Marco Cococcioni
Marco Cococcioni
Associate Professor, Department of Information Engineering (University of Pisa)
Verified email at - Homepage
Cited by
Cited by
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems
M Cococcioni, P Ducange, B Lazzerini, F Marcelloni
Soft Computing 11 (11), 1013-1031, 2007
Photonic Neural Networks: a Survey
L De Marinis, M Cococcioni, P Castoldi, N Andriolli
IEEE Access,, 2019
Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm
M Cococcioni, M Pappalardo, YD Sergeyev
Applied Mathematics and Computation 318, 298-311, 2018
24-hour-ahead forecasting of energy production in solar PV systems
M Cococcioni, E D'Andrea, B Lazzerini
2011 11th International Conference on Intelligent Systems Design and …, 2011
Robust diagnosis of rolling element bearings based on classification techniques
M Cococcioni, B Lazzerini, S Volpi
IEEE Transactions on Industrial Informatics 9 (4), 2256-2263, 2013
The Big-M Method with the Numerical Infinite M
M Cococcioni, L Fiaschi
Optimization Letters 15, 2455–2468, 2021
Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using Branch-and-Bound and Grossone Methodology
M Cococcioni, A Cudazzo, M Pappalardo, YD Sergeyev
Communications in Nonlinear Science and Numerical Simulation 84, 105177, 2020
Exploiting Posit Arithmetic for Deep Neural Networks in Autonomous Driving Applications
M Cococcioni, E Ruffaldi, S Saponara
in Proc. of 3rd IEEE Automotive Conference 2018, Milan (Italy), 2018
On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems
M Cococcioni, B Lazzerini, F Marcelloni
Applied Soft Computing 11 (1), 675-688, 2011
Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities
M Cococcioni, F Rossi, E Ruffaldi, S Saponara, B De Dinechin
IEEE Signal Processing Magazine 37 (4), 2021
Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing
L Fiaschi, M Cococcioni
International Journal of Unconventional Computing 14, 1-25, 2018
Solving Mixed Pareto-Lexicographic Multi-Objective Optimization Problems: The Case of Priority Chains
L Lai, L Fiaschi, M Cococcioni
Swarm and Evolutionary Computation 55, 100687, 2020
Fast approximations of activation functions in deep neural networks when using posit arithmetic
M Cococcioni, F Rossi, E Ruffaldi, S Saponara
Sensors 20 (5), 1515, 2020
SVME: an ensemble of support vector machines for detecting oil spills from full resolution MODIS images
M Cococcioni, L Corucci, A Masini, F Nardelli
Ocean Dynamics 62, 449-467, 2012
One day-ahead forecasting of energy production in solar photovoltaic installations: An empirical study
M Cococcioni, E D'Andrea, B Lazzerini
Intelligent Decision Technologies 6 (3), 197-210, 2012
Mission planning and decision support for underwater glider networks: A sampling on-demand approach
G Ferri, M Cococcioni, A Alvarez
Sensors 16 (1), 28, 2015
Model based decision support for underwater glider operation monitoring
R Grasso, D Cecchi, M Cococcioni, C Trees, M Rixen, A Alvarez, C Strode
OCEANS 2010, 1-8, 2010
A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications
M Cococcioni, F Rossi, E Ruffaldi, S Saponara
IEEE Transactions on Emerging Topics in Computing 10 (4), 1898-1908, 2022
Approaching the ocean color problem using fuzzy rules
M Cococcioni, G Corsini, B Lazzerini, F Marcelloni
IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics 34 (3 …, 2004
Photonic Integrated Reconfigurable Linear Processors as Neural Network Accelerators
L De Marinis, M Cococcioni, O Liboiron-Ladouceur, G Contestabile, ...
Applied Sciences 11 (6232), 2021
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