On the performance of switching BFGS/SR1 algorithms for unconstrained optimization. - Mehiddin Al-Baali; Antonio Fuduli; Roberto Musmanno (Optim. Methods Softw., 2004)

A DC piecewise affine model and a bundling technique in nonconvex nonsmooth minimization. - Antonio Fuduli; Manlio Gaudioso; Giovanni Giallombardo (Optim. Methods Softw., 2004)

Minimizing Nonconvex Nonsmooth Functions via Cutting Planes and Proximity Control. - Antonio Fuduli; Manlio Gaudioso; Giovanni Giallombardo (SIAM J. Optim., 2004)

A bundle modification strategy for convex minimization. - Alexey V. Demyanov; Antonio Fuduli; Giovanna Miglionico (Eur. J. Oper. Res., 2007)

Integrated Shipment Dispatching and Packing Problems: a Case Study. - Andrea Attanasio; Antonio Fuduli; Gianpaolo Ghiani; Chefi Triki (J. Math. Model. Algorithms, 2007)

Nonsmooth Optimization Techniques for Semisupervised Classification. - Annabella Astorino; Antonio Fuduli (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Non-smoothness in classification problems. - Annabella Astorino; Antonio Fuduli; Enrico Gorgone (Optim. Methods Softw., 2008)

DC models for spherical separation. - Annabella Astorino; Antonio Fuduli; Manlio Gaudioso (J. Glob. Optim., 2010)

Margin maximization in spherical separation. - Annabella Astorino; Antonio Fuduli; Manlio Gaudioso (Comput. Optim. Appl., 2012)

A Nonmonotone Proximal Bundle Method with (Potentially) Continuous Step Decisions. - Annabella Astorino; Antonio Frangioni; Antonio Fuduli; Enrico Gorgone (SIAM J. Optim., 2013)

A partially inexact bundle method for convex semi-infinite minmax problems. - Antonio Fuduli; Manlio Gaudioso; Giovanni Giallombardo; Giovanna Miglionico (Commun. Nonlinear Sci. Numer. Simul., 2015)

Support Vector Machine Polyhedral Separability in Semisupervised Learning. - Annabella Astorino; Antonio Fuduli (J. Optim. Theory Appl., 2015)

The Proximal Trajectory Algorithm in SVM Cross Validation. - Annabella Astorino; Antonio Fuduli (IEEE Trans. Neural Networks Learn. Syst., 2016)

On a recent algorithm for multiple instance learning. Preliminary applications in image classification. - Annabella Astorino; Antonio Fuduli; Pierangelo Veltri; Eugenio Vocaturo (BIBM, 2017)

A Multiple Instance Learning Algorithm for Color Images Classification. - Annabella Astorino; Antonio Fuduli; Manlio Gaudioso; Eugenio Vocaturo (IDEAS, 2018)

Multiple Instance Learning Algorithm for Medical Image Classification. - Annabella Astorino; Antonio Fuduli; Manlio Gaudioso; Eugenio Vocaturo (SEBD, 2019)

SVM-Based Multiple Instance Classification via DC Optimization. - Annabella Astorino; Antonio Fuduli; Giovanni Giallombardo; Giovanna Miglionico (Algorithms, 2019)

A Lagrangian Relaxation Approach for Binary Multiple Instance Classification. - Annabella Astorino; Antonio Fuduli; Manlio Gaudioso (IEEE Trans. Neural Networks Learn. Syst., 2019)

A subset-sum type formulation of a two-agent single-machine scheduling problem. - Matteo Avolio; Antonio Fuduli (Inf. Process. Lett., 2020)

Spherical separation with infinitely far center. - Annabella Astorino; Antonio Fuduli (Soft Comput., 2020)

Viral pneumonia images classification by Multiple Instance Learning: preliminary results. - Ester Zumpano; Antonio Fuduli; Eugenio Vocaturo; Matteo Avolio (IDEAS, 2021)

A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning. - Matteo Avolio; Antonio Fuduli (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multiple Instance Learning for viral pneumonia chest X-ray Classification. - Matteo Avolio; Antonio Fuduli; Eugenio Vocaturo; Ester Zumpano (SEBD, 2022)

A Lagrangian heuristics for balancing the average weighted completion times of two classes of jobs in a single-machine scheduling problem. - Matteo Avolio; Antonio Fuduli (EURO J. Comput. Optim., 2022)

A maximum-margin multisphere approach for binary Multiple Instance Learning. - Annabella Astorino; Matteo Avolio; Antonio Fuduli (Eur. J. Oper. Res., 2022)

A heuristic approach for multiple instance learning by linear separation. - Antonio Fuduli; Manlio Gaudioso; Walaa Khalaf; Eugenio Vocaturo (Soft Comput., 2022)

On Detection of Diabetic Retinopathy via Multiple Instance Learning. - Matteo Avolio; Antonio Fuduli; Eugenio Vocaturo; Ester Zumpano (IDEAS, 2023)

Multiple Instance Learning for Diabetic Retinopathy Detection. - Matteo Avolio; Antonio Fuduli; Eugenio Vocaturo; Ester Zumpano (SEBD, 2023)

Maximum-margin polyhedral separation for binary Multiple Instance Learning. - Annabella Astorino; Matteo Avolio; Antonio Fuduli (EURO J. Comput. Optim., 2023)

Partitional clustering via successive transportation problems. - Annabella Astorino; Matteo Avolio; Annamaria Canino; Teresa Crupi; Antonio Fuduli (Oper. Res. Lett., 2023)

The semiproximal SVM approach for multiple instance learning: a kernel-based computational study. - Matteo Avolio; Antonio Fuduli (Optim. Lett., 2024)

Multi-day routes in a multi-depot vehicle routing problem with intermediate replenishment facilities and time windows. - Matteo Avolio; Massimo Di Francesco; Antonio Fuduli; Enrico Gorgone; Roberto Wolfler Calvo (Comput. Oper. Res., 2025)