Analysis and model-based control of servomechanisms with friction. - Evangelos G. Papadopoulos; Georgios C. Chasparis (IROS, 2002)

Linear-programming-based multi-vehicle path planning with adversaries. - Georgios C. Chasparis; Jeff S. Shamma (ACC, 2005)

Efficient network formation by distributed reinforcement. - Georgios C. Chasparis; Jeff S. Shamma (CDC, 2008)

Control of preferences in social networks. - Georgios C. Chasparis; Jeff S. Shamma (CDC, 2010)

Perturbed learning automata in potential games. - Georgios C. Chasparis; Jeff S. Shamma; Anders Rantzer (CDC/ECC, 2011)

Fair scheduling in common-pool games by aspiration learning. - Georgios C. Chasparis; Ari Arapostathis; Jeff S. Shamma (WiOpt, 2012)

Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation. - Georgios C. Chasparis; Jeff S. Shamma (Dyn. Games Appl., 2012)

Distributed management of CPU resources for time-sensitive applications. - Georgios C. Chasparis; Martina Maggio; Karl-Erik Årzén; Enrico Bini (ACC, 2013)

A Game-Theoretic Resource Manager for RT Applications. - Martina Maggio; Enrico Bini; Georgios C. Chasparis; Karl-Erik Årzén (ECRTS, 2013)

A decomposition approach to multi-region optimal power flow in electricity networks. - Georgios C. Chasparis; Anders Rantzer; Kurt Jørnsten (ECC, 2013)

Aspiration Learning in Coordination Games. - Georgios C. Chasparis; Ari Arapostathis; Jeff S. Shamma (SIAM J. Control. Optim., 2013)

Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning. - Georgios C. Chasparis; Jeff S. Shamma (IEEE Trans. Cybern., 2013)

Supervisory system identification for bilinear systems with application to thermal dynamics in buildings. - Georgios C. Chasparis; Thomas Natschläger (ISIC, 2014)

Realistic User Behavior Modeling for Energy Saving in Residential Buildings. - Jorge Martinez-Gil; Georgios C. Chasparis; Bernhard Freudenthaler; Thomas Natschläger (DEXA Workshops, 2014)

Nonlinear system identification of thermal dynamics in buildings. - Georgios C. Chasparis; Thomas Natschläger (ECC, 2014)

Coevolutionary modeling in network formation. - Ibrahim Al-Shyoukh; Georgios C. Chasparis; Jeff S. Shamma (GlobalSIP, 2014)

Framework for Fast Prototyping of Energy-Saving Controllers. - Jorge Martinez-Gil; Georgios C. Chasparis; Andreas Bögl; Christa Illibauer; Bernhard Freudenthaler; Thomas Natschläger (DEXA Workshops, 2015)

Reinforcement-learning-based efficient resource allocation with demand-side adjustments. - Georgios C. Chasparis (ECC, 2015)

Nonconvergence to saddle boundary points under perturbed reinforcement learning. - Georgios C. Chasparis; Jeff S. Shamma; Anders Rantzer (Int. J. Game Theory, 2015)

Online transfer learning for climate control in residential buildings. - Thomas Grubinger; Georgios C. Chasparis; Thomas Natschläger (ECC, 2016)

On the optimization of material usage in power transformer manufacturing. - Georgios C. Chasparis; Werner Zellinger; Verena Haunschmid; Markus Riedenbauer; Reinhard Stumptner (IEEE Conf. on Intelligent Systems, 2016)

Design and implementation of distributed resource management for time-sensitive applications. - Georgios C. Chasparis; Martina Maggio; Enrico Bini; Karl-Erik Årzén (Autom., 2016)

Regression Models for Output Prediction of Thermal Dynamics in Buildings. - Georgios C. Chasparis; Thomas Natschläger (CoRR, 2016)

Supervisory Output Prediction for Bilinear Systems by Reinforcement Learning. - Georgios C. Chasparis; Thomas Natschläger (CoRR, 2016)

Generalized Online Transfer Learning for Climate Control in Residential Buildings. - Thomas Grubinger; Georgios C. Chasparis; Thomas Natschläger (CoRR, 2016)

Stochastic stability analysis of perturbed learning automata with constant step-size in strategic-form games. - Georgios C. Chasparis (ACC, 2017)

Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications. - Georgios C. Chasparis; Michael Rossbory; Vladimir Janjic (Euro-Par, 2017)

An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems. - Georgios C. Chasparis; Michael Rossbory; Verena Haunschmid (CoRR, 2017)

Stochastic Stability of Reinforcement Learning in Positive-Utility Games. - Georgios C. Chasparis (CoRR, 2017)

Decentralized Energy Networks Based on Blockchain: Background, Overview and Concept Discussion. - Mario Pichler; Marcus Meisel; Andrija Goranovic; Kurt Leonhartsberger; Georg Lettner; Georgios C. Chasparis; Heribert Vallant; Stefan Marksteiner; Hemma Bieser (BIS (Workshops), 2018)

Aspiration-based Perturbed Learning Automata. - Georgios C. Chasparis (ECC, 2018)

A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control. - Georgios C. Chasparis; Mario Pichler; Thomas Natschläger (ECC, 2019)

Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems. - Georgios C. Chasparis; Michael Rossbory; Vladimir Janjic; Kevin Hammond (PDP, 2019)

Measurement-based efficient resource allocation with demand-side adjustments. - Georgios C. Chasparis (Autom., 2019)

A cooperative demand-response framework for day-ahead optimization in battery pools. - Georgios C. Chasparis; Mario Pichler; Johanna Spreitzhofer; Tara Esterl (Energy Inform., 2019)

Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. - Georgios C. Chasparis; Michael Rossbory (Int. J. Parallel Program., 2019)

Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games. - Georgios C. Chasparis (IEEE Trans. Autom. Control., 2019)

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

Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review. - Sabrina Luftensteiner; Michael Mayr; Georgios C. Chasparis (DaWaK, 2021)

Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes. - Georgios C. Chasparis; Sabrina Luftensteiner; Michael Mayr (ISM, 2021)

Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes. - Michael Mayr; Sabrina Luftensteiner; Georgios C. Chasparis (ISM, 2021)

Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (DaWaK, 2022)

Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing. - Manuela Geiß; Martin Baresch; Georgios C. Chasparis; Edwin Schweiger; Nico Teringl; Michael Zwick (DEXA Workshops, 2022)

Gathering Expert Knowledge in Process Industry. - Sabrina Luftensteiner; Georgios C. Chasparis; Michael Mayr (ISM, 2022)

Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (CoRR, 2022)

PAS - A Feature Selection Process Definition for Industrial Settings. - Sabrina Luftensteiner; Georgios C. Chasparis; Josef Küng (ISM, 2023)

Automated Cross Channel Temperature Predictions for the PFR Lime Kiln Operating Support. - Aleksey V. Kychkin; Georgios C. Chasparis; Stefano Ellero (MED, 2023)

Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (CoRR, 2023)

Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (CoRR, 2023)

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. - Ammar N. Abbas; Shakra Mehak; Georgios C. Chasparis; John D. Kelleher; Michael Guilfoyle; Maria Chiara Leva; Aswin K. Ramasubramanian (CoDIT, 2024)

Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. - Michael Mayr; Georgios C. Chasparis; Josef Küng (DaWaK, 2024)

Automated Knowledge Graph Learning in Industrial Processes. - Lolitta Ammann; Jorge Martinez-Gil; Michael Mayr; Georgios C. Chasparis (ISM, 2024)

Causal Time-Series Synchronization for Multi-Dimensional Forecasting. - Michael Mayr; Georgios C. Chasparis; Josef Küng (ISM, 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. - Ammar N. Abbas; Chidera W. Amazu; Joseph Mietkiewicz; Houda Briwa; Andres Alonzo Perez; Gabriele Baldissone; Micaela Demichela; Georgios C. Chasparis; John D. Kelleher; Maria Chiara Leva (CoRR, 2024)

AI-Powered Predictions for Electricity Load in Prosumer Communities. - Aleksey Kychkin; Georgios C. Chasparis (CoRR, 2024)

Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (Data Knowl. Eng., 2024)

Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities. - Aleksei Kychkin; Georgios C. Chasparis (CoRR, 2025)

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. - Ammar N. Abbas; Chidera W. Amazu; Joseph Mietkiewicz; Houda Briwa; Andres Alonso-Perez; Gabriele Baldissone; Micaela Demichela; Georgios C. Chasparis; John D. Kelleher; Maria Chiara Leva (Int. J. Hum. Comput. Interact., 2025)