Mohammad-Reza NAMAZI-RAD

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	Toutes	Depuis 2019
Citations	472	315
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Coauteurs

Payam MokhtarianHead of Data & AI - MLOps and Data PlatformAdresse e-mail validée de uow.edu.au
David SteelProfessor, National Institute for Applied Statistics Research Australia,Univerisity of WollongongAdresse e-mail validée de uow.edu.au
Dr Matthew BerrymanAdresse e-mail validée de flinders.edu.au
Johan BarthélemyNVIDIAAdresse e-mail validée de nvidia.com
Thomas Süβe (Suesse)Senior lecturer in statistics, University of WollongongAdresse e-mail validée de uow.edu.au
Nagesh ShuklaAssociate ProfessorAdresse e-mail validée de griffith.edu.au
Rohan WickramasuriyaSenior Data Scientist, Endeavour EnergyAdresse e-mail validée de endeavourenergy.com.au
Nam HuynhFulbright School of Public Policy and ManagementAdresse e-mail validée de fulbright.edu.vn
Hadi GhaderiProfessor, Swinburne University of TechnologyAdresse e-mail validée de swin.edu.au
Tin Kin HoBeijing Jiaotong UniversityAdresse e-mail validée de amonics.com
Robert TantonHonorary Professor, Macquarie UniversityAdresse e-mail validée de cin.net.au
Sumonkanti DasAssociate Professor, Dept. of Statistics, Shahjalal University of Science & TechnologyAdresse e-mail validée de sust.edu
Christopher J PettitProfessor of Urban Science, University of New South WalesAdresse e-mail validée de unsw.edu.au
Abbas RajabifardThe University of Melbourne, AustraliaAdresse e-mail validée de unimelb.edu.au
Serene HoThe University of Melbourne, AustraliaAdresse e-mail validée de unimelb.edu.au
Soheil SabriDirector of Urban Digital Twin Lab at SMST, University of Central FloridaAdresse e-mail validée de ucf.edu
Khin Than WinUniversity of WollongongAdresse e-mail validée de uow.edu.au
Farid ShirvaniModel Based Systems Engineer, Systra Scott ListerAdresse e-mail validée de systra.com
Hooman ShidanshidiPostdoctoral Research Fellow, University of Wollongong, AustraliaAdresse e-mail validée de uow.edu.au

Suivre

Mohammad-Reza NAMAZI-RAD

Adjunct Professor, University of Wollongong

Adresse e-mail validée de uow.edu.au

Generative AI Statistical Modeling & Simulation Survey Methodology Transportation & Urban Studies


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Is neural topic modelling better than clustering? An empirical study on clustering with contextual embeddings for topics Z Zhang, M Fang, L Chen, MR Namazi-Rad arXiv preprint arXiv:2204.09874, 2022	76	2022
Generating a dynamic synthetic population - Using an age-structured two-sex model for household dynamics MR Namazi-Rad, P Mokhtarian, P Perez PLoS ONE 9 (4), e94761-1-e94761-16, 2014	46	2014
How do large language models capture the ever-changing world knowledge? a review of recent advances Z Zhang, M Fang, L Chen, MR Namazi-Rad, J Wang arXiv preprint arXiv:2310.07343, 2023	35	2023
Generating a Synthetic Population in Support of Agent-Based Modeling of Transportation in Sydney N Huynh, M Namazi-Rad, P Perez, MJ Berryman, Q Chen, J Barthelemy MODSIM2013, 20th International Congress on Modelling and Simulation, 1357-1363, 2013	28	2013
A Semi-Empirical Determination of Perceived Liveability MR Namazi-Rad, P Perez, M Berryman, R Wickramasuriya Bulletin de Méthodologie Sociologique: BMS 129, 5-24, 2016	26	2016
Alternative Planning and Land Administration for Future Smart Cities S Sabri, A Rajabifard, S Ho, MR Namazi-Rad, C Pettit IEEE Technology and Society Magazine 34 (4), 33-35, 2015	25	2015
Applying a Novel Combination of Techniques to Develop a Predictive Model for Diabetes Complications M Sangi, KT Win, F Shirvani, MR Namazi-Rad, N Shukla PLoS ONE 10 (4), e0121569, 2015	23	2015
Citb: A benchmark for continual instruction tuning Z Zhang, M Fang, L Chen, MR Namazi-Rad arXiv preprint arXiv:2310.14510, 2023	22	2023
An unconstrained statistical matching algorithm for combining individual and household level geo-specific census and survey data MR Namazi-Rad, R Tanton, D Steel, P Mokhtarian, S Das Computers, Environment and Urban Systems 63, 3–14, 2017	22	2017
An experimental determination of perceived liveability in Sydney MR Namazi-Rad, P Perez, M Berryman, F Lamy ACSPRI Conferences, RC33 Eighth International Conference on Social Science …, 2012	22	2012
What level of statistical model should we use in small area estimation? MR Namazi‐Rad, D Steel Australian & New Zealand Journal of Statistics 57 (2), 275-298, 2015	21	2015
Scene-adaptive configuration of two cameras using the correspondence field function F Safaei, P Mokhtarian, H Shidanshidi, W Li, M Namazi-Rad, ... Multimedia and Expo (ICME), 2013 IEEE International Conference on Multimedia …, 2013	14	2013
Improving the quality of rail freight services by managing the time-based attributes: the case of non-bulk rail network in Australia H Ghaderi, MR Namazi-Rad, S Cahoon, J Fei World Review of Intermodal Transportation Research 5 (3), 203-220, 2015	13	2015
Bayesian nonparametric reliability analysis for a railway system at component level P Mokhtarian, MR Namzi-Rad, TK Ho, T Suesse 2013 IEEE International Conference on Intelligent Rail Transportation …, 2013	13	2013
A Heuristic Analytical Technique for Location-based Liveability Measurement MR Namazi-Rad, F Lamy, P Perez, MJ Berryman Proceedings of the Fifth Annual ASEARC Conference, 2 - 3 February 2012, 2012	11	2012
Synthetic Population Initialization and Evolution-Agent-Based Modelling of Population Aging and Household Transitions MR Namazi-Rad, N Huynh, J Barthelemy, P Perez PRIMA 2014: Principles and Practice of Multi-Agent Systems; Lecture Notes in …, 2014	10	2014
mipfp: Multidimensional iterative proportional fitting and alternative models J Barthelemy, T Suesse, M Namazi-Rad R-package version 3 (1), 2018	8	2018
Estimating cross-classified population counts of multidimensional tables: an application to regional Australia to obtain pseudo-census counts TF Suesse, MR Namazi-Rad, P Mokhtarian, J Barthelemy Journal of Official Statistics 33 (4), 1021, 2017	8	2017
Hybrid method for building extraction in vegetation-rich urban areas from very high-resolution satellite imagery AS Jayasekare, R Wickramasuriya, MR Namazi-Rad, P Perez, G Singh Journal of Applied Remote Sensing 11 (3), 036017-036017, 2017	7	2017
Is neural topic modelling better than clustering Z Zhang, M Fang, L Chen, M Namazi Rad An empirical study on clustering with contextual embeddings for topics, 2022	6	2022

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