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 | 141 | 2007 |
Photonic Neural Networks: a Survey L De Marinis, M Cococcioni, P Castoldi, N Andriolli IEEE Access, https://www.doi.org/10.1109/ACCESS.2019.2957245, 2019 | 129 | 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 | 106 | 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 | 101 | 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 | 90 | 2013 |
The Big-M Method with the Numerical Infinite M M Cococcioni, L Fiaschi Optimization Letters 15, 2455–2468, 2021 | 78 | 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 | 51 | 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 | 45 | 2018 |
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 | 44 | 2021 |
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 | 44 | 2011 |
Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing L Fiaschi, M Cococcioni International Journal of Unconventional Computing 14, 1-25, 2018 | 36 | 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 | 33 | 2020 |
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 | 31 | 2022 |
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 | 31 | 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 | 30 | 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 | 30 | 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 | 29 | 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 | 29 | 2010 |
Photonic Integrated Reconfigurable Linear Processors as Neural Network Accelerators L De Marinis, M Cococcioni, O Liboiron-Ladouceur, G Contestabile, ... Applied Sciences 11 (6232), 2021 | 28 | 2021 |
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 | 27 | 2004 |