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Bazyleva, V., Garibay, V. M., & Roy, D. (2023). Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold. In International Conference on Computational Science (pp. 583-597)
Dupont, C., & Roy, D. (2023). Manifold Analysis for High-Dimensional Socio-Environmental Surveys. In International Conference on Computational Science (pp. 25-39)
Mutlu, A., Roy, D., & Filatova, T. (2023). Capitalized value of evolving flood risks discount and nature-based solution premiums on property prices. Ecological Economics, 205, [107682]. https://doi.org/10.1016/j.ecolecon.2022.107682
Nottrot, B., Folmer, E., Roy, D., Scheer, B., & Merx, P. (2023). Multi-unit building address geocoding: An approach without indoor location reference data. Transactions in GIS, n/a(n/a). https://doi.org/10.1111/tgis.13017
2021
Ghaffarian, S., Roy, D., Filatova, T., & Kerle, N. (2021). Agent-based modelling of post-disaster recovery with remote sensing data. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102285
Roy, D., Bernal, D., & Lees, M. (2020). An exploratory factor analysis model for slum severity index in Mexico City. Urban Studies, 57(4), 789-805. https://doi.org/10.1177/0042098019869769[details]
Taberna, A., Filatova, T., Roy, D., & Noll, B. (2020). Tracing resilience, social dynamics and behavioral change: a review of agent-based flood risk models. Socio-Environmental Systems Modelling, 2, [17938]. https://doi.org/10.18174/sesmo.2020a17938[details]
Ranguelova, E., Weel, B., Roy, D., Kuffer, M., Pfeffer, K., & Lees, M. (2019). Image Based Classification of Slums, Built-Up and Non-Built-Up Areas in Kalyan and Bangalore, India. European Journal of Remote Sensing, 52(S1), 40-61. https://doi.org/10.1080/22797254.2018.1535838[details]
Wang, J., Kuffer, M., Roy, D., & Pfeffer, K. (2019). Deprivation pockets through the lens of convolutional neural networks. Remote Sensing of the Environment, 234, [111448]. https://doi.org/10.1016/j.rse.2019.111448[details]
Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2018). Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru. Cities : The International Journal of Urban Policy and Planning, 74, 269-276. https://doi.org/10.1016/j.cities.2017.12.014[details]
Roy, D., Palavalli, B., Menon, N., King, R., Pfeffer, K., Lees, M., & Sloot, P. M. A. (2018). Survey-based socio-economic data from slums in Bangalore, India. Scientific Data, 5, [170200]. https://doi.org/10.1038/sdata.2017.200[details]
King, R., Palavalli, B., Roy, D., Menon, N., Sloot, P. M. A., Pfeffer, K. & Lees, M. (2017). Socio-economic data from slums in Bangalore, India. UK Data Archive. https://doi.org/10.5255/ukda-sn-852705
2017
Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2017). Modelling the impact of household life cycle on slums in Bangalore. Computers, Environment and Urban Systems, 64, 275-287. https://doi.org/10.1016/j.compenvurbsys.2017.03.008[details]
2014
Roy, D., Lees, M. H., Palavalli, B., Pfeffer, K., & Sloot, M. A. P. (2014). The emergence of slums: A contemporary view on simulation models. Environmental Modelling & Software, 59, 76-90. https://doi.org/10.1016/j.envsoft.2014.05.004[details]
2018
Roy, D. (2018). Data-driven modelling of slum dynamics in Bangalore using an integrated discrete-choice agent-based framework. 373-374. Abstract from Conference on Complex Systems 2018, Thessaloniki, Greece.
Roy, D. (2018). Understanding slum emergence and migration using an agent-based model. 1-2. Abstract from 9th International Congress on Environmental Modelling and Software, Fort Collins, United States.
Vasconcelos, V. V. (organiser), Roy, D. (organiser), Krueger, E. (organiser), Pinheiro, F. L. (organiser), Stewart, A. J. (organiser), Garibay, V. (organiser), Teixeira, A. (organiser), Leng, Y. (organiser), Lees, M. (member of programme committee), Kawakatsu, M. (member of programme committee), Nespeca, V. (member of programme committee), Mittal, D. (member of programme committee), Dignum, E. (member of programme committee), Mengesha, I. (member of programme committee), Alpalhão, N. (member of programme committee), Candia, C. (member of programme committee) & Pilatti, G. (member of programme committee) (3-7-2023 - 5-7-2023). Computational Social Complexity Track at ICCS 2023, Prague. Thematic Track at the International Conference on Computational Social Science 2023 (organising a conference, workshop, ...). https://sites.google.com/view/cscx-track-2023/
2017
King, R., Palavalli, B., Roy, D., Menon, N., Sloot, P. M. A., Pfeffer, K. & Lees, M. (2017). Socio-economic data from slums in Bangalore, India. UK Data Archive. https://doi.org/10.5255/ukda-sn-852705
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