You are here Publications

Publications

	Year	Authors	Title
	2004	Dominik Dahlem and Ivana Dusparic, Jim Dowling,	A Pervasive Application Rights Management Architecture (PARMA) based on ODRL First International Open Digital Rights Language (ODRL) Workshop, pp46--63
	2005	Ivana Dusparic, Dominik Dahlem and Jim Dowling	Flexible Application Rights Management in a Pervasive Environment IEEE International Conference on E-Technology, E-Commerce and E-Service, pp680 - 685 . DOI: http://dx.doi.org/10.1109/EEE.2005.76
	2007	Dusparic, I. and Cahill, V.	Research issues in multiple policy optimization using collaborative reinforcement learning International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'07). DOI: http://dx.doi.org/10.1109/SEAMS.2007.17
	2008	Ivana Dusparic and Vinny Cahill.	Autonomic management of large-scale critical infrastructures. Workshop on Hot Topics in Autonomic Computing, pp1-2
	2009	Ivana Dusparic and Vinny Cahill.	Using reinforcement learning for multipolicy optimization in decentralized autonomic systems - an experimental evaluation. The Sixth International Conference on Autonomic and Trusted Computing (ATC-09), pp105-119.. DOI: http://dx.doi.org/10.1007/978-3-642-02704-8_9
	2009	Vinny Cahill and Ivana Dusparic	Distributed w-learning: Multi-policy optimization in self-organizing systems. 3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp20-29. DOI: http://dx.doi.org/10.1109/SASO.2009.23
	2009	Ivana Dusparic and Vinny Cahill.	Multi-policy optimization in decentralized autonomic systems (extended abstract). 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2, pp1203-1204
	2010	Ivana Dusparic and Vinny Cahill	Multi-policy optimization in self-organizing systems 1st International Workshop on Self-Organizing Architectures, SOAR 2009, 6090, pp101-126. DOI: http://dx.doi.org/10.1007/978-3-642-14412-7_6
	2012	Edgar Galvan-Lopez, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill	Reducing Electricity Costs in a Dynamic Pricing Environment 3rd IEEE International Conference on Smart Grid Communications, pp169-174 . DOI: http://dx.doi.org/10.1109/SmartGridComm.2012.6485978
	2012	Mélanie Bouroche, Vinny Cahill, Siobhan Clarke, Ivana Dusparic, Anurag Garg, Fabian Bustamante.	Research Challenges in Participatory Sensing for Urban Management Applications, 11th IT&T Conference, pp2-9
	2012	Dusparic, I., Cahill, V.	Autonomic multi-policy optimization in pervasive systems: Overview and evaluation ACM Transactions on Autonomous and Adaptive Systems, 7(1). DOI: http://dx.doi.org/10.1145/2168260.2168271
	2013	Marinescu, A., Harris, C., Dusparic, I., Clarke, S., Cahill, V.	Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods 2nd International Workshop on Software Engineering Challenges for the Smart Grid, SE4SG 2013, pp25-32. DOI: http://dx.doi.org/10.1109/SE4SG.2013.6596108
	2013	Dusparic, I., Harris, C., Marinescu, A., Cahill, V., Clarke, S.	Multi-agent residential demand response based on load forecasting IEEE Conference on Technologies for Sustainability – Engineering and the Environment (SusTech), pp90-96. DOI: http://dx.doi.org/10.1109/SusTech.2013.6617303
	2014	Harris, C. : Doolan, R. ; Dusparic, I. ; Marinescu, A. ; Cahill, V. ; Clarke, S.	A distributed agent based mechanism for shaping of aggregate demand on the smart grid ENERGYCON 2014 - IEEE, pp737 - 742 . DOI: http://dx.doi.org/10.1109/ENERGYCON.2014.6850508
	2014	Adam Taylor, Edgar Galván-López, Ivana Dusparic, Colin Harris, Andrei Marinescu, Siobhán Clarke and Vinny Cahill	Self-Organising Algorithms for Residential Demand Response IEEE Conference on Technologies for Sustainability - Engineering and the Environment (SusTech 2014), pp55-60. DOI: http://dx.doi.org/10.1109/sustech.2014.7046218
	2014	Harris, C., Dusparic, I., Galván-López, E., (...), Cahill, V., Clarke, S.	Set point control for charging of electric vehicles on the distribution network IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, pp6816415. DOI: http://dx.doi.org/10.1109/ISGT.2014.6816415
	2014	Marinescu, A., Harris, C., Dusparic, I., Cahill, V., Clarke, S.	A hybrid approach to very small scale electrical demand forecasting IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, pp6816426-. DOI: http://dx.doi.org/10.1109/ISGT.2014.6816426
	2014	Adam Taylor, Ivana Dusparic, Edgar Galván-López, Siobhán Clarke and Vinny Cahill.	Accelerating Learning in Multi-Objective Systems through Transfer Learning Special Session on Learning and Optimization in Multi-Criteria Dynamic and Uncertain Environments at the IEEE International Joint Conference on Neural Networks (IJCNN 2014).. DOI: http://dx.doi.org/10.1109/ijcnn.2014.6889438
	2014	Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke	A Dynamic Forecasting Method for Small Scale Residential Electrical Demand Proceeding of the International Joint Conference on Neural Networks. DOI: http://dx.doi.org/10.1109/IJCNN.2014.6889425
	2015	Golpayegani, F., Dusparic, I., Clarke, S.	Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management Sustainable Internet and ICT for Sustainability, SustainIT 2015, pp7101360-. DOI: http://dx.doi.org/ 10.1109/SustainIT.2015.7101360
	2015	Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill and Siobhán Clarke.	Maximizing Renewable Energy Use with Decentralized Residential Demand Response. International Smart Cities Conference (ISC2), pp7366212. DOI: http://dx.doi.org/10.1109/ISC2.2015.7366212
