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ORCIDGeorgios C. Chasparis
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- affiliation: Software Competence Center Hagenberg, Austria
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2020 – today
- 2024
[j11]Ammar N. Abbas
, Georgios C. Chasparis, John D. Kelleher:
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. Data Knowl. Eng. 149: 102240 (2024)- [c33]Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian:
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. CoDIT 2024: 2917-2923 - [c32]Michael Mayr, Georgios C. Chasparis, Josef Küng:
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. DaWaK 2024: 34-47 - [i21]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:
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 abs/2402.13219 (2024) - [i20]Aleksey Kychkin, Georgios C. Chasparis:
AI-Powered Predictions for Electricity Load in Prosumer Communities. CoRR abs/2402.13752 (2024) - [i19]Lolitta Ammann, Jorge Martínez Gil, Michael Mayr, Georgios C. Chasparis:
Automated Knowledge Graph Learning in Industrial Processes. CoRR abs/2407.02106 (2024) - [i18]Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian:
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. CoRR abs/2407.02231 (2024) - [i17]Michael Mayr, Georgios C. Chasparis, Josef Küng:
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. CoRR abs/2407.02275 (2024) - 2023
- [c31]Sabrina Luftensteiner, Georgios C. Chasparis, Michael Mayr:
Gathering Expert Knowledge in Process Industry. ISM 2023: 960-968 - [c30]Aleksey V. Kychkin, Georgios C. Chasparis, Stefano Ellero:
Automated Cross Channel Temperature Predictions for the PFR Lime Kiln Operating Support. MED 2023: 960-966 - [i16]Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher:
Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces. CoRR abs/2310.14788 (2023) - [i15]Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher:
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning. CoRR abs/2310.18811 (2023) - 2022
- [c29]Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher:
Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. DaWaK 2022: 133-148 - [c28]Manuela Geiß, Martin Baresch, Georgios C. Chasparis, Edwin Schweiger, Nico Teringl, Michael Zwick:
Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing. DEXA Workshops 2022: 232-242 - [i14]Manuela Geiß, Martin Baresch, Georgios C. Chasparis, Edwin Schweiger, Nico Teringl, Michael Zwick:
Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing. CoRR abs/2204.00597 (2022) - [i13]Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher:
Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines. CoRR abs/2206.13433 (2022) - 2021
- [c27]Sabrina Luftensteiner, Michael Mayr, Georgios C. Chasparis:
Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review. DaWaK 2021: 242-249 - [c26]Georgios C. Chasparis, Sabrina Luftensteiner, Michael Mayr:
Generalized Input-Output Hidden-Markov-Models for Supervising Industrial Processes. ISM 2021: 1402-1411 - [c25]Michael Mayr, Sabrina Luftensteiner, Georgios C. Chasparis:
Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manufacturing Processes. ISM 2021: 1442-1450 - 2020
- [j10]Georgios C. Chasparis:
Corrections to "Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games". IEEE Trans. Autom. Control. 65(4): 1822 (2020)
2010 – 2019
- 2019
- [j9]Georgios C. Chasparis:
Measurement-based efficient resource allocation with demand-side adjustments. Autom. 106: 274-283 (2019) - [j8]Georgios C. Chasparis, Mario Pichler, Johanna Spreitzhofer, Tara Esterl:
A cooperative demand-response framework for day-ahead optimization in battery pools. Energy Inform. 2(S1) (2019) - [j7]Georgios C. Chasparis, Michael Rossbory:
Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. Int. J. Parallel Program. 47(1): 24-38 (2019) - [j6]Georgios C. Chasparis:
Stochastic Stability of Perturbed Learning Automata in Positive-Utility Games. IEEE Trans. Autom. Control. 64(11): 4454-4469 (2019) - [c24]Georgios C. Chasparis, Mario Pichler, Thomas Natschläger:
A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control. ECC 2019: 1392-1397 - [c23]Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic, Kevin Hammond:
Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems. PDP 2019: 1-8 - 2018
- [c22]Mario Pichler, Marcus Meisel, Andrija Goranovic, Kurt Leonhartsberger, Georg Lettner, Georgios C. Chasparis, Heribert Vallant, Stefan Marksteiner, Hemma Bieser:
Decentralized Energy Networks Based on Blockchain: Background, Overview and Concept Discussion. BIS (Workshops) 2018: 244-257 - [c21]Georgios C. Chasparis:
Aspiration-based Perturbed Learning Automata. ECC 2018: 20-25 - [i12]Georgios C. Chasparis, Vladimir Janjic, Michael Rossbory, Kevin Hammond:
Learning-based Dynamic Pinning of Parallelized Applications in Many-Core Systems. CoRR abs/1803.00355 (2018) - [i11]Georgios C. Chasparis:
Aspiration-based Perturbed Learning Automata. CoRR abs/1803.02751 (2018) - 2017
- [c20]Georgios C. Chasparis:
Stochastic stability analysis of perturbed learning automata with constant step-size in strategic-form games. ACC 2017: 4607-4612 - [c19]Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic:
Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications. Euro-Par 2017: 164-176 - [i10]Georgios C. Chasparis:
