Georgios C. Chasparis

发表

Control of preferences in social networks

Jeff S. Shamma, Georgios C. Chasparis, J. Shamma, 2010, 49th IEEE Conference on Decision and Control (CDC).

A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control

Mario Pichler, Thomas Natschläger, Georgios C. Chasparis, 2019, 2019 18th European Control Conference (ECC).

Design and Implementation of Distributed Resource Management for Time Sensitive Applications pdf

Karl-Erik Årzén, Enrico Bini, Martina Maggio, 2015, Autom..

Distributed management of CPU resources for time-sensitive applications

Karl-Erik Årzén, Enrico Bini, Martina Maggio, 2013, 2013 American Control Conference.

Corrections to "Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games"

Georgios C. Chasparis, 2020, IEEE Trans. Autom. Control..

A decomposition approach to multi-region optimal power flow in electricity networks

Kurt Jörnsten, Anders Rantzer, Georgios C. Chasparis, 2013, 2013 European Control Conference (ECC).

Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications

Vladimir Janjic, Georgios C. Chasparis, Michael Rossbory, 2017, Euro-Par.

Nonlinear system identification of thermal dynamics in buildings

Thomas Natschläger, Georgios C. Chasparis, T. Natschläger, 2014, 2014 European Control Conference (ECC).

Nonconvergence to saddle boundary points under perturbed reinforcement learning

Jeff S. Shamma, Anders Rantzer, Georgios C. Chasparis, 2015, Int. J. Game Theory.

Reinforcement-learning-based efficient resource allocation with demand-side adjustments

Georgios C. Chasparis, 2015, 2015 European Control Conference (ECC).

Analysis and Model-Based Control of Servomechanisms With Friction

Georgios C. Chasparis, Evangelos Papadopoulos, 2004 .

Stochastic Stability of Reinforcement Learning in Positive-Utility Games pdf

Georgios C. Chasparis, 2017, ArXiv.

Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning

Jeff S. Shamma, Georgios C. Chasparis, J. Shamma, 2013, IEEE Transactions on Cybernetics.

Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems

Vladimir Janjic, Kevin Hammond, Georgios C. Chasparis, 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Decentralized Energy Networks Based on Blockchain: Background, Overview and Concept Discussion

Mario Pichler, Stefan Marksteiner, Georg Lettner, 2018, BIS.

An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems pdf

Georgios C. Chasparis, Verena Haunschmid, Michael Rossbory, 2017, ArXiv.

Supervisory Output Prediction for Bilinear Systems by Reinforcement Learning pdf

Thomas Natschläger, Georgios C. Chasparis, T. Natschläger, 2016, ArXiv.

Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation

Jeff S. Shamma, Georgios C. Chasparis, J. Shamma, 2011, Dynamic Games and Applications.

Analysis and model-based control of servomechanisms with friction

Evangelos Papadopoulos, Georgios C. Chasparis, E. Papadopoulos, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Framework for Fast Prototyping of Energy-Saving Controllers

Christa Illibauer, Jorge Martínez Gil, Andreas Bögl, 2015, 2015 26th International Workshop on Database and Expert Systems Applications (DEXA).

Fair scheduling in common-pool games by aspiration learning

Jeff S. Shamma, Ari Arapostathis, Georgios C. Chasparis, 2012, 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

A Game-Theoretic Resource Manager for RT Applications

Karl-Erik Årzén, Enrico Bini, Martina Maggio, 2013, 2013 25th Euromicro Conference on Real-Time Systems.

Measurement-based Efficient Resource Allocation with Demand-Side Adjustments pdf

Georgios C. Chasparis, 2019, Autom..

Aspiration-based Perturbed Learning Automata

Georgios C. Chasparis, 2018, 2018 European Control Conference (ECC).

Online transfer learning for climate control in residential buildings

Thomas Natschläger, Georgios C. Chasparis, Thomas Grubinger, 2016, 2016 European Control Conference (ECC).

Supervisory system identification for bilinear systems with application to thermal dynamics in buildings

Thomas Natschläger, Georgios C. Chasparis, T. Natschläger, 2014, 2014 IEEE International Symposium on Intelligent Control (ISIC).

On the optimization of material usage in power transformer manufacturing

Georgios C. Chasparis, Verena Haunschmid, Reinhard Stumptner, 2016, 2016 IEEE 8th International Conference on Intelligent Systems (IS).

