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Ivana Dusparic
Ivana Dusparic
Associate Professor, School of Computer Science and Statistics, Trinity College Dublin
Verified email at scss.tcd.ie - Homepage
Title
Cited by
Cited by
Year
The transition to autonomous cars, the redesign of cities and the future of urban sustainability
F Cugurullo, RA Acheampong, M Guériau, I Dusparic
Urban Geography, 2020
1922020
Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options
RA Acheampong, F Cugurullo, M Gueriau, I Dusparic
Cities 112, 103134, 2021
1792021
Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic
M Gueriau, I Dusparic
23rd IEEE International Conference on Intelligent Transportation Systems …, 2020
1272020
Residential Electrical Demand Forecasting in Very Small Scale: An Evaluation of Forecasting Methods
A Marinescu, C Harris, I Dusparic, S Clarke, V Cahill
1062013
Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control.
JA Calvo, I Dusparic
AICS, 2-13, 2018
972018
SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning
M Gueriau, I Dusparic
The 21st IEEE International Conference on Intelligent Transportation Systems …, 2018
872018
Multi-agent residential demand response based on load forecasting
I Dusparic, C Harris, A Marinescu, V Cahill, S Clarke
2013 1st IEEE conference on technologies for sustainability (SusTech), 90-96, 2013
842013
Multi-agent deep reinforcement learning for zero energy communities
A Prasad, I Dusparic
IEEE ISGT PES Europe 2019, 2019
752019
Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion
M Gueriau, F Cugurullo, RA Acheampong, I Dusparic
IEEE Intelligent Transportation Systems Magazine, 2020
732020
Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments
A Marinescu, I Dusparic, S Clarke
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 12 (2), 9, 2017
732017
Distributed W-Learning: Multi-policy optimization in self-organizing systems
I Dusparic, V Cahill
Self-Adaptive and Self-Organizing Systems, 2009. SASO'09. Third IEEE …, 2009
582009
Accelerating Learning in Multi-Objective Systems through Transfer Learning
A Taylor, I Dusparic, E Galván-López, S Clarke, V Cahill
In a Special Session on Learning and Optimization in Multi-Criteria Dynamic …, 2014
542014
Maximizing Renewable Energy Use with Decentralized Residential Demand Response
I Dusparic, A Taylor, A Marinescu, V Cahill, S Clarke
The First IEEE International Smart Cities Conference (ISC2-2015), 2015
492015
Residential demand response: Experimental evaluation and comparison of self-organizing techniques
I Dusparic, A Taylor, A Marinescu, F Golpayegani, S Clarke
Renewable and Sustainable Energy Reviews 80, 1528-1536, 2017
482017
A survey on securing federated learning: Analysis of applications, attacks, challenges, and trends
HNC Neto, J Hribar, I Dusparic, DMF Mattos, NC Fernandes
IEEE Access 11, 41928-41953, 2023
45*2023
Autonomic multi-policy optimization in pervasive systems: Overview and evaluation
I Dusparic, V Cahill
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 7 (1), 1-25, 2012
432012
Transfer Learning in Multi-Agent Systems Through Parallel Transfer
A Taylor, I Dusparic, E Galván-López, S Clarke, V Cahill
412013
Extended Variable Speed Limit control using Multi-agent Reinforcement Learning
K Kusic, I Dusparic, M Gueriau, M Greguric, E Ivanjko
The 23rd IEEE International Conference on Intelligent Transportation Systems …, 2020
362020
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association
B Galkin, E Fonseca, R Amer, LA DaSilva, I Dusparic
IEEE Transactions on Vehicular Technology, 2022
352022
Towards Autonomic Urban Traffic Control with Collaborative Multi-Policy Reinforcement Learning
I Dusparic, J Monteil, V Cahill
IEEE 19th International Conference on Intelligent Transportation Systems …, 2016
352016
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