AALTO, A., LAMOLINE, F., & GONCALVES, J. (01 July 2022). Linear system identifiability from single-cell data. Systems and Control Letters, 165, 105287. doi:10.1016/j.sysconle.2022.105287 Peer Reviewed verified by ORBi |
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 |
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 |
KEMP, F., PROVERBIO, D., AALTO, A., MOMBAERTS, L., FOUQUIER DU0027HEROUËL, 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 |
WILMES, P., ZIMMER, J., Schulz, J., Glod, F., Veiber, L., MOMBAERTS, L., Rodrigues, B., AALTO, A., Pastore, J., Snoeck, C. J., OLLERT, M., FAGHERAZZI, G., MOSSONG, J., GONCALVES, J., SKUPIN, A., & NEHRBASS, U. (2021). SARS-CoV-2 transmission risk from asymptomatic carriers: Results from a mass screening programme in Luxembourg. The Lancet Regional Health. Europe, 4, 100056. doi:10.1016/j.lanepe.2021.100056 Peer Reviewed verified by ORBi |
AALTO, A., Viitasaari, L., Ilmonen, P., MOMBAERTS, L., & GONCALVES, J. (13 July 2020). Gene regulatory network inference from sparsely sampled noisy data. Nature Communications, 11, 3493. doi:10.1038/s41467-020-17217-1 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: |
AALTO, A., & GONCALVES, J. (2019). Linear system identification from ensemble snapshot observations. Proceedings of the IEEE Conference on Decision and Control, 7554-7559. doi:10.1109/CDC40024.2019.9029334 Peer reviewed |
MOMBAERTS, L., AALTO, A., MARKDAHL, J., & GONCALVES, J. (2019). A multifactorial evaluation framework for gene regulatory network reconstruction. Foundations of Systems Biology in Engineering. doi:10.1016/j.ifacol.2019.12.268 Peer reviewed |
AALTO, A. (20 June 2018). Convergence of discrete-time Kalman filter estimate to continuous-time estimate for systems with unbounded observation. Mathematics of Control, Signals and Systems, 30 (3), 9. doi:10.1007/S00498-018-0214-4 Peer Reviewed verified by ORBi |
AALTO, A. (29 March 2018). Spatial discretization error in Kalman filtering for discrete-time infinite dimensional systems. IMA Journal of Mathematical Control and Information, 35 (suppl_1), 51-i72. doi:10.1093/imamci/dnx015 Peer Reviewed verified by ORBi |
Murtola, T., AALTO, A., Malinen, J., Aalto, D., & Vainio, M. (01 March 2018). Modal Locking Between Vocal Fold Oscillations and Vocal Tract Acoustics. Acta Acustica United with Acustica, 104 (2), 323-337. doi:10.3813/AAA.919175 Peer Reviewed verified by ORBi |
AALTO, A., & GONCALVES, J. (2018). Bayesian variable selection in linear dynamical systems. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/34996. |
AALTO, A. (2018). Iterative observer-based state and parameter estimation for linear systems. ESAIM: Control, Optimisation and Calculus of Variations, 24 (1), 265-288. doi:10.1051/cocv/2017005 Peer Reviewed verified by ORBi |
AALTO, A. (2016). Convergence of discrete time Kalman filter estimate to continuous time estimate. International Journal of Control, 89 (4), 668-679. doi:10.1080/00207179.2015.1090017 Peer reviewed |
AALTO, A. (2016). Output error minimizing back and forth nudging method for initial state recovery. Systems and Control Letters, 94, 111-117. doi:10.1016/j.sysconle.2016.06.002 Peer reviewed |
AALTO, A., Lukkari, T., & Malinen, J. (2015). Acoustic wave guides as infinite-dimensional dynamical systems. ESAIM: Control, Optimisation and Calculus of Variations, 21 (2), 324-347. doi:10.1051/cocv/2014019 Peer reviewed |
AALTO, A., & Malinen, J. (2013). Composition of passive boundary control systems. Mathematical Control and Related Fields, 3 (1), 1-19. doi:10.3934/mcrf.2013.3.1 Peer reviewed |
AALTO, A., Aalto, D., Malinen, J., & Vainio, M. (2011). Interaction of vocal fold and vocal tract oscillations. In Proceedings of the 24th Nordic Seminar on Computational Mechanics (pp. 186-289). Peer reviewed |
AALTO, A., & Malinen, J. (2011). Wave propagation in networks: a system theoretic approach. In Proceedings of the 18th World Congress of the IFAC (pp. 8854-8859). Peer reviewed |
AALTO, A., Alku, P., & Malinen, J. (2009). A LF-pulse from a simple glottal flow model. In Proceedings of the 6th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (pp. 199-202). Peer reviewed |