Marco Cococcioni

发表

Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2016, SAC.

Novel Arithmetics to Accelerate Machine Learning Classifiers in Autonomous Driving Applications

Sergio Saponara, Marco Cococcioni, Federico Rossi, 2019, 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Computer-aided detection of lung nodules based on decision fusion techniques

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2011, Pattern Analysis and Applications.

Adaptive Sampling Using Fleets of Gliders in the Presence of Fixed Buoys: a Prototype Built Upon the MyOcean Service

Beatrice Lazzerini, Marco Cococcioni, Pierre F. J. Lermusiaux, 2014 .

Photonic Neural Networks: A Survey

Marco Cococcioni, Nicola Andriolli, Lorenzo De Marinis, 2019, IEEE Access.

Issues and preliminary results in oil spill detection using optical remotely sensed images

Beatrice Lazzerini, Marco Cococcioni, Linda Corucci, 2009, OCEANS 2009-EUROPE.

Building a time variant cost-oriented classifier using an ensemble of SVMs on a real case application

Marco Cococcioni, Linda Corucci, Fabio Nardelli, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Making the optimal sampling of the ocean simpler: An automatic tool for planning glider missions using forecasts downloaded from MyOcean

Beatrice Lazzerini, Marco Cococcioni, Alberto Alvarez, 2013, 2013 MTS/IEEE OCEANS - Bergen.

Decision Support during REP'10

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2010 .

Sampling on-demand using Gliders in Denied Areas: anInteractive Session

Marco Cococcioni, Gabriele Ferri, Alberto Alvarez, 2013 .

A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data

Marco Diani, Giovanni Corsini, Beatrice Lazzerini, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2007, 2007 IEEE International Fuzzy Systems Conference.

Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2007, Pattern Recognit..

Decision support for counter-piracy operations: analysis of correlations between attacks and METOC conditions using machine learning techniques

Marco Cococcioni, Giuseppe Bombara, John Osler, 2014 .

Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems

Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni, 2008, Int. J. Knowl. Based Intell. Eng. Syst..

A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2007, 2007 IEEE Congress on Evolutionary Computation.

Oil spill classification from multi-spectral satellite images: exploring different machine learning techniques

Marco Cococcioni, Linda Corucci, Fabio Nardelli, 2010, Remote Sensing.

A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2007, Soft Comput..

On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2011, Appl. Soft Comput..

Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A Decision Support Architecture for Maritime Operations Exploiting Multiple METOC Centres and Uncertainty

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2011, Int. J. Strateg. Decis. Sci..

24-hour-ahead forecasting of energy production in solar PV systems

Eleonora D'Andrea, Beatrice Lazzerini, Marco Cococcioni, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Automatic Diagnosis of Defects of Rolling Element Bearings Based on Computational Intelligence Techniques

Beatrice Lazzerini, Marco Cococcioni, Sara Lioba Volpi, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

A semi-supervised learning-aided evolutionary approach to occupational safety improvement

Beatrice Lazzerini, Marco Cococcioni, Francesco Pistolesi, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

The Evolutionary Multiobjective Optimization of Fuzzy Rule-Based Systems Bibliography Page

Marco Cococcioni, 2009 .

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2007, KES.

Bearing Condition Monitoring Using Classifier Fusion

Beatrice Lazzerini, Marco Cococcioni, Volpi Sara Lioba, 2009, SOCO 2009.

On the use of neural networks and fuzzy rules in the ocean colour analysis

Giovanni Corsini, Beatrice Lazzerini, Francesco Marcelloni, 2004 .

Bathymetry Estimation from Multi-Spectral Satellite Images Using a Neuro-Fuzzy Technique

Andrea Masini, Marco Cococcioni, Linda Corucci, 2010 .

An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2003, KES.

A system based on hierarchical fuzzy clustering for web users profiling

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization

Luca Foschini, Beatrice Lazzerini, Francesco Marcelloni, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Robust Diagnosis of Rolling Element Bearings Based on Classification Techniques

Beatrice Lazzerini, Marco Cococcioni, Sara Lioba Volpi, 2013, IEEE Transactions on Industrial Informatics.

Providing PRTools with fuzzy rule-based classifiers

Eleonora D'Andrea, Beatrice Lazzerini, Marco Cococcioni, 2010, International Conference on Fuzzy Systems.

SVME: an ensemble of support vector machines for detecting oil spills from full resolution MODIS images

Andrea Masini, Marco Cococcioni, Linda Corucci, 2012, Ocean Dynamics.

Sampling the Ocean Using Fleets of Gliders in the Presence of Non-Maneuverable Assets

Marco Cococcioni, Pierre F. J. Lermusiaux, 2014 .

Maritime Decision Support Systems Validation Involving METOC Officers During REP'10 Cruise

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2010 .

A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization

Marco Cococcioni, Raffaele Grasso, Jacopo Chiggiato, 2013, Expert Syst. Appl..

Rolling bearing monitoring using classification techniques

Marco Cococcioni, Paola Forte, S. Manconi, 2009 .

Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems

Marco Cococcioni, Yaroslav D. Sergeyev, Massimo Pappalardo, 2019, NUMTA.

A new approach to combining outputs of multiple classifiers

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

One day-ahead forecasting of energy production in solar photovoltaic installations: An empirical study

Eleonora D'Andrea, Beatrice Lazzerini, Marco Cococcioni, 2012, Intell. Decis. Technol..

Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2005, WILF.

mspMEA: The Microcones Separation Parallel Multiobjective Evolutionary Algorithm and Its Application to Fuzzy Rule-Based Ship Classification

Marco Cococcioni, 2016, Recent Advances in Computational Intelligence in Defense and Security.

