Ivana Dusparic

According to our database, Ivana Dusparic authored at least 90 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies.

Jasmina Gajcin, Ivana Dusparic

CoRR, 2024

Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems.

Mateo Sanabria, Ivana Dusparic, Nicolás Cardozo

CoRR, 2024

Guest editorial: Role of agents in traffic and transportation.

Marin Lujak, Ana L. C. Bazzan, Ivana Dusparic, Giuseppe Vizzari

Comput. Sci. Inf. Syst., 2024

2023

Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning options.

Nicolás Cardozo, Ivana Dusparic

Inf. Softw. Technol., December, 2023

Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks.

Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

Veh. Commun., October, 2023

RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning.

Jasmina Gajcin, Ivana Dusparic

CoRR, 2023

A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends.

Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes

IEEE Access, 2023

Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach.

Erika Fonseca, Boris Galkin, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic

IEEE Access, 2023

Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks.

Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

Reservation of Virtualized Resources with Optimistic Online Learning.

Jean-Baptiste Monteil, George Iosifidis, Ivana Dusparic

Proceedings of the IEEE International Conference on Communications, 2023

Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning.

Jernej Hribar, Luke Hackett, Ivana Dusparic

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification.

Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning.

Alberto Castagna, Ivana Dusparic

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Prevalence of Code Smells in Reinforcement Learning Projects.

Nicolás Cardozo, Ivana Dusparic, Christian Cabrera

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

Message from the Program Chairs ACSOS 2023.

Ivana Dusparic, Barry Porter

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement Learning.

Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

IEEE Wirel. Commun. Lett., 2022

REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association.

Boris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic

IEEE Trans. Veh. Technol., 2022

Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation.

Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab

ACM SIGSOFT Softw. Eng. Notes, 2022

Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations.

Nicolás Cardozo, Ivana Dusparic

J. Object Technol., 2022

Causal Counterfactuals for Improving the Robustness of Reinforcement Learning.

Tom He, Jasmina Gajcin, Ivana Dusparic

CoRR, 2022

Counterfactual Explanations for Reinforcement Learning.

Jasmina Gajcin, Ivana Dusparic

CoRR, 2022

Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks.

Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

CoRR, 2022

Boolean Decision Rules for Reinforcement Learning Policy Summarisation.

James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic

CoRR, 2022

Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning.

Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

CoRR, 2022

Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning.

Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhiyuan Jiang, Ivana Dusparic

Comput. Commun., 2022

Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network.

Jernej Hribar, Ivana Dusparic

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing.

Hélio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia Castro Fernandes

Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022

Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points.

Boris Galkin, Babatunji Omoniwa, Ivana Dusparic

Proceedings of the IEEE International Conference on Communications, 2022

Multi-agent Transfer Learning in Reinforcement Learning-based Ride-sharing Systems.

Alberto Castagna, Ivana Dusparic

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning.

Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

Prequential Model Selection for Time Series Forecasting based on Saliency Maps.

Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly

Proceedings of the IEEE International Conference on Big Data, 2022

ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning.

Jasmina Gajcin, Ivana Dusparic

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2022

Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments.

Ivana Dusparic

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022

2021

Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents.

Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic

CoRR, 2021

Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning.

Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

CoRR, 2021

A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT.

Babatunji Omoniwa, Maxime Guériau, Ivana Dusparic

CoRR, 2021

Agents in Traffic and Transportation (ATT 2020).

Marin Lujak, Ivana Dusparic, Franziska Klügl, Giuseppe Vizzari

AI Commun., 2021

Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility.

Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic

AI Commun., 2021

Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions.

Nicolás Cardozo, Ivana Dusparic

Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021

Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning.

Kresimir Kusic, Edouard Ivanjko, Filip Vrbanic, Martin Greguric, Ivana Dusparic

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network.

Boris Galkin, Erika Fonseca, Gavin Lee, Conor Duff, Marvin Kelly, Edward Emmanuel, Ivana Dusparic

Proceedings of the IEEE International Conference on Communications Workshops, 2021

Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning.

Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic

Proceedings of the IEEE Global Communications Conference, 2021

Mobility for Cellular-Connected UAVs: Challenges for the Network Provider.

Erika Fonseca, Boris Galkin, Marvin Kelly, Luiz A. DaSilva, Ivana Dusparic

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021

2020

Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion.

Maxime Guériau, Federico Cugurullo, Ransford A. Acheampong, Ivana Dusparic

IEEE Intell. Transp. Syst. Mag., 2020

Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning.

Erika Fonseca, Boris Galkin, Luiz A. DaSilva, Ivana Dusparic

CoRR, 2020

Extended Variable Speed Limit control using Multi-agent Reinforcement Learning.

Kresimir Kusic, Ivana Dusparic, Maxime Guériau, Martin Greguric, Edouard Ivanjko

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic.

Maxime Guériau, Ivana Dusparic

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary Study.

Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic, Nicolás Cardozo

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Learning run-time compositions of interacting adaptations.

Nicolás Cardozo, Ivana Dusparic

Proceedings of the SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June, 2020

Emerging Micro-Communities for Ride-Sharing Enabled Mobility-on-Demand Systems.

Baudouin Dafflon, Maxime Guériau, Yacine Ouzrout, Ivana Dusparic

Proceedings of the Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets.

Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic

Proceedings of the Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Optimising PID Control with Residual Policy Reinforcement Learning.

