Georgios C. Chasparis

Orcid: 0000-0003-3059-3575

Affiliations:
  • Software Competence Center Hagenberg, Austria


According to our database1, Georgios C. Chasparis authored at least 51 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance.
Data Knowl. Eng., January, 2024

AI-Powered Predictions for Electricity Load in Prosumer Communities.
CoRR, 2024

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies.
CoRR, 2024

2023
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning.
CoRR, 2023

Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces.
CoRR, 2023

Automated Cross Channel Temperature Predictions for the PFR Lime Kiln Operating Support.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Gathering Expert Knowledge in Process Industry.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

2022
Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines.
CoRR, 2022

Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021
Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020
Corrections to "Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games".
IEEE Trans. Autom. Control., 2020

2019
Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games.
IEEE Trans. Autom. Control., 2019

Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning.
Int. J. Parallel Program., 2019

A cooperative demand-response framework for day-ahead optimization in battery pools.
Energy Inform., 2019

Measurement-based efficient resource allocation with demand-side adjustments.
Autom., 2019

Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control.
Proceedings of the 17th European Control Conference, 2019

2018
Aspiration-based Perturbed Learning Automata.
Proceedings of the 16th European Control Conference, 2018

Decentralized Energy Networks Based on Blockchain: Background, Overview and Concept Discussion.
Proceedings of the Business Information Systems Workshops, 2018

2017
Stochastic Stability of Reinforcement Learning in Positive-Utility Games.
CoRR, 2017

An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems.
CoRR, 2017

Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Stochastic stability analysis of perturbed learning automata with constant step-size in strategic-form games.
Proceedings of the 2017 American Control Conference, 2017

2016
Generalized Online Transfer Learning for Climate Control in Residential Buildings.
CoRR, 2016

Supervisory Output Prediction for Bilinear Systems by Reinforcement Learning.
CoRR, 2016

Regression Models for Output Prediction of Thermal Dynamics in Buildings.
CoRR, 2016

Design and implementation of distributed resource management for time-sensitive applications.
Autom., 2016

On the optimization of material usage in power transformer manufacturing.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Online transfer learning for climate control in residential buildings.
Proceedings of the 15th European Control Conference, 2016

2015
Nonconvergence to saddle boundary points under perturbed reinforcement learning.
Int. J. Game Theory, 2015

Reinforcement-learning-based efficient resource allocation with demand-side adjustments.
Proceedings of the 14th European Control Conference, 2015

Framework for Fast Prototyping of Energy-Saving Controllers.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

2014
Coevolutionary modeling in network formation.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Nonlinear system identification of thermal dynamics in buildings.
Proceedings of the 13th European Control Conference, 2014

Realistic User Behavior Modeling for Energy Saving in Residential Buildings.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Supervisory system identification for bilinear systems with application to thermal dynamics in buildings.
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014

2013
Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning.
IEEE Trans. Cybern., 2013

Aspiration Learning in Coordination Games.
SIAM J. Control. Optim., 2013

A decomposition approach to multi-region optimal power flow in electricity networks.
Proceedings of the 12th European Control Conference, 2013

A Game-Theoretic Resource Manager for RT Applications.
Proceedings of the 25th Euromicro Conference on Real-Time Systems, 2013

Distributed management of CPU resources for time-sensitive applications.
Proceedings of the American Control Conference, 2013

2012
Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation.
Dyn. Games Appl., 2012

Fair scheduling in common-pool games by aspiration learning.
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

2011
Perturbed learning automata in potential games.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Control of preferences in social networks.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008
Efficient network formation by distributed reinforcement.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2005
Linear-programming-based multi-vehicle path planning with adversaries.
Proceedings of the American Control Conference, 2005

2002
Analysis and model-based control of servomechanisms with friction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002


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