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ivanadusparic

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Publications: 0
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Dusparic, ID
ID Dusparic
Dusparic, Ivana
Dusparic
Ivana Dusparic

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Ivana Dusparic's Profile

Publications

Unidentified Publications

Publications with a 'Ivana Dusparic' as author, editor, or advisor:

Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?Adam Taylor, Ivana Dusparic, Maxime Guériau, Siobhán Clarke. ijcnn 2019: 1-8 [doi]
Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights ControlJeancarlo Arguello Calvo, Ivana Dusparic. aics 2018: 2-13 [doi]
Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25, 2022Ana Lúcia C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari, editors, Volume 3173 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]
Privacy Aware Incentivization for Participatory SensingMartin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche. sensors, 19(18):4049, 2019. [doi]
IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022, Virtual, CA, USA, September 19-23, 2022Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini, Ivana Dusparic, Timothy Wood, Phyllis R. Nelson, Evangelos Pournaras, Nelly Bencomo, Sebastian Götz, Christian Krupitzer, Claudia Raibulet, editors, IEEE, 2022. [doi]
Guidelines for Artifacts to Support Industry-Relevant Research on Self-AdaptationDanny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien 0001, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel 0001, Rebekka Wohlrab. sigsoft, 47(4):18-24, 2022. [doi]
Autonomic multi-policy optimization in pervasive systems: Overview and evaluationIvana Dusparic, Vinny Cahill. taas, 7(1):11, 2012. [doi]
P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary EnvironmentsAndrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke. atal 2015: 1897-1898 [doi]
Distributed W-Learning: Multi-Policy Optimization in Self-Organizing SystemsIvana Dusparic, Vinny Cahill. saso 2009: 20-29 [doi]
Mobility for Cellular-Connected UAVs: Challenges for the Network ProviderErika Fonseca, Boris Galkin, Marvin Kelly, Luiz A. DaSilva, Ivana Dusparic. eucnc 2021: 136-141 [doi]
Iterative Reward Shaping Using Human Feedback for Correcting Reward MisspecificationJasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu 0002, Elizabeth Daly, Ivana Dusparic. ecai 2023: 788-794 [doi]
Multi-agent Transfer Learning in Reinforcement Learning-based Ride-sharing SystemsAlberto Castagna, Ivana Dusparic. icaart 2022: 120-130 [doi]
Accelerating Learning in multi-objective systems through Transfer LearningAdam Taylor, Ivana Dusparic, Edgar Galván López, Siobhán Clarke, Vinny Cahill. ijcnn 2014: 2298-2305 [doi]
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted NetworksBabatunji Omoniwa, Boris Galkin, Ivana Dusparic. wimob 2023: 267-273 [doi]
Participant Selection for Short-term Collaboration in Open Multi-agent systemsFatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, Siobhán Clarke. simpra, 83:149-161, 2018. [doi]
Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum NetworkBoris Galkin, Erika Fonseca, Gavin Lee, Conor Duff, Marvin Kelly, Edward Emmanuel, Ivana Dusparic. icc 2021: 1-6 [doi]
Learning run-time compositions of interacting adaptationsNicolás Cardozo, Ivana Dusparic. ICSE 2020: 108-114 [doi]
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018), Stockholm, Sweden, July 14, 2018Ana Lúcia C. Bazzan, Luca Crociani, Ivana Dusparic, Sascha Ossowski, editors, Volume 2129 of CEUR Workshop Proceedings, CEUR-WS.org, 2018. [doi]
Prevalence of Code Smells in Reinforcement Learning ProjectsNicolás Cardozo, Ivana Dusparic, Christian Cabrera 0003. cain 2023: 37-42 [doi]
Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobilityAlberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic. aicom, 34(1):73-88, 2021. [doi]
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2022, Virtual, CA, USA, September 19-23, 2022Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini, Ivana Dusparic, Timothy Wood, Phyllis R. Nelson, Evangelos Pournaras, Nelly Bencomo, Sebastian Götz, Christian Krupitzer, Claudia Raibulet, editors, IEEE, 2022. [doi]
Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement LearningJernej Hribar, Luke Hackett, Ivana Dusparic. icaart 2023: 17-26 [doi]
A hybrid approach to very small scale electrical demand forecastingAndrei Marinescu, Colin Harris, Ivana Dusparic, Vinny Cahill, Siobhán Clarke. isgt 2014: 1-5 [doi]
Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networksBabatunji Omoniwa, Boris Galkin, Ivana Dusparic. vcomm, 43:100640, October 2023. [doi]
Agents in Traffic and Transportation (ATT 2020)Marin Lujak, Ivana Dusparic, Franziska Klügl, Giuseppe Vizzari. aicom, 34(1):1-3, 2021. [doi]
An Identity Privacy Preserving Incentivization Scheme for Participatory SensingMartin Connolly, Ivana Dusparic, Mélanie Bouroche. ICMU 2018: 1-6 [doi]
Reservation of Virtualized Resources with Optimistic Online LearningJean-Baptiste Monteil, George Iosifidis, Ivana Dusparic. icc 2023: 5147-5153 [doi]
Guest editorial: Role of agents in traffic and transportationMarin Lujak, Ana L. C. Bazzan, Ivana Dusparic, Giuseppe Vizzari. comsis, 21(1), 2024. [doi]
Multi-policy optimization in decentralized autonomic systemsIvana Dusparic, Vinny Cahill. atal 2009: 1203-1204 [doi]
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research DirectionsNicolás Cardozo, Ivana Dusparic. SEAMS 2021: 252-253 [doi]
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station AssociationBoris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic. tvt, 71(1):5-20, 2022. [doi]
Evaluation of Forecasting Methods for Very Small-Scale NetworksJean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke. pkdd 2015: 56-75 [doi]
Flexible Application Rights Management in a Pervasive EnvironmentIvana Dusparic, Dominik Dahlem, Jim Dowling. eee 2005: 680-685 [doi]
Extended Variable Speed Limit control using Multi-agent Reinforcement LearningKresimir Kusic, Ivana Dusparic, Maxime Guériau, Martin Greguric, Edouard Ivanjko. itsc 2020: 1-8 [doi]
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered MeasuresStefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker. sensors, 18(11):3707, 2018. [doi]
Using distributed w-learning for multi-policy optimization in decentralized autonomic systemsIvana Dusparic, Vinny Cahill. icac 2009: 63-64 [doi]
Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed trafficMaxime Guériau, Ivana Dusparic. itsc 2020: 1-8 [doi]
A dynamic forecasting method for small scale residential electrical demandAndrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke. ijcnn 2014: 3767-3774 [doi]
Constructivist Approach to State Space Adaptation in Reinforcement LearningMaxime Guériau, Nicolás Cardozo, Ivana Dusparic. saso 2019: 52-61 [doi]
Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing FleetsAlberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic. ecai 2020: 47-54 [doi]
Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary EnvironmentsAndrei Marinescu, Ivana Dusparic, Siobhán Clarke. taas, 12(2), 2017. [doi]
Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand managementFatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke. ifip6-3 2015: 1-8 [doi]
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement LearningJernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic. globecom 2021: 1-6 [doi]
Message from the Program Chairs ACSOS 2023Ivana Dusparic, Barry Porter. acsos 2023: [doi]
Peace COrP: learning to solve conflicts between contextsNicolás Cardozo, Ivana Dusparic, Jorge H. Castro. ECOOP 2017: 1-6 [doi]
Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic CongestionMaxime Guériau, Federico Cugurullo, Ransford A. Acheampong, Ivana Dusparic. itsm, 12(4):208-218, 2020. [doi]
Optimising PID Control with Residual Policy Reinforcement LearningAndrew Hynes, Elena P. Sapozhnikova, Ivana Dusparic. aics 2020: 277-288 [doi]
Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environmentsIvana Dusparic. acsos 2022: 49-50 [doi]
Maximizing renewable energy use with decentralized residential demand responseIvana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill, Siobhán Clarke. isc2 2015: 1-6 [doi]
A Pervasive Application Rights Management Architecture (PARMA) based on ODRLDominik Dahlem, Ivana Dusparic, Jim Dowling. odrl 2004: 45-63 [doi]
Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement LearningKresimir Kusic, Edouard Ivanjko, Filip Vrbanic, Martin Greguric, Ivana Dusparic. itsc 2021: 3238-3245 [doi]
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement LearningAlberto Castagna, Ivana Dusparic. ecai 2023: 357-364 [doi]
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated AnnealingHélio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia C. Fernande. netsoft 2022: 420-428 [doi]
Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent SystemsFatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke. tist, 10(3), 2019. [doi]
Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented ProgrammingNicolás Cardozo, Ivana Dusparic. acsos 2020: 133-138 [doi]
An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoTBabatunji Omoniwa, Maxime Guériau, Ivana Dusparic. wimob 2019: 324-329 [doi]
Multi-agent Collaboration for Conflict Management in Residential Demand ResponseFatemeh Golpayegani, Ivana Dusparic, Adam Taylor, Siobhán Clarke. comcom, 96:63-72, 2016. [doi]
Reducing electricity costs in a dynamic pricing environmentEdgar Galvan, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill. smartgridcomm 2012: 169-174 [doi]
Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary StudyMiller Trujillo, Mario Linares Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic, Nicolás Cardozo. ICSE 2020: 215-220 [doi]
Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning ApproachErika Fonseca, Boris Galkin, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic. access, 11:5966-5980, 2023. [doi]
Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement LearningBabatunji Omoniwa, Boris Galkin, Ivana Dusparic. wcl, 11(8):1590-1594, 2022. [doi]
Emerging Micro-Communities for Ride-Sharing Enabled Mobility-on-Demand SystemsBaudouin Dafflon, Maxime Guériau, Yacine Ouzrout, Ivana Dusparic. ecai 2020: 63-70 [doi]
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learningBabatunji Omoniwa, Boris Galkin, Ivana Dusparic. ccnc 2022: 216-222 [doi]
Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement LearningJernej Hribar, Luiz A. DaSilva, Sheng Zhou 0001, Zhiyuan Jiang, Ivana Dusparic. comcom, 192:223-233, 2022. [doi]
Towards autonomic urban traffic control with collaborative multi-policy reinforcement learningIvana Dusparic, Julien Monteil, Vinny Cahill. itsc 2016: 2065-2070 [doi]
Adaptive Reward Allocation for Participatory SensingMartin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche. wicomm, 2018, 2018. [doi]
Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning optionsNicolás Cardozo, Ivana Dusparic. INFSOF, 164:107308, December 2023. [doi]
Research Issues in Multiple Policy Optimization Using Collaborative Reinforcement LearningIvana Dusparic, Vinny Cahill. ICSE 2007: 18 [doi]
Using Reinforcement Learning for Multi-policy Optimization in Decentralized Autonomic Systems - An Experimental EvaluationIvana Dusparic, Vinny Cahill. ATC 2009: 105-119 [doi]
Variational Policy Chaining for Lifelong Reinforcement LearningChristopher Doyle, Maxime Guériau, Ivana Dusparic. ictai 2019: 1546-1550 [doi]
Multi-policy Optimization in Self-organizing SystemsIvana Dusparic, Vinny Cahill. wicsa 2010: 101-126 [doi]
Multi-agent Deep Reinforcement Learning for Zero Energy CommunitiesAmit Prasad, Ivana Dusparic. isgteurope 2019: 1-5 [doi]
SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement LearningMaxime Guériau, Ivana Dusparic. itsc 2018: 1558-1563 [doi]
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement LearningJasmina Gajcin, Ivana Dusparic. atal 2022: 38-56 [doi]
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access PointsBoris Galkin, Babatunji Omoniwa, Ivana Dusparic. icc 2022: 1-6 [doi]
Set point control for charging of electric vehicles on the distribution networkColin Harris, Ivana Dusparic, Edgar Galván López, Andrei Marinescu, Vinny Cahill, Siobhán Clarke. isgt 2014: 1-5 [doi]
Prequential Model Selection for Time Series Forecasting based on Saliency MapsShivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly. bigdataconf 2022: 3383-3392 [doi]
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the NetworkJernej Hribar, Ivana Dusparic. wcnc 2022: 2547-2552 [doi]
Residential electrical demand forecasting in very small scale: An evaluation of forecasting methodsAndrei Marinescu, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill. ICSE 2013: 25-32 [doi]
A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and TrendsHélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes. access, 11:41928-41953, 2023. [doi]
Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, September 4, 2020Ivana Dusparic, Franziska Klügl, Marin Lujak, Giuseppe Vizzari, editors, Volume 2701 of CEUR Workshop Proceedings, CEUR-WS.org, 2020. [doi]
Next Generation Context-oriented Programming: Embracing Dynamic Generation of AdaptationsNicolás Cardozo, Ivana Dusparic. jot, 21(2):1-6, 2022. [doi]

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