Andrew Hynes, Elena P. Sapozhnikova, Ivana Dusparic

Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020

Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming.

Nicolás Cardozo, Ivana Dusparic

Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems.

Fatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke

ACM Trans. Intell. Syst. Technol., 2019

Privacy Aware Incentivization for Participatory Sensing.

Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche

Sensors, 2019

An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT.

Babatunji Omoniwa, Maxime Guériau, Ivana Dusparic

Proceedings of the 2019 International Conference on Wireless and Mobile Computing, 2019

Constructivist Approach to State Space Adaptation in Reinforcement Learning.

Maxime Guériau, Nicolás Cardozo, Ivana Dusparic

Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019

Multi-agent Deep Reinforcement Learning for Zero Energy Communities.

Amit Prasad, Ivana Dusparic

Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?

Adam Taylor, Ivana Dusparic, Maxime Guériau, Siobhán Clarke

Proceedings of the International Joint Conference on Neural Networks, 2019

Variational Policy Chaining for Lifelong Reinforcement Learning.

Christopher Doyle, Maxime Guériau, Ivana Dusparic

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Adaptive Reward Allocation for Participatory Sensing.

Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche

Wirel. Commun. Mob. Comput., 2018

Participant Selection for Short-term Collaboration in Open Multi-agent systems.

Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, Siobhán Clarke

Simul. Model. Pract. Theory, 2018

Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures.

Stefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker

Sensors, 2018

SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning.

Maxime Guériau, Ivana Dusparic

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

An Identity Privacy Preserving Incentivization Scheme for Participatory Sensing.

Martin Connolly, Ivana Dusparic, Mélanie Bouroche

Proceedings of the Eleventh International Conference on Mobile Computing and Ubiquitous Network, 2018

Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control.

Jeancarlo Arguello Calvo, Ivana Dusparic

Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017

Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments.

Andrei Marinescu, Ivana Dusparic, Siobhán Clarke

ACM Trans. Auton. Adapt. Syst., 2017

Peace COrP: learning to solve conflicts between contexts.

Nicolás Cardozo, Ivana Dusparic, Jorge H. Castro

Proceedings of the 9th International Workshop on Context-Oriented Programming, 2017

2016

Multi-agent Collaboration for Conflict Management in Residential Demand Response.

Fatemeh Golpayegani, Ivana Dusparic, Adam Taylor, Siobhán Clarke

Comput. Commun., 2016

Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning.

Ivana Dusparic, Julien Monteil, Vinny Cahill

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Evaluation of Forecasting Methods for Very Small-Scale Networks.

Jean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke

Proceedings of the Data Analytics for Renewable Energy Integration, 2015

Maximizing renewable energy use with decentralized residential demand response.

Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill, Siobhán Clarke

Proceedings of the IEEE First International Smart Cities Conference, 2015

Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management.

Fatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke

Proceedings of the 2015 Sustainable Internet and ICT for Sustainability, 2015

P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments.

Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments.

Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke

CoRR, 2014

A hybrid approach to very small scale electrical demand forecasting.

Andrei Marinescu, Colin Harris, Ivana Dusparic, Vinny Cahill, Siobhán Clarke

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Set point control for charging of electric vehicles on the distribution network.

Colin Harris, Ivana Dusparic, Edgar Galván López, Andrei Marinescu, Vinny Cahill, Siobhán Clarke

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Accelerating Learning in multi-objective systems through Transfer Learning.

Adam Taylor, Ivana Dusparic, Edgar Galván López, Siobhán Clarke, Vinny Cahill

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A dynamic forecasting method for small scale residential electrical demand.

Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods.

Andrei Marinescu, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill

Proceedings of the 2nd International Workshop on Software Engineering Challenges for the Smart Grid, 2013

2012

Autonomic multi-policy optimization in pervasive systems: Overview and evaluation.

Ivana Dusparic, Vinny Cahill

ACM Trans. Auton. Adapt. Syst., 2012

Reducing electricity costs in a dynamic pricing environment.

Edgar Galván, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill

Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

2009

Multi-policy Optimization in Self-organizing Systems.

Ivana Dusparic, Vinny Cahill

Proceedings of the Self-Organizing Architectures, First International Workshop, 2009

Distributed W-Learning: Multi-Policy Optimization in Self-Organizing Systems.

Ivana Dusparic, Vinny Cahill

Proceedings of the Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009

Using distributed w-learning for multi-policy optimization in decentralized autonomic systems.

Ivana Dusparic, Vinny Cahill

Proceedings of the 6th International Conference on Autonomic Computing, 2009

Using Reinforcement Learning for Multi-policy Optimization in Decentralized Autonomic Systems - An Experimental Evaluation.

Ivana Dusparic, Vinny Cahill

Proceedings of the Autonomic and Trusted Computing, 6th International Conference, 2009

Multi-policy optimization in decentralized autonomic systems.

Ivana Dusparic, Vinny Cahill

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2007

Research Issues in Multiple Policy Optimization Using Collaborative Reinforcement Learning.

Ivana Dusparic, Vinny Cahill

Proceedings of the 2007 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 2007

2005

Flexible Application Rights Management in a Pervasive Environment.

Ivana Dusparic, Dominik Dahlem, Jim Dowling

Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

2004

A Pervasive Application Rights Management Architecture (PARMA) based on ODRL.

Dominik Dahlem, Ivana Dusparic, Jim Dowling

Proceedings of the First International Workshop on the Open Digital Rights Language (ODRL), 2004