Monthly Archives: September 2024
A new MOX Report entitled “An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models” by Patanè, G.; Bortolotti, T.; Yordanov, V.; Biagi, L. G. A.; Brovelli, M. A.; Truong, A. Q; Vantini, S. has appeared in the MOX Report Collection. Check […]
A new MOX Report entitled “Shape-informed surrogate models based on signed distance function domain encoding” by Zhang, L.; Pagani, S.; Zhang, J.; Regazzoni, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/71-2024.pdf Abstract: We propose a non-intrusive method to build surrogate models that approximate the solution […]
A new MOX Report entitled “Sensitivity analysis with a 3D mixed-dimensional code for DC geoelectrical investigations of landfills: synthetic tests” by Panzeri, L.; Fumagalli, A.; Longoni, L.; Papini, M.; Diego, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/70-2024.pdf Abstract: Electrical resistivity tomography is a suitable […]
A new MOX Report entitled ” Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data” by Galliani, G.; Secchi, P.; Ieva, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/69-2024.pdf Abstract: Accurately estimating Origin–Destination matrices is a pressing […]
A new MOX Report entitled “Sign-Flip inference for spatial regression with differential regularization” by Cavazzutti, M.; Arnone, E.; Ferraccioli, F.; Galimberti, C.; Finos, L.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/64-2024.pdf Abstract: We address the problem of performing inference on the linear and […]
A new MOX Report entitled “Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy” by Vitullo, P.; Franco, N.R.; Zunino, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/63-2024.pdf Abstract: Forward uncertainty quantification (UQ) for partial differential equations is a many-query task […]
A new MOX Report entitled ” Modeling Hypoxia Induced Radiation Resistance and the Impact of Radiation Sources ” by Possenti, L.; Vitullo, P.; Cicchetti, A.; Zunino, P.; Rancati, T. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/65-2024.pdf Abstract: Hypoxia contributes significantly to resistance in radiotherapy. Our […]