Gabriele Di Bari

Orcid: 0000-0002-8341-8925

According to our database1, Gabriele Di Bari authored at least 11 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
An improved memetic algebraic differential evolution for solving the multidimensional two-way number partitioning problem.
Expert Syst. Appl., 2021

Effective Universal Unrestricted Adversarial Attacks Using a MOE Approach.
Proceedings of the Applications of Evolutionary Computation, 2021

Smart Multi-Objective Evolutionary GAN.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
An Experimental Comparison of Algebraic Crossover Operators for Permutation Problems.
Fundam. Informaticae, 2020

An experimental evaluation of the algebraic differential evolution algorithm on the single row facility layout problem.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-objective evolutionary GAN.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
An Analysis of Cooperative Coevolutionary Differential Evolution as Neural Networks Optimizer.
Proceedings of the Artificial Life and Evolutionary Computation - 14th Italian Workshop, 2019

A Binary Algebraic Differential Evolution for the MultiDimensional Two-Way Number Partitioning Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

2018
Detecting Hate Speech for Italian Language in Social Media.
Proceedings of the Sixth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2018) co-located with the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018), 2018

Neural Random Access Machines Optimized by Differential Evolution.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017
Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks?
Proceedings of the Machine Learning, Optimization, and Big Data, 2017


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