Stochastic Stability Analysis of Perturbed Learning Automata with Constant Step-Size in Strategic-Form Games. CoRR abs/1702.08334 (2017) - [i9]Georgios C. Chasparis, Michael Rossbory, Verena Haunschmid:
An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems. CoRR abs/1707.08776 (2017) - [i8]Georgios C. Chasparis:
Stochastic Stability of Reinforcement Learning in Positive-Utility Games. CoRR abs/1709.05859 (2017) - [i7]Georgios C. Chasparis:
Measurement-based Efficient Resource Allocation with Demand-Side Adjustments. CoRR abs/1712.06299 (2017) - 2016
- [j5]Georgios C. Chasparis, Martina Maggio, Enrico Bini, Karl-Erik Årzén:
Design and implementation of distributed resource management for time-sensitive applications. Autom. 64: 44-53 (2016) - [c18]Thomas Grubinger, Georgios C. Chasparis, Thomas Natschläger:
Online transfer learning for climate control in residential buildings. ECC 2016: 1183-1188 - [c17]Georgios C. Chasparis, Werner Zellinger, Verena Haunschmid, Markus Riedenbauer, Reinhard Stumptner:
On the optimization of material usage in power transformer manufacturing. IEEE Conf. on Intelligent Systems 2016: 680-685 - [i6]Georgios C. Chasparis, Michael Rossbory:
Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning. CoRR abs/1606.08156 (2016) - [i5]Georgios C. Chasparis, Thomas Natschläger:
Regression Models for Output Prediction of Thermal Dynamics in Buildings. CoRR abs/1608.03090 (2016) - [i4]Thomas Grubinger, Georgios C. Chasparis, Thomas Natschläger:
Generalized Online Transfer Learning for Climate Control in Residential Buildings. CoRR abs/1610.04042 (2016) - [i3]Georgios C. Chasparis, Thomas Natschläger:
Supervisory Output Prediction for Bilinear Systems by Reinforcement Learning. CoRR abs/1611.02052 (2016) - 2015
- [j4]Georgios C. Chasparis, Jeff S. Shamma, Anders Rantzer:
Nonconvergence to saddle boundary points under perturbed reinforcement learning. Int. J. Game Theory 44(3): 667-699 (2015) - [c16]Jorge Martínez Gil, Georgios C. Chasparis, Andreas Bögl, Christa Illibauer, Bernhard Freudenthaler, Thomas Natschläger:
Framework for Fast Prototyping of Energy-Saving Controllers. DEXA Workshops 2015: 68-72 - [c15]Georgios C. Chasparis:
Reinforcement-learning-based efficient resource allocation with demand-side adjustments. ECC 2015: 3066-3072 - [i2]Georgios C. Chasparis, Martina Maggio, Enrico Bini, Karl-Erik Årzén:
Design and Implementation of Distributed Resource Management for Time Sensitive Applications. CoRR abs/1508.04544 (2015) - 2014
- [c14]Georgios C. Chasparis, Thomas Natschläger:
Supervisory system identification for bilinear systems with application to thermal dynamics in buildings. ISIC 2014: 832-837 - [c13]Jorge Martínez Gil, Georgios C. Chasparis, Bernhard Freudenthaler, Thomas Natschläger:
Realistic User Behavior Modeling for Energy Saving in Residential Buildings. DEXA Workshops 2014: 121-125 - [c12]Georgios C. Chasparis, Thomas Natschläger:
Nonlinear system identification of thermal dynamics in buildings. ECC 2014: 1649-1654 - [c11]Ibrahim Al-Shyoukh, Georgios C. Chasparis, Jeff S. Shamma:
Coevolutionary modeling in network formation. GlobalSIP 2014: 722-726 - 2013
- [j3]Georgios C. Chasparis, Ari Arapostathis, Jeff S. Shamma:
Aspiration Learning in Coordination Games. SIAM J. Control. Optim. 51(1): 465-490 (2013) - [j2]Georgios C. Chasparis, Jeff S. Shamma:
Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning. IEEE Trans. Cybern. 43(6): 1950-1962 (2013) - [c10]Georgios C. Chasparis, Martina Maggio, Karl-Erik Årzén, Enrico Bini:
Distributed management of CPU resources for time-sensitive applications. ACC 2013: 5305-5312 - [c9]Martina Maggio, Enrico Bini, Georgios C. Chasparis, Karl-Erik Årzén:
A Game-Theoretic Resource Manager for RT Applications. ECRTS 2013: 57-66 - [c8]Georgios C. Chasparis, Anders Rantzer, Kurt Jørnsten:
A decomposition approach to multi-region optimal power flow in electricity networks. ECC 2013: 3018-3024 - 2012
- [j1]Georgios C. Chasparis, Jeff S. Shamma:
Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation. Dyn. Games Appl. 2(1): 18-50 (2012) - [c7]Georgios C. Chasparis, Ari Arapostathis, Jeff S. Shamma:
Fair scheduling in common-pool games by aspiration learning. WiOpt 2012: 386-390 - 2011
- [c6]Georgios C. Chasparis, Jeff S. Shamma, Anders Rantzer:
Perturbed learning automata in potential games. CDC/ECC 2011: 2453-2458 - [i1]Georgios C. Chasparis, Ari Arapostathis, Jeff S. Shamma:
Aspiration Learning in Coordination Games. CoRR abs/1110.4412 (2011) - 2010
- [c5]Georgios C. Chasparis, Jeff S. Shamma, Ari Arapostathis:
Aspiration learning in coordination games. CDC 2010: 5756-5761 - [c4]Georgios C. Chasparis, Jeff S. Shamma:
Control of preferences in social networks. CDC 2010: 6651-6656
2000 – 2009
- 2008
- [c3]Georgios C. Chasparis, Jeff S. Shamma:
Efficient network formation by distributed reinforcement. CDC 2008: 1690-1695 - 2005
- [c2]Georgios C. Chasparis, Jeff S. Shamma:
Linear-programming-based multi-vehicle path planning with adversaries. ACC 2005: 1072-1077 - 2002
- [c1]Evangelos G. Papadopoulos, Georgios C. Chasparis:
Analysis and model-based control of servomechanisms with friction. IROS 2002: 2109-2114
Coauthor Index
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last updated on 2024-11-14 00:55 CET by the dblp team
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