Marco Cococcioni

Orcid: 0000-0002-7020-1524

According to our database1, Marco Cococcioni authored at least 71 papers between 2002 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A new cutting plane method for lexicographic multi-objective integer linear programming.
Commun. Nonlinear Sci. Numer. Simul., February, 2024

Lexicographic Multi-Objective Optimization Using Infinite, Finite and Infinitesimal Numbers.
Proceedings of the 13th International Conference on Operations Research and Enterprise Systems, 2024

2023
Pure and mixed lexicographic-paretian many-objective optimization: state of the art.
Nat. Comput., June, 2023

CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks.
Neural Networks, May, 2023

Compressed Real Numbers for AI: a case-study using a RISC-V CPU.
CoRR, 2023

FPPU: Design and Implementation of a Pipelined Full Posit Processing Unit.
CoRR, 2023

Dynamic Power Consumption of the Full Posit Processing Unit: Analysis and Experiments.
Proceedings of the 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2023

Decoding-Free Two-Input Arithmetic for Low-Precision Real Numbers.
Proceedings of the Next Generation Arithmetic - 4th International Conference, 2023

Speeding Up Non-archimedean Numerical Computations Using AVX-512 SIMD Instructions.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022
A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications.
IEEE Trans. Emerg. Top. Comput., 2022

Photonic-aware neural networks.
Neural Comput. Appl., 2022

Non-Standard Analysis Revisited: An Easy Axiomatic Presentation Oriented Towards Numerical Applications.
Int. J. Appl. Math. Comput. Sci., 2022

Photonic-Aware Neural Network: a fixed-point emulation of photonic hardware.
Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Small Reals Representations for Deep Learning at the Edge: A Comparison.
Proceedings of the Next Generation Arithmetic - Third International Conference, 2022

Experiments on Speeding Up the Recursive Fast Fourier Transform by Using AVX-512 SIMD Instructions.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

Design and FPGA Synthesis of BAN Processing Unit for Non-Archimedean Number Crunching.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

2021
Solving Mixed Pareto-Lexicographic Multiobjective Optimization Problems: The Case of Priority Levels.
IEEE Trans. Evol. Comput., 2021

Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities.
IEEE Signal Process. Mag., 2021

The Big-M method with the numerical infinite M.
Optim. Lett., 2021

Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE.
Neural Comput. Appl., 2021

Non-Archimedean zero-sum games.
J. Comput. Appl. Math., 2021

Non-Archimedean game theory: A numerical approach.
Appl. Math. Comput., 2021

Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2021

2020
Solving mixed Pareto-Lexicographic multi-objective optimization problems: The case of priority chains.
Swarm Evol. Comput., 2020

Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic.
Sensors, 2020

Fast deep neural networks for image processing using posits and ARM scalable vector extension.
J. Real Time Image Process., 2020

Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using branch-and-bound and grossone methodology.
Commun. Nonlinear Sci. Numer. Simul., 2020

A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks.
Proceedings of the IEEE International Conference on Smart Computing, 2020

2019
Photonic Neural Networks: A Survey.
IEEE Access, 2019

Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Novel Arithmetics to Accelerate Machine Learning Classifiers in Autonomous Driving Applications.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

A Fast Approximation of the Hyperbolic Tangent When Using Posit Numbers and Its Application to Deep Neural Networks.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2019

2018
Numerical Asymptotic Results in Game Theory Using Sergeyev's Infinity Computing.
Int. J. Unconv. Comput., 2018

Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm.
Appl. Math. Comput., 2018

Computational Intelligence in Maritime Security and Defense: Challenges and Opportunities.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

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

Mission Planning and Decision Support for Underwater Glider Networks: A Sampling on-Demand Approach.
Sensors, 2016

Solving the environmental economic dispatch problem with prohibited operating zones in microgrids using NSGA-II and TOPSIS.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A semi-supervised learning-aided evolutionary approach to occupational safety improvement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2013
Robust Diagnosis of Rolling Element Bearings Based on Classification Techniques.
IEEE Trans. Ind. Informatics, 2013

A decision support system for optimal deployment of sonobuoy networks based on sea current forecasts and multi-objective evolutionary optimization.
Expert Syst. Appl., 2013

2012
One day-ahead forecasting of energy production in solar photovoltaic installations: An empirical study.
Intell. Decis. Technol., 2012

2011
Computer-aided detection of lung nodules based on decision fusion techniques.
Pattern Anal. Appl., 2011

A Decision Support Architecture for Maritime Operations Exploiting Multiple METOC Centres and Uncertainty.
Int. J. Strateg. Decis. Sci., 2011

On reducing computational overhead in multi-objective genetic Takagi-Sugeno fuzzy systems.
Appl. Soft Comput., 2011

24-hour-ahead forecasting of energy production in solar PV systems.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A hybrid continuity preserving inference strategy to speed up Takagi-Sugeno multiobjective genetic fuzzy systems.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011

Rapid prototyping of high performance fuzzy computing applications using high level GPU programming for maritime operations support.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011

2010
A generic decision support architecture for maritime operations.
Int. J. Intell. Def. Support Syst., 2010

Building a time variant cost-oriented classifier using an ensemble of SVMs on a real case application.
Proceedings of the IEEE International Conference on Systems, 2010

Rolling element bearing diagnosis using convex hull.
Proceedings of the International Joint Conference on Neural Networks, 2010

Providing PRTools with fuzzy rule-based classifiers.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Rolling Element Bearing Fault Classification Using Soft Computing Techniques.
Proceedings of the IEEE International Conference on Systems, 2009

Automatic Diagnosis of Defects of Rolling Element Bearings Based on Computational Intelligence Techniques.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
Solving the ocean color inverse problem by using evolutionary multi-objective optimization of neuro-fuzzy systems.
Int. J. Knowl. Based Intell. Eng. Syst., 2008

Complexity reduction of Mamdani Fuzzy Systems through multi-valued logic minimization.
Proceedings of the IEEE International Conference on Systems, 2008

Fast Multiobjective Genetic Rule Learning Using an Efficient Method for Takagi-Sugeno Fuzzy Systems Identification.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Multi-Classifier System for Pulmonary Nodule Classification.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems.
Soft Comput., 2007

Estimating the concentration of optically active constituents of sea water by Takagi-Sugeno models with quadratic rule consequents.
Pattern Recognit., 2007

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space.
Proceedings of the FUZZ-IEEE 2007, 2007

A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

2004
New approaches to fuzzy modelling and multiple classifier fusion.
PhD thesis, 2004

Approaching the ocean color problem using fuzzy rules.
IEEE Trans. Syst. Man Cybern. Part B, 2004

2003
A system based on hierarchical fuzzy clustering for web users profiling.
Proceedings of the IEEE International Conference on Systems, 2003

An Artificial Olfactory System for Quality and Geographical Discrimination of Olive Oils.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
A fuzzy model for the retrieval of the sea water optically active constituents concentration from MERIS data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002


  Loading...