Publications

1. P.E. Calabrese, R. Campagna and C. Conti, "An algorithm for locally adaptive bivariate penalized splines", Journal of Computational and Applied Mathematics (2026), doi: https://doi.org/10.1016/j.cam.2025.117201

2. Magistris, A.D., Romano, E. & Campagna, R., "Adaptive Generalized P-Splines for Functional Data: A Statistical Framework via Blockwise GSVD" (2025)  Stat Comput 35, 203, https://doi.org/10.1007/s11222-025-10734-3

3. V. Bruni, R. Campagna, M. Tartaglione and D. Vitulano, "Instantaneous Frequency Estimation via Spectrogram Projection and P-Spline Approximation," in IEEE Signal Processing Letters, vol. 32, pp. 3725-3729, 2025,https://doi.org/10.1109/LSP.2025.3610345. 

4. Campagna R., Crisci S., Santin G., Toraldo G., Viola M., “An algorithm for a constrained P-spline” (2025) BIT Numerical Mathematics, 65 (2), https://doi.org/10.1007/s10543-025-01071-y

5. Bruni, V., Campagna, R., Vitulano, D., (2025) "Multicomponent signals interference detection exploiting HP-splines frequency parameter",  Applied Numerical Mathematics, 2025, 209, pp. 20–37, https://doi.org/10.1016/j.apnum.2024.11.004.

6. Campagna, R., Cotronei, M., Fazzino, D., (2025) "A Hermite spline model for data regression", Mathematics and Computers in Simulation, Volume 229, Pages 222-234, ISSN 0378-4754, https://doi.org/10.1016/j.matcom.2024.09.011.

7. Campagna, R., Conti, C., Cuomo, S., (2023) "A linear algebra approach to HP-splines frequency parameter selection", Applied Mathematics and Computation, Volume 458, 1 December 2023, 128241, https://doi.org/10.1016/j.amc.2023.128241.

8. Campagna, R., De Marchi, S., Perracchione, E., Santin, G., (2022) "Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms", Advances in Computational Mathematics 48, 69. https://doi.org/10.1007/s10444-022-09986-8

9. Campagna, R., Conti, C., (2022) "Reproduction capabilities of penalized hyperbolic-polynomial splines", Applied Mathematics Letters, Volume 132, 2022, 108133, ISSN 0893-9659, https://doi.org/10.1016/j.aml.2022.108133.

10. Fuda, C., Campagna, R. & Hormann, K. (2022) "On the numerical stability of linear barycentric rational interpolation". Numerische Mathematik, https://doi.org/10.1007/s00211-022-01316-w

11. R. Campagna, E. Perracchione (2021) "Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines", Journal of Scientific Computing, 88, 15. https://doi.org/10.1007/s10915-021-01526-8

12. R. Campagna, C. Conti, (2021) "Penalized hyperbolic-polynomial splines", Applied Mathematics Letters, 107159, ISSN 0893-9659, https://doi.org/10.1016/j.aml.2021.107159.

13. R. Campagna, V. Bayona, S. Cuomo, (2020) "Using local PHS+poly approximations for Laplace Transform Inversion by Gaver-Stehfest algorithm", Dolomites Research Notes on Approximation, Volume 13, Issue 1, pp. 55-64; DOI: 10.14658/PUPJ-DRNA-2020-1-7, URL https://drna.padovauniversitypress.it/2020/1/7

14. R. Campagna, C. Conti, S. Cuomo, (2020) “Computational error bounds for Laplace transform inversion based on smoothing splines”, Applied Mathematics and Computation, Volume 383, 125376, DOI: 10.1016/j.amc.2020.125376

15. R. Campagna, S. Cuomo, S. De Marchi, E. Perracchione, G. Severino (2020) “A stable meshfree PDE solver for source-type flows in porous media”, Applied Numerical Mathematics, 149, pp. 30-42, DOI: 10.1016/j.apnum.2019.08.015.

16. R. Campagna, A. Romano, A. Raiola, P. Masi, G. Toraldo, S. Cavella (2020) “Effects of UVC treatment on re-milled semolina dough and data - driven analysis of leavening process”, Food and Bioproducts Processing Volume 119, January 2020, Pages 31-37, https://doi.org/10.1016/j.fbp.2019.10.009. 

17. R. Campagna, C. Conti, S. Cuomo (2019) “Smoothing exponential-polynomial splines for multiexponential decay data” Dolomites Research Notes on Approximation, Volume 12, Issue 1, pp. 86-100; DOI: 10.14658/pupj-drna-2019-1-9

18. L. D’Amore, V. Mele, R. Campagna (2018) “Quality assurance of Gaver’s formula for multi-precision Laplace transform inversion in real case”, Inverse Problems in Science and Engineering, 26(4), pp.553-580, DOI: 10.1080/17415977.2017.1322963.

