A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data. - Giovanni Corsini; Marco Diani; Raffaele Grasso; Beatrice Lazzerini; Francesco Marcelloni; Marco Cococcioni (IGARSS, 2002)

An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (KES, 2003)

A system based on hierarchical fuzzy clustering for web users profiling. - Beatrice Lazzerini; Francesco Marcelloni; Marco Cococcioni (SMC, 2003)

Approaching the ocean color problem using fuzzy rules. - Marco Cococcioni; Giovanni Corsini; Beatrice Lazzerini; Francesco Marcelloni (IEEE Trans. Syst. Man Cybern. Part B, 2004)

New approaches to fuzzy modelling and multiple classifier fusion. - Marco Cococcioni (2004)

Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms. - Marco Cococcioni; Pierluigi Guasqui; Beatrice Lazzerini; Francesco Marcelloni (WILF, 2005)

A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IEEE Congress on Evolutionary Computation, 2007)

Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (FUZZ-IEEE, 2007)

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans. - Michela Antonelli; Marco Cococcioni; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (KES (1), 2007)

Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (Pattern Recognit., 2007)

A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems. - Marco Cococcioni; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2007)

A Multi-Classifier System for Pulmonary Nodule Classification. - Michela Antonelli; Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni; Dan C. Stefanescu (CBMS, 2008)

Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (HIS, 2008)

Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization. - Marco Cococcioni; Luca Foschini 002; Beatrice Lazzerini; Francesco Marcelloni (SMC, 2008)

Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems. - Marco Cococcioni; Giovanni Corsini; Beatrice Lazzerini; Francesco Marcelloni (Int. J. Knowl. Based Intell. Eng. Syst., 2008)

Automatic Diagnosis of Defects of Rolling Element Bearings Based on Computational Intelligence Techniques. - Marco Cococcioni; Beatrice Lazzerini; Sara Lioba Volpi (ISDA, 2009)

Rolling Element Bearing Fault Classification Using Soft Computing Techniques. - Beatrice Lazzerini; Marco Cococcioni; Sara Lioba Volpi (SMC, 2009)

Providing PRTools with fuzzy rule-based classifiers. - Marco Cococcioni; Eleonora D'Andrea; Beatrice Lazzerini (FUZZ-IEEE, 2010)

Rolling element bearing diagnosis using convex hull. - Sara Lioba Volpi; Marco Cococcioni; Beatrice Lazzerini; Dan C. Stefanescu (IJCNN, 2010)

Building a time variant cost-oriented classifier using an ensemble of SVMs on a real case application. - Linda Corucci; Marco Cococcioni; Fabio Nardelli (SMC, 2010)

A generic decision support architecture for maritime operations. - Raffaele Grasso; Marco Cococcioni; Michel Rixen; Charles Trees; Alberto Baldacci (Int. J. Intell. Def. Support Syst., 2010)

Rapid prototyping of high performance fuzzy computing applications using high level GPU programming for maritime operations support. - Marco Cococcioni; Raffaele Grasso; Michel Rixen (CISDA, 2011)

A hybrid continuity preserving inference strategy to speed up Takagi-Sugeno multiobjective genetic fuzzy systems. - Marco Cococcioni; Raffaele Grasso; Michel Rixen (GEFS, 2011)

24-hour-ahead forecasting of energy production in solar PV systems. - Marco Cococcioni; Eleonora D'Andrea; Beatrice Lazzerini (ISDA, 2011)

On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (Appl. Soft Comput., 2011)

A Decision Support Architecture for Maritime Operations Exploiting Multiple METOC Centres and Uncertainty. - Raffaele Grasso; Marco Cococcioni; Michel Rixen; Alberto Baldacci (Int. J. Strateg. Decis. Sci., 2011)

Computer-aided detection of lung nodules based on decision fusion techniques. - Michela Antonelli; Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (Pattern Anal. Appl., 2011)

One day-ahead forecasting of energy production in solar photovoltaic installations: An empirical study. - Marco Cococcioni; Eleonora D'Andrea; Beatrice Lazzerini (Intell. Decis. Technol., 2012)

A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization. - Raffaele Grasso; Marco Cococcioni; Baptiste Mourre; John Osler; Jacopo Chiggiato (Expert Syst. Appl., 2013)