	2015	Marinescu A, Dusparic I, Taylor A, Canili V, Clarke S	P-MARL: Prediction-based Multi-Agent Reinforcement Learning for non-stationary environments (extended abstract) , 3, pp1897-1898
	2015	Cavallo J, Marinescu A, Dusparic I, Clarke S	Evaluation of forecasting methods for very small-scale networks Data Analytics for Renewable Energy Integration, pp56–75. DOI: http://dx.doi.org/10.1007/978-3-319-27430-0_5
	2016	Golpayegani F, Dusparic I, Taylor A, Clarke S	Multi-agent Collaboration for Conflict Management in Residential Demand Response Computer Communications, 96, pp63-72. DOI: http://dx.doi.org/10.1016/j.comcom.2016.04.020
	2016	I. Dusparic, J. Monteil and V. Cahill	Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). DOI: http://dx.doi.org/10.1109/ITSC.2016.7795890
	2017	Andrei Marinescu, Ivana Dusparic, Siobhán Clarke.	Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments ACM Transactions on Autonomous and Adaptive Systems, 12(2). DOI: http://dx.doi.org/10.1145/3070861
	2017	Dusparic, I., Taylor, A., Marinescu, A., Golpayegani, F., Clarke, S.	Residential demand response: Experimental evaluation and comparison of self-organizing techniques Renewable and Sustainable Energy Reviews, 80, pp1528-1536 . DOI: http://doi.org/10.1016/j.rser.2017.07.033
	2017	Nicolás Cardozo, Ivana Dusparic, Jorge H. Castro	Peace COrP: Learning to solve conflicts between contexts 9th Workshop on Context-Oriented Programming (COP 2017) at ECOOP 2017. DOI: http://dx.doi.org/10.1145/3117802.3117803
	2018	Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, SIobhan Clarke	Participant Selection for Short-term Collaboration in Open Multi-agent systems Simulation Modelling Practice and Theory, 83, pp149-161. DOI: https://doi.org/10.1016/j.simpat.2017.11.007
	2018	Maxime Gueriau and Ivana Dusparic	SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018).
	2018	Martin Connolly, Ivana Dusparic and Mélanie Bouroche	An Identity Privacy Preserving Incentivization Scheme for Participatory Sensing International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2018, pp1-8
	2018	Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Melanie Bouroche	Adaptive Reward Allocation for Participatory Sensing Wireless Communications and Mobile Computing, 2018, pp6353425. DOI: https://doi.org/10.1155/2018/6353425
	2018	S Bennati, I Dusparic, R Shinde, CM Jonker	Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures Sensors
	2018	Jeancarlo Arguello Calvo, Ivana Dusparic	Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018)
	2018	Nicolas Cardozo, Ivana Dusparic	Generating Software Adaptations using Machine Learning ML4PL: 2nd International Workshop on Machine Learning Techniques for Programming Languages at ECOOP 2018
	2019	F Golpayegani, I Dusparic, S Clarke	Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems ACM Transactions on Intelligent Systems and Technology, 10(3), pp3319402. DOI: HTTP://DX.DOI.ORG/10.1145/3319402
	2019	A Taylor, I Dusparic, M Gueriau, S Clarke	Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer? International Joint Conference on Neural Networks (IJCNN)
	2019	M Gueriau, N Cardozo, I Dusparic	Constructivist Approach to State Space Adaptation in Reinforcement Learning 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2019)
	2019	Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Melanie Bouroche	Privacy Aware Incentivization for Participatory Sensing Sensors, 19(18). DOI: https://doi.org/10.3390/s19184049
	2019	Cardozo, Nicolas and Dusparic, Ivana and Linares-Vasquez, Mario	Perspectives in Testing Deep RL
	2019	Prasad, Amit and Dusparic, Ivana	Multi-agent deep reinforcement learning for zero energy communities
	2019	Doyle, Christopher and Gueriau, Maxime and Dusparic, Ivana	Variational Policy Chaining for Lifelong Reinforcement Learning
	2019	Omoniwa, Babatunji and Gueriau, Maxime and Dusparic, Ivana	An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT
	2020	Gueriau, Maxime and Cugurullo, Federico and Acheampong, Ransford A. and Dusparic, Ivana	Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion IEEE Intelligent Transportation Systems Magazine
	2020	Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic and Nicolás Cardozo	Does Neuron Coverage Matter for Deep Reinforcement Learning? A Preliminary Study 2nd International Workshop on Deep Learning and Testing at ICSE (DeepTest)
	2020	Nicolas Cardozo, Ivana Dusparic	Learning Run-time Compositions of Interacting Adaptations 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
	2020	Federico Cugurullo, Ransford Acheampong, Maxime Gueriau, Ivana Dusparic	The transition to autonomous cars, the redesign of cities and the future of urban sustainability Urban Geography. DOI: https://doi.org/10.1080/02723638.2020.1746096
	2020	Melanie Bouroche, Ivana Dusparic	Urban Computing: The Technological Framework for Smart Cities Handbook of Smart Cities
	2020	Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic	Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets Agents in Traffic and Transportation (ATT 2020)
	2020	Dafflon, Baudouin and Gueriau, Maxime and Ouzrout, Yacine and Dusparic, Ivana	Emergent micro-communities for ride-sharing enabled Mobility-on-Demand systems

---

1 2	Page: 1 of 2  Records: 89

Page 1 2