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Jim Duggan
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2020 – today
- 2024
- [j25]Jim Duggan, Jair Andrade, Thomas Brendan Murphy, James P. Gleeson, Cathal Walsh, Philip Nolan:
An age-cohort simulation model for generating COVID-19 scenarios: A study from Ireland's pandemic response. Eur. J. Oper. Res. 313(1): 343-358 (2024) - 2023
- [j24]Nicola Mc Donnell, Jim Duggan, Enda Howley:
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering. ACM Trans. Auton. Adapt. Syst. 18(2): 6:1-6:30 (2023) - 2022
- [j23]Jair Andrade, Jim Duggan:
Inferring the effective reproductive number from deterministic and semi-deterministic compartmental models using incidence and mobility data. PLoS Comput. Biol. 18(6) (2022) - [j22]Nabeela Mumtaz, Caroline Green, Jim Duggan:
Exploring the Effect of Misinformation on Infectious Disease Transmission. Syst. 10(2): 50 (2022) - 2020
- [j21]Nicola Mc Donnell, Enda Howley, Jim Duggan:
Dynamic virtual machine consolidation using a multi-agent system to optimise energy efficiency in cloud computing. Future Gener. Comput. Syst. 108: 288-301 (2020) - [c28]Nicola Mc Donnell, Enda Howley, Jim Duggan:
Evolved Gossip Contracts - A Framework for Designing Multi-agent Systems. PPSN (1) 2020: 637-649
2010 – 2019
- 2019
- [j20]Kyriaki Kalimeri, Matteo Delfino, Ciro Cattuto, Daniela Perrotta, Vittoria Colizza, Caroline Guerrisi, Clément Turbelin, Jim Duggan, John Edmunds, Chinelo Obi, Richard Pebody, Ana O. Franco, Yamir Moreno, Sandro Meloni, Carl Koppeschaar, Charlotte Kjelsø, Ricardo Mexia, Daniela Paolotti:
Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms. PLoS Comput. Biol. 15(4) (2019) - [j19]Martin Duggan, Rachael Shaw, Jim Duggan, Enda Howley, Enda Barrett:
A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers. Softw. Pract. Exp. 49(4): 617-639 (2019) - [c27]Joana M. Barros, Paul Buitelaar, Jim Duggan, Dietrich Rebholz-Schuhmann:
Unsupervised Classification of Health Content on Reddit. PDH 2019: 85-89 - 2018
- [j18]Karl Mason, Jim Duggan, Enda Howley:
A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning. Appl. Soft Comput. 62: 148-161 (2018) - [j17]Joana M. Barros, Jim Duggan, Dietrich Rebholz-Schuhmann:
Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns. J. Biomed. Semant. 9(1): 18:1-18:11 (2018) - [j16]Karl Mason, Martin Duggan, Enda Barrett, Jim Duggan, Enda Howley:
Predicting host CPU utilization in the cloud using evolutionary neural networks. Future Gener. Comput. Syst. 86: 162-173 (2018) - [j15]Patrick Mannion, Sam Devlin, Jim Duggan, Enda Howley:
Reward shaping for knowledge-based multi-objective multi-agent reinforcement learning. Knowl. Eng. Rev. 33: e23 (2018) - [c26]James Broderick, Jim Duggan, Sam Redfern:
The Importance of Spatial Audio in Modern Games and Virtual Environments. GEM 2018: 1-9 - 2017
- [j14]Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett:
A network aware approach for the scheduling of virtual machine migration during peak loads. Clust. Comput. 20(3): 2083-2094 (2017) - [j13]Patrick Mannion, Sam Devlin, Karl Mason, Jim Duggan, Enda Howley:
Policy invariance under reward transformations for multi-objective reinforcement learning. Neurocomputing 263: 60-73 (2017) - [j12]Karl Mason, Jim Duggan, Enda Howley:
Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants. Neurocomputing 270: 188-197 (2017) - [j11]Patrick Mannion, Sam Devlin, Jim Duggan, Enda Howley:
Multi-agent credit assignment in stochastic resource management games. Knowl. Eng. Rev. 32: e16 (2017) - [j10]Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett:
A reinforcement learning approach for the scheduling of live migration from under utilised hosts. Memetic Comput. 9(4): 283-293 (2017) - [j9]Jim Duggan:
Implementing a Metapopulation Bass Diffusion Model using the R Package deSolve. R J. 9(1): 153 (2017) - [c25]Patrick Mannion, Jim Duggan, Enda Howley:
A Theoretical and Empirical Analysis of Reward Transformations in Multi-Objective Stochastic Games. AAMAS 2017: 1625-1627 - [c24]Karl Mason, Jim Duggan, Enda Howley:
Neural network topology and weight optimization through neuro differential evolution. GECCO (Companion) 2017: 213-214 - [c23]Karl Mason, Jim Duggan, Enda Howley:
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch. GECCO (Companion) 2017: 1287-1294 - [c22]Martin Duggan, Karl Mason, Jim Duggan, Enda Howley, Enda Barrett:
Predicting host CPU utilization in cloud computing using recurrent neural networks. ICITST 2017: 67-72 - [c21]Andrea Yáñez, Jim Duggan, Conor Hayes, Musfira Jilani, Maire Connolly:
PandemCap: Decision support tool for epidemic management. VAHC 2017: 24-30 - 2016
- [b1]Jim Duggan:
System Dynamics Modeling with R. Lecture Notes in Social Networks, Springer 2016, ISBN 978-3-319-34041-8, pp. 1-165 - [c20]Patrick Mannion, Karl Mason, Sam Devlin, Jim Duggan, Enda Howley:
Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract). AAMAS 2016: 1345-1346 - [c19]Martina Curran, Enda Howley, Jim Duggan:
An Analytics Framework to Support Surge Capacity Planning for Emerging Epidemics. Digital Health 2016: 151-155 - [c18]Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett:
An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres. ICCAC 2016: 24-32 - [p1]Patrick Mannion, Jim Duggan, Enda Howley:
An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control. Autonomic Road Transport Support Systems 2016: 47-66 - 2015
- [j8]Gerard J. Lyons, Jim Duggan:
System dynamics modelling to support policy analysis for sustainable health care. J. Simulation 9(2): 129-139 (2015) - [c17]Patrick Mannion, Jim Duggan, Enda Howley:
Parallel Reinforcement Learning for Traffic Signal Control. ANT/SEIT 2015: 956-961 - 2014
- [j7]Enda Barrett, Jim Duggan, Enda Howley:
A parallel framework for Bayesian reinforcement learning. Connect. Sci. 26(1): 7-23 (2014) - 2013
- [j6]Enda Barrett, Enda Howley, Jim Duggan:
Applying reinforcement learning towards automating resource allocation and application scalability in the cloud. Concurr. Comput. Pract. Exp. 25(12): 1656-1674 (2013) - 2011
- [j5]Enda Howley, Jim Duggan:
Investing in the Commons: a Study of Openness and the Emergence of Cooperation. Adv. Complex Syst. 14(2): 229-250 (2011) - [j4]Declan Mungovan, Enda Howley, Jim Duggan:
The influence of random interactions and decision heuristics on norm evolution in social networks. Comput. Math. Organ. Theory 17(2): 152-178 (2011) - [c16]Enda Howley, Jim Duggan:
Tag-based cooperation in N-player dilemmas. AAMAS 2011: 1211-1212 - [c15]Enda Barrett, Enda Howley, Jim Duggan:
A Learning Architecture for Scheduling Workflow Applications in the Cloud. ECOWS 2011: 83-90 - [c14]Hongliang Liu, Enda Howley, Jim Duggan:
Particle swarm optimisation with gradually increasing directed neighbourhoods. GECCO 2011: 29-36 - 2010
- [c13]Hongliang Liu, Enda Howley, Jim Duggan:
The Impact of Market Preferences on the Evolution of Market Price and Product Quality. MALLOW 2010 - [r2]Jim Duggan:
Patterns. Encyclopedia of Software Engineering 2010: 660-672 - [r1]Jim Duggan:
Project Life Cycle: Construction. Encyclopedia of Software Engineering 2010: 809-824 - [i1]Jim Duggan:
Computational Modelling and Simulation for an Interconnected World. ERCIM News 2010(81) (2010)
2000 – 2009
- 2009
- [c12]Declan Mungovan, Enda Howley, Jim Duggan:
Norm Convergence in Populations of Dynamically Interacting Agents. AICS 2009: 219-230 - [c11]Enda Howley, Jim Duggan:
The Effects of Evolved Sociability in a Commons Dilemma. ALA 2009: 33-48 - [c10]Hongliang Liu, Enda Howley, Jim Duggan:
Optimisation of the Beer Distribution Game with complex customer demand patterns. IEEE Congress on Evolutionary Computation 2009: 2638-2645 - [c9]Enda Barrett, Enda Howley, Jim Duggan:
Evolving Group Coordination in an N-Player Game. ECAL (1) 2009: 450-457 - 2006
- [c8]Claire Costello, Weston Fleming, Owen Molloy, Gerard Lyons, Jim Duggan:
iWISE: A Framework for Providing Distributed Process Visibility Using an Event-Based Process Modelling Approach. ICEIS (3) 2006: 224-233 - [c7]Brian Shields, Owen Molloy, Gerard Lyons, Jim Duggan:
Using semantic rules to determine access control for web services. WWW 2006: 913-914 - 2005
- [c6]Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons:
Context-Sensitive Regression Analysis for Distributed Data. ADMA 2005: 292-299 - [c5]Claire Costello, Owen Molloy, Gerard Lyons, Jim Duggan:
Using Event-Based Process Modelling to Support Six Sigma Quality. DEXA Workshops 2005: 926-930 - [c4]Brian Shields, Owen Molloy, Gerard Lyons, Jim Duggan:
Securing Web Services Using Semantic Web Technologies. Industrial Applications of Semantic Web 2005: 261-273 - 2004
- [j3]Jim Duggan, Jason Byrne, Gerard Lyons:
A Task Allocation Optimizer for Software Construction. IEEE Softw. 21(3): 76-82 (2004) - 2003
- [c3]Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons:
Distributed Regression for Heterogeneous Data Sets. IDA 2003: 544-553 - 2002
- [j2]Desmond Chambers, Gerard Lyons, Jim Duggan:
A Multimedia Enhanced Distributed Object Event Service. IEEE Multim. 9(3): 56-71 (2002) - 2001
- [j1]Michael Lang, Jim Duggan:
A Tool to Support Collaborative Software Requirements Management. Requir. Eng. 6(3): 161-172 (2001) - [c2]Desmond Chambers, Gerard Lyons, Jim Duggan:
Stream enhancements for the CORBA event service. ACM Multimedia 2001: 61-69 - 2000
- [c1]Desmond Chambers, Gerard Lyons, Jim Duggan:
Design of a Virtual Store Using Distributed Object Technology. PDSE 2000: 66-75
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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