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	Year	Authors	Title
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	2026	Rodriguez, Laura and Dusparic, Ivana and Cardozo, Nicolas	VAR Check: Quality Analysis of Reinforcement Learning Programs Using Voronoi Diagrams SN Computer Science, 7(2), pp147
	2025	Delacroix, Sylvie and Robinson, Diana and Bhatt, Umang and Domenicucci, Jacopo and Montgomery, Jessica and Varoquaux, Gael and Ek, Carl Henrik and Fortuin, Vincent and He, Yulan and Tom Diethe, Neill Campbell and others	Beyond Quantification: Navigating Uncertainty in Professional AI Systems RSS: Data Science and Artificial Intelligence
	2025	Wang, Wenlong and Dusparic, Ivana and Shi, Yucheng and Zhang, Ke and Cahill, Vinny	Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
	2025	Rosero, Juan C and Dusparic, Ivana	Explainable Multi-Objective Reinforcement Learning: challenges and considerations
	2025	Tomar, Shivani and Tirupathi, Seshu and Daly, Elizabeth and Dusparic, Ivana	AT4TS : Autotune for Time Series Foundation Models Transactions on Machine Learning Research (TMLR)
	2025	Moustafa, Emran Yasser and Dusparic, Ivana	Context-Aware Model-Based Reinforcement Learning for Autonomous Racing
	2025	Gajcin, Jasmina and Jeromela, Jovan and Dusparic, Ivana	Towards Personalised and User-Friendly Counterfactual Sequences for Failure Correction , pp228--233
	2025	McCarthy, James and Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana	Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning
	2025	de la Rosa, Raul and Dusparic, Ivana and Cardozo, Nicolas	Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions , pp148--153
	2024	Gajcin, Jasmina and Dusparic, Ivana	Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities ACM Computing Surveys
	2024	Gajcin, Jasmina and Dusparic, Ivana	ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies https://arxiv.org/abs/2402.06503
	2024	Cunha Neto, Helio N. and Hribar, Jernej and Dusparic, Ivana and Fernandes, Natalia C. and Mattos, Diogo M.F.	FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems Computer Networks, 244. DOI: http://dx.doi.org/10.1016/j.comnet.2024.110351
	2024	Miletić, Mladen and Dusparić, Ivana and Ivanjko, Edouard	Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control CEUR Workshop Proceedings, 3813, pp16 – 30
	2024	Shi, Yucheng and Wang, Wenlong and Tao, Xiaowen and Dusparic, Ivana and Cahill, Vinny	Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles IEEE International Conference on Intelligent Robots and Systems, pp935 – 942. DOI: http://dx.doi.org/10.1109/IROS58592.2024.10801887
	2024	Gajcin, Jasmina and Dusparic, Ivana	RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2024-May, pp632 – 640
	2024	Hribar, Jernej and Shinkuma, Ryoichi and Akiyama, Kuon and Iosifidis, George and Dusparic, Ivana	Balancing Energy Preservation and Performance in Energy-Harvesting Sensor Networks IEEE Sensors Journal, 24(22), pp38352 – 38364. DOI: http://dx.doi.org/10.1109/JSEN.2024.3469539
	2023	Hribar, Jernej and Hackett, Luke and Dusparic, Ivana	Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning . DOI: https://doi.org/10.5220/0011610300003393
	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
	2023	Cardozo, Nicol{\'a	Auto-cop: adaptation generation in context-oriented programming using reinforcement learning options Information and Software Technology (IST)
	2023	Neto, Helio N Cunha and Hribar, Jernej and Dusparic, Ivana and Mattos, Diogo MF and Fernandes, Natalia C	Securing Federated Learning: A Security Analysis on Applications, Attacks, Challenges, and Trends IEEE Access
	2023	Castagna, Alberto and Dusparic, Ivana	Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
	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
	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
	2023	Cardozo, Nicolas and Dusparic, Ivana and Cabrera, Christian	Prevalence of Code Smells in Reinforcement Learning Projects
	2023	Monteil, Jean-Baptiste and Iosifidis, George and Dusparic, Ivana	Reservation of Virtualized Resources with Optimistic Online Learning
	2023	Gajcin, Jasmina and McCarthy, James and Nair, Rahul, Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana	Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification
	2022	Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana	Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning
	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
	2022	Cardozo, Nicolas and Dusparic, Ivana	Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations Journal of Object Technology, 21(2), pp1--6
	2022	Tomar, Shivani and Tirupathi, Seshu and Salwala, Dhaval Vinodbhai and Dusparic, Ivana and Daly, Elizabeth	Prequential Model Selection for Time Series Forecasting based on Saliency Maps , pp3383--3392
	2022	Hribar, Jernej and DaSilva, Luiz A and Zhou, Sheng and Jiang, Zhiyuan and Dusparic, Ivana	Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using deep reinforcement learning Computer Communications, 192, pp223--233
	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
	2022	Galkin, Boris and Omoniwa, Babatunji and Dusparic, Ivana	Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points
	2022	Castagna, Alberto and Dusparic, Ivana	Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems
	2022	Majstorovi{\'c	Impact of the Connected Vehicles Penetration Rate on the Speed Transition Matrices Accuracy , 64, pp240--247
	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
	2022	Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana	Optimizing energy efficiency in uav-assisted networks using deep reinforcement learning IEEE Wireless Communications Letters, 11(8), pp1590--1594. DOI: https://doi.org/10.1109/lwc.2022.3167568
	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
	2022	Dusparic, Ivana	Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments , pp49--50
	2022	Gajcin, Jasmina and Dusparic, Ivana	ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning
	2022	Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana	Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, pp216 – 222. DOI: http://dx.doi.org/10.1109/CCNC49033.2022.9700536
	2022	Dusparic, Ivana and Wood, Timothy	Message from the Workshops and Tutorials Chairs ACSOS 2022 Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2022. DOI: http://dx.doi.org/10.1109/ACSOS55765.2022.00007
	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
	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
	2021	Galkin, Boris and Fonseca, Erika and Amer, Ramy and DaSilva, Luiz A and Dusparic, Ivana	REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association IEEE Transactions on Vehicular Technology
	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
	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
	2021	Fonseca E., Galkin B., Kelly M., Dasilva L.A., Dusparic I.	Mobility for cellular-connected UAVs: Challenges for the network provider 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021, pp136-141. DOI: http://dx.doi.org/10.1109/EuCNC/6GSummit51104.2021.9482435
	2021	Cardozo, Nicolas and Dusparic, Ivana	Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options arXiv preprint arXiv:2103.06757
	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

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