Profil

PROVERBIO Daniele

Main Referenced Co-authors
GONCALVES, Jorge  (12)
SKUPIN, Alexander  (7)
HUSCH, Andreas  (6)
KEMP, Francoise  (6)
MAGNI, Stefano  (6)
Main Referenced Keywords
Critical transitions (3); Complex systems (2); COVID-19 (2); Decentralized gathering (2); Deep Brain Stimulation (2);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB) (3)
Luxembourg Centre for Systems Biomedicine (LCSB): Systems Control (Goncalves Group) (3)
Main Referenced Disciplines
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (7)
Life sciences: Multidisciplinary, general & others (6)
Engineering, computing & technology: Multidisciplinary, general & others (4)
Immunology & infectious disease (1)
Human health sciences: Multidisciplinary, general & others (1)

Publications (total 19)

The most downloaded
267 downloads
Proverbio, D., & Husch, A. (2019). ApproXON: Heuristic Approximation to the E-Field-Threshold for Deep Brain Stimulation Volume-of-Tissue-Activated Estimation. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/41183. doi:10.1101/863613 https://hdl.handle.net/10993/41183

The most cited

22 citations (Scopus®)

Baniasadi, M., Proverbio, D., Goncalves, J., Hertel, F., & Husch, A. (2020). FastField: An Open-Source Toolbox for Efficient Approximation of Deep Brain Stimulation Electric Fields. NeuroImage. doi:10.1016/j.neuroimage.2020.117330 https://hdl.handle.net/10993/42949

PROVERBIO, D., SKUPIN, A., & GONCALVES, J. (21 July 2023). Systematic analysis and optimization of early warning signals for critical transitions using distribution data. iScience, 26 (7), 107156. doi:10.1016/j.isci.2023.107156
Peer Reviewed verified by ORBi

Heino, M., Proverbio, D., Marchand, G., Resnicow, K., & Hankonen, N. (2022). Attractor landscapes: a unifying conceptual model for understanding behaviour change across scales of observation. Health Psychology Review. doi:10.1080/17437199.2022.2146598
Peer Reviewed verified by ORBi

Montanari, A., Freitas, L., Proverbio, D., & Goncalves, J. (December 2022). Functional observability and subspace reconstruction in nonlinear systems. Physical Review Research, 4, 043195. doi:10.1103/PhysRevResearch.4.043195
Peer reviewed

Proverbio, D. (2022). Classification and detection of Critical Transitions: from theory to data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52639doi:10.13140/RG.2.2.32772.40326

Baniasadi, M., Husch, A., Proverbio, D., fernandes arroteia, I., Hertel, F., & Goncalves, J. (2022). Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data. In Bildverarbeitung für die Medizin 2022. Springer. doi:10.1007/978-3-658-36932-3_62
Peer reviewed

Proverbio, D., Kemp, F., Magni, S., Ogorzaly, L., Cauchie, H.-M., Goncalves, J., Skupin, A., & Aalto, A. (2022). Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis. Science of the Total Environment, 827, 154235. doi:10.1016/j.scitotenv.2022.154235
Peer Reviewed verified by ORBi

Proverbio, D., Noronha Montanari, A., Skupin, A., & Goncalves, J. (2022). Buffering variability in cell regulation motifs close to criticality. Physical Review. E. doi:10.1103/PhysRevE.106.L032402
Peer Reviewed verified by ORBi

Proverbio, D., Kemp, F., Magni, S., & Goncalves, J. (2022). Performance of early warning signals for disease re-emergence: A case study on COVID-19 data. PLoS Computational Biology, 18 (3), 1009958. doi:10.1371/journal.pcbi.1009958
Peer Reviewed verified by ORBi

Proverbio, D. (2022). On regime shifts in biological research [Paper presentation]. DPCS Presentations Workshop 2022, Belval, Luxembourg.

Burzynski, Machado, J., Aalto, A., Beine, M., Haas, T., Kemp, F., Magni, S., Mombaerts, L., Picard, P. M., Proverbio, D., Skupin, A., & Docquier, F. (December 2021). COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach. Economics and Human Biology, 43, 101051. doi:10.1016/j.ehb.2021.101051
Peer Reviewed verified by ORBi

Markdahl, J., Proverbio, D., Mi, L., & Goncalves, J. (20 August 2021). Almost global convergence to practical synchronization in the generalized Kuramoto model on networks over the n-sphere. Communications Physics, 4. doi:10.1038/s42005-021-00689-y
Peer Reviewed verified by ORBi

Kemp, F., Proverbio, D., Aalto, A., Mombaerts, L., Fouquier d'herouël, A., Husch, A., Ley, C., Goncalves, J., Skupin, A., & Magni, S. (2021). Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden. Journal of Theoretical Biology. doi:10.1016/J.JTBI.2021.110874
Peer reviewed

Proverbio, D., Kemp, F., Magni, S., Husch, A., Aalto, A., Mombaerts, L., Skupin, A., Goncalves, J., Ameijeiras-Alonso, J., & Ley, C. (2021). Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks. PLoS ONE, 16 (5), 0252019. doi:10.1371/journal.pone.0252019
Peer Reviewed verified by ORBi

Proverbio, D., Gallo, L., Passalacqua, B., Pellegrino, J., & Maggiora, M. (05 November 2020). Assessing the robustness of decentralized gathering: a multi‐agent approach on micro‐biological systems. Swarm Intelligence, 14, 313–331. doi:10.1007/s11721-020-00186-y
Peer reviewed

Baniasadi, M., Proverbio, D., Goncalves, J., Hertel, F., & Husch, A. (2020). FastField: An Open-Source Toolbox for Efficient Approximation of Deep Brain Stimulation Electric Fields. NeuroImage. doi:10.1016/j.neuroimage.2020.117330
Peer Reviewed verified by ORBi

Proverbio, D., Kemp, F., Magni, S., Husch, A., Aalto, A., Mombaerts, L., Goncalves, J., Skupin, A., Ameijeiras-Alonso, J., & Ley, C. (2020). Assessing suppression strategies against epidemicoutbreaks like COVID-19: the SPQEIR model. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/44206. doi:10.1101/2020.04.22.20075804doi:

Markdahl, J., Proverbio, D., & Goncalves, J. (2020). Robust synchronization of heterogeneous robot swarms on the sphere. In 2020 59th IEEE Conference on Decision and Control (CDC). IEEE. doi:10.1109/CDC42340.2020.9304268
Peer reviewed

Proverbio, D., & Maggiora, M. (2019). Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system model. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/39943.

Proverbio, D., & Husch, A. (2019). ApproXON: Heuristic Approximation to the E-Field-Threshold for Deep Brain Stimulation Volume-of-Tissue-Activated Estimation. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/41183. doi:10.1101/863613

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