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Mohammad Noaeen
Mohammad Noaeen
Postdoctoral Fellow, University of Toronto
Verified email at utoronto.ca
Title
Cited by
Cited by
Year
Reinforcement learning in urban network traffic signal control: A systematic literature review
M Noaeen, A Naik, L Goodman, J Crebo, T Abrar, ZSH Abad, ALC Bazzan, ...
Expert Systems with Applications 199, 116830, 2022
962022
Requirements engineering visualization: a systematic literature review
ZSH Abad, M Noaeen, G Ruhe
2016 IEEE 24th International Requirements Engineering Conference (RE), 6-15, 2016
612016
Digital public health surveillance: a systematic scoping review
Z Shakeri Hossein Abad, A Kline, M Sultana, M Noaeen, ...
NPJ digital medicine 4 (1), 41, 2021
462021
Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks
M Noaeen, R Mohajerpoor, BH Far, M Ramezani
Transportation research part C: emerging technologies 133, 103407, 2021
232021
Two Sides of the Same Coin: Software developers' perceptions of task switching and task interruption
ZSH Abad, M Noaeen, D Zowghi, BH Far, K Barker
Proceedings of the 22Nd International Conference on Evaluation and …, 2018
172018
Let’s hear it from retta: A requirements elicitation tool for traffic management systems
M Noaeen, ZSH Abad, BH Far
2017 IEEE 25th International Requirements Engineering Conference (RE), 450-451, 2017
132017
Traffic signal timing optimization by modelling the lost time effect in the shock wave delay model
M Noaeen, AA Rassafi, BH Far
International Conference on transportation and development 2016, 397-408, 2016
112016
Social media analysis for traffic management
M Noaeen, BH Far
Proceedings of the 14th international conference on global software …, 2019
72019
The efficacy of using social media data for designing traffic management systems
M Noaeen, BH Far
2020 4th International Workshop on Crowd-Based Requirements Engineering …, 2020
52020
Exploring the residual queue length equation in the shock wave model
M Noaeen, AA Rassafi, BH Far
52016
Predicting time to diabetes diagnosis using random survival forests
P Saha, Y Marouf, H Pozzebon, A Guergachi, K Keshavjee, M Noaeen, ...
MedRxiv, 2024.02. 03.24302304, 2024
42024
Transportation engineering on social question and answer websites: an empirical case study
M Noaeen, Z Shakeri Hossein Abad, G Ruhe, B Homayoun Far
Highlighting the Importance of Big Data Management and Analysis for Various …, 2018
42018
Identifying prediabetes in canadian populations using machine learning
K Lu, P Sheth, ZL Zhou, K Kazari, A Guergachi, K Keshavjee, M Noaeen, ...
medRxiv, 2024.02. 03.24302301, 2024
32024
Predicting depression among canadians at-risk or living with diabetes using machine learning
K Samsel, A Tiwana, S Ali, A Sadeghi, A Guergachi, K Keshavjee, ...
medRxiv, 2024.02. 03.24302303, 2024
22024
Unlocking the power of EHRs: harnessing unstructured data for machine learning-based outcome predictions
M Noaeen, S Amini, S Bhasker, Z Ghezelsefli, A Ahmed, O Jafarinezhad, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
22023
Managing urban traffic networks using data analysis, traffic theory, and deep reinforcement learning
M Noaeen
University of Calgary (Canada), 2021
22021
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization
X Li, RC Mercurius, A Taitler, X Wang, M Noaeen, S Sanner, B Abdulhai
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
12023
HealthyPlan. City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities
D Doiron, EM Setton, J Syer, A Redivo, A McKee, M Noaeen, P Patel, ...
Journal of Urban Health, 1-11, 2024
2024
Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning
C Tanchip, M Noaeen, K Kazari, Z Shakeri
medRxiv, 2024.02. 03.24302297, 2024
2024
Predicting Diabetes in Canadian Adults Using Machine Learning
K Esser, M Duong, K Kain, S Tran, A Sadeghi, A Guergachi, K Keshavjee, ...
medRxiv, 2024.02. 03.24302302, 2024
2024
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