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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Zonta, Daniele / Pozzi, Matteo / Bursi, Oreste S. (2007): Performance evaluation of smart prefabricated concrete elements. Dans: Smart Structures and Systems, v. 3, n. 4 (octobre 2007).

    https://doi.org/10.12989/sss.2007.3.4.475

  2. Zonta, Daniele / Wu, Huayong / Pozzi, Matteo / Zanon, Paolo / Ceriotti, Matteo / Mottola, Luca / Picco, Gian Pietro / Murphy, Amy L. / Guna, Stefan / Corra, Michele (2010): Wireless sensor networks for permanent health monitoring of historic buildings. Dans: Smart Structures and Systems, v. 6, n. 5-6 (juillet 2010).

    https://doi.org/10.12989/sss.2010.6.5_6.595

  3. Zonta, Daniele / Pozzi, Matteo (2015): The remarkable story of Portogruaro Civic Tower's probabilistic health monitoring. Dans: Structural Monitoring and Maintenance, v. 2, n. 4 (décembre 2015).

    https://doi.org/10.12989/smm.2015.2.4.301

  4. Pozzi, Matteo / Memarzadeh, Milad / Klima, Kelly (2017): Hidden-Model Processes for Adaptive Management under Uncertain Climate Change. Dans: Journal of Infrastructure Systems, v. 23, n. 4 (décembre 2017).

    https://doi.org/10.1061/(asce)is.1943-555x.0000376

  5. Pozzi, Matteo (2020): A Journey of Exploration through Infrastructure Systems: from Value of Information to Information Avoidance. Présenté pendant: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.

    https://doi.org/10.2749/seoul.2020.002

  6. Choi, Byeongseong / Pozzi, Matteo / Berges, Mario / Bou-Zeid, Elie (2020): Developing Time-Variant Filter for Meso-Scale Surface Temperature Prediction. Présenté pendant: IABSE Conference: Risk Intelligence of Infrastructures, Seoul, South Korea, 9-10 November 2020.

    https://doi.org/10.2749/seoul.2020.059

  7. Velibeyoglu, Irem / Noh, Hae Young / Pozzi, Matteo (2019): Empirical investigation of regression models for predicting system behavior in air handling units. Dans: Science and Technology for the Built Environment, v. 25, n. 3 (mars 2019).

    https://doi.org/10.1080/23744731.2018.1523660

  8. Kolb, Chelsea / Pozzi, Matteo / Samaras, Constantine / VanBriesen, Jeanne M. (2017): Climate Change Impacts on Bromide, Trihalomethane Formation, and Health Risks at Coastal Groundwater Utilities. Dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 3, n. 3 (septembre 2017).

    https://doi.org/10.1061/ajrua6.0000904

  9. Chong, Adrian / Lam, Khee Poh / Pozzi, Matteo / Yang, Junjing (2017): Bayesian calibration of building energy models with large datasets. Dans: Energy and Buildings, v. 154 (novembre 2017).

    https://doi.org/10.1016/j.enbuild.2017.08.069

  10. Velibeyoglu, Irem / Noh, Hae Young / Pozzi, Matteo (2019): A graphical approach to assess the detectability of multiple simultaneous faults in air handling units. Dans: Energy and Buildings, v. 184 (février 2019).

    https://doi.org/10.1016/j.enbuild.2018.12.008

  11. Memarzadeh, Milad / Pozzi, Matteo (2016): Integrated Inspection Scheduling and Maintenance Planning for Infrastructure Systems. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 31, n. 6 (mai 2016).

    https://doi.org/10.1111/mice.12178

  12. Malings, Carl / Pozzi, Matteo / Klima, Kelly / Berges, Mario / Bou-Zeid, Elie / Ramamurthy, Prathap (2018): Surface heat assessment for developed environments: Optimizing urban temperature monitoring. Dans: Building and Environment, v. 141 (août 2018).

    https://doi.org/10.1016/j.buildenv.2018.05.059

  13. Li, Shuo / Pozzi, Matteo (2019): What makes long-term monitoring convenient? A parametric analysis of value of information in infrastructure maintenance. Dans: Structural Control and Health Monitoring, v. 26, n. 5 (avril 2019).

    https://doi.org/10.1002/stc.2329

  14. Memarzadeh, Milad / Pozzi, Matteo (2019): Model-free reinforcement learning with model-based safe exploration: Optimizing adaptive recovery process of infrastructure systems. Dans: Structural Safety, v. 80 (septembre 2019).

    https://doi.org/10.1016/j.strusafe.2019.04.003

  15. Memarzadeh, Milad / Pozzi, Matteo / Zico Kolter, J. (2015): Optimal Planning and Learning in Uncertain Environments for the Management of Wind Farms. Dans: Journal of Computing in Civil Engineering, v. 29, n. 5 (septembre 2015).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000390

  16. Tien, Iris / Pozzi, Matteo / Der Kiureghian, Armen (2016): Probabilistic framework for assessing maximum structural response based on sensor measurements. Dans: Structural Safety, v. 61 (juillet 2016).

    https://doi.org/10.1016/j.strusafe.2016.03.003

  17. Malings, Carl / Pozzi, Matteo (2016): Conditional entropy and value of information metrics for optimal sensing in infrastructure systems. Dans: Structural Safety, v. 60 (mai 2016).

    https://doi.org/10.1016/j.strusafe.2015.10.003

  18. Bernal, Dionisio / Zonta, Daniele / Pozzi, Matteo (2012): ARX residuals in damage detection. Dans: Structural Control and Health Monitoring, v. 19, n. 4 (juin 2012).

    https://doi.org/10.1002/stc.452

  19. Pozzi, Matteo / Der Kiureghian, Armen (2015): Response spectrum analysis for floor acceleration. Dans: Earthquake Engineering and Structural Dynamics, v. 44, n. 12 (10 octobre 2015).

    https://doi.org/10.1002/eqe.2583

  20. Zonta, Daniele / Pozzi, Matteo / Zanon, Paolo (2008): Managing the Historical Heritage Using Distributed Technologies. Dans: International Journal of Architectural Heritage, v. 2, n. 3 (août 2008).

    https://doi.org/10.1080/15583050802063691

  21. Pozzi, Matteo / Wang, Qiaochu (2018): Gaussian Process Regression and Classification for Probabilistic Damage Assessment of Spatially Distributed Systems. Dans: KSCE Journal of Civil Engineering, v. 22, n. 3 (mars 2018).

    https://doi.org/10.1007/s12205-018-0014-x

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