Marco Cococcioni

Fast deep neural networks for image processing using posits and ARM scalable vector extension

Sergio Saponara, Federico Rossi, Emanuele Ruffaldi, 2020, Journal of Real-Time Image Processing.

Non-Archimedean game theory: A numerical approach

Marco Cococcioni, Lorenzo Fiaschi, M. Cococcioni, 2020, Appl. Math. Comput..

A Fast Approximation of the Hyperbolic Tangent When Using Posit Numbers and Its Application to Deep Neural Networks

Sergio Saponara, Federico Rossi, Emanuele Ruffaldi, 2019, ApplePies.

Solving mixed Pareto-Lexicographic multi-objective optimization problems: The case of priority chains

Marco Cococcioni, Lorenzo Fiaschi, Leonardo Lai, 2020, Swarm Evol. Comput..

Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using branch-and-bound and grossone methodology

Yaroslav D. Sergeyev, Massimo Pappalardo, Marco Cococcioni, 2020, Commun. Nonlinear Sci. Numer. Simul..

A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks

Sergio Saponara, Federico Rossi, Emanuele Ruffaldi, 2020, 2020 IEEE International Conference on Smart Computing (SMARTCOMP).

Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities

Sergio Saponara, Federico Rossi, Emanuele Ruffaldi, 2021, IEEE Signal Processing Magazine.

A Photonic Accelerator for Feature Map Generation in Convolutional Neural Networks

Nicola Andriolli, Federico Nesti, Marco Cococcioni, 2020 .

Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic

Sergio Saponara, Federico Rossi, Emanuele Ruffaldi, 2020, Sensors.

The Big-M method with the numerical infinite M

Marco Cococcioni, Lorenzo Fiaschi, M. Cococcioni, 2020, Optimization Letters.