Marco S. Nobile

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Paolo CazzanigaAssociate Professor, University of BergamoVerified email at unibg.it
Daniela BesozziAssociate Professor, University of Milano-BicoccaVerified email at unimib.it
Andrea TangherloniAssistant Professor, Bocconi UniversityVerified email at unibocconi.it
Simone SpolaorPostdoc, Eindhoven University of TechnologyVerified email at tue.nl
Leonardo RundoAssociate Professor, University of SalernoVerified email at unisa.it
Uzay KaymakProfessor of information systems in the healthcare, Eindhoven University of TechnologyVerified email at ieee.org
Caro FuchsUniversity of Technology EindhovenVerified email at tue.nl
Daniele Maria PapettiPh.D. student in Computer Science, Università degli Studi di Milano-BicoccaVerified email at unimib.it
Luca ManzoniDipartimento di Matematica, Informatica e Geoscienze, Università degli Studi di TriesteVerified email at units.it
Gabriella PasiUniversità degli Studi di Milano BicoccaVerified email at unimib.it
Pietro LiòProfessor, University of CambridgeVerified email at cam.ac.uk
Thalia VlachouPost-doctoral fellow, European Institute of OncologyVerified email at ieo.it
Camilla Torlascouniversity of Milan-BicoccaVerified email at auxologico.it
Giulia CapitoliResearch fellow, Bicocca Bioinformatics Biostatistics and Bioimaging Centre - B4, School of Medicine and Surgery, University of Milano-Bicocca, Monza, ItalyVerified email at unimib.it
Isel GrauAssistant Professor at Eindhoven University of TechnologyVerified email at tue.nl
Peter KellmanNational Institutes of HealthVerified email at nih.gov
Vasco CoelhoUniversity of Milano-BicoccaVerified email at campus.unimib.it
Yingqian ZhangAssociate Professor of AI for Decision-Making, Eindhoven University of TechnologyVerified email at tue.nl
Elisa Perinot, PhDUniversidade do Estado de Rio de Janeiro, University of Veterinary Medicine ViennaVerified email at vetmeduni.ac.at
Bernhard VoelklUniversity of BernVerified email at vetsuisse.unibe.ch

Marco S. Nobile

Associate Professor, Ca' Foscari University of Venice

Verified email at unive.it - Homepage

Computational Intelligence Particle Swarm Optimization Interpretable AI Computational Biomedicine GPGPU Computing


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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	266	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	244	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	173	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	130	2019
Salp Swarm Optimization: a critical review M Castelli, L Manzoni, L Mariot, MS Nobile, A Tangherloni Expert Systems with Applications 189, 116029, 2022	76	2022
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	64	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	63	2020
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	61	2017
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	61	2012
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	60	2015
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	57	2019
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	56	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	54	2014
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	52	2014
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	47	2020
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	47	2018
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	37	2019
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	37	2015
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	32	2020
A swarm intelligence approach to avoid local optima in fuzzy c-means clustering C Fuchs, S Spolaor, MS Nobile, U Kaymak 2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-6, 2019	29	2019

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