Ivana Dusparic

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 96

Top Venues

Publications

Jasmina Gajcin, Ivana Dusparic
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities. ACM Comput. Surv. 56 (9) (2024)
Marin Lujak, Ana L. C. Bazzan, Ivana Dusparic, Giuseppe Vizzari
Guest editorial: Role of agents in traffic and transportation. Comput. Sci. Inf. Syst. 21 (1) (2024)
Jasmina Gajcin, Ivana Dusparic
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies. CoRR (2024)
Bowen Xie, Sheng Chen, Sheng Zhou, Zhisheng Niu, Boris Galkin, Ivana Dusparic
Learning-Assisted User Scheduling and Beamforming for mmWave Vehicular Networks. IEEE Trans. Veh. Technol. 73 (8) (2024)
Mateo Sanabria, Ivana Dusparic, Nicolás Cardozo
Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems. SEAMS@ICSE (2024)
Mateo Sanabria, Ivana Dusparic, Nicolás Cardozo
Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems. CoRR (2024)
Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Natalia Castro Fernandes, Diogo M. F. Mattos
FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems. Comput. Networks 244 (2024)
Jasmina Gajcin, Ivana Dusparic
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning. AAMAS (2024)
Ana L. C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari
Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers. AI Commun. 37 (2) (2024)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks. WiMob (2023)
Ivana Dusparic, Barry Porter
Message from the Program Chairs ACSOS 2023. ACSOS-C (2023)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks. CoRR (2023)
Jean-Baptiste Monteil, George Iosifidis, Ivana Dusparic
Reservation of Virtualized Resources with Optimistic Online Learning. ICC (2023)
Jean-Baptiste Monteil, George Iosifidis, Ivana Dusparic
Reservation of Virtualized Resources with Optimistic Online Learning. CoRR (2023)
Erika Fonseca, Boris Galkin, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach. IEEE Access 11 (2023)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks. Veh. Commun. 43 (2023)
Alberto Castagna, Ivana Dusparic
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. CoRR (2023)
Alberto Castagna, Ivana Dusparic
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. ECAI (2023)
Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. ECAI (2023)
Nicolás Cardozo, Ivana Dusparic
Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning options. Inf. Softw. Technol. 164 (2023)
Jasmina Gajcin, Ivana Dusparic
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning. CoRR (2023)
Nicolás Cardozo, Ivana Dusparic, Christian Cabrera
Prevalence of Code Smells in Reinforcement Learning Projects. CAIN (2023)
Jernej Hribar, Luke Hackett, Ivana Dusparic
Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning. ICAART (2) (2023)
Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification. CoRR (2023)
Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes
A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends. IEEE Access 11 (2023)
Nicolás Cardozo, Ivana Dusparic, Christian Cabrera
Prevalence of Code Smells in Reinforcement Learning Projects. CoRR (2023)
Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhiyuan Jiang, Ivana Dusparic
Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning. Comput. Commun. 192 (2022)
Jasmina Gajcin, Ivana Dusparic
Counterfactual Explanations for Reinforcement Learning. CoRR (2022)
Hélio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia C. Fernande
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing. NetSoft (2022)
Jasmina Gajcin, Ivana Dusparic
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. CoRR (2022)
Jernej Hribar, Ivana Dusparic
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. CoRR (2022)
Boris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association. IEEE Trans. Veh. Technol. 71 (1) (2022)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks. CoRR (2022)
Jasmina Gajcin, Ivana Dusparic
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. EXTRAAMAS@AAMAS (2022)
James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic
Boolean Decision Rules for Reinforcement Learning Policy Summarisation. CoRR (2022)
Nicolás Cardozo, Ivana Dusparic
Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations. J. Object Technol. 21 (2) (2022)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement Learning. IEEE Wirel. Commun. Lett. 11 (8) (2022)
Hélio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia Castro Fernandes
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing. CoRR (2022)
Boris Galkin, Babatunji Omoniwa, Ivana Dusparic
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points. ICC (2022)
Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly
Prequential Model Selection for Time Series Forecasting based on Saliency Maps. Big Data (2022)
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
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes 47 (4) (2022)
Ivana Dusparic
Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments. ACSOS-C (2022)
Jernej Hribar, Ivana Dusparic
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. WCNC (2022)
Jernej Hribar, Luke Hackett, Ivana Dusparic
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning. CoRR (2022)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning. CCNC (2022)
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
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR (2022)
Alberto Castagna, Ivana Dusparic
Multi-agent Transfer Learning in Reinforcement Learning-based Ride-sharing Systems. ICAART (2) (2022)
Tom He, Jasmina Gajcin, Ivana Dusparic
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning. CoRR (2022)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning. CoRR (2022)
Alberto Castagna, Ivana Dusparic
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems. CoRR (2021)
Boris Galkin, Babatunji Omoniwa, Ivana Dusparic
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points. CoRR (2021)
Marin Lujak, Ivana Dusparic, Franziska Klügl, Giuseppe Vizzari
Agents in Traffic and Transportation (ATT 2020). AI Commun. 34 (1) (2021)
Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. CoRR (2021)
