Mean value theorem for continuous vector functions by smooth approximations. - Davide La Torre; Matteo Rocca (Appl. Math. Lett., 2004)

Existence of Solutions and Star-shapedness in Minty Variational Inequalities. - Giovanni Paolo Crespi; Ivan Ginchev; Matteo Rocca (J. Glob. Optim., 2005)

Second-order conditions in C1, 1 constrained vector optimization. - Ivan Ginchev; Angelo Guerraggio; Matteo Rocca (Math. Program., 2005)

A note on Minty type vector variational inequalities. - Giovanni Paolo Crespi; Ivan Ginchev; Matteo Rocca (RAIRO Oper. Res., 2005)

First-order optimality conditions in set-valued optimization. - Giovanni Paolo Crespi; Ivan Ginchev; Matteo Rocca (Math. Methods Oper. Res., 2006)

Second-order Dini set-valued directional derivative in C 1, 1 vector optimization. - Ivan Ginchev; Angelo Guerraggio; Matteo Rocca (Optim. Methods Softw., 2010)

Variational Inequalities Characterizing Weak Minimality in Set Optimization. - Giovanni Paolo Crespi; Matteo Rocca; Carola Schrage (J. Optim. Theory Appl., 2015)

Quasiconvexity of set-valued maps assures well-posedness of robust vector optimization. - Giovanni Paolo Crespi; Daishi Kuroiwa; Matteo Rocca (Ann. Oper. Res., 2017)

Robust Nash equilibria in vector-valued games with uncertainty. - Giovanni Paolo Crespi; Daishi Kuroiwa; Matteo Rocca (Ann. Oper. Res., 2020)

Insights on the Theory of Robust Games. - Giovanni Paolo Crespi; Davide Radi; Matteo Rocca (CoRR, 2020)

Enabling Image-Based Streamflow Monitoring at the Edge. - Fabio Tosi; Matteo Rocca; Filippo Aleotti; Matteo Poggi; Stefano Mattoccia; Flavia Tauro; Elena Toth; Salvatore Grimaldi (Remote. Sens., 2020)

Set optimization of set-valued risk measures. - Elisa Mastrogiacomo; Matteo Rocca (Ann. Oper. Res., 2021)

Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets. - Davide La Torre; Danilo Liuzzi; Marco Repetto; Matteo Rocca (CoRR, 2021)

Set Relations via Families of Scalar Functions and Approximate Solutions in Set Optimization. - Giovanni Paolo Crespi; Andreas H. Hamel; Matteo Rocca; Carola Schrage (Math. Oper. Res., 2021)

Modeling portfolio efficiency using stochastic optimization with incomplete information and partial uncertainty. - Davide La Torre; Franklin Mendivil; Matteo Rocca (Ann. Oper. Res., 2024)

Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits. - Davide La Torre; Danilo Liuzzi; Marco Repetto; Matteo Rocca (Ann. Oper. Res., 2024)

A systematization of global well-posedness in vector optimization. - Matteo Rocca (Ann. Oper. Res., 2025)

Sensitivity to uncertainty and scalarization in robust multiobjective optimization: an overview with application to mean-variance portfolio optimization. - Matteo Rocca (Ann. Oper. Res., 2025)

Vector-valued games: characterization of equilibria in matrix games. - Giovanni Paolo Crespi; Daishi Kuroiwa; Matteo Rocca (Math. Methods Oper. Res., 2025)