Robust Diagnosis of Rolling Element Bearings Based on Classification Techniques. - Marco Cococcioni; Beatrice Lazzerini; Sara Lioba Volpi (IEEE Trans. Ind. Informatics, 2013)

A semi-supervised learning-aided evolutionary approach to occupational safety improvement. - Marco Cococcioni; Beatrice Lazzerini; Francesco Pistolesi (CEC, 2016)

Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS. - Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni; Francesco Pistolesi (SAC, 2016)

Mission Planning and Decision Support for Underwater Glider Networks: A Sampling on-Demand Approach. - Gabriele Ferri 002; Marco Cococcioni; Alberto Alvarez 001 (Sensors, 2016)

mspMEA: The Microcones Separation Parallel Multiobjective Evolutionary Algorithm and Its Application to Fuzzy Rule-Based Ship Classification. - Marco Cococcioni (Recent Advances in Computational Intelligence in Defense and Security, 2016)

Computational Intelligence in Maritime Security and Defense: Challenges and Opportunities. - Marco Cococcioni (SSCI, 2018)

Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm. - Marco Cococcioni; Massimo Pappalardo; Yaroslav D. Sergeyev (Appl. Math. Comput., 2018)

Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing. - Lorenzo Fiaschi; Marco Cococcioni (Int. J. Unconv. Comput., 2018)

A Fast Approximation of the Hyperbolic Tangent When Using Posit Numbers and Its Application to Deep Neural Networks. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (ApplePies, 2019)

Novel Arithmetics to Accelerate Machine Learning Classifiers in Autonomous Driving Applications. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (ICECS, 2019)

Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems. - Marco Cococcioni; Alessandro Cudazzo; Massimo Pappalardo; Yaroslav D. Sergeyev (NUMTA (2), 2019)

Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities. - Lorenzo Fiaschi; Marco Cococcioni (NUMTA (2), 2019)

Photonic Neural Networks: A Survey. - Lorenzo De Marinis; Marco Cococcioni; Piero Castoldi; Nicola Andriolli (IEEE Access, 2019)

A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (SMARTCOMP, 2020)

Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using branch-and-bound and grossone methodology. - Marco Cococcioni; Alessandro Cudazzo; Massimo Pappalardo; Yaroslav D. Sergeyev (Commun. Nonlinear Sci. Numer. Simul., 2020)

Fast deep neural networks for image processing using posits and ARM scalable vector extension. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (J. Real Time Image Process., 2020)

Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (Sensors, 2020)

Solving mixed Pareto-Lexicographic multi-objective optimization problems: The case of priority chains. - Leonardo Lai; Lorenzo Fiaschi; Marco Cococcioni (Swarm Evol. Comput., 2020)

Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (ApplePies, 2021)

Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. - Leonardo Lai; Lorenzo Fiaschi; Marco Cococcioni; Kalyanmoy Deb (EMO, 2021)

Non-Archimedean game theory: A numerical approach. - Lorenzo Fiaschi; Marco Cococcioni (Appl. Math. Comput., 2021)

Non-Archimedean zero-sum games. - Marco Cococcioni; Lorenzo Fiaschi; Luca Lambertini (J. Comput. Appl. Math., 2021)

Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (Neural Comput. Appl., 2021)

The Big-M method with the numerical infinite M. - Marco Cococcioni; Lorenzo Fiaschi (Optim. Lett., 2021)

Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara; Benoît Dupont de Dinechin (IEEE Signal Process. Mag., 2021)

Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels. - Leonardo Lai; Lorenzo Fiaschi; Marco Cococcioni; Kalyanmoy Deb (IEEE Trans. Evol. Comput., 2021)

Design and FPGA Synthesis of BAN Processing Unit for Non-Archimedean Number Crunching. - Federico Rossi 003; Lorenzo Fiaschi; Marco Cococcioni; Sergio Saponara (ApplePies, 2022)

Experiments on Speeding Up the Recursive Fast Fourier Transform by Using AVX-512 SIMD Instructions. - Giacomo Sansone; Marco Cococcioni (ApplePies, 2022)

Small Reals Representations for Deep Learning at the Edge: A Comparison. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (CoNGA, 2022)

Photonic-Aware Neural Network: a fixed-point emulation of photonic hardware. - Emilio Paolini; Lorenzo De Marinis; Marco Cococcioni; Luca Valcarenghi; Luca Maggiani; Nicola Andriolli (OECC/PSC, 2022)