Erika Fonseca, Boris Galkin, Marvin Kelly, Luiz A. DaSilva, Ivana Dusparic
Mobility for Cellular-Connected UAVs: challenges for the network provider. CoRR (2021)
Babatunji Omoniwa, Maxime Guériau, Ivana Dusparic
A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT. CoRR (2021)
Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic
Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility. AI Commun. 34 (1) (2021)
Boris Galkin, Erika Fonseca, Gavin Lee, Conor Duff, Marvin Kelly, Edward Emmanuel, Ivana Dusparic
Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network. ICC Workshops (2021)
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning. CoRR (2021)
Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. GLOBECOM (2021)
Erika Fonseca, Boris Galkin, Marvin Kelly, Luiz A. DaSilva, Ivana Dusparic
Mobility for Cellular-Connected UAVs: Challenges for the Network Provider. EuCNC/6G Summit (2021)
Nicolás Cardozo, Ivana Dusparic
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions. SEAMS@ICSE (2021)
Kresimir Kusic, Edouard Ivanjko, Filip Vrbanic, Martin Greguric, Ivana Dusparic
Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning. ITSC (2021)
Nicolás Cardozo, Ivana Dusparic
Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options. CoRR (2021)
Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents. CoRR (2021)
Ivana Dusparic, Nicolás Cardozo
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions. CoRR (2021)
Erika Fonseca, Boris Galkin, Luiz A. DaSilva, Ivana Dusparic
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning. CoRR (2020)
Andrew Hynes, Elena P. Sapozhnikova, Ivana Dusparic
Optimising PID Control with Residual Policy Reinforcement Learning. AICS (2020)
Maxime Guériau, Federico Cugurullo, Ransford A. Acheampong, Ivana Dusparic
Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion. IEEE Intell. Transp. Syst. Mag. 12 (4) (2020)
Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic
Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets. ATT@ECAI (2020)
Maxime Guériau, Ivana Dusparic
Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic. ITSC (2020)
Nicolás Cardozo, Ivana Dusparic
Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming. ACSOS Companion (2020)
Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic, Nicolás Cardozo
Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary Study. ICSE (Workshops) (2020)
Boris Galkin, Erika Fonseca, Gavin Lee, Conor Duff, Marvin Kelly, Edward Emmanuel, Ivana Dusparic
Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network. CoRR (2020)
Baudouin Dafflon, Maxime Guériau, Yacine Ouzrout, Ivana Dusparic
Emerging Micro-Communities for Ride-Sharing Enabled Mobility-on-Demand Systems. ATT@ECAI (2020)
Nicolás Cardozo, Ivana Dusparic
Learning run-time compositions of interacting adaptations. SEAMS@ICSE (2020)
Kresimir Kusic, Ivana Dusparic, Maxime Guériau, Martin Greguric, Edouard Ivanjko
Extended Variable Speed Limit control using Multi-agent Reinforcement Learning. ITSC (2020)
Boris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association. CoRR (2020)
Fatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke
Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems. ACM Trans. Intell. Syst. Technol. 10 (3) (2019)
Babatunji Omoniwa, Maxime Guériau, Ivana Dusparic
An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT. WiMob (2019)
Christopher Doyle, Maxime Guériau, Ivana Dusparic
Variational Policy Chaining for Lifelong Reinforcement Learning. ICTAI (2019)
Maxime Guériau, Nicolás Cardozo, Ivana Dusparic
Constructivist Approach to State Space Adaptation in Reinforcement Learning. SASO (2019)
Amit Prasad, Ivana Dusparic
Multi-agent Deep Reinforcement Learning for Zero Energy Communities. ISGT Europe (2019)
Adam Taylor, Ivana Dusparic, Maxime Guériau, Siobhán Clarke
Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer? IJCNN (2019)
Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche
Privacy Aware Incentivization for Participatory Sensing. Sensors 19 (18) (2019)
Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche
Adaptive Reward Allocation for Participatory Sensing. Wirel. Commun. Mob. Comput. 2018 (2018)
Stefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures. CoRR (2018)
Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, Siobhán Clarke
Participant Selection for Short-term Collaboration in Open Multi-agent systems. Simul. Model. Pract. Theory 83 (2018)
Maxime Guériau, Ivana Dusparic
SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning. ITSC (2018)
Martin Connolly, Ivana Dusparic, Mélanie Bouroche
An Identity Privacy Preserving Incentivization Scheme for Participatory Sensing. ICMU (2018)
Jeancarlo Arguello Calvo, Ivana Dusparic
Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control. AICS (2018)
Stefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures. Sensors 18 (11) (2018)
Amit Prasad, Ivana Dusparic
Multi-agent Deep Reinforcement Learning for Zero Energy Communities. CoRR (2018)
Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments. ACM Trans. Auton. Adapt. Syst. 12 (2) (2017)
Nicolás Cardozo, Ivana Dusparic, Jorge H. Castro
Peace COrP: learning to solve conflicts between contexts. COP@ECOOP (2017)
Ivana Dusparic, Julien Monteil, Vinny Cahill
Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning. ITSC (2016)
Fatemeh Golpayegani, Ivana Dusparic, Adam Taylor, Siobhán Clarke
Multi-agent Collaboration for Conflict Management in Residential Demand Response. Comput. Commun. 96 (2016)
Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke
P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments. AAMAS (2015)
Jean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
Evaluation of Forecasting Methods for Very Small-Scale Networks. DARE (2015)
Fatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke
Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management. SustainIT (2015)
Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill, Siobhán Clarke
Maximizing renewable energy use with decentralized residential demand response. ISC2 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ivana Dusparic