19. R. Campagna, S. Crisci, S. Cuomo, L. Marcellino, G. Toraldo (2017) “Modification of TV-ROF denoising model based on Split Bregman iterations”, In Applied Mathematics and Computation, Volume 315, Pages 453-467, ISSN 0096-3003, DOI: 10.1016/j.amc.2017.08.001.

20. R. Campagna, S. Cuomo, F. Giannino, G. Severino, G. Toraldo (2017) “A Semi-Automatic Numerical Algorithm for Turing Patterns Formation in a Reaction-Diffusion Model” IEEE Access - Open Access, Volume 6, Pages 4720-4724, DOI: 10.1109/ACCESS.2017.2780324

21. G. B. Barone, V. Boccia, D. Bottalico, R. Campagna, L. Carracciuolo, G. Laccetti, M. Lapegna (2017) “An Approach to Forecast Queue Time in Adaptive Scheduling: How to Mediate System Efficiency and Users Satisfaction”, International Journal of Parallel Programming, 45: pp 1164–1193. https://doi.org/10.1007/s10766-016-0457-y.   

22. G. Severino, R. Campagna, D. M. Tartakovsky (2017) “An analytical model for carrier-facilitated solute transport in weakly heterogeneous porous media”, In Applied Mathematical Modelling, Volume 44, Pages 261-273, ISSN 0307-904X, https://doi.org/10.1016/j.apm.2016.10.064.

23. G. B. Barone, V. Boccia, D. Bottalico, R. Campagna and L. Carracciuolo (2016)  “ScoPE@Scuola: percorsi (in)formativi sulle tematiche del supercalcolo” Mondo Digitale, 15 (64), ISSN: 1720898X.

24. M. Raoofian Naeeni, R. Campagna, M. Eskandari-Ghadi, Alireza A. Ardalan, (2015) “Performance comparison of numerical inversion methods for Laplace and Hankel integral transforms in engineering problems”, In Applied Mathematics and Computation, Volume 250, Pages 759-775, ISSN 0096-3003, https://doi.org/10.1016/j.amc.2014.10.102.

25. L. D’Amore, R. Campagna, V. Mele, and A. Murli (2014) “Algorithm 946: ReLIADiff—A C++ Software Package for Real Laplace Transform Inversion based on Algorithmic Differentiation”, ACM Trans. Math. Softw. 40, 4, Article 31, 20 pages. DOI: https://doi.org/10.1145/2616971.

26. L. D’Amore, R. Campagna, V. Mele and A. Murli (2013) “ReLaTIve. An Ansi C90 software package for the Real Laplace Transform Inversion” Numerical Algorithms, vol. 63, Is.1, pp.187-211, DOI: 10.1007/s11075-012-9636-0, ISSN 1017-1398(Print), ISSN 1572-9265(Online).

27. L. D’Amore, R. Campagna, A. Galletti, L. Marcellino and A. Murli (2012) “A smoothing spline that approximates Laplace transform functions only known on measurements on the real axis” Inverse Problems Vol. 28, Issue 2 (pp:1-37), DOI:10.1088/0266-5611/28/2/025007, ISSN: 0266-5611.

28. L. D’Amore, R. Campagna, L. Carracciuolo, L. Marcellino (2012) “A PETSc Based Parallel Software for Simulations of the Dynamics of Viscoelastic Flows" Journal of Physical Science and Application 2 (2) 46-55, ISSN 2159-5348.

29. R. Campagna (2008) “Il calcolo numerico dell'antitrasformata di Laplace in presenza di dati discreti”,  La Matematica nella Società e nella Cultura- Rivista della Unione Matematica Italiana, August 2008, serie I, Vol. I, N.2, Fascicolo Tesi di Dottorato, p. 263-266, ISSN: 1972-7356.

30. R. Campagna, L. D’Amore, A. Murli (2007) “An efficient algorithm for regularization of Laplace transform inversion in real case”, In Journal of Computational and Applied Mathematics, Volume 210, Issues 1–2, 2007, Pages 84-98, ISSN 0377-0427, DOI: 10.1016/j.cam.2006.10.077.

1. arXiv:2605.18096 [math.NA] (or arXiv:2605.18096v1 [math.NA] for this version) [ pdf ] https://doi.org/10.48550/arXiv.2605.18096 

A regularization method for planar offset curves and bi-offset recognition, Authors: Rosanna Campagna, Salvatore Mondrone, Tomas Sauer

2. arXiv:2604.20991 [math.NA] (or arXiv:2604.20991v1 [math.NA]) https://doi.org/10.48550/arXiv.2604.20991 [ pdf ] Accuracy and stability of Artificial Neural Networks for HP-Splines frequency parameter selection,  Authors: Vittoria Bruni, Paola Erminia Calabrese, Rosanna Campagna, and Domenico Vitulano 

3. arXiv:2202.06678 [ pdf] Reproduction Capabilities of Penalized Hyperbolic-polynomial Splines, Authors: Rosanna Campagna, Costanza Conti,  [Submitted on 14 Feb 2022].

4. arXiv:2109.14299  [pdf]  Greedy algorithms for learning via exponential-polynomial splines, Authors: Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin, [Submitted 29 September, 2021].