Non-Standard Analysis Revisited: An Easy Axiomatic Presentation Oriented Towards Numerical Applications. - Vieri Benci; Marco Cococcioni; Lorenzo Fiaschi (Int. J. Appl. Math. Comput. Sci., 2022)

Photonic-aware neural networks. - Emilio Paolini; Lorenzo De Marinis; Marco Cococcioni; Luca Valcarenghi; Luca Maggiani; Nicola Andriolli (Neural Comput. Appl., 2022)

A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications. - Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (IEEE Trans. Emerg. Top. Comput., 2022)

Speeding Up Non-archimedean Numerical Computations Using AVX-512 SIMD Instructions. - Lorenzo Fiaschi; Federico Rossi 003; Marco Cococcioni; Sergio Saponara (ApplePies, 2023)

Decoding-Free Two-Input Arithmetic for Low-Precision Real Numbers. - John L. Gustafson; Marco Cococcioni; Federico Rossi 003; Emanuele Ruffaldi; Sergio Saponara (CoNGA, 2023)

Dynamic Power Consumption of the Full Posit Processing Unit: Analysis and Experiments. - Michele Piccoli; Davide Zoni; William Fornaciari; Giuseppe Massari; Marco Cococcioni; Federico Rossi 003; Sergio Saponara; Emanuele Ruffaldi (PARMA-DITAM, 2023)

FPPU: Design and Implementation of a Pipelined Full Posit Processing Unit. - Federico Rossi 003; Francesco Urbani; Marco Cococcioni; Emanuele Ruffaldi; Sergio Saponara (CoRR, 2023)

Compressed Real Numbers for AI: a case-study using a RISC-V CPU. - Federico Rossi 003; Marco Cococcioni; Roger Ferrer Ibáñez; Jesús Labarta; Filippo Mantovani; Marc Casas; Emanuele Ruffaldi; Sergio Saponara (CoRR, 2023)

CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks. - Emilio Paolini; Lorenzo De Marinis; Luca Maggiani; Marco Cococcioni; Nicola Andriolli (Neural Networks, 2023)

Pure and mixed lexicographic-paretian many-objective optimization: state of the art. - Leonardo Lai; Lorenzo Fiaschi; Marco Cococcioni; Kalyanmoy Deb (Nat. Comput., 2023)

LLAMA-2 Acceleration Using the ARM Scalable Vector Extension. - Federico Rossi 002; Marco Cococcioni; Sergio Saponara (ApplePies, 2024)

Optimal Synthesis of Multi-output Boolean Functions Using Modern ILP Solvers. - Alessandro Versari; Marco Cococcioni (ApplePies, 2024)

Lexicographic Multi-Objective Optimization Using Infinite, Finite and Infinitesimal Numbers. - Marco Cococcioni (ICORES, 2024)

Towards Formal Verification of Neural Networks in Cyber-Physical Systems. - Federico Rossi 003; Cinzia Bernardeschi; Marco Cococcioni; Maurizio Palmieri (NFM, 2024)

Informed deep hierarchical classification: a non-standard analysis inspired approach. - Lorenzo Fiaschi; Marco Cococcioni (CoRR, 2024)

Neural networks in closed-loop systems: Verification using interval arithmetic and formal prover. - Federico Rossi 003; Cinzia Bernardeschi; Marco Cococcioni (Eng. Appl. Artif. Intell., 2024)

A new cutting plane method for lexicographic multi-objective integer linear programming. - Marco Cococcioni; Alessandro Cudazzo; Lorenzo Fiaschi; Massimo Pappalardo; Yaroslav D. Sergeyev (Commun. Nonlinear Sci. Numer. Simul., 2024)

Linear programming with infinite, finite, and infinitesimal values in the right-hand side. - Marco Cococcioni; Lorenzo Fiaschi (Appl. Math. Comput., 2025)

Quantitative delay analysis of GI/G/1 queues with heavy-tailed traffic by means of Alpha Theory. - Francesco Fiorini; Marco Cococcioni; Michele Pagano (Comput. Networks, 2025)

Extending the Applicability of the Pollaczek- Khinchin Formula to the Case of Infinite Service Moments. - Francesco Fiorini; Marco Cococcioni; Michele Pagano (IEEE Trans. Commun., 2025)