Marco Cococcioni

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 42

Top Topics

Optimization Problems

Top Venues

Commun. Nonlinear Sci. Numer. Simul.

Publications

Marco Cococcioni, Alessandro Cudazzo, Lorenzo Fiaschi, Massimo Pappalardo, Yaroslav D. Sergeyev
A new cutting plane method for lexicographic multi-objective integer linear programming. Commun. Nonlinear Sci. Numer. Simul. 129 (2024)
Federico Rossi, Cinzia Bernardeschi, Marco Cococcioni, Maurizio Palmieri
Towards Formal Verification of Neural Networks in Cyber-Physical Systems. NFM (2024)
Marco Cococcioni
Lexicographic Multi-Objective Optimization Using Infinite, Finite and Infinitesimal Numbers. ICORES (2024)
Lorenzo Fiaschi, Federico Rossi, Marco Cococcioni, Sergio Saponara
Speeding Up Non-archimedean Numerical Computations Using AVX-512 SIMD Instructions. ApplePies (2023)
Federico Rossi, Francesco Urbani, Marco Cococcioni, Emanuele Ruffaldi, Sergio Saponara
FPPU: Design and Implementation of a Pipelined Full Posit Processing Unit. CoRR (2023)
Emilio Paolini, Lorenzo De Marinis, Luca Maggiani, Marco Cococcioni, Nicola Andriolli
CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks. Neural Networks 162 (2023)
Federico Rossi, Marco Cococcioni, Roger Ferrer Ibáñez, Jesús Labarta, Filippo Mantovani, Marc Casas, Emanuele Ruffaldi, Sergio Saponara
Compressed Real Numbers for AI: a case-study using a RISC-V CPU. CoRR (2023)
Michele Piccoli, Davide Zoni, William Fornaciari, Giuseppe Massari, Marco Cococcioni, Federico Rossi, Sergio Saponara, Emanuele Ruffaldi
Dynamic Power Consumption of the Full Posit Processing Unit: Analysis and Experiments. PARMA-DITAM (2023)
John L. Gustafson, Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
Decoding-Free Two-Input Arithmetic for Low-Precision Real Numbers. CoNGA (2023)
Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb
Pure and mixed lexicographic-paretian many-objective optimization: state of the art. Nat. Comput. 22 (2) (2023)
Emilio Paolini, Lorenzo De Marinis, Marco Cococcioni, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli
Photonic-Aware Neural Network: a fixed-point emulation of photonic hardware. OECC/PSC (2022)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
Small Reals Representations for Deep Learning at the Edge: A Comparison. CoNGA (2022)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Federico Rossi, Lorenzo Fiaschi, Marco Cococcioni, Sergio Saponara
Design and FPGA Synthesis of BAN Processing Unit for Non-Archimedean Number Crunching. ApplePies (2022)
Emilio Paolini, Lorenzo De Marinis, Marco Cococcioni, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli
Photonic-aware neural networks. Neural Comput. Appl. 34 (18) (2022)
Giacomo Sansone, Marco Cococcioni
Experiments on Speeding Up the Recursive Fast Fourier Transform by Using AVX-512 SIMD Instructions. ApplePies (2022)
Vieri Benci, Marco Cococcioni, Lorenzo Fiaschi
Non-Standard Analysis Revisited: An Easy Axiomatic Presentation Oriented Towards Numerical Applications. Int. J. Appl. Math. Comput. Sci. 32 (1) (2022)
Lorenzo Fiaschi, Marco Cococcioni
Non-Archimedean game theory: A numerical approach. Appl. Math. Comput. 409 (2021)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara, Benoît Dupont de Dinechin
Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities. IEEE Signal Process. Mag. 38 (1) (2021)
Marco Cococcioni, Lorenzo Fiaschi
The Big-M method with the numerical infinite M. Optim. Lett. 15 (7) (2021)
Marco Cococcioni, Lorenzo Fiaschi, Luca Lambertini
Non-Archimedean zero-sum games. J. Comput. Appl. Math. 393 (2021)
Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb
Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels. IEEE Trans. Evol. Comput. 25 (5) (2021)
Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb
Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. EMO (2021)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine. ApplePies (2021)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE. Neural Comput. Appl. 33 (16) (2021)
Marco Cococcioni, Alessandro Cudazzo, Massimo Pappalardo, Yaroslav D. Sergeyev
Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using branch-and-bound and grossone methodology. Commun. Nonlinear Sci. Numer. Simul. 84 (2020)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic. Sensors 20 (5) (2020)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
Fast deep neural networks for image processing using posits and ARM scalable vector extension. J. Real Time Image Process. 17 (3) (2020)
Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni
Solving mixed Pareto-Lexicographic multi-objective optimization problems: The case of priority chains. Swarm Evol. Comput. 55 (2020)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks. SMARTCOMP (2020)
Lorenzo De Marinis, Marco Cococcioni, Piero Castoldi, Nicola Andriolli
Photonic Neural Networks: A Survey. IEEE Access 7 (2019)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
Novel Arithmetics to Accelerate Machine Learning Classifiers in Autonomous Driving Applications. ICECS (2019)
Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
A Fast Approximation of the Hyperbolic Tangent When Using Posit Numbers and Its Application to Deep Neural Networks. ApplePies (2019)
Lorenzo Fiaschi, Marco Cococcioni
Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities. NUMTA (2) (2019)
