List of publications of Marco Sciandrone

1.  R. Bisori, M. Lapucci, M. Sciandrone. A study on sequential minimal optimization methods for standard quadratic problems. 4OR, 2021, to appear.
2. Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohort.              F. Ceccarelli, M. Lapucci, A. Sortino, M.Sciandrone et al.                          Joint Bone Spine, 2021, to appear.
3. L. Galli, G. Galvan, T. Levato , C. Liti , V. Piccialli , M. Sciandrone. Football: Discovering elapsing-time bias in the science of success. Chaos, Solitons and Fractals, 2021, to appear.
4. G. Galvan, S. Lucidi, M. Sciandrone. A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints. Computational Optimization and Applications, 2021, to appear.
5. F. Ceccarelli, et al. M. Sciandrone, F. Conti. Comprehensive disease control in systemic lupus erythematosus. Seminars in Arthritis and Rheumatism, 2021, to appear.
6. G.Galvan, M. Lapucci, C.J. Lin, M. Sciandrone.  A Two-Level
   Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems. Journal of Machine Learning Research, Vol. 22, pp. 1-38, 2021.
7. M. Lapucci, T. Levato, M. Sciandrone. Convergent Inexact Penalty Decomposition Methods for Cardinality Constrained Problems.  Journal of Optimization, Theory and Applications, Vol. 188, pp. 473–496, 2021.
8. G. Cocchi, G. Liuzzi, S. Lucidi, M.Sciandrone.
   On the convergence of steepest descent methods for multiobjective optimization.
   Computational Optimization and Applications, Vol. 77, pp. 1-27,  2020.
9. G. Cocchi, T. Levato, G. Liuzzi, M.Sciandrone.
   A concave optimization-based approach for sparse multiobjective programming.
   Optimization Letters, Vol. 14, pp. 535-556, 2020.
10. L. Galli, A. Galligari, M.Sciandrone.
    A Unified Convergence Framework for Nonmonotone Inexact Decomposition Methods.
    Computational Optimization and Applications, Vol. 75, pp. 113–144, 2020.
11. G. Galvan, M. Lapucci, T. Levato, M.Sciandrone.
    An Alternating Augmented Lagrangian method for constrained nonconvex optimization.
    Optimization Methods and Software, Vol. 35, pp. 502-520, 2020.
12. A. Galligari, M.Sciandrone.
    A computational study of path-based methods for optimal traffic assignment with both inelastic and elastic demand.
    Computers and Operations Research, Vol. 103, pp. 158-166, 2019.
13. F. Ceccarelli, M. Sciandrone, C. Perricone, A. Galligari, G. Galvan, T. Levato et al.
    Biomarkers of erosive arthritis in Systemic Lupus Erythematosus: application of machine learning models.
    PLOS ONE, 13(12), 2018.
14. V. Piccialli, M. Sciandrone.
    Nonlinear optimization and Support Vector Machines.
    4OR, invited survey, Vol. 16, pp. 111-149, 2018.
15. G. Cocchi, L. Galli, G. Galvan, M. Sciandrone, M. Cantu, G. Tomaselli.
    Machine learning methods for short-term bid forecasting in the renewable energy market. A case study in Italy.
    Wind Energy, Vol. 21, pp. 357-371, 2018.
16. L. Galli, C. Kanzow, M. Sciandrone.
    A Nonmonotone Trust-Region Method for Generalized Nash Equilibrium Problems with Strong Convergence Properties.
    Computational Optimization and Applications, Vol. 69, pp. 629-652, 2018.
17. G. Cocchi, G. Liuzzi, A. Papini, M. Sciandrone.
    An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints.
    Computational Optimization and Applications, Vol. 69, pp. 267-296, 2018.
18. G. Cocchi, A. Galligari, F. Picca Nicolino, V. Piccialli, F. Schoen, M. Sciandrone.
    Scheduling the Italian National Volleyball Tournament.
    Interfaces, Vol. 48, pp. 271-284, 2018.
19. A. Galligari, M. Sciandrone.
    A convergent and fast path equilibration algorithm for the Traffic Assignment Problem.
    Optimization Methods and Software, Vol. 33, pp. 354–371, 2018.
20. F. Ceccarelli, M. Sciandrone, C. Perricone, G. Galvan, F. Morelli, L. Vicente et al.
    Prediction of chronic damage in Systemic Lupus Erythematosus by using machine-learning models.
    PLOS ONE, 12(3), 2017.
21. L. Bravi, V. Piccialli, M. Sciandrone.
    An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems.
    IEEE Transactions on Neural Networks and Learning Systems, Vol. 28(4), pp. 1005-1010, 2017.
