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Nick Malleson
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2020 – today
- 2024
- [j23]Yannick Oswald, Nick Malleson, Keiran Suchak:
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. 27(2) (2024) - [j22]Le-Minh Kieu
, Hoang Nguyen
Towards real-time predictions using emulators of agent-based models. J. Simulation 18(1): 29-46 (2024) - 2023
- [j21]Li An
Modeling agent decision and behavior in the light of data science and artificial intelligence. Environ. Model. Softw. 166: 105713 (2023) - [i7]Yannick Oswald, Nick Malleson
An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filter. CoRR abs/2302.11277 (2023) - 2022
- [j20]Nick Malleson
Agent-based modelling for Urban Analytics: State of the art and challenges. AI Commun. 35(4): 393-406 (2022) - [j19]Josie McCulloch, Jiaqi Ge
Calibrating Agent-Based Models Using Uncertainty Quantification Methods. J. Artif. Soc. Soc. Simul. 25(2) (2022) - [i6]Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal A. Mateen
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. CoRR abs/2203.01363 (2022) - [i5]Daniel Tang, Nick Malleson
Data assimilation with agent-based models using Markov chain sampling. CoRR abs/2205.01616 (2022) - [i4]Nick Malleson
Agent-Based Modelling for Urban Analytics: State of the Art and Challenges. CoRR abs/2210.06955 (2022) - 2021
- [j18]Annabel Whipp
Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources. ISPRS Int. J. Geo Inf. 10(3): 131 (2021) - [j17]Nan Cui
Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review. ISPRS Int. J. Geo Inf. 10(7): 425 (2021) - [j16]Robert Clay
Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter. Simul. Model. Pract. Theory 113: 102386 (2021) - [j15]Raquel Rosés, Cristina Kadar, Nick Malleson
A data-driven agent-based simulation to predict crime patterns in an urban environment. Comput. Environ. Urban Syst. 89: 101660 (2021) - 2020
- [j14]Martin A. Andresen
Minimum geocoding match rates: an international study of the impact of data and areal unit sizes. Int. J. Geogr. Inf. Sci. 34(7): 1306-1322 (2020) - [j13]Jumadi, Nick Malleson
Estimating Spatio-Temporal Risks from Volcanic Eruptions Using an Agent-Based Model. J. Artif. Soc. Soc. Simul. 23(2) (2020) - [j12]Nick Malleson
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter. J. Artif. Soc. Soc. Simul. 23(3) (2020) - [c5]Alison J. Heppenstall, Nick Malleson:
Building Cities from Slime Mould, Agents and Quantum Field Theory. AAMAS 2020: 3-4 - [c4]Dan Birks
Towards the Development of Societal Twins. ECAI 2020: 2883-2884 - [c3]Robert Clay
Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter. PAAMS 2020: 68-79
2010 – 2019
- 2019
- [j11]Tomas Crols
Quantifying the ambient population using hourly population footfall data and an agent-based model of daily mobility. GeoInformatica 23(2): 201-220 (2019) - [j10]Usman Lawal Gulma
Diversity and burglary: Do community differences matter? Trans. GIS 23(2): 181-202 (2019) - [i3]Le-Minh Kieu, Nicolas Malleson
Dealing with uncertainty in agent-based models for short-term predictions. CoRR abs/1908.08288 (2019) - [i2]Nick Malleson
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter. CoRR abs/1909.09397 (2019) - 2018
- [j9]Nick Malleson
The characteristics of asymmetric pedestrian behavior: A preliminary study using passive smartphone location data. Trans. GIS 22(2): 616-634 (2018) - [e1]Lex Comber, Nick Malleson:
Proceedings of the 4th AGILE PhD School, Leeds, UK, October 30 - November 02, 2017. CEUR Workshop Proceedings 2088, CEUR-WS.org 2018 [contents] - 2017
- [c2]Susan Grant-Muller, Frances Hodgson, Nick Malleson
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). BigData Congress 2017: 515-518 - 2016
- [j8]Alison J. Heppenstall
"Space, the Final Frontier": How Good are Agent-Based Models at Simulating Individuals and Space in Cities? Syst. 4(1): 9 (2016) - 2014
- [j7]Chengchao Zuo
Spatial microsimulation modeling for residential energy demand of England in an uncertain future. Geo spatial Inf. Sci. 17(3): 153-169 (2014) - [j6]Mark H. Birkin
An Examination of Personal Mobility Patterns in Space and Time Using Twitter. Int. J. Agric. Environ. Inf. Syst. 5(3): 55-72 (2014) - [p1]Nick Malleson
Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars. Theories and Simulations of Complex Social Systems 2014: 179-204 - [i1]Robin Lovelace
Geotagged tweets to inform a spatial interaction model: a case study of museums. CoRR abs/1403.5118 (2014) - 2013
- [c1]Mark H. Birkin
The Classification of Space-Time Behaviour Patterns in a British City from Crowd-Sourced Data. ICCSA (4) 2013: 179-192 - 2012
- [j5]Nick Malleson
Implementing comprehensive offender behaviour in a realistic agent-based model of burglary. Simul. 88(1): 50-71 (2012) - [j4]Nick Malleson
Analysis of crime patterns through the integration of an agent-based model and a population microsimulation. Comput. Environ. Urban Syst. 36(6): 551-561 (2012) - 2011
- [j3]Mark H. Birkin
Calibration of a spatial simulation model with volunteered geographical information. Int. J. Geogr. Inf. Sci. 25(8): 1221-1239 (2011) - 2010
- [j2]Nick Malleson
Crime reduction through simulation: An agent-based model of burglary. Comput. Environ. Urban Syst. 34(3): 236-250 (2010)
2000 – 2009
- 2007
- [j1]Nick Malleson:
Computer Simulations of Criminal Deterrence: from Public Policy to Local Interaction to Individual Behaviour by Pieter Van Baal. J. Artif. Soc. Soc. Simul. 10(1) (2007)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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