Publications

  • Aslan I., De Marchi S., Erb W. (2024). Lp-convergence of Kantorovich-type Max-Min neural network operators. arXiv:2407.03329.    
  • Bandiziol C., De Marchi S. (2024). Persistence symmetric kernels for classification: A comparative study. Symmetry 16(9), 1236.    
  • Bandiziol C., De Marchi S., Allegra M. (2025). On the intrinsic dimension of point clouds by a persistent homology approach: Computational tips. Modern Mathematical Methods 3(3), 171-184.    
  • Brunetti N., Campi C., Biddau G., et al. (2024). Radiomic and clinical model for predicting atypical ductal hyperplasia upgrades and potentially reducing unnecessary surgical treatments. European Journal of Radiology 181, 111799.    
  • Bruni Bruno L., Cappellazzo G., Erb W., Karimnejad Esfahani M. (2026). Scattered data histopolation in averaging kernel Hilbert spaces. arXiv:2601.07967.    
  • Bruni Bruno L., Dell’Accio F., Erb W., Nudo F. (2025). Bivariate polynomial histopolation techniques on Padua, Fekete and Leja triangles. arXiv:2506.03025.    
  • Bruni Bruno L., Dell’Accio F., Erb W., Nudo F. (2025). Polynomial histopolation on mock-Chebyshev segments. Journal of Scientific Computing 104, 65.    
  • Bruni Bruno L., Erb W. (2024). Polynomial interpolation of function averages on interval segments. SIAM Journal on Numerical Analysis 62(4), 1759-1781.    
  • Bruni Bruno L., Erb W. (2025). The Fekete problem in segmental polynomial interpolation. BIT Numerical Mathematics 65, Art. 3.    
  • Cama I., Guzmán Requena A., Campi C., Piana M., Lekadir K., Garbarino S., Diaz O. (2025). Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using magnetic resonance imaging. Journal of Medical Imaging 12, 054501.    
  • Cama I., Piana M., Campi C., Garbarino S. (2025). Probabilistic approach to longitudinal response prediction: Application to radiomics from brain cancer imaging. arXiv:2505.07973.    
  • Carini L., Furci I., Sommariva S. (2026). Sparse optimization for estimating the cross-power spectrum in linear inverse models: From theory to application in brain connectivity. Journal of Optimization Theory and Applications. Accepted.    
  • Dell’Accio F., Guessab A., Milovanović G.V., Nudo F. (2025). Reconstructing algebraic functions from a nonconforming exponential weighted enriched finite element. Journal of Computational and Applied Mathematics 466, 116603.    
  • Dell’Accio F., Guessab A., Milovanović G.V., Nudo F. (2025). Truncated Gegenbauer-Hermite weighted approach for the enrichment of the Crouzeix-Raviart finite element. BIT Numerical Mathematics 65, 24.    
  • Dell’Accio F., Marcellán F., Nudo F. (2025). A quadrature formula on triangular domains via an interpolation-regression approach. Applied Mathematics Letters 163, 109414.    
  • Dell’Accio F., Marcellán F., Nudo F. (2025). Constrained mock-Chebyshev least squares approximation for Hermite interpolation. Numerical Algorithms. https://doi.org/10.1007/s11075-025-02051-7.    
  • Dell’Accio F., Mezzanotte D., Nudo F., Occorsio D. (2026). New results on the constrained mock-Chebyshev least squares operator. Journal of Computational and Applied Mathematics 473, 116859.    
  • Dell’Accio F., Guessab A., Nudo F. (2024). New quadratic and cubic polynomial enrichments of the Crouzeix-Raviart finite element. Computers and Mathematics with Applications 170, 204-212.    
  • De Marchi S., Dell’Accio F., Nudo F. (2024). A mixed interpolation-regression approximation operator on the triangle. Dolomites Research Notes on Approximation 17, 33-44.    
  • Erb W. (2026). Split-and-merge segmentation of biomedical images using graph wedgelet decompositions. In: Gervasi O., et al. (Eds.), Computational Science and Its Applications - ICCSA 2025 Workshops, Lecture Notes in Computer Science, vol. 15899. Springer, Cham, pp. 252–263.    
  • Karimnejad Esfahani M., Cama I., Marchetti F., De Marchi S., Campi C. (2026) A variably scaled moving least squares approach for improving resolution in magnetic resonance imaging, in preparation    
  • Mapelli A., Carini L., Ieva F., Sommariva S. (2026). A neighbour selection approach for identifying differential networks in conditional functional graphical models. arXiv:2601.02292.    
  • Nudo F. (2024). A general quadratic enrichment of the Crouzeix-Raviart finite element. Journal of Computational and Applied Mathematics 451, 116112.    
  • Nudo F. (2024). Two one-parameter families of nonconforming enrichments of the Crouzeix-Raviart finite element. Applied Numerical Mathematics 203, 160-172.    
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