5. arXiv:2012.12552  [pdf, ps, other] Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines, Authors: Rosanna Campagna, Emma Perracchione, [Submitted on 23 Dec 2020]

Book Chapters

1. R. Campagna, G. Laccetti, G. Severino (2017) “The HPC ReCaS Infrastructure towards the Simulation of Subsurface Hydrological Processes” Chapter 31 in book: High Performance Scientific Computing Using Distributed Infrastructures - Merola L., Andronico G., Bellotti R., De Nardo G., Laccetti G., Maggi G., Russo G., Silvestris L., Tangaro S., Tassi E. (eds.) - Casa editrice: World Scientific Publishing, pp.371-387 – ISBN: 978-981-4759-70-0, DOI: 10.1142/9789814759717_0031. 

2. G. B. Barone, V. Boccia, D. Bottalico, R. Campagna and L. Carracciuolo (2017) “User Recruitment and Support: A Viral Marketing Approach Based on the Word-of-Mouth Influence” Chapter 11 in book: High Performance Scientific Computing Using Distributed Infrastructures – Merola L., Andronico G., Bellotti R., De Nardo G., Laccetti G., Maggi G., Russo G., Silvestris L., Tangaro S., Tassi E. (eds.) - Casa editrice: World Scientific Publishing, pp.117-126 –  ISBN: 978-981-4759-70-0, DOI: 10.1142/9789814759717_0011.

3.  R. Campagna, L. D’Amore, A. Galletti, A. Murli and M. Rizzardi (2009) “On the Numerical Approximation of the Laplace Transform Function from Real Samples and Its Inversion" G. Kreiss et al. (eds.), Numerical Mathematics and Advanced Applications 2009, Springer-Verlag Berlin Heidelberg 2010, Part 2, 209-216, DOI: 10.1007/978-3-642-11795-4_21, ISBN: 978-3-642-11794-7 (Print) 978-3-642-11795-4 (Online).

Conference proceedings

1. R. Campagna and E. Perracchione, "Feature augmentation for numerical inversion of multi-exponential decay curves" (2022), AIP Conference Proceedings 2425, 050004  https://doi.org/10.1063/5.0081505

2. R. Campagna, C. Conti, S. Cuomo, “A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial Splines” (2020), Lecture Notes in Computer Science 11973 LNCS, pp. 11-18 

3. A. Romano, R. Campagna, P., Masi, G., Toraldo, “NMR Data Analysis of Water Mobility in Wheat Flour Dough: A Computational Approach”(2020), Lecture Notes in Computer Science 11973 LNCS, pp. 146-157

4. Romano, R. Campagna, P. Masi, S. Cuomo, G. Toraldo (2018) “Data-Driven Approaches to Predict States in a Food Technology Case Study”, 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI), Palermo, 2018, pp. 1-5, doi: 10.1109/RTSI.2018.8548426  

5. R. Campagna, M. Brancaccio, S.Cuomo, S. Mazzoleni, L. Russo, K. Siettos and F. Giannino (2017) “Numerical approaches to model perturbation fire in turing pattern formations” AIP Conference Proceedings 1906, 100011 (2017); DOI: 10.1063/1.5012381

6. R. Campagna, S. Cuomo, S. Leveque, G. Toraldo, F. Giannino, G. Severino (2017) “Some remarks on the numerical solution of parabolic partial differential equations” AIP Conference Proceedings 1906, 100008 (2017); DOI: 10.1063/1.5012378 

7. S. Cuomo, R. Campagna, V. Di Somma, G. Severino (2017) “Numerical Remarks on the Estimation of the Option Price”, Proceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016, November 28 - December 1, 2016 - Naples, Italy, DOI: 10.1109/SITIS.2016.123.

8. R. Campagna, S. Crisci, S. Cuomo, A. Galletti and L. Marcellino (2016) “A second order derivative scheme based on Bregman algorithm class”, AIP Conf. Proc. 1776, 040007; DOI: 10.1063/1.4965319. 

9. R. Campagna, S. Crisci, S. Cuomo, P. De Michele, A. Galletti, L. Marcellino and A. Murano (2016) “A novel Split Bregman algorithm for MRI denoising task in an e-Health system”, ACM International Conference Proceeding Series of the 9th PETRA Conference, June 29 - July 01, 2016, Corfu Island, Greece, ISBN 978-1-4503-4337-4/16/06; DOI: 10.1145/2910674.2910692.

10. G. B. Barone, V. Boccia, D. Bottalico, R. Campagna, L. Carracciuolo, G. Laccetti (2015) “An Approach to Model Resources Rationalisation in Hybrid Clouds through Users Activity Characterisation” in Proceedings of “FUTURE COMPUTING 2015.” The Seventh International Conference on Future Computational Technologies and Applications, March 22 - 27, 2015 - Nice, France, pp. 48-53, Publication date: March 22, 2015, ISSN: 2308-3735 ISBN: 978-1-61208-389-6.