22. T. Bianconcini, M. Sciandrone.
    A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques.
    Optimization Methods and Software, Vol. 31(5), pp. 1008-1035, 2016.
23. C.G. Nucci, P. De Bonis, A. Mangiola, P. Santini, M. Sciandrone, A. Risi, C. Anile.
    Intracranial pressure wave morphological classification: automated analysis and clinical validation.
    Acta Neurochirurgica, pp. 1-8, 2016.
24. L. Grippo, A. Manno, M. Sciandrone.
    Decomposition Techniques for Multi Layer Perceptrons Training.
    IEEE Transactions on Neural Networks and Learning Systems, vol. 27(11), pp. 2146-2159, 2016.
25. T. Bianconcini, G. Liuzzi, B. Morini, M. Sciandrone.
    On the use of iterative methods in cubic regularization for unconstrained optimization.
    Computational Optimization and Applications, vol.60, pp. 35-57, 2015.
26. D. Di Lorenzo, A. Galligari, M. Sciandrone.
    A convergent and efficient decomposition method for the traffic assignment problem.
    Computational Optimization and Applications, vol. 60, pp. 151-170, 2015.
27. L. Bravi, M. Sciandrone.
    An incremental decomposition method for unconstrained optimization.
    Applied Mathematics and Computation, vol. 235, pp. 80-86, 2014.
28. A. Cassioli, D. Di Lorenzo, M. Sciandrone.
    On the convergence of inexact block coordinate descent methods for constrained optimization.
    European Journal of Operational Research, vol. 231, pp. 274-281, 2013.
29. D. Di Lorenzo, M. Passacantando, M. Sciandrone.
    A convergent inexact solution method for equilibrium problems.
    Optimization Methods and Software, vol. 29, pp. 979-991, 2014.
30. A. Cassioli, A. Chiavaioli, C. Manes, M. Sciandrone.
    An incremental least squares algorithm for large scale linear classification.
    European Journal of Operational Research, vol. 224, pp. 560-565, 2013.
31. D. Di Lorenzo, G. Liuzzi, F. Rinaldi, F. Schoen, M. Sciandrone.
    A concave optimization-based approach for sparse portfolio selection.
    Optimization Methods and Software, vol. 27, pp. 983-1000, 2012.
32. G. Liuzzi, S. Lucidi, M. Sciandrone.
    Sequential penalty derivative-free methods for nonlinear constrained optimization.
    SIAM Journal on Optimization, vol. 20, pp.2814-2835, 2010.
33. F. Facchinei, V. Piccialli, M. Sciandrone.
    Decomposition Algorithms for Generalized Potential Games.
    Computational Optimization and Applications, vol. 50, pp. 237-262, 2011.
34. A. Cassioli, D. Di Lorenzo, M. Locatelli, F. Schoen, M. Sciandrone.
    Machine learning for global optimization.
    Computational Optimization and Applications, vol. 51, pp. 279-303, 2012.
35. L. Chisci, A. Mavino, G. Perferi, M, Sciandrone, C. Anile, G. Colicchio, F. Fuggetta.
    Real time epileptic seizure prediction using AR models and Support Vector Machines.
    IEEE Transactions on Biomedical Engineering, vol. 57, pp. 1124-1132, 2010.
36. L. Grippo, M. Sciandrone.
    Nonmonotone globalization of the finite-difference Newton-GMRES method for nonlinear equations.
    Optimization Methods and Software , vol. 25, pp.971-999, 2010.
37. F. Rinaldi, M. Sciandrone.
    Feature selection combining linear support vector machines and concave optimization.
    Optimization Methods and Software , vol. 25, pp. 117-128, 2010.
38. S. Lucidi, L. Palagi, A. Risi, M. Sciandrone.
    A convergent hybrid decomposition algorithm model for SVM training.
    IEEE Transactions on Neural Networks, vol. 20, pp. 1055-1060, 2009.
39. A. De Gaetano, S. Panunzi, F. Rinaldi, A. Risi, M. Sciandrone.
    A patient adaptable ECG beat classifier using neural networks.
    Applied Mathematics and Computation, vol. 213, pp. 243-249, 2009.
40. A. Cassioli, M. Sciandrone.
    A convergent decomposition method for box-constrained optimization problems.
    Optimization Letters, vol. 3, pp. 397-409, 2009.
41. F. Rinaldi, F. Schoen, M. Sciandrone.
    Concave programming for minimizing the zero-norm over polyhedral sets.
    Computational Optimization and Applications, vol. 46, pp. 467,486, 2010.
