Simone Spolaor

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 33

Top Topics

Biochemical Networks

Parameter Estimation

Top Venues

Fundam. Informaticae

Publications

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
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. Frontiers Bioinform. 3 (2023)
Davide Chicco, Simone Spolaor, Marco S. Nobile
Ten quick tips for fuzzy logic modeling of biomedical systems. PLoS Comput. Biol. 19 (12) (2023)
Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. CIBCB (2022)
Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni
SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks. Symmetry 14 (1) (2022)
Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile
The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. CIBCB (2022)
Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
A comparison of multi-objective optimization algorithms to identify drug target combinations. CIBCB (2021)
Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks. PLoS Comput. Biol. 17 (9) (2021)
Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga
The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data. CEC (2021)
Simone Spolaor, Caro Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile
Simpful: A User-Friendly Python Library for Fuzzy Logic. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile
On the automatic calibration of fully analogical spiking neuromorphic chips. IJCNN (2020)
Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, Simone Spolaor, Giancarlo Mauri, Daniela Besozzi, Marco S. Nobile
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling. Entropy 22 (3) (2020)
Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni
Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess. CIBCB (2020)
Marco S. Nobile, Eric Nisoli, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
cuProCell: GPU-Accelerated Analysis of Cell Proliferation With Flow Cytometry Data. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
Computational Intelligence for Life Sciences. Fundam. Informaticae 171 (1-4) (2020)
Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak
pyFUME: a Python Package for Fuzzy Model Estimation. FUZZ-IEEE (2020)
Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak
A Graph Theory Approach to Fuzzy Rule Base Simplification. IPMU (1) (2020)
Marco S. Nobile, Giuseppina Votta, Roberta Palorini, Simone Spolaor, Humberto De Vitto, Paolo Cazzaniga, Francesca Ricciardiello, Giancarlo Mauri, Lilia Alberghina, Ferdinando Chiaradonna, Daniela Besozzi
Fuzzy modeling and global optimization to predict novel therapeutic targets in cancer cells. Bioinform. 36 (7) (2020)
Simone Spolaor, Marco S. Nobile, Giancarlo Mauri, Paolo Cazzaniga, Daniela Besozzi
Coupling Mechanistic Approaches and Fuzzy Logic to Model and Simulate Complex Systems. IEEE Trans. Fuzzy Syst. 28 (8) (2020)
Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni
Which random is the best random? A study on sampling methods in Fourier surrogate modeling. CEC (2020)
Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Daniela Bossi, Paolo Cazzaniga, Luisa Lanfrancone, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
Modeling cell proliferation in human acute myeloid leukemia xenografts. Bioinform. 35 (18) (2019)
Simone Spolaor, Caro Fuchs, Uzay Kaymak, Marco S. Nobile
A Novel Multi-objective Approach to Fuzzy Clustering. SSCI (2019)
Simone Spolaor
Bridging Qualitative and Quantitative Modeling with FuzzX. ICTCS (2019)
Marco S. Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Daniela Besozzi
ProCell: Investigating cell proliferation with Swarm Intelligence. CIBCB (2019)
Caro Fuchs, Simone Spolaor, Marco S. Nobile, Uzay Kaymak
A Swarm Intelligence Approach to Avoid Local Optima in Fuzzy C-Means Clustering. FUZZ-IEEE (2019)
Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi
GenHap: a novel computational method based on genetic algorithms for haplotype assembly. BMC Bioinform. (4) (2019)
Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design. Appl. Soft Comput. 81 (2019)
Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò
High Performance Computing for Haplotyping: Models and Platforms. Euro-Par Workshops (2018)
Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
Computational Intelligence for Parameter Estimation of Biochemical Systems. CEC (2018)
Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile
GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach. PDP (2018)
Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems. CIBCB (2017)
Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile
Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance. CIBB (2017)
Marco S. Nobile, Antonio E. Porreca, Simone Spolaor, Luca Manzoni, Paolo Cazzaniga, Giancarlo Mauri, Daniela Besozzi
Efficient Simulation of Reaction Systems on Graphics Processing Units. Fundam. Informaticae 154 (1-4) (2017)
Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò
GenHap: A novel computational method based on genetic algorithms for haplotype assembly. PeerJ Prepr. 5 (2017)