Gabriele Di Bari

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 13

Top Topics

Crossover Operator

Differential Evolution

Numerical Optimization Problems

Top Venues

GECCO Companion

Fundam. Informaticae

EvoApplications

Publications

Alina Elena Baia, Gabriele Di Bari, Valentina Poggioni
Effective Universal Unrestricted Adversarial Attacks Using a MOE Approach. EvoApplications (2021)
Valentino Santucci, Marco Baioletti, Gabriele Di Bari
An improved memetic algebraic differential evolution for solving the multidimensional two-way number partitioning problem. Expert Syst. Appl. 178 (2021)
Alina Elena Baia, Gabriele Di Bari, Valentina Poggioni
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach. CoRR (2021)
Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Carlos Artemio Coello Coello
Smart Multi-Objective Evolutionary GAN. CEC (2021)
Marco Baioletti, Gabriele Di Bari, Alfredo Milani, Valentino Santucci
An Experimental Comparison of Algebraic Crossover Operators for Permutation Problems. Fundam. Informaticae 174 (3-4) (2020)
Marco Baioletti, Carlos Artemio Coello Coello, Gabriele Di Bari, Valentina Poggioni
Multi-objective evolutionary GAN. GECCO Companion (2020)
Gabriele Di Bari, Marco Baioletti, Valentino Santucci
An experimental evaluation of the algebraic differential evolution algorithm on the single row facility layout problem. GECCO Companion (2020)
Marco Baioletti, Gabriele Di Bari, Valentina Poggioni
An Analysis of Cooperative Coevolutionary Differential Evolution as Neural Networks Optimizer. WIVACE (2019)
Valentino Santucci, Marco Baioletti, Gabriele Di Bari, Alfredo Milani
A Binary Algebraic Differential Evolution for the MultiDimensional Two-Way Number Partitioning Problem. EvoCOP (2019)
Valentino Santucci, Stefania Spina, Alfredo Milani, Giulio Biondi, Gabriele Di Bari
Detecting Hate Speech for Italian Language in Social Media. EVALITA@CLiC-it (2018)
Marco Baioletti, Valerio Belli, Gabriele Di Bari, Valentina Poggioni
Neural Random Access Machines Optimized by Differential Evolution. AI*IA (2018)
Gabriele Di Bari
Evolutionary Optimization Techniques to enhance Deep Learning. DC@AI*IA (2018)
Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Mirco Tracolli
Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks? MOD (2017)