42. C.-J. Lin, S. Lucidi, L. Palagi, A. Risi, M. Sciandrone.
    A decomposition algorithm model for singly linearly constrained problems subject to lower and upper bounds.
    Journal of Optimization Theory and Applications, vol. 141, pp. 107-126, 2009.
43. S. Lucidi, L. Palagi, A. Risi, M. Sciandrone.
    A convergent decomposition algorithm for support vector machines.
    Computational Optimization and Applications, vol. 38, pp. 217-234, 2007.
44. L. Grippo, M. Sciandrone.
    Nonmonotone derivative-free methods for nonlinear equations.
    Computational Optimization and Applications, vol. 27, pp. 297-328, 2007.
45. A. Germani, C. Manes, P. Palumbo, M. Sciandrone.
    Higher-order method for the solution of a nonlinear scalar equation.
    Journal of Optimization Theory and Applications, vol. 131, pp. 347-364, 2006.
46. G. Fasano, F. Lampariello, M. Sciandrone.
    A truncated nonmonotone Gauss-Newton method for large-scale nonlinearleast-squares problems.
    Computational Optimization and Applications, vol. 34 (3), pp. 343-358, 2006.
47. G. Liuzzi, S. Lucidi, M. Sciandrone.
    A derivative-free algorithm for linearly constrained finite minimax problems.
    SIAM Journal on Optimization, vol. 18, pp.1054-1075, 2006.
48. S. Lucidi, V. Piccialli, M. Sciandrone.
    An algorithm model for mixed variable programming.
    SIAM Journal on Optimization, vol. 14, pp.1057-1084, 2005.
49. L. Palagi, M. Sciandrone.
    On the convergence of a modified version of the SVMlight algorithm.
    Optimization Methods and Software, vol. 20, pp.315-332, 2005.
50. F. Lampariello, M. Sciandrone.
    Use of the “minimum norm” search direction in a nonmonotone version of the Gauss-Newton method.
    Journal of Optimization Theory and Applications, Vol. 119, pp.65-82, 2003.
51. L. Grippo, M. Sciandrone.
    Nonmonotone globalization techniques for the Barzilai-Borwein gradient method.
    Computational Optimization and Applications, Vol. 23, pp.143-169, 2002.
52. S. Lucidi, M. Sciandrone.
    On the Global Convergence of Derivative Free Methods for Unconstrained Optimization.
    SIAM Journal on Optimization, Vol. 13, pp. 97-116, 2002.
53. S. Lucidi, M. Sciandrone.
    A derivative-free algorithm for bound constrained optimization.
    Computational Optimization and Applications, Vol. 21 (2), pp.119-142, 2002.
54. S. Lucidi, M. Sciandrone, P. Tseng.
    Objective-derivative-free methods for constrained optimization.
    Mathematical Programming, Vol. 92 (1), pp. 37-59, 2002.
55. F. Lampariello, M. Sciandrone.
    Efficient training of RBF neural networks for pattern recognition.
    IEEE Transactions on Neural Networks, Vol. 12 (5), pp.1235-1242, 2001.
56. F. Lampariello, M. Sciandrone.
    Global convergence technique for the Newton method with periodic Hessian evaluation.
    Journal of Optimization Theory and Applications, Vol. 111 (2), pp.341-358, 2001.
57. C. Buzzi, L. Grippo, M. Sciandrone.
    Convergent decomposition techniques for training RBF neural networks.
    Neural Computation, Vol.13 (8), pp.1891-1920, 2001.
58. M. Sciandrone, G. Placidi, L. Testa, A. Sotgiu.
    Compact low field MRI magnet: design and optimization.
    Review of Scientific Instruments, Vol.71 (3), pp.1534-1538, 2000.
59. L. Grippo, M. Sciandrone.
    On the convergence of the block nonlinear Gauss-Seidel method under convex constraints.
    Operations Research Letters, Vol. 26 (3), pp.127-136, 2000.
60. L. Grippo, M. Sciandrone.
    Globally convergent block-coordinate techniques for unconstrained optimization.
    Optimization Methods and Software, Vol. 10 (4), pp.587-637, 1999.
61. S. Lucidi, M. Sciandrone.
    Numerical results for unconstrained optimization without derivatives.
    F. Giannessi and G. Di Pillo editors, “Nonlinear Optimization and Applications”, Plenum Publishing, pp. 261-269, 1995.
62. A. De Luca, R. Mattone, M. Sciandrone.
    Direct kinematics of articulated parallel manipulators using neural networks.
    3 IEEE Mediterranean Symposium on New Directions in Control and Automation, pp.53-60, 1995.