, 2012, 2012 20th Mediterranean Conference on Control & Automation (MED).

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.

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.

A hierarchical fuzzy-clustering approach to fuzzy modeling

George E. Tsekouras, G. Tsekouras, H. Sarimveis, 2004, Fuzzy Sets Syst..

Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish

H. Sarimveis, S. Harper, T. Wilkins, 2021, Nanotoxicology.

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).

Machine learning methods for multi-walled carbon nanotubes (MWCNT) genotoxicity prediction

H. Sarimveis, C. Charitidis, M. Kotzabasaki, 2021, Nanoscale advances.

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

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

Dynamic modeling and control of supply chain systems: A review

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

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

Haralambos Sarimveis, Eleni Aggelogiannaki, Dimitrios Koubogiannis, 2007 .

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).

Multiobjective constrained MPC with simultaneous closed‐loop identification

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

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

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

Multiobjective constrained mpc with simultaneous closed loop identification for mimo processes

Haralambos Sarimveis, George Bafas, Eleni Aggelogiannaki, 2004 .

The eNanoMapper database for nanomaterial safety information

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

Collaborative development of predictive toxicology applications

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

Design of robust nonsquare constrained model‐predictive control

Haralambos Sarimveis, Michael Nikolaou, Hasmet Genceli, 1996 .

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

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

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

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

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..

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.

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

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

A line up evolutionary algorithm for solving nonlinear constrained optimization problems

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

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 .

ELIXIR and Toxicology: a community in development [version 1; peer review: 1 approved, 1 approved with reservations]

Emma L. Schymanski, Thomas E. Exner, Evan E. Bolton, 2022 .

ELIXIR and Toxicology: a community in development

Emma L. Schymanski, Thomas E. Exner, Evan E. Bolton, 2021, F1000Research.

ELIXIR and Toxicology: a community in development [version 1; peer review: awaiting peer review]

Emma L. Schymanski, Thomas E. Exner, Evan E. Bolton, 2021 .

Towards an in silico integrated approach for testing and assessment of nanomaterials: from predicted indoor air concentrations to lung dose and biodistribution

G. Melagraki, A. Afantitis, H. Sarimveis, 2022, Environmental Science: Nano.

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

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

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

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

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

Haralambos Sarimveis, Philip Doganis, Eleni Aggelogiannaki, 2008 .

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

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

An approach for predicting the effects of endocrine disrupting chemicals on human health using deep learning

H. Sarimveis, P. Stefaneas, P. Karatzas, 2020, medRxiv.

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

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

Image Analysis and Deep Learning Web Services for Nano informatics

Laura-Jayne A. Ellis, G. Melagraki, A. Afantitis, 2021, Chemometrics and Cheminformatics in Aquatic Toxicology.

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

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

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

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

Controlled Drug Administration by a Fractional PID

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

An adaptive model predictive control configuration for production-inventory systems

Haralambos Sarimveis, Philip Doganis, Eleni Aggelogiannaki, 2008 .

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..

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

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

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

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

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

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

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.

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).

MCDCalc: Markov Chain Molecular Descriptors Calculator for Medicinal Chemistry.

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

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..

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.

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

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2008 .

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

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006 .

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

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

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

Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, 2006 .

Model Predictive Control for Linear Impulsive Systems

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

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

Haralambos Sarimveis, H. Sarimveis, 2000 .

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

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

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

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2005 .

Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants

H. Sarimveis, A. Alexandridis, Ioannis Kalogeropoulos, 2022, Journal of Process Control.

Modeling and administration scheduling of fractional-order pharmacokinetic systems

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

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

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2009 .

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

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

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.

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 .

Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning

H. Sarimveis, S. Harper, T. Wilkins, 2021, Beilstein journal of nanotechnology.

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..

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

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

Cooperative learning for radial basis function networks using particle swarm optimization

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

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..

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.

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..

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 .

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

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

Optimal energy management in pulp and paper mills

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

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 .

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

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2011 .

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 .

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

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

Metadata stewardship in nanosafety research: learning from the past, preparing for an “on-the-fly” FAIR future

Thomas E. Exner, Jaleesia D. Amos, G. Melagraki, 2023, Frontiers in Physics.

University of Birmingham Metadata stewardship in nanosafety research: learning from the past, preparing for an “on-the-fly” FAIR future

Thomas E. Exner, Jaleesia D. Amos, G. Melagraki, 2023 .

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

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

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.

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..

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

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

Prediction of toxicity using a novel RBF neural network training methodology

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

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

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

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..

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).

A fuzzy logic approach for the classification of product qualitative characteristics

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

An image based approach for predicting the eﬀects of endocrine disrupting chemicals on human health using deep learning

Petros S. Stefaneas, H. Sarimveis, P. Karatzas, 2020 .

A classification technique based on radial basis function neural networks

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

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.

Parameter grouping and co-estimation in physiologically based kinetic models using genetic algorithms

H. Sarimveis, P. Tsiros, Vasileios Minadakis, 2024, Toxicological sciences : an official journal of the Society of Toxicology.

Small molecules targeting the structural dynamics of AR-V7 partially disordered protein using deep learning and physics based models

H. Sarimveis, P. Karatzas, Z. F. Brotzakis, 2024, bioRxiv.