A Multi-Classifier System for Pulmonary Nodule Classification

Beatrice Lazzerini, Michela Antonelli, Francesco Marcelloni, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Computational Intelligence in Maritime Security and Defense: Challenges and Opportunities

Marco Cococcioni, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

A generic decision support architecture for maritime operations

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2010, Int. J. Intell. Def. Support Syst..

Abstracts of the 2010 Maritime Environmental Assessment Conference (MREA’10)

Michel Rixen, Marco Cococcioni, Pierre F. J. Lermusiaux, 2010 .

Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing

Marco Cococcioni, Lorenzo Fiaschi, M. Cococcioni, 2018, Int. J. Unconv. Comput..

A review of DSSs developed at NURC and future trends

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2010 .

Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities

Marco Cococcioni, Lorenzo Fiaschi, 2019, NUMTA.

Operational decision making in the face of uncertainty

Marco Cococcioni, Christopher Strode, Raffaele Grasso, 2010 .

Identification of Mamdani Fuzzy Systems based on a Multi-Objective Genetic Algorithm

Beatrice Lazzerini, Pietro Ducange, Francesco Marcelloni, 2005 .

Towards Efficient Multi-objective Genetic Takagi-Sugeno Fuzzy Systems for High Dimensional Problems

Beatrice Lazzerini, Francesco Marcelloni, Marco Cococcioni, 2010 .

Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm

Marco Cococcioni, Yaroslav D. Sergeyev, Massimo Pappalardo, 2018, Appl. Math. Comput..

Mission Planning and Decision Support for Underwater Glider Networks: A Sampling on-Demand Approach

Marco Cococcioni, Alberto Alvarez, Gabriele Ferri, 2015, Sensors.

Rolling element bearing diagnosis using convex hull

Beatrice Lazzerini, Marco Cococcioni, Dan C. Stefanescu, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Rapid prototyping of high performance fuzzy computing applications using high level GPU programming for maritime operations support

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2011, 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).

A maritime decision support system to assess risk in the presence of environmental uncertainties: the REP10 experiment

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2012, Ocean Dynamics.

Approaching bathymetry estimation from high resolution multispectral satellite images using a neuro-fuzzy technique

Andrea Masini, Marco Cococcioni, Linda Corucci, 2011 .

Exploiting Posit Arithmetic for Deep Neural Networks in Autonomous Driving Applications

Sergio Saponara, Marco Cococcioni, Emanuele Ruffaldi, 2018, 2018 International Conference of Electrical and Electronic Technologies for Automotive.

Sampling on-demand with fleets of underwater gliders

Marco Cococcioni, Alberto Alvarez, Gabriele Ferri, 2013, 2013 MTS/IEEE OCEANS - Bergen.

Challenges in Multi-Objective Evolutionary Optimization for Asset Planning Decision Support

Marco Cococcioni, 2015 .

Automatic extraction of fuzzy rules from MERIS data to identify sea water optically active constituent concentration

Marco Diani, Giovanni Corsini, Beatrice Lazzerini, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

Rolling element bearing fault classification using soft computing techniques

Beatrice Lazzerini, Marco Cococcioni, Sara Lioba Volpi, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Adaptive sampling using fleets of underwater gliders in the presence of fixed buoys using a constrained clustering algorithm

Beatrice Lazzerini, Marco Cococcioni, Pierre F. J. Lermusiaux, 2015, OCEANS 2015 - Genova.

Computing with Infinite and Infinitesimal Numbers in Matlab easily: The Grossone-Light Toolbox

Marco Cococcioni, 2016 .

A hybrid continuity preserving inference strategy to speed up Takagi-Sugeno multiobjective genetic fuzzy systems

Michel Rixen, Marco Cococcioni, Raffaele Grasso, 2011, 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Self Organizing Networks ofGliders for Adaptive Sampling of the Ocean

Marco Cococcioni, Daniele Cecchi, Raffaele Grasso, 2010 .

Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems

Kalyanmoy Deb, Marco Cococcioni, Lorenzo Fiaschi, 2021, International Conference on Evolutionary Multi-Criterion Optimization.

Faster deep neural network image processing by using vectorized posit operations on a RISC-V processor

Sergio Saponara, Marco Cococcioni, Federico Rossi, 2021, Defense + Commercial Sensing.

Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE

Sergio Saponara, Marco Cococcioni, Federico Rossi, 2021, Neural Computing and Applications.

Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels

Kalyanmoy Deb, Marco Cococcioni, Lorenzo Fiaschi, 2021, IEEE Transactions on Evolutionary Computation.

Non-Archimedean zero-sum games

Marco Cococcioni, Luca Lambertini, Lorenzo Fiaschi, 2021, J. Comput. Appl. Math..

The algorithmic numbers in non-archimedean numerical computing environments

Marco Cococcioni, Vieri Benci, 2021 .

Photonic Integrated Reconfigurable Linear Processors as Neural Network Accelerators

Piero Castoldi, Marco Cococcioni, Odile Liboiron-Ladouceur, 2021, Applied Sciences.

A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications

Sergio Saponara, Marco Cococcioni, Federico Rossi, 2021, IEEE Transactions on Emerging Topics in Computing.

A Non-Archimedean Interior Point Method for Solving Lexicographic Multi-Objective Quadratic Programming Problems

Marco Cococcioni, Lorenzo Fiaschi, M. Cococcioni, 2021 .

Short-time forecasting of renewable production energy in solar photovoltaic installations

Eleonora D'Andrea, Beatrice Lazzerini, Marco Cococcioni, 2010 .

Towards lexicographic multi-objective linear programming using grossone methodology

Marco Cococcioni, Yaroslav D. Sergeyev, Massimo Pappalardo, 2016 .