Marco Cococcioni, Alessandro Cudazzo, Massimo Pappalardo, Yaroslav D. Sergeyev
Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems. NUMTA (2) (2019)
Marco Cococcioni
Computational Intelligence in Maritime Security and Defense: Challenges and Opportunities. SSCI (2018)
Marco Cococcioni, Massimo Pappalardo, Yaroslav D. Sergeyev
Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm. Appl. Math. Comput. 318 (2018)
Lorenzo Fiaschi, Marco Cococcioni
Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing. CoRR (2018)
Lorenzo Fiaschi, Marco Cococcioni
Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing. Int. J. Unconv. Comput. 14 (1) (2018)
Gabriele Ferri, Marco Cococcioni, Alberto Alvarez
Mission Planning and Decision Support for Underwater Glider Networks: A Sampling on-Demand Approach. Sensors 16 (1) (2016)
Marco Cococcioni, Beatrice Lazzerini, Francesco Pistolesi
A semi-supervised learning-aided evolutionary approach to occupational safety improvement. CEC (2016)
Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni, Francesco Pistolesi
Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS. SAC (2016)
Raffaele Grasso, Marco Cococcioni, Baptiste Mourre, John Osler, Jacopo Chiggiato
A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization. Expert Syst. Appl. 40 (10) (2013)
Marco Cococcioni, Beatrice Lazzerini, Sara Lioba Volpi
Robust Diagnosis of Rolling Element Bearings Based on Classification Techniques. IEEE Trans. Ind. Informatics 9 (4) (2013)
Marco Cococcioni, Eleonora D'Andrea, Beatrice Lazzerini
One day-ahead forecasting of energy production in solar photovoltaic installations: An empirical study. Intell. Decis. Technol. 6 (3) (2012)
Marco Cococcioni, Eleonora D'Andrea, Beatrice Lazzerini
24-hour-ahead forecasting of energy production in solar PV systems. ISDA (2011)
Raffaele Grasso, Marco Cococcioni, Michel Rixen, Alberto Baldacci
A Decision Support Architecture for Maritime Operations Exploiting Multiple METOC Centres and Uncertainty. Int. J. Strateg. Decis. Sci. 2 (1) (2011)
Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
Computer-aided detection of lung nodules based on decision fusion techniques. Pattern Anal. Appl. 14 (3) (2011)
Marco Cococcioni, Raffaele Grasso, Michel Rixen
A hybrid continuity preserving inference strategy to speed up Takagi-Sugeno multiobjective genetic fuzzy systems. GEFS (2011)
Marco Cococcioni, Raffaele Grasso, Michel Rixen
Rapid prototyping of high performance fuzzy computing applications using high level GPU programming for maritime operations support. CISDA (2011)
Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems. Appl. Soft Comput. 11 (1) (2011)
Sara Lioba Volpi, Marco Cococcioni, Beatrice Lazzerini, Dan C. Stefanescu
Rolling element bearing diagnosis using convex hull. IJCNN (2010)
Raffaele Grasso, Marco Cococcioni, Michel Rixen, Charles Trees, Alberto Baldacci
A generic decision support architecture for maritime operations. Int. J. Intell. Def. Support Syst. 3 (3/4) (2010)
Linda Corucci, Marco Cococcioni, Fabio Nardelli
Building a time variant cost-oriented classifier using an ensemble of SVMs on a real case application. SMC (2010)
Marco Cococcioni, Eleonora D'Andrea, Beatrice Lazzerini
Providing PRTools with fuzzy rule-based classifiers. FUZZ-IEEE (2010)
Beatrice Lazzerini, Marco Cococcioni, Sara Lioba Volpi
Rolling Element Bearing Fault Classification Using Soft Computing Techniques. SMC (2009)
Marco Cococcioni, Beatrice Lazzerini, Sara Lioba Volpi
Automatic Diagnosis of Defects of Rolling Element Bearings Based on Computational Intelligence Techniques. ISDA (2009)
Marco Cococcioni, Luca Foschini, Beatrice Lazzerini, Francesco Marcelloni
Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization. SMC (2008)
Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni, Dan C. Stefanescu
A Multi-Classifier System for Pulmonary Nodule Classification. CBMS (2008)
Marco Cococcioni, Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni
Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems. Int. J. Knowl. Based Intell. Eng. Syst. 12 (5-6) (2008)
Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification. HIS (2008)
Michela Antonelli, Marco Cococcioni, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans. KES (1) (2007)
Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space. FUZZ-IEEE (2007)
Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization. IEEE Congress on Evolutionary Computation (2007)
Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents. Pattern Recognit. 40 (10) (2007)
Marco Cococcioni, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems. Soft Comput. 11 (11) (2007)
Marco Cococcioni, Pierluigi Guasqui, Beatrice Lazzerini, Francesco Marcelloni
Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms. WILF (2005)
Marco Cococcioni, Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni
Approaching the ocean color problem using fuzzy rules. IEEE Trans. Syst. Man Cybern. Part B 34 (3) (2004)
Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils. KES (2003)
Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni
A system based on hierarchical fuzzy clustering for web users profiling. SMC (2003)
Giovanni Corsini, Marco Diani, Raffaele Grasso, Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni
A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data. IGARSS (2002)