Marco S. Nobile
Cited by
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USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L Rundo, C Han, Y Nagano, J Zhang, R Hataya, C Militello, A Tangherloni, ...
Neurocomputing 365, 31-43, 2019
Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization
MS Nobile, P Cazzaniga, D Besozzi, R Colombo, G Mauri, G Pasi
Swarm and Evolutionary Computation 39, 70-85, 2018
Graphics Processing Units in Bioinformatics, Computational Biology and Systems Biology
MS Nobile, P Cazzaniga, A Tangherloni, D Besozzi
Briefings in Bioinformatics 18 (5), 870-885, 2016
MedGA: a novel evolutionary method for image enhancement in medical imaging systems
L Rundo, A Tangherloni, MS Nobile, C Militello, D Besozzi, G Mauri, ...
Expert Systems with Applications 119, 387-399, 2019
A GPU-based multi-swarm PSO method for parameter estimation in stochastic biological systems exploiting discrete-time target series
MS Nobile, D Besozzi, P Cazzaniga, G Mauri, D Pescini
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2012
Computational strategies for a system-level understanding of metabolism
P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ...
Metabolites 4 (4), 1034-1087, 2014
Salp Swarm Optimization: a critical review
M Castelli, L Manzoni, L Mariot, MS Nobile, A Tangherloni
Expert Systems with Applications 189, 116029, 2022
Proactive particles in swarm optimization: A settings-free algorithm for real-parameter single objective optimization problems
A Tangherloni, L Rundo, MS Nobile
2017 IEEE congress on evolutionary computation (CEC), 1940-1947, 2017
The impact of particles initialization in PSO: parameter estimation as a case in point
P Cazzaniga, MS Nobile, D Besozzi
2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design
A Tangherloni, S Spolaor, P Cazzaniga, D Besozzi, L Rundo, G Mauri, ...
Applied Soft Computing 81, 105494, 2019
GPU-accelerated simulations of mass-action kinetics models with cupSODA
MS Nobile, P Cazzaniga, D Besozzi, G Mauri
The Journal of Supercomputing 69, 17-24, 2014
Simpful: a user-friendly python library for fuzzy logic
S Spolaor, C Fuchs, P Cazzaniga, U Kaymak, D Besozzi, MS Nobile
International Journal of Computational Intelligence Systems 13 (1), 1687-1698, 2020
A novel framework for MR image segmentation and quantification by using MedGA
L Rundo, A Tangherloni, P Cazzaniga, MS Nobile, G Russo, MC Gilardi, ...
Computer methods and programs in biomedicine 176, 159-172, 2019
cuTauLeaping: A GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems
MS Nobile, P Cazzaniga, D Besozzi, D Pescini, G Mauri
PLoS One 9 (3), e91963, 2014
Computational intelligence for parameter estimation of biochemical systems
MS Nobile, A Tangherloni, L Rundo, S Spolaor, D Besozzi, G Mauri, ...
2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018
CNN-based prostate zonal segmentation on T2-weighted MR images: a cross-dataset study
L Rundo, C Han, J Zhang, R Hataya, Y Nagano, C Militello, C Ferretti, ...
Neural Approaches to Dynamics of Signal Exchanges, 269-280, 2020
Proactive particles in swarm optimization: a self-tuning algorithm based on fuzzy logic
MS Nobile, G Pasi, P Cazzaniga, D Besozzi, R Colombo, G Mauri
2015 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2015
GenHap: a novel computational method based on genetic algorithms for haplotype assembly
A Tangherloni, S Spolaor, L Rundo, MS Nobile, P Cazzaniga, G Mauri, ...
BMC Bioinformatics 20 (4), 172, 2019
pyFUME: a Python package for fuzzy model estimation
C Fuchs, S Spolaor, MS Nobile, U Kaymak
2020 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2020
LASSIE: simulating large-scale models of biochemical systems on GPUs
A Tangherloni, MS Nobile, D Besozzi, G Mauri, P Cazzaniga
BMC Bioinformatics 18 (1), 246, 2017
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