Generalized Online Transfer Learning for Climate Control in Residential Buildings pdf

Thomas Natschläger, Georgios C. Chasparis, Thomas Grubinger, 2016, ArXiv.

Coevolutionary modeling in network formation

Jeff S. Shamma, Georgios C. Chasparis, Ibrahim Al-Shyoukh, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Efficient network formation by distributed reinforcement

Jeff S. Shamma, Georgios C. Chasparis, J. Shamma, 2008, 2008 47th IEEE Conference on Decision and Control.

Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning

Georgios C. Chasparis, Michael Rossbory, 2017, International Journal of Parallel Programming.

Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games

Georgios C. Chasparis, 2017, IEEE Transactions on Automatic Control.

Perturbed learning automata in potential games

Jeff S. Shamma, Anders Rantzer, Georgios C. Chasparis, 2011, IEEE Conference on Decision and Control and European Control Conference.

Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation

Jeff S. Shamma, Georgios C. Chasparis, J. Shamma, 2007, Dynamic Games and Applications.

Aspiration learning in coordination games

Jeff S. Shamma, Ari Arapostathis, Georgios C. Chasparis, 2010, 49th IEEE Conference on Decision and Control (CDC).

Stochastic stability analysis of perturbed learning automata with constant step-size in strategic-form games

Georgios C. Chasparis, 2017, 2017 American Control Conference (ACC).

Regression Models for Output Prediction of Thermal Dynamics in Buildings pdf

Thomas Natschläger, Georgios C. Chasparis, T. Natschläger, 2016, ArXiv.

Realistic User Behavior Modeling for Energy Saving in Residential Buildings

Jorge Martínez Gil, Bernhard Freudenthaler, Thomas Natschläger, 2014, 2014 25th International Workshop on Database and Expert Systems Applications.

Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review

Georgios C. Chasparis, Sabrina Luftensteiner, Michael Mayr, 2021, DaWaK.

Feature and model selection for day-ahead electricity-load forecasting in residential buildings

Georgios C. Chasparis, Aleksey V. Kychkin, A. Kychkin, 2021 .

LP‐Based Multi‐Vehicle Path Planning with Adversaries

Jeff S. Shamma, Georgios C. Chasparis, J. Shamma, 2007 .

Aspiration Learning in Coordination Games

Georgios C. Chasparis, A. Arapostathis, J. Shamma, 2011 .

A cooperative demand-response framework for day-ahead optimization in battery pools

Georgios C. Chasparis, Mario Pichler, T. Esterl, 2019, Energy Inform..

Nonconvergence to saddle boundary points under perturbed reinforcement learning

Georgios C. Chasparis, A. Rantzer, J. Shamma, 2014, International Journal of Game Theory.

Gathering Expert Knowledge in Process Industry

Georgios C. Chasparis, Michael Mayr, Sabrina Luftensteiner, 2023, Procedia Computer Science.

Linear-programming-based multi-vehicle path planning with adversaries

Georgios C. Chasparis, J.S. Shamma, G.C. Chasparis, 2005, Proceedings of the 2005, American Control Conference, 2005..

Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes

Georgios C. Chasparis, Michael Mayr, Sabrina Luftensteiner, 2021, ISM.

Scanning the Issue A Systems-Theoretic Interpretation Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games Global Phase and Magnitude Synchronization of Coupled Oscillators With Application to the Control of Grid-Forming Power Inverters

Georgios C. Chasparis, F. Lewis, Alberto Padoan, 2019 .

Feature Extraction for Day-ahead Electricity-Load Forecasting in Residential Buildings

Georgios C. Chasparis, A. Kychkin, 2020 .

Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines

Georgios C. Chasparis, Ammar N. Abbas, John D. Kelleher, 2022, DaWaK.

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

Georgios C. Chasparis, Ammar N. Abbas, John D. Kelleher, 2022, ArXiv.

Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes

Georgios C. Chasparis, Michael Mayr, Sabrina Luftensteiner, 2021, ISM.

Reinforcement-Learning-based Optimization for Day-ahead Flexibility Extraction in Battery Pools

Georgios C. Chasparis, Christian Lettner, 2020 .

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

Georgios C. Chasparis, Ammar N. Abbas, John D. Kelleher, 2023, ArXiv.

Hierarchical framework for interpretable deep reinforcement learning-based predictive maintenance

Georgios C. Chasparis, Ammar N. Abbas, J. D. Kelleher, 2023, Data & Knowledge Engineering.