Federico Papa
Orcid: 0000-0002-0263-5697
According to our database1,
Federico Papa
authored at least 24 papers
between 2010 and 2024.
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Bibliography
2024
Modeling and Optimal Control for Resource Allocation in the Epidemic Monitoring of a Multi-group Population.
SN Comput. Sci., January, 2024
Optimizing restrictions in epidemics via piecewise time-varying SIRD models: Application to the COVID-19 Italian emergency.
Eur. J. Control, January, 2024
2023
Parameter Identification in Metabolic Reaction Networks by Means of Multiple Steady-State Measurements.
Symmetry, February, 2023
2022
The Stochastic Approach for SIR Epidemic Models: Do They Help to Increase Information from Raw Data?
Symmetry, 2022
StaRTrEK: in silico estimation of RNA half-lives from genome-wide time-course experiments without transcriptional inhibition.
BMC Bioinform., 2022
Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment.
Proceedings of the Advances in System-Integrated Intelligence, 2022
Proceedings of the 19th International Conference on Informatics in Control, 2022
2021
Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population.
IEEE J. Biomed. Health Informatics, 2021
Optimal design of lock-down and reopening policies for early-stage epidemics through SIR-D models.
Annu. Rev. Control., 2021
A multi-group epidemic model to represent the COVID-19 spread among regions: analysis of the Italian case.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Applications of Nonlinear Programming to the Optimization of Fractionated Protocols in Cancer Radiotherapy.
Inf., 2020
2019
Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support.
Proceedings of the 6th International Conference on Models and Technologies for Intelligent Transportation Systems, 2019
2018
Big Data Res., 2018
2017
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout.
IEEE Trans. Syst. Man Cybern. Syst., 2017
An Integrated Model Quantitatively Describing Metabolism, Growth and Cell Cycle in Budding Yeast.
Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017
2016
J. Rail Transp. Plan. Manag., 2016
Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics.
Proceedings of the Advances in Big Data, 2016
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2013
Estimate accuracy versus measurement cost saving in continuous time linear filtering problems.
J. Frankl. Inst., 2013
2011
Comput. Math. Appl., 2011
2010
A Model of the Tumour Spheroid Response to Radiation - Identifiability Analysis.
Proceedings of the BIOSIGNALS 2010, 2010