Nick Malleson
Orcid: 0000-0002-6977-0615
According to our database1,
Nick Malleson
authored at least 33 papers
between 2007 and 2024.
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Bibliography
2024
J. Simulation, January, 2024
An Agent-Based Model of the 2020 International Policy Diffusion in Response to the COVID-19 Pandemic with Particle Filter.
J. Artif. Soc. Soc. Simul., 2024
2023
Modeling agent decision and behavior in the light of data science and artificial intelligence.
Environ. Model. Softw., August, 2023
2022
J. Artif. Soc. Soc. Simul., 2022
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data.
CoRR, 2022
AI Commun., 2022
2021
A data-driven agent-based simulation to predict crime patterns in an urban environment.
Comput. Environ. Urban Syst., 2021
Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter.
Simul. Model. Pract. Theory, 2021
Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources.
ISPRS Int. J. Geo Inf., 2021
Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review.
ISPRS Int. J. Geo Inf., 2021
2020
J. Artif. Soc. Soc. Simul., 2020
J. Artif. Soc. Soc. Simul., 2020
Minimum geocoding match rates: an international study of the impact of data and areal unit sizes.
Int. J. Geogr. Inf. Sci., 2020
Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility.
GeoInformatica, 2019
CoRR, 2019
2018
The characteristics of asymmetric pedestrian behavior: A preliminary study using passive smartphone location data.
Trans. GIS, 2018
2017
Enhancing Energy, Health and Security Policy by Extracting, Enriching and Interfacing Next Generation Data in the Transport Domain (A Study on the Use of Big Data in Cross-Sectoral Policy Development).
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
2016
"Space, the Final Frontier": How Good are Agent-Based Models at Simulating Individuals and Space in Cities?
Syst., 2016
2014
Proceedings of the Theories and Simulations of Complex Social Systems, 2014
Int. J. Agric. Environ. Inf. Syst., 2014
Spatial microsimulation modeling for residential energy demand of England in an uncertain future.
Geo spatial Inf. Sci., 2014
CoRR, 2014
2013
The Classification of Space-Time Behaviour Patterns in a British City from Crowd-Sourced Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013
2012
Analysis of crime patterns through the integration of an agent-based model and a population microsimulation.
Comput. Environ. Urban Syst., 2012
Implementing comprehensive offender behaviour in a realistic agent-based model of burglary.
Simul., 2012
2011
Int. J. Geogr. Inf. Sci., 2011
2010
Comput. Environ. Urban Syst., 2010
2007
Computer Simulations of Criminal Deterrence: from Public Policy to Local Interaction to Individual Behaviour <i>by Pieter Van Baal</i>.
J. Artif. Soc. Soc. Simul., 2007