Simone Spolaor

According to our database, Simone Spolaor authored at least 34 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Ten quick tips for fuzzy logic modeling of biomedical systems.

Davide Chicco, Simone Spolaor, Marco S. Nobile

PLoS Comput. Biol., December, 2023

Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning.

Daniele M. Papetti, Simone Spolaor, Iman Nazari, Andrea Tirelli, Tommaso Leonardi, Chiara Caprioli, Daniela Besozzi, Thalia Vlachou, Pier Giuseppe Pelicci, Paolo Cazzaniga, Marco S. Nobile

Frontiers Bioinform., May, 2023

2022

SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks.

Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni

Symmetry, 2022

Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization.

Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models.

Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021

FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks.

Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi

PLoS Comput. Biol., 2021

A comparison of multi-objective optimization algorithms to identify drug target combinations.

Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data.

Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Fuzzy logic for the modeling and simulation of complex systems.

Simone Spolaor

PhD thesis, 2020

cuProCell: GPU-Accelerated Analysis of Cell Proliferation With Flow Cytometry Data.

Marco S. Nobile, Eric Nisoli, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi

IEEE J. Biomed. Health Informatics, 2020

Coupling Mechanistic Approaches and Fuzzy Logic to Model and Simulate Complex Systems.

Simone Spolaor, Marco S. Nobile, Giancarlo Mauri, Paolo Cazzaniga, Daniela Besozzi

IEEE Trans. Fuzzy Syst., 2020

Simpful: A User-Friendly Python Library for Fuzzy Logic.

Simone Spolaor, Caro Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile

Int. J. Comput. Intell. Syst., 2020

Computational Intelligence for Life Sciences.

Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni

Fundam. Informaticae, 2020

Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling.

Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, Simone Spolaor, Giancarlo Mauri, Daniela Besozzi, Marco S. Nobile

Entropy, 2020

Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells.

Marco S. Nobile, Giuseppina Votta, Roberta Palorini, Simone Spolaor, Humberto De Vitto, Paolo Cazzaniga, Francesca Ricciardiello, Giancarlo Mauri, Lilia Alberghina, Ferdinando Chiaradonna, Daniela Besozzi

Bioinform., 2020

A Graph Theory Approach to Fuzzy Rule Base Simplification.

Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

On the automatic calibration of fully analogical spiking neuromorphic chips.

Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

pyFUME: a Python Package for Fuzzy Model Estimation.

Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess.

Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

Which random is the best random? A study on sampling methods in Fourier surrogate modeling.

Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Towards Human Cell Simulation.

Simone Spolaor, Marco Gribaudo, Mauro Iacono, Tomas Kadavy, Zuzana Komínková Oplatková, Giancarlo Mauri, Sabri Pllana, Roman Senkerik, Natalija Stojanovic, Esko Turunen, Adam Viktorin, Salvatore Vitabile, Ales Zamuda, Marco S. Nobile

Proceedings of the High-Performance Modelling and Simulation for Big Data Applications, 2019

GenHap: a novel computational method based on genetic algorithms for haplotype assembly.

Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi

BMC Bioinform., 2019

Modeling cell proliferation in human acute myeloid leukemia xenografts.

Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Daniela Bossi, Paolo Cazzaniga, Luisa Lanfrancone, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi

Bioinform., 2019

Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design.

Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile

Appl. Soft Comput., 2019

A Novel Multi-objective Approach to Fuzzy Clustering.

Simone Spolaor, Caro Fuchs, Uzay Kaymak, Marco S. Nobile

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Bridging Qualitative and Quantitative Modeling with FuzzX.

Simone Spolaor

Proceedings of the 20th Italian Conference on Theoretical Computer Science, 2019

A Swarm Intelligence Approach to Avoid Local Optima in Fuzzy C-Means Clustering.

Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

ProCell: Investigating cell proliferation with Swarm Intelligence.

Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2018

GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach.

Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

High Performance Computing for Haplotyping: Models and Platforms.

Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Computational Intelligence for Parameter Estimation of Biochemical Systems.

Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Efficient Simulation of Reaction Systems on Graphics Processing Units.

Marco S. Nobile, Antonio E. Porreca, Simone Spolaor, Luca Manzoni, Paolo Cazzaniga, Giancarlo Mauri, Daniela Besozzi

Fundam. Informaticae, 2017

Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems.

Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance.

Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017