Proverbio, Daniele
Proverbio, Daniele
Ingegneria industriale (29/10/12-)
Almost global convergence to practical synchronization in the generalized Kuramoto model on networks over the n-sphere
2021-01-01 Markdahl, J.; Proverbio, D.; Mi, L.; Goncalves, J.
ApproXON: Heuristic approximation to the e-field-threshold for deep brain stimulation volume-of-tissue-activated estimation
2019-01-01 Proverbio, D.; Husch, A.
Assessing the robustness of decentralized gathering: a multi-agent approach on micro-biological systems
2020-01-01 Proverbio, Daniele; Gallo, Luca; Passalacqua, Barbara; Destefanis, Marco; Maggiora, Marco; Pellegrino, Jacopo
Attractor landscapes: a unifying conceptual model for understanding behaviour change across scales of observation
2022-01-01 Heino, M. T. J.; Proverbio, D.; Marchand, G.; Resnicow, K.; Hankonen, N.
Buffering variability in cell regulation motifs close to criticality
2022-01-01 Proverbio, Daniele; Montanari, Arthur N.; Skupin, Alexander; Gonçalves, Jorge
COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach
2020-01-01 Burzynski, M.; Machado, J.; Aalto, A.; Beine, M. A. R.; Goncalves, J.; Haas, T.; Kemp, F.; Magni, S.; Mombaerts, L.; Picard, P. M.; Proverbio, D.; Skupin, A.; Docquier, F.
Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks
2021-01-01 Proverbio, D.; Kemp, F.; Magni, S.; Husch, A.; Aalto, A.; Mombaerts, L.; Skupin, A.; Goncalves, J.; Ameijeiras-Alonso, J.; Ley, C.
Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: A Multi-agent system model
2019-01-01 Proverbio, D.; Maggiora, M.
Fastfield: An open-source toolbox for efficient approximation of deep brain stimulation electric fields
2020-01-01 Baniasadi, M.; Proverbio, D.; Goncalves, J.; Hertel, F.; Husch, A.
Functional observability and subspace reconstruction in nonlinear systems
2022-01-01 Montanari, Arthur N.; Freitas, Leandro; Proverbio, Daniele; Gonçalves, Jorge
Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data
2022-01-01 Baniasadi, M.; Husch, A.; Proverbio, D.; Arroteia, I. F.; Hertel, F.; Goncalves, J.
Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis
2022-01-01 Proverbio, D.; Kemp, F.; Magni, S.; Ogorzaly, L.; Cauchie, H. -M.; Goncalves, J.; Skupin, A.; Aalto, A.
Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden
2021-01-01 Kemp, F.; Proverbio, D.; Aalto, A.; Mombaerts, L.; Fouquier d’Hérouël, A.; Husch, A.; Ley, C.; Gonçalves, J.; Skupin, A.; Magni, S.
Performance of early warning signals for disease re-emergence: A case study on COVID-19 data
2022-01-01 Proverbio, D.; Kemp, F.; Magni, S.; Goncalves, J.
Robust synchronization of heterogeneous robot swarms on the sphere
2020-01-01 Markdahl, J.; Proverbio, D.; Goncalves, J.
Stages of COVID-19 pandemic and paths to herd immunity by vaccination: Dynamical model comparing Austria, Luxembourg and Sweden
2021-01-01 Kemp, F.; Proverbio, D.; Aalto, A.; Mombaerts, L.; Fouquier d’Hérouël, A.; Husch, A.; Ley, C.; Gonçalves, J.; Skupin, A.; Magni, S.
Systematic analysis and optimization of early warning signals for critical transitions using distribution data
2023-01-01 Proverbio, D.; Skupin, A.; Goncalves, J.