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Publications

	Year	Authors	Title
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	2022	Hribar, Jernej and Dusparic, Ivana	Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network IEEE Access. DOI: https://doi.org/10.1109/WCNC51071.2022.9771901
	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	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
	2023	Fonseca, Erika and Galkin, Boris and Amer, Ramy and DaSilva, Luiz A and Dusparic, Ivana	Adaptive Height Optimisation for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach IEEE Access, 11, pp5966-5980. DOI: https://doi.org/10.1109/ACCESS.2022.3232077
	2008	Ivana Dusparic and Vinny Cahill.	Autonomic management of large-scale critical infrastructures. Workshop on Hot Topics in Autonomic Computing, pp1-2
	2021	Acheampong, R. A., Cugurullo, F., Gueriau, M., & Dusparic, I.	Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options Cities, 112. DOI: https://doi.org/10.1016/j.cities.2021.103134
	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
	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).
	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	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
	2023	Neto, Helio N Cunha and Hribar, Jernej and Dusparic, Ivana and Mattos, Diogo Menezes Ferrazani and Fernandes, Natalia C	A survey on securing federated learning: Analysis of applications, attacks, challenges, and trends IEEE Access, 11, pp41928--41953
	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
	2024	Gajcin, Jasmina and Dusparic, Ivana	ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies https://arxiv.org/abs/2402.06503
	2021	Cardozo, Nicolas and Dusparic, Ivana	Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions , pp252--253. DOI: http://dx.doi.org/10.1109/SEAMS51251.2021.00041
	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	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
	2019	Omoniwa, Babatunji and Gueriau, Maxime and Dusparic, Ivana	An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT
	2021	Hribar, Jernej and Shinkuma, Ryoichi and Iosifidis, George and Dusparic, Ivana	Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning . DOI: http://dx.doi.org/10.1109/GLOBECOM46510.2021.9685166
	2021	Cardozo, Nicolas and Dusparic, Ivana	Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options arXiv preprint arXiv:2103.06757
	2023	Cardozo, Nicol{\'a	Auto-cop: adaptation generation in context-oriented programming using reinforcement learning options Information and Software Technology (IST)
	2023	Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana	Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks Vehicular Communications
	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)
	2022	Gajcin, Jasmina and Nair, Rahul and Pedapati, Tejaswini and Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana	Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents
	2023	Hribar, Jernej and Hackett, Luke and Dusparic, Ivana	Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning
	2021	Castagna, Albertoa and Gueriau, Maxime and Vizzari, Giuseppe and Dusparic, Ivana	Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility AI Communications, 34(1), pp73--88
	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)
	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
	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)
	2021	Kusic K., Ivanjko E., Vrbanic F., Greguric M., Dusparic I.	Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2021-September, pp3238-3245. DOI: http://dx.doi.org/10.1109/ITSC48978.2021.9564739
	2020	Dafflon, Baudouin and Gueriau, Maxime and Ouzrout, Yacine and Dusparic, Ivana	Emergent micro-communities for ride-sharing enabled Mobility-on-Demand systems
	2022	Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana	Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning
	2021	Galkin, Boris and Fonseca, Erika and Lee, Gavin and Duff, Conor and Kelly, Marvin and Emmanuel, Edward and Dusparic, Ivana	Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6 GHz Spectrum Network . DOI: http://dx.doi.org/10.1109/ICCWorkshops50388.2021.9473826
	2023	Castagna, Alberto and Dusparic, Ivana	Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
	2020	Kusic, Kresimir and Dusparic, Ivana and Gueriau, Maxime and Greguric, Martin and Ivanjko, Edouard	Extended Variable Speed Limit control using Multi-agent Reinforcement Learning
	2022	Neto, Helio N Cunha and Dusparic, Ivana and Mattos, Diogo MF and Fernandes, Natalia C	FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing
	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
	2022	Weyns, Danny and Gerostathopoulos, Ilias and Buhnova, Barbora and Cardozo, Nicol{\'a	Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation ACM SIGSOFT Software Engineering Notes, 47